diff --git a/docs/_posts/DevinTDHa/2023-12-02-zero_shot_classifier_clip_vit_base_patch32_en.md b/docs/_posts/DevinTDHa/2023-12-02-zero_shot_classifier_clip_vit_base_patch32_en.md
new file mode 100644
index 000000000000..0cd9cc2246ea
--- /dev/null
+++ b/docs/_posts/DevinTDHa/2023-12-02-zero_shot_classifier_clip_vit_base_patch32_en.md
@@ -0,0 +1,149 @@
+---
+layout: model
+title: Image Zero Shot Classification with CLIP
+author: John Snow Labs
+name: zero_shot_classifier_clip_vit_base_patch32
+date: 2023-12-02
+tags: [classification, image, en, zero_shot, open_source, onnx]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CLIPForZeroShotClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+CLIP (Contrastive Language-Image Pre-Training) is a neural network that was trained on image
+and text pairs. It has the ability to predict images without training on any hard-coded
+labels. This makes it very flexible, as labels can be provided during inference. This is
+similar to the zero-shot capabilities of the GPT-2 and 3 models.
+
+This model was imported from huggingface transformers:
+https://huggingface.co/openai/clip-vit-base-patch32
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/zero_shot_classifier_clip_vit_base_patch32_en_5.2.0_3.0_1701541274927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/zero_shot_classifier_clip_vit_base_patch32_en_5.2.0_3.0_1701541274927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+import sparknlp
+from sparknlp.base import *
+from sparknlp.annotator import *
+from pyspark.ml import Pipeline
+
+imageDF = spark.read \
+ .format("image") \
+ .option("dropInvalid", value = True) \
+ .load("src/test/resources/image/")
+
+imageAssembler: ImageAssembler = ImageAssembler() \
+ .setInputCol("image") \
+ .setOutputCol("image_assembler")
+
+candidateLabels = [
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox"]
+
+imageClassifier = CLIPForZeroShotClassification \
+ .pretrained() \
+ .setInputCols(["image_assembler"]) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+pipeline = Pipeline().setStages([imageAssembler, imageClassifier])
+pipelineDF = pipeline.fit(imageDF).transform(imageDF)
+pipelineDF \
+ .selectExpr("reverse(split(image.origin, '/'))[0] as image_name", "label.result") \
+ .show(truncate=False)
+```
+```scala
+import com.johnsnowlabs.nlp.ImageAssembler
+import com.johnsnowlabs.nlp.annotator._
+import org.apache.spark.ml.Pipeline
+val imageDF = ResourceHelper.spark.read
+ .format("image")
+ .option("dropInvalid", value = true)
+ .load("src/test/resources/image/")
+val imageAssembler: ImageAssembler = new ImageAssembler()
+ .setInputCol("image")
+ .setOutputCol("image_assembler")
+val candidateLabels = Array(
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox")
+val imageClassifier = CLIPForZeroShotClassification
+ .pretrained()
+ .setInputCols("image_assembler")
+ .setOutputCol("label")
+ .setCandidateLabels(candidateLabels)
+val pipeline =
+ new Pipeline().setStages(Array(imageAssembler, imageClassifier)).fit(imageDF).transform(imageDF)
+pipeline
+ .selectExpr("reverse(split(image.origin, '/'))[0] as image_name", "label.result")
+ .show(truncate = false)
+```
+
+
+## Results
+
+```bash
++-----------------+-----------------------+
+|image_name |result |
++-----------------+-----------------------+
+|palace.JPEG |[a photo of a room] |
+|egyptian_cat.jpeg|[a photo of a cat] |
+|hippopotamus.JPEG|[a photo of a hippo] |
+|hen.JPEG |[a photo of a hen] |
+|ostrich.JPEG |[a photo of an ostrich]|
+|junco.JPEG |[a photo of a bird] |
+|bluetick.jpg |[a photo of a dog] |
+|chihuahua.jpg |[a photo of a dog] |
+|tractor.JPEG |[a photo of a tractor] |
+|ox.JPEG |[a photo of an ox] |
++-----------------+-----------------------+
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|zero_shot_classifier_clip_vit_base_patch32|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[classification]|
+|Language:|en|
+|Size:|392.8 MB|
diff --git a/docs/_posts/ahmedlone127/2023-09-15-hf_distilbert_imdb_mlm_cosine_en.md b/docs/_posts/ahmedlone127/2023-09-15-google_Job_data_tuned_trial_2_11_2_2022_en.md
similarity index 67%
rename from docs/_posts/ahmedlone127/2023-09-15-hf_distilbert_imdb_mlm_cosine_en.md
rename to docs/_posts/ahmedlone127/2023-09-15-google_Job_data_tuned_trial_2_11_2_2022_en.md
index 321a26b95758..09bd2241a5d4 100644
--- a/docs/_posts/ahmedlone127/2023-09-15-hf_distilbert_imdb_mlm_cosine_en.md
+++ b/docs/_posts/ahmedlone127/2023-09-15-google_Job_data_tuned_trial_2_11_2_2022_en.md
@@ -1,8 +1,8 @@
---
layout: model
-title: English hf_distilbert_imdb_mlm_cosine DistilBertEmbeddings from nos1de
+title: English google_job_data_tuned_trial_2_11_2_2022 DistilBertEmbeddings from EslamAhmed
author: John Snow Labs
-name: hf_distilbert_imdb_mlm_cosine
+name: google_job_data_tuned_trial_2_11_2_2022
date: 2023-09-15
tags: [distilbert, en, open_source, fill_mask, onnx]
task: Embeddings
@@ -19,13 +19,13 @@ use_language_switcher: "Python-Scala-Java"
## Description
-Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_distilbert_imdb_mlm_cosine` is a English model originally trained by nos1de.
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`google_job_data_tuned_trial_2_11_2_2022` is a English model originally trained by EslamAhmed.
{:.btn-box}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_distilbert_imdb_mlm_cosine_en_5.1.2_3.0_1694769976827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_distilbert_imdb_mlm_cosine_en_5.1.2_3.0_1694769976827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/google_job_data_tuned_trial_2_11_2_2022_en_5.1.2_3.0_1694772782812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/google_job_data_tuned_trial_2_11_2_2022_en_5.1.2_3.0_1694772782812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
## How to use
@@ -41,7 +41,7 @@ document_assembler = DocumentAssembler() \
.setOutputCol("documents")
-embeddings =DistilBertEmbeddings.pretrained("hf_distilbert_imdb_mlm_cosine","en") \
+embeddings =DistilBertEmbeddings.pretrained("google_job_data_tuned_trial_2_11_2_2022","en") \
.setInputCols(["documents","token"]) \
.setOutputCol("embeddings")
@@ -60,7 +60,7 @@ val document_assembler = new DocumentAssembler()
.setOutputCol("embeddings")
val embeddings = DistilBertEmbeddings
- .pretrained("hf_distilbert_imdb_mlm_cosine", "en")
+ .pretrained("google_job_data_tuned_trial_2_11_2_2022", "en")
.setInputCols(Array("documents","token"))
.setOutputCol("embeddings")
@@ -79,15 +79,15 @@ val pipelineDF = pipelineModel.transform(data)
{:.table-model}
|---|---|
-|Model Name:|hf_distilbert_imdb_mlm_cosine|
+|Model Name:|google_job_data_tuned_trial_2_11_2_2022|
|Compatibility:|Spark NLP 5.1.2+|
|License:|Open Source|
|Edition:|Official|
|Input Labels:|[documents, token]|
|Output Labels:|[embeddings]|
|Language:|en|
-|Size:|247.2 MB|
+|Size:|402.3 MB|
## References
-https://huggingface.co/nos1de/hf-distilbert-imdb-mlm-cosine
\ No newline at end of file
+https://huggingface.co/EslamAhmed/google_Job_data_tuned_trial_2_11-2-2022
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-09-15-google_job_data_tuned_trial_2_11_2_2022_en.md b/docs/_posts/ahmedlone127/2023-09-15-google_job_data_tuned_trial_2_11_2_2022_en.md
new file mode 100644
index 000000000000..09bd2241a5d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-09-15-google_job_data_tuned_trial_2_11_2_2022_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English google_job_data_tuned_trial_2_11_2_2022 DistilBertEmbeddings from EslamAhmed
+author: John Snow Labs
+name: google_job_data_tuned_trial_2_11_2_2022
+date: 2023-09-15
+tags: [distilbert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.1.2
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`google_job_data_tuned_trial_2_11_2_2022` is a English model originally trained by EslamAhmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/google_job_data_tuned_trial_2_11_2_2022_en_5.1.2_3.0_1694772782812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/google_job_data_tuned_trial_2_11_2_2022_en_5.1.2_3.0_1694772782812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|google_job_data_tuned_trial_2_11_2_2022|
+|Compatibility:|Spark NLP 5.1.2+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|402.3 MB|
+
+## References
+
+https://huggingface.co/EslamAhmed/google_Job_data_tuned_trial_2_11-2-2022
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_0_en.md b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_0_en.md
new file mode 100644
index 000000000000..63ff6f4d9abf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_0 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_0
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_0` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_0_en_5.1.4_3.4_1698355801234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_0_en_5.1.4_3.4_1698355801234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_0|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_1_en.md b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_1_en.md
new file mode 100644
index 000000000000..b1d8f49419a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_1 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_1
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_1` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_1_en_5.1.4_3.4_1698356568456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_1_en_5.1.4_3.4_1698356568456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_2_en.md b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_2_en.md
new file mode 100644
index 000000000000..f56b70df04fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_2 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_2
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_2` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_2_en_5.1.4_3.4_1698357439791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_2_en_5.1.4_3.4_1698357439791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_3_en.md b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_3_en.md
new file mode 100644
index 000000000000..c439ff051c32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_3 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_3
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_3` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_3_en_5.1.4_3.4_1698358205047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_3_en_5.1.4_3.4_1698358205047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_3|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_54_en.md b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_54_en.md
new file mode 100644
index 000000000000..013518226c1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_54_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_54 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_54
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_54` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_54_en_5.1.4_3.4_1698359049867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_54_en_5.1.4_3.4_1698359049867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_54|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-54
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_55_en.md b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_55_en.md
new file mode 100644
index 000000000000..b9dba8b98144
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_55_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_55 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_55
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_55` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_55_en_5.1.4_3.4_1698359796671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_55_en_5.1.4_3.4_1698359796671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_55|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-55
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_64_en.md b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_64_en.md
new file mode 100644
index 000000000000..4c00ff2586f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_64_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_64 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_64
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_64` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_64_en_5.1.4_3.4_1698360796049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_64_en_5.1.4_3.4_1698360796049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_64|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-64
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_65_en.md b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_65_en.md
new file mode 100644
index 000000000000..6bb1ad92ff78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_65_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_65 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_65
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_65` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_65_en_5.1.4_3.4_1698361659384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_65_en_5.1.4_3.4_1698361659384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_65|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-65
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_66_en.md b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_66_en.md
new file mode 100644
index 000000000000..08d4bbc52e6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_66_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_66 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_66
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_66` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_66_en_5.1.4_3.4_1698362656911.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_66_en_5.1.4_3.4_1698362656911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_66|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-66
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_67_en.md b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_67_en.md
new file mode 100644
index 000000000000..e5bad791da79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_67_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_67 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_67
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_67` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_67_en_5.1.4_3.4_1698363638009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_67_en_5.1.4_3.4_1698363638009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_67|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-67
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_68_en.md b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_68_en.md
new file mode 100644
index 000000000000..b054b5fa3d1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-512seq_len_6ep_bert_ft_cola_68_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_68 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_68
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_68` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_68_en_5.1.4_3.4_1698364742932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_68_en_5.1.4_3.4_1698364742932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_68|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-68
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_48_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_48_en.md
index 2ff46a75a015..8f7ad02ce844 100644
--- a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_48_en.md
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_48_en.md
@@ -21,11 +21,15 @@ use_language_switcher: "Python-Scala-Java"
Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_48` is a English model originally trained by Jeevesh8.
+## Predicted Entities
+
+
+
{:.btn-box}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_48_en_5.1.4_3.4_1698294005792.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_48_en_5.1.4_3.4_1698294005792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_48_en_5.1.4_3.4_1698311945088.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_48_en_5.1.4_3.4_1698311945088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
## How to use
@@ -34,7 +38,6 @@ Pretrained BertForSequenceClassification model, adapted from Hugging Face and cu
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
-
document_assembler = DocumentAssembler()\
.setInputCol("text")\
.setOutputCol("document")
@@ -52,10 +55,8 @@ pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifi
data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
result = pipeline.fit(data).transform(data)
-
```
```scala
-
val document_assembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")
@@ -73,8 +74,6 @@ val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequ
val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
val result = pipeline.fit(data).transform(data)
-
-
```
@@ -94,4 +93,6 @@ val result = pipeline.fit(data).transform(data)
## References
+References
+
https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-48
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_49_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_49_en.md
new file mode 100644
index 000000000000..af5eda62b533
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_49_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_49 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_49
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_49` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_49_en_5.1.4_3.4_1698312158484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_49_en_5.1.4_3.4_1698312158484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_49|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-49
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_50_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_50_en.md
new file mode 100644
index 000000000000..1903979fa129
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_50_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_50 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_50
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_50` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_50_en_5.1.4_3.4_1698312332331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_50_en_5.1.4_3.4_1698312332331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_50|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-50
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_51_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_51_en.md
new file mode 100644
index 000000000000..23ab27cd1637
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_51_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_51 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_51
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_51` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_51_en_5.1.4_3.4_1698312537974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_51_en_5.1.4_3.4_1698312537974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_51|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-51
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_52_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_52_en.md
new file mode 100644
index 000000000000..15999a30f912
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_52_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_52 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_52
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_52` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_52_en_5.1.4_3.4_1698312778407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_52_en_5.1.4_3.4_1698312778407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_52|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-52
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_53_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_53_en.md
new file mode 100644
index 000000000000..72e221a7b98b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_53_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_53 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_53
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_53` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_53_en_5.1.4_3.4_1698313021670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_53_en_5.1.4_3.4_1698313021670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_53|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-53
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_54_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_54_en.md
new file mode 100644
index 000000000000..9f92cffef313
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_54_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_54 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_54
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_54` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_54_en_5.1.4_3.4_1698313233806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_54_en_5.1.4_3.4_1698313233806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_54|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-54
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_55_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_55_en.md
new file mode 100644
index 000000000000..15d2243b971b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_55_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_55 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_55
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_55` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_55_en_5.1.4_3.4_1698313460889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_55_en_5.1.4_3.4_1698313460889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_55|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-55
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_56_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_56_en.md
new file mode 100644
index 000000000000..d3a3cb04170a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_56_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_56 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_56
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_56` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_56_en_5.1.4_3.4_1698313683387.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_56_en_5.1.4_3.4_1698313683387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_56|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-56
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_57_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_57_en.md
new file mode 100644
index 000000000000..68d23cc5aae0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_57_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_57 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_57
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_57` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_57_en_5.1.4_3.4_1698314637898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_57_en_5.1.4_3.4_1698314637898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_57|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-57
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_58_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_58_en.md
new file mode 100644
index 000000000000..544355faa848
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_58_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_58 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_58
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_58` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_58_en_5.1.4_3.4_1698315284546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_58_en_5.1.4_3.4_1698315284546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_58|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-58
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_59_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_59_en.md
new file mode 100644
index 000000000000..ef2a29baa27c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_59_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_59 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_59
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_59` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_59_en_5.1.4_3.4_1698315992641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_59_en_5.1.4_3.4_1698315992641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_59|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-59
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_60_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_60_en.md
new file mode 100644
index 000000000000..a42b385b876d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_60_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_60 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_60
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_60` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_60_en_5.1.4_3.4_1698316947252.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_60_en_5.1.4_3.4_1698316947252.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_60|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-60
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_61_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_61_en.md
new file mode 100644
index 000000000000..377a1df5de77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_61_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_61 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_61
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_61` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_61_en_5.1.4_3.4_1698317640443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_61_en_5.1.4_3.4_1698317640443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_61|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-61
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_62_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_62_en.md
new file mode 100644
index 000000000000..8970ca279c1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_62_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_62 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_62
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_62` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_62_en_5.1.4_3.4_1698318467583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_62_en_5.1.4_3.4_1698318467583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_62|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-62
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_63_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_63_en.md
new file mode 100644
index 000000000000..41245ff8b2c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_63_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_63 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_63
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_63` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_63_en_5.1.4_3.4_1698319516149.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_63_en_5.1.4_3.4_1698319516149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_63|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-63
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_64_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_64_en.md
new file mode 100644
index 000000000000..3fe1b23d441d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_64_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_64 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_64
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_64` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_64_en_5.1.4_3.4_1698320245612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_64_en_5.1.4_3.4_1698320245612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_64|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-64
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_65_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_65_en.md
new file mode 100644
index 000000000000..a09285c50b8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_65_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_65 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_65
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_65` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_65_en_5.1.4_3.4_1698321070755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_65_en_5.1.4_3.4_1698321070755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_65|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-65
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_66_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_66_en.md
new file mode 100644
index 000000000000..028fd52555a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_66_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_66 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_66
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_66` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_66_en_5.1.4_3.4_1698322077532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_66_en_5.1.4_3.4_1698322077532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_66|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-66
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_67_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_67_en.md
new file mode 100644
index 000000000000..65d027f8f472
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_67_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_67 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_67
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_67` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_67_en_5.1.4_3.4_1698322772084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_67_en_5.1.4_3.4_1698322772084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_67|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-67
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_68_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_68_en.md
new file mode 100644
index 000000000000..5020978989ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_68_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_68 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_68
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_68` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_68_en_5.1.4_3.4_1698323719081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_68_en_5.1.4_3.4_1698323719081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_68|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-68
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_69_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_69_en.md
new file mode 100644
index 000000000000..5746f7cddef8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_69_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_69 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_69
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_69` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_69_en_5.1.4_3.4_1698324511674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_69_en_5.1.4_3.4_1698324511674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_69|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-69
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_70_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_70_en.md
new file mode 100644
index 000000000000..8e21337c8055
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_70_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_70 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_70
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_70` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_70_en_5.1.4_3.4_1698325486183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_70_en_5.1.4_3.4_1698325486183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_70|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-70
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_71_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_71_en.md
new file mode 100644
index 000000000000..79e8b47d9fff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_71_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_71 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_71
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_71` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_71_en_5.1.4_3.4_1698326381065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_71_en_5.1.4_3.4_1698326381065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_71|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-71
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_72_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_72_en.md
new file mode 100644
index 000000000000..38cf42017ac5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_72_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_72 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_72
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_72` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_72_en_5.1.4_3.4_1698327397059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_72_en_5.1.4_3.4_1698327397059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_72|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-72
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_73_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_73_en.md
new file mode 100644
index 000000000000..0320755a87de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_73_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_73 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_73
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_73` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_73_en_5.1.4_3.4_1698328228027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_73_en_5.1.4_3.4_1698328228027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_73|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-73
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_74_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_74_en.md
new file mode 100644
index 000000000000..939e9b3c04f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_74_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_74 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_74
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_74` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_74_en_5.1.4_3.4_1698329243536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_74_en_5.1.4_3.4_1698329243536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_74|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-74
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_75_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_75_en.md
new file mode 100644
index 000000000000..70bd726eb9ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_75_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_75 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_75
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_75` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_75_en_5.1.4_3.4_1698330116575.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_75_en_5.1.4_3.4_1698330116575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_75|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-75
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_76_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_76_en.md
new file mode 100644
index 000000000000..a7bdc617358f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_76_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_76 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_76
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_76` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_76_en_5.1.4_3.4_1698330966136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_76_en_5.1.4_3.4_1698330966136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_76|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-76
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_77_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_77_en.md
new file mode 100644
index 000000000000..2dc9bb709ad7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_77_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_77 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_77
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_77` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_77_en_5.1.4_3.4_1698339508325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_77_en_5.1.4_3.4_1698339508325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_77|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-77
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_78_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_78_en.md
new file mode 100644
index 000000000000..ecd411cb2a3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_78_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_78 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_78
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_78` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_78_en_5.1.4_3.4_1698339691653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_78_en_5.1.4_3.4_1698339691653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_78|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-78
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_79_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_79_en.md
new file mode 100644
index 000000000000..f390a17c44ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_79_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_79 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_79
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_79` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_79_en_5.1.4_3.4_1698339914291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_79_en_5.1.4_3.4_1698339914291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_79|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-79
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_80_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_80_en.md
new file mode 100644
index 000000000000..4bf02ceedacc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_80_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_80 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_80
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_80` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_80_en_5.1.4_3.4_1698340113056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_80_en_5.1.4_3.4_1698340113056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_80|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-80
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_81_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_81_en.md
new file mode 100644
index 000000000000..d9c09d79fb31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_81_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_81 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_81
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_81` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_81_en_5.1.4_3.4_1698340303061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_81_en_5.1.4_3.4_1698340303061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_81|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-81
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_82_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_82_en.md
new file mode 100644
index 000000000000..9492c030d23e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_82_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_82 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_82
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_82` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_82_en_5.1.4_3.4_1698340490465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_82_en_5.1.4_3.4_1698340490465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_82|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-82
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_83_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_83_en.md
new file mode 100644
index 000000000000..ee496aae6aa0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_83_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_83 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_83
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_83` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_83_en_5.1.4_3.4_1698340650965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_83_en_5.1.4_3.4_1698340650965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_83|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-83
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_84_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_84_en.md
new file mode 100644
index 000000000000..43199e88eb83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_84_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_84 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_84
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_84` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_84_en_5.1.4_3.4_1698340818024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_84_en_5.1.4_3.4_1698340818024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_84|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-84
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_85_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_85_en.md
new file mode 100644
index 000000000000..9b41ed785de2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_85_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_85 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_85
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_85` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_85_en_5.1.4_3.4_1698340987075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_85_en_5.1.4_3.4_1698340987075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_85|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-85
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_86_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_86_en.md
new file mode 100644
index 000000000000..a52775a50b94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_86_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_86 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_86
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_86` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_86_en_5.1.4_3.4_1698341175773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_86_en_5.1.4_3.4_1698341175773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_86|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-86
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_87_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_87_en.md
new file mode 100644
index 000000000000..2a827624fe90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_87_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_87 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_87
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_87` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_87_en_5.1.4_3.4_1698341373677.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_87_en_5.1.4_3.4_1698341373677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_87|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-87
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_88_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_88_en.md
new file mode 100644
index 000000000000..b78b85376b0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_88_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_88 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_88
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_88` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_88_en_5.1.4_3.4_1698341564396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_88_en_5.1.4_3.4_1698341564396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_88|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-88
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_89_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_89_en.md
new file mode 100644
index 000000000000..bd5d59040884
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_89_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_89 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_89
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_89` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_89_en_5.1.4_3.4_1698342377586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_89_en_5.1.4_3.4_1698342377586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_89|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-89
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_90_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_90_en.md
new file mode 100644
index 000000000000..d6d6d0946b04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_90_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_90 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_90
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_90` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_90_en_5.1.4_3.4_1698343548621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_90_en_5.1.4_3.4_1698343548621.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_90|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-90
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_91_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_91_en.md
new file mode 100644
index 000000000000..2291778457c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_91_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_91 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_91
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_91` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_91_en_5.1.4_3.4_1698344286817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_91_en_5.1.4_3.4_1698344286817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_91|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-91
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_92_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_92_en.md
new file mode 100644
index 000000000000..8b3bc8e1a8c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_92_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_92 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_92
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_92` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_92_en_5.1.4_3.4_1698345383731.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_92_en_5.1.4_3.4_1698345383731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_92|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-92
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_93_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_93_en.md
new file mode 100644
index 000000000000..1ddce8a6bb65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_93_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_93 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_93
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_93` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_93_en_5.1.4_3.4_1698346402594.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_93_en_5.1.4_3.4_1698346402594.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_93|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-93
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_94_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_94_en.md
new file mode 100644
index 000000000000..719be73e8daa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_94_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_94 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_94
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_94` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_94_en_5.1.4_3.4_1698347297858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_94_en_5.1.4_3.4_1698347297858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_94|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-94
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_95_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_95_en.md
new file mode 100644
index 000000000000..47a737573f2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_95_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_95 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_95
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_95` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_95_en_5.1.4_3.4_1698348321692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_95_en_5.1.4_3.4_1698348321692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_95|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-95
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_96_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_96_en.md
new file mode 100644
index 000000000000..09065f7b8011
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_96 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_96
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_96` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_96_en_5.1.4_3.4_1698349137775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_96_en_5.1.4_3.4_1698349137775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_96|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_97_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_97_en.md
new file mode 100644
index 000000000000..f6977027ebf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_97_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_97 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_97
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_97` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_97_en_5.1.4_3.4_1698350218361.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_97_en_5.1.4_3.4_1698350218361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_97|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-97
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_98_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_98_en.md
new file mode 100644
index 000000000000..4041f4e7a655
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_98_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_98 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_98
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_98` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_98_en_5.1.4_3.4_1698351147127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_98_en_5.1.4_3.4_1698351147127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_98|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-98
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_99_en.md b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_99_en.md
new file mode 100644
index 000000000000..b2b61e4ff6b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-6ep_bert_ft_cola_99_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 6ep_bert_ft_cola_99 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 6ep_bert_ft_cola_99
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`6ep_bert_ft_cola_99` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_99_en_5.1.4_3.4_1698351964261.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/6ep_bert_ft_cola_99_en_5.1.4_3.4_1698351964261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|6ep_bert_ft_cola_99|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/6ep_bert_ft_cola-99
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-augmented_bert_en.md b/docs/_posts/ahmedlone127/2023-10-26-augmented_bert_en.md
new file mode 100644
index 000000000000..be15254dad9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-augmented_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English augmented_bert BertForSequenceClassification from noob123
+author: John Snow Labs
+name: augmented_bert
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`augmented_bert` is a English model originally trained by noob123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/augmented_bert_en_5.1.4_3.4_1698325486375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/augmented_bert_en_5.1.4_3.4_1698325486375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bangla_bert_base_vitd|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|bn|
+|Size:|616.9 MB|
+
+## References
+
+https://huggingface.co/ka05ar/bangla-bert-base-VITD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-beep_kcbert_base_hate_en.md b/docs/_posts/ahmedlone127/2023-10-26-beep_kcbert_base_hate_en.md
new file mode 100644
index 000000000000..9c566694e9d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-beep_kcbert_base_hate_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English beep_kcbert_base_hate BertForSequenceClassification from beomi
+author: John Snow Labs
+name: beep_kcbert_base_hate
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beep_kcbert_base_hate` is a English model originally trained by beomi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beep_kcbert_base_hate_en_5.1.4_3.4_1698341347704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beep_kcbert_base_hate_en_5.1.4_3.4_1698341347704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beep_kcbert_base_hate|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.4 MB|
+
+## References
+
+https://huggingface.co/beomi/beep-kcbert-base-hate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_action_romanian_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_action_romanian_en.md
new file mode 100644
index 000000000000..e6a93157ec51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_action_romanian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_action_romanian BertForSequenceClassification from LibrAI
+author: John Snow Labs
+name: bert_action_romanian
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_action_romanian` is a English model originally trained by LibrAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_action_romanian_en_5.1.4_3.4_1698351900116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_action_romanian_en_5.1.4_3.4_1698351900116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_action_romanian|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/LibrAI/bert-action-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_aig_flvs_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_aig_flvs_en.md
new file mode 100644
index 000000000000..3fabf676568e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_aig_flvs_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_aig_flvs BertForSequenceClassification from wallacenpj
+author: John Snow Labs
+name: bert_aig_flvs
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_aig_flvs` is a English model originally trained by wallacenpj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_aig_flvs_en_5.1.4_3.4_1698313666989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_aig_flvs_en_5.1.4_3.4_1698313666989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_aig_flvs|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/wallacenpj/bert_aig_flvs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_banking77_pt2_egel_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_banking77_pt2_egel_en.md
new file mode 100644
index 000000000000..6c5c2abbb474
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_banking77_pt2_egel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_egel BertForSequenceClassification from Egel
+author: John Snow Labs
+name: bert_base_banking77_pt2_egel
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_egel` is a English model originally trained by Egel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_egel_en_5.1.4_3.4_1698323789337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_egel_en_5.1.4_3.4_1698323789337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_egel|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/Egel/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_banking77_pt2_philschmid_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_banking77_pt2_philschmid_en.md
new file mode 100644
index 000000000000..3f9a0f154cf5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_banking77_pt2_philschmid_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_philschmid BertForSequenceClassification from philschmid
+author: John Snow Labs
+name: bert_base_banking77_pt2_philschmid
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_philschmid` is a English model originally trained by philschmid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_philschmid_en_5.1.4_3.4_1698355466992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_philschmid_en_5.1.4_3.4_1698355466992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_philschmid|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/philschmid/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_caption_classifier_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_caption_classifier_en.md
new file mode 100644
index 000000000000..4db421da1474
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_caption_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_caption_classifier BertForSequenceClassification from nielsr
+author: John Snow Labs
+name: bert_base_caption_classifier
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_caption_classifier` is a English model originally trained by nielsr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_caption_classifier_en_5.1.4_3.4_1698316747852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_caption_classifier_en_5.1.4_3.4_1698316747852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_caption_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/nielsr/bert-base-caption-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_cased_finetuned_mrpc_yangdechuan_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_cased_finetuned_mrpc_yangdechuan_en.md
new file mode 100644
index 000000000000..2f7c193ede32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_cased_finetuned_mrpc_yangdechuan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_mrpc_yangdechuan BertForSequenceClassification from yangdechuan
+author: John Snow Labs
+name: bert_base_cased_finetuned_mrpc_yangdechuan
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_mrpc_yangdechuan` is a English model originally trained by yangdechuan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_mrpc_yangdechuan_en_5.1.4_3.4_1698361422710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_mrpc_yangdechuan_en_5.1.4_3.4_1698361422710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_mrpc_yangdechuan|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/yangdechuan/bert-base-cased-finetuned-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_cased_zeyu2000_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_cased_zeyu2000_en.md
new file mode 100644
index 000000000000..2bc6aa931e6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_cased_zeyu2000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_cased_zeyu2000 BertForSequenceClassification from Zeyu2000
+author: John Snow Labs
+name: bert_base_cased_zeyu2000
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_zeyu2000` is a English model originally trained by Zeyu2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_zeyu2000_en_5.1.4_3.4_1698341138734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_zeyu2000_en_5.1.4_3.4_1698341138734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_hebban_reviews5|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|nl|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/BramVanroy/bert-base-dutch-cased-hebban-reviews5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_emotion_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_emotion_en.md
index 6cf358f69ff9..e92bf461d6eb 100644
--- a/docs/_posts/ahmedlone127/2023-10-26-bert_base_emotion_en.md
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_emotion_en.md
@@ -21,11 +21,15 @@ use_language_switcher: "Python-Scala-Java"
Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_emotion` is a English model originally trained by Anonymous1111.
+## Predicted Entities
+
+
+
{:.btn-box}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_emotion_en_5.1.4_3.4_1698294005799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
-[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_emotion_en_5.1.4_3.4_1698294005799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_emotion_en_5.1.4_3.4_1698311943722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_emotion_en_5.1.4_3.4_1698311943722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
## How to use
@@ -34,7 +38,6 @@ Pretrained BertForSequenceClassification model, adapted from Hugging Face and cu
{% include programmingLanguageSelectScalaPythonNLU.html %}
```python
-
document_assembler = DocumentAssembler()\
.setInputCol("text")\
.setOutputCol("document")
@@ -52,10 +55,8 @@ pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifi
data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
result = pipeline.fit(data).transform(data)
-
```
```scala
-
val document_assembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")
@@ -73,8 +74,6 @@ val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequ
val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
val result = pipeline.fit(data).transform(data)
-
-
```
@@ -94,4 +93,6 @@ val result = pipeline.fit(data).transform(data)
## References
+References
+
https://huggingface.co/Anonymous1111/bert-base-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_sts_brcps12_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_sts_brcps12_en.md
new file mode 100644
index 000000000000..d9f37febd1dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_sts_brcps12_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_finetuned_sts_brcps12 BertForSequenceClassification from brcps12
+author: John Snow Labs
+name: bert_base_finetuned_sts_brcps12
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_sts_brcps12` is a English model originally trained by brcps12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_brcps12_en_5.1.4_3.4_1698356608256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_brcps12_en_5.1.4_3.4_1698356608256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_sts_brcps12|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/brcps12/bert-base-finetuned-sts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_sts_wisejiyoon_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_sts_wisejiyoon_en.md
new file mode 100644
index 000000000000..efd4efd38e6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_sts_wisejiyoon_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_finetuned_sts_wisejiyoon BertForSequenceClassification from wisejiyoon
+author: John Snow Labs
+name: bert_base_finetuned_sts_wisejiyoon
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_sts_wisejiyoon` is a English model originally trained by wisejiyoon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_wisejiyoon_en_5.1.4_3.4_1698318991323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sts_wisejiyoon_en_5.1.4_3.4_1698318991323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_sts_wisejiyoon|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/wisejiyoon/bert-base-finetuned-sts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_toxic_comment_classification_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_toxic_comment_classification_en.md
new file mode 100644
index 000000000000..37c99959db33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_toxic_comment_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_finetuned_toxic_comment_classification BertForSequenceClassification from ZiruiXiong
+author: John Snow Labs
+name: bert_base_finetuned_toxic_comment_classification
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_toxic_comment_classification` is a English model originally trained by ZiruiXiong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_toxic_comment_classification_en_5.1.4_3.4_1698318912214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_toxic_comment_classification_en_5.1.4_3.4_1698318912214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_toxic_comment_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ZiruiXiong/bert-base-finetuned-toxic-comment-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_ynat_bash1130_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_ynat_bash1130_en.md
new file mode 100644
index 000000000000..7ba2f721fbf5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_finetuned_ynat_bash1130_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_finetuned_ynat_bash1130 BertForSequenceClassification from bash1130
+author: John Snow Labs
+name: bert_base_finetuned_ynat_bash1130
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_ynat_bash1130` is a English model originally trained by bash1130.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ynat_bash1130_en_5.1.4_3.4_1698360227120.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ynat_bash1130_en_5.1.4_3.4_1698360227120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_cased_vitd|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/ka05ar/bert-base-multilingual-cased-VITD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_crows_pairs_classifieronly_henryscheible_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_crows_pairs_classifieronly_henryscheible_en.md
new file mode 100644
index 000000000000..8aa138780a40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_crows_pairs_classifieronly_henryscheible_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_crows_pairs_classifieronly_henryscheible BertForSequenceClassification from henryscheible
+author: John Snow Labs
+name: bert_base_uncased_crows_pairs_classifieronly_henryscheible
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_crows_pairs_classifieronly_henryscheible` is a English model originally trained by henryscheible.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_crows_pairs_classifieronly_henryscheible_en_5.1.4_3.4_1698321086344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_crows_pairs_classifieronly_henryscheible_en_5.1.4_3.4_1698321086344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_crows_pairs_classifieronly_henryscheible|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/henryscheible/bert-base-uncased_crows_pairs_classifieronly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_crows_pairs_finetuned_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_crows_pairs_finetuned_en.md
new file mode 100644
index 000000000000..801c49989491
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_crows_pairs_finetuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_crows_pairs_finetuned BertForSequenceClassification from henryscheible
+author: John Snow Labs
+name: bert_base_uncased_crows_pairs_finetuned
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_crows_pairs_finetuned` is a English model originally trained by henryscheible.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_crows_pairs_finetuned_en_5.1.4_3.4_1698322773265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_crows_pairs_finetuned_en_5.1.4_3.4_1698322773265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_crows_pairs_finetuned|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/henryscheible/bert-base-uncased_crows_pairs_finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_dailydialog_turn_classifier_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_dailydialog_turn_classifier_en.md
new file mode 100644
index 000000000000..5ab7dae508cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_dailydialog_turn_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_dailydialog_turn_classifier BertForSequenceClassification from benjaminbeilharz
+author: John Snow Labs
+name: bert_base_uncased_dailydialog_turn_classifier
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_dailydialog_turn_classifier` is a English model originally trained by benjaminbeilharz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dailydialog_turn_classifier_en_5.1.4_3.4_1698340341576.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_dailydialog_turn_classifier_en_5.1.4_3.4_1698340341576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_dailydialog_turn_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/benjaminbeilharz/bert-base-uncased-dailydialog-turn-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_emotion_honours_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_emotion_honours_en.md
new file mode 100644
index 000000000000..ec2beeb86440
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_emotion_honours_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_emotion_honours BertForSequenceClassification from L-40408203
+author: John Snow Labs
+name: bert_base_uncased_emotion_honours
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_emotion_honours` is a English model originally trained by L-40408203.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_honours_en_5.1.4_3.4_1698359158419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_honours_en_5.1.4_3.4_1698359158419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_emotion_honours|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/L-40408203/bert-base-uncased-emotion-honours
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_empatheticdialogues_sentiment_classifier_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_empatheticdialogues_sentiment_classifier_en.md
new file mode 100644
index 000000000000..a1be6f143fd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_empatheticdialogues_sentiment_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_empatheticdialogues_sentiment_classifier BertForSequenceClassification from benjaminbeilharz
+author: John Snow Labs
+name: bert_base_uncased_empatheticdialogues_sentiment_classifier
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_empatheticdialogues_sentiment_classifier` is a English model originally trained by benjaminbeilharz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_empatheticdialogues_sentiment_classifier_en_5.1.4_3.4_1698340532992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_empatheticdialogues_sentiment_classifier_en_5.1.4_3.4_1698340532992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_empatheticdialogues_sentiment_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/benjaminbeilharz/bert-base-uncased-empatheticdialogues-sentiment-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_ag_news_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_ag_news_en.md
new file mode 100644
index 000000000000..60e872139c39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_ag_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_ag_news BertForSequenceClassification from 202k
+author: John Snow Labs
+name: bert_base_uncased_finetuned_ag_news
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_ag_news` is a English model originally trained by 202k.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_ag_news_en_5.1.4_3.4_1698358204993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_ag_news_en_5.1.4_3.4_1698358204993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_ag_news|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/202k/bert-base-uncased-finetuned-ag_news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_md_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_md_en.md
new file mode 100644
index 000000000000..35a171c34dc1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_md_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_md BertForSequenceClassification from caioamb
+author: John Snow Labs
+name: bert_base_uncased_finetuned_md
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_md` is a English model originally trained by caioamb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_md_en_5.1.4_3.4_1698358974527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_md_en_5.1.4_3.4_1698358974527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_md|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/caioamb/bert-base-uncased-finetuned-md
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_review_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_review_sentiment_analysis_en.md
new file mode 100644
index 000000000000..fde2866a7129
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_review_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_review_sentiment_analysis BertForSequenceClassification from DataMonke
+author: John Snow Labs
+name: bert_base_uncased_finetuned_review_sentiment_analysis
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_review_sentiment_analysis` is a English model originally trained by DataMonke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_review_sentiment_analysis_en_5.1.4_3.4_1698341604035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_review_sentiment_analysis_en_5.1.4_3.4_1698341604035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_review_sentiment_analysis|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/DataMonke/bert-base-uncased-finetuned-review-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_smsspam_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_smsspam_en.md
new file mode 100644
index 000000000000..00d0a69f60e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_smsspam_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_smsspam BertForSequenceClassification from shre-db
+author: John Snow Labs
+name: bert_base_uncased_finetuned_smsspam
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_smsspam` is a English model originally trained by shre-db.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_smsspam_en_5.1.4_3.4_1698340774498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_smsspam_en_5.1.4_3.4_1698340774498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_smsspam|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/shre-db/bert-base-uncased-finetuned-smsspam
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_wnli_jinghan_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_wnli_jinghan_en.md
new file mode 100644
index 000000000000..2ccb7fc46bd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_finetuned_wnli_jinghan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_wnli_jinghan BertForSequenceClassification from jinghan
+author: John Snow Labs
+name: bert_base_uncased_finetuned_wnli_jinghan
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_wnli_jinghan` is a English model originally trained by jinghan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_wnli_jinghan_en_5.1.4_3.4_1698324635067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_wnli_jinghan_en_5.1.4_3.4_1698324635067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_wnli_jinghan|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jinghan/bert-base-uncased-finetuned-wnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_hoax_classifier_def_v1_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_hoax_classifier_def_v1_en.md
new file mode 100644
index 000000000000..87f64247d3ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_hoax_classifier_def_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_hoax_classifier_def_v1 BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_base_uncased_hoax_classifier_def_v1
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_hoax_classifier_def_v1` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hoax_classifier_def_v1_en_5.1.4_3.4_1698343785308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hoax_classifier_def_v1_en_5.1.4_3.4_1698343785308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_hoax_classifier_def_v1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/research-dump/bert-base-uncased_hoax_classifier_def_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_hoax_classifier_tsonga_v1_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_hoax_classifier_tsonga_v1_en.md
new file mode 100644
index 000000000000..0a2eca289965
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_hoax_classifier_tsonga_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_hoax_classifier_tsonga_v1 BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_base_uncased_hoax_classifier_tsonga_v1
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_hoax_classifier_tsonga_v1` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hoax_classifier_tsonga_v1_en_5.1.4_3.4_1698349545741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_hoax_classifier_tsonga_v1_en_5.1.4_3.4_1698349545741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_hoax_classifier_tsonga_v1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/research-dump/bert-base-uncased_hoax_classifier_ts_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_mlm_scirepeval_fos_chemistry_textcls_rheology_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_mlm_scirepeval_fos_chemistry_textcls_rheology_en.md
new file mode 100644
index 000000000000..694e3b835693
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_mlm_scirepeval_fos_chemistry_textcls_rheology_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_mlm_scirepeval_fos_chemistry_textcls_rheology BertForSequenceClassification from jonas-luehrs
+author: John Snow Labs
+name: bert_base_uncased_mlm_scirepeval_fos_chemistry_textcls_rheology
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mlm_scirepeval_fos_chemistry_textcls_rheology` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mlm_scirepeval_fos_chemistry_textcls_rheology_en_5.1.4_3.4_1698312550574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mlm_scirepeval_fos_chemistry_textcls_rheology_en_5.1.4_3.4_1698312550574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mlm_scirepeval_fos_chemistry_textcls_rheology|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/bert-base-uncased-MLM-scirepeval_fos_chemistry-textCLS-RHEOLOGY
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_en.md
new file mode 100644
index 000000000000..96186a00b388
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology BertForSequenceClassification from jonas-luehrs
+author: John Snow Labs
+name: bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_en_5.1.4_3.4_1698340158748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology_en_5.1.4_3.4_1698340158748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mlp_scirepeval_chemistry_large_textcls_rheology|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/bert-base-uncased-MLP-scirepeval-chemistry-LARGE-textCLS-RHEOLOGY
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_mnli_v1_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_mnli_v1_en.md
new file mode 100644
index 000000000000..a6a73dcb8df4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_mnli_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_mnli_v1 BertForSequenceClassification from blackbird
+author: John Snow Labs
+name: bert_base_uncased_mnli_v1
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mnli_v1` is a English model originally trained by blackbird.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_v1_en_5.1.4_3.4_1698344775544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_v1_en_5.1.4_3.4_1698344775544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mnli_v1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/blackbird/bert-base-uncased-MNLI-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_next_turn_classifier_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_next_turn_classifier_en.md
new file mode 100644
index 000000000000..4b69ad9e829d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_next_turn_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_next_turn_classifier BertForSequenceClassification from benjaminbeilharz
+author: John Snow Labs
+name: bert_base_uncased_next_turn_classifier
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_next_turn_classifier` is a English model originally trained by benjaminbeilharz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_next_turn_classifier_en_5.1.4_3.4_1698340706122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_next_turn_classifier_en_5.1.4_3.4_1698340706122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_next_turn_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/benjaminbeilharz/bert-base-uncased-next-turn-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_sentiment_classifier_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_sentiment_classifier_en.md
new file mode 100644
index 000000000000..9723a553efb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_sentiment_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_sentiment_classifier BertForSequenceClassification from benjaminbeilharz
+author: John Snow Labs
+name: bert_base_uncased_sentiment_classifier
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sentiment_classifier` is a English model originally trained by benjaminbeilharz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sentiment_classifier_en_5.1.4_3.4_1698340893522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sentiment_classifier_en_5.1.4_3.4_1698340893522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sentiment_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/benjaminbeilharz/bert-base-uncased-sentiment-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_sst2_aviator_neural_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_sst2_aviator_neural_en.md
new file mode 100644
index 000000000000..a56b26cd49b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_sst2_aviator_neural_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_aviator_neural BertForSequenceClassification from aviator-neural
+author: John Snow Labs
+name: bert_base_uncased_sst2_aviator_neural
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst2_aviator_neural` is a English model originally trained by aviator-neural.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_aviator_neural_en_5.1.4_3.4_1698312280148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_aviator_neural_en_5.1.4_3.4_1698312280148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst2_aviator_neural|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/aviator-neural/bert-base-uncased-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_textcls_rheology_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_textcls_rheology_en.md
new file mode 100644
index 000000000000..350bdef1d5f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_textcls_rheology_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_textcls_rheology BertForSequenceClassification from jonas-luehrs
+author: John Snow Labs
+name: bert_base_uncased_textcls_rheology
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_textcls_rheology` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_textcls_rheology_en_5.1.4_3.4_1698340342229.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_textcls_rheology_en_5.1.4_3.4_1698340342229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_textcls_rheology|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/bert-base-uncased-textCLS-RHEOLOGY
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_winobias_classifieronly_henryscheible_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_winobias_classifieronly_henryscheible_en.md
new file mode 100644
index 000000000000..71fce56ddc26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_winobias_classifieronly_henryscheible_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_winobias_classifieronly_henryscheible BertForSequenceClassification from henryscheible
+author: John Snow Labs
+name: bert_base_uncased_winobias_classifieronly_henryscheible
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_winobias_classifieronly_henryscheible` is a English model originally trained by henryscheible.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_winobias_classifieronly_henryscheible_en_5.1.4_3.4_1698322077587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_winobias_classifieronly_henryscheible_en_5.1.4_3.4_1698322077587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_winobias_classifieronly_henryscheible|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/henryscheible/bert-base-uncased_winobias_classifieronly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_winobias_finetuned_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_winobias_finetuned_en.md
new file mode 100644
index 000000000000..a9603562db6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_base_uncased_winobias_finetuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_winobias_finetuned BertForSequenceClassification from henryscheible
+author: John Snow Labs
+name: bert_base_uncased_winobias_finetuned
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_winobias_finetuned` is a English model originally trained by henryscheible.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_winobias_finetuned_en_5.1.4_3.4_1698323667058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_winobias_finetuned_en_5.1.4_3.4_1698323667058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_winobias_finetuned|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/henryscheible/bert-base-uncased_winobias_finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_based_uncased_imdb_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_based_uncased_imdb_en.md
new file mode 100644
index 000000000000..001d2e710fe4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_based_uncased_imdb_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_based_uncased_imdb BertForSequenceClassification from car13mesquita
+author: John Snow Labs
+name: bert_based_uncased_imdb
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_based_uncased_imdb` is a English model originally trained by car13mesquita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_based_uncased_imdb_en_5.1.4_3.4_1698340942907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_based_uncased_imdb_en_5.1.4_3.4_1698340942907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_based_uncased_imdb|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/car13mesquita/bert-based-uncased-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_cased_exist_2_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_cased_exist_2_en.md
new file mode 100644
index 000000000000..11769ecaa0be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_cased_exist_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_cased_exist_2 BertForSequenceClassification from nouman-10
+author: John Snow Labs
+name: bert_cased_exist_2
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_cased_exist_2` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cased_exist_2_en_5.1.4_3.4_1698351900122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cased_exist_2_en_5.1.4_3.4_1698351900122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cased_exist_2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/nouman-10/bert-cased-exist-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_cased_exist_5_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_cased_exist_5_en.md
new file mode 100644
index 000000000000..8ca396d58556
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_cased_exist_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_cased_exist_5 BertForSequenceClassification from nouman-10
+author: John Snow Labs
+name: bert_cased_exist_5
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_cased_exist_5` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cased_exist_5_en_5.1.4_3.4_1698351142148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cased_exist_5_en_5.1.4_3.4_1698351142148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cased_exist_5|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/nouman-10/bert-cased-exist-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_chinese_ainews_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_chinese_ainews_en.md
new file mode 100644
index 000000000000..59629cc61419
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_chinese_ainews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_chinese_ainews BertForSequenceClassification from AllenMai
+author: John Snow Labs
+name: bert_chinese_ainews
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_chinese_ainews` is a English model originally trained by AllenMai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_chinese_ainews_en_5.1.4_3.4_1698312776524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_chinese_ainews_en_5.1.4_3.4_1698312776524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emo_classifier_vasanth|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Vasanth/bert_emo_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_fake_news_classification_fine_tuned_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_fake_news_classification_fine_tuned_en.md
new file mode 100644
index 000000000000..341880020cae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_fake_news_classification_fine_tuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_fake_news_classification_fine_tuned BertForSequenceClassification from h-pal
+author: John Snow Labs
+name: bert_fake_news_classification_fine_tuned
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_fake_news_classification_fine_tuned` is a English model originally trained by h-pal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_fake_news_classification_fine_tuned_en_5.1.4_3.4_1698363021397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_fake_news_classification_fine_tuned_en_5.1.4_3.4_1698363021397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_fake_news_classification_fine_tuned|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/h-pal/bert-fake-news-classification-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_fine_tuned_cola_fe2plus_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_fine_tuned_cola_fe2plus_en.md
new file mode 100644
index 000000000000..3f38cfdb3b63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_fine_tuned_cola_fe2plus_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_fine_tuned_cola_fe2plus BertForSequenceClassification from fe2plus
+author: John Snow Labs
+name: bert_fine_tuned_cola_fe2plus
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_fine_tuned_cola_fe2plus` is a English model originally trained by fe2plus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_fe2plus_en_5.1.4_3.4_1698325861556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_fe2plus_en_5.1.4_3.4_1698325861556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_fine_tuned_cola_fe2plus|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/fe2plus/bert-fine-tuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_fine_tuned_cola_lagyamfi_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_fine_tuned_cola_lagyamfi_en.md
new file mode 100644
index 000000000000..6c2d0647c529
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_fine_tuned_cola_lagyamfi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_fine_tuned_cola_lagyamfi BertForSequenceClassification from Lagyamfi
+author: John Snow Labs
+name: bert_fine_tuned_cola_lagyamfi
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_fine_tuned_cola_lagyamfi` is a English model originally trained by Lagyamfi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_lagyamfi_en_5.1.4_3.4_1698356548469.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_lagyamfi_en_5.1.4_3.4_1698356548469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_fine_tuned_cola_lagyamfi|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Lagyamfi/bert-fine-tuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_fine_tuned_cola_phamvanlinh143_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_fine_tuned_cola_phamvanlinh143_en.md
new file mode 100644
index 000000000000..52a3d4ca9e36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_fine_tuned_cola_phamvanlinh143_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_fine_tuned_cola_phamvanlinh143 BertForSequenceClassification from phamvanlinh143
+author: John Snow Labs
+name: bert_fine_tuned_cola_phamvanlinh143
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_fine_tuned_cola_phamvanlinh143` is a English model originally trained by phamvanlinh143.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_phamvanlinh143_en_5.1.4_3.4_1698317263916.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_phamvanlinh143_en_5.1.4_3.4_1698317263916.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_fine_tuned_cola_phamvanlinh143|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/phamvanlinh143/bert-fine-tuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_finetuned_cryptos_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_finetuned_cryptos_en.md
new file mode 100644
index 000000000000..44968b4aa468
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_finetuned_cryptos_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_finetuned_cryptos BertForSequenceClassification from flowfree
+author: John Snow Labs
+name: bert_finetuned_cryptos
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_cryptos` is a English model originally trained by flowfree.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_cryptos_en_5.1.4_3.4_1698346957105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_cryptos_en_5.1.4_3.4_1698346957105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_cryptos|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/flowfree/bert-finetuned-cryptos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_finetuning_test_baihaisheng_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_finetuning_test_baihaisheng_en.md
new file mode 100644
index 000000000000..199d7669e752
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_finetuning_test_baihaisheng_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_finetuning_test_baihaisheng BertForSequenceClassification from baihaisheng
+author: John Snow Labs
+name: bert_finetuning_test_baihaisheng
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuning_test_baihaisheng` is a English model originally trained by baihaisheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_baihaisheng_en_5.1.4_3.4_1698313285686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_baihaisheng_en_5.1.4_3.4_1698313285686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test_baihaisheng|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/baihaisheng/bert_finetuning_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_finetuning_test_bella_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_finetuning_test_bella_en.md
new file mode 100644
index 000000000000..8b29381f5a11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_finetuning_test_bella_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_finetuning_test_bella BertForSequenceClassification from bella
+author: John Snow Labs
+name: bert_finetuning_test_bella
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuning_test_bella` is a English model originally trained by bella.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_bella_en_5.1.4_3.4_1698340139648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_bella_en_5.1.4_3.4_1698340139648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test_bella|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/bella/bert_finetuning_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_harmful_romanian_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_harmful_romanian_en.md
new file mode 100644
index 000000000000..d31af2071373
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_harmful_romanian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_harmful_romanian BertForSequenceClassification from LibrAI
+author: John Snow Labs
+name: bert_harmful_romanian
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_harmful_romanian` is a English model originally trained by LibrAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_harmful_romanian_en_5.1.4_3.4_1698357514500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_harmful_romanian_en_5.1.4_3.4_1698357514500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_harmful_romanian|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/LibrAI/bert-harmful-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_ielts_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_ielts_en.md
new file mode 100644
index 000000000000..25b53198f728
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_ielts_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_ielts BertForSequenceClassification from karanzrk
+author: John Snow Labs
+name: bert_ielts
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ielts` is a English model originally trained by karanzrk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ielts_en_5.1.4_3.4_1698329243603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ielts_en_5.1.4_3.4_1698329243603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ielts|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/karanzrk/bert-IELTS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_large_gpt2detector_topp92_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_large_gpt2detector_topp92_en.md
new file mode 100644
index 000000000000..f6501c22f32c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_large_gpt2detector_topp92_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_gpt2detector_topp92 BertForSequenceClassification from baykenney
+author: John Snow Labs
+name: bert_large_gpt2detector_topp92
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_gpt2detector_topp92` is a English model originally trained by baykenney.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_gpt2detector_topp92_en_5.1.4_3.4_1698339554145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_gpt2detector_topp92_en_5.1.4_3.4_1698339554145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_gpt2detector_topp92|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/baykenney/bert-large-gpt2detector-topp92
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_large_gpt2detector_topp96_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_large_gpt2detector_topp96_en.md
new file mode 100644
index 000000000000..c236dee49a18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_large_gpt2detector_topp96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_gpt2detector_topp96 BertForSequenceClassification from baykenney
+author: John Snow Labs
+name: bert_large_gpt2detector_topp96
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_gpt2detector_topp96` is a English model originally trained by baykenney.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_gpt2detector_topp96_en_5.1.4_3.4_1698339921681.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_gpt2detector_topp96_en_5.1.4_3.4_1698339921681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_gpt2detector_topp96|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/baykenney/bert-large-gpt2detector-topp96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_8_1e_10000_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_8_1e_10000_en.md
new file mode 100644
index 000000000000..1c2becddf1a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_8_1e_10000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_fine_tune_winogrande_8_1e_10000 BertForSequenceClassification from Stupendousabhi
+author: John Snow Labs
+name: bert_large_uncased_fine_tune_winogrande_8_1e_10000
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_fine_tune_winogrande_8_1e_10000` is a English model originally trained by Stupendousabhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_fine_tune_winogrande_8_1e_10000_en_5.1.4_3.4_1698312050378.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_fine_tune_winogrande_8_1e_10000_en_5.1.4_3.4_1698312050378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_fine_tune_winogrande_8_1e_10000|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Stupendousabhi/bert-large-uncased-fine-tune-winogrande-8-1e-10000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_8_1e_11262_bs8_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_8_1e_11262_bs8_en.md
new file mode 100644
index 000000000000..04d97b3d44fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_8_1e_11262_bs8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_fine_tune_winogrande_8_1e_11262_bs8 BertForSequenceClassification from Stupendousabhi
+author: John Snow Labs
+name: bert_large_uncased_fine_tune_winogrande_8_1e_11262_bs8
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_fine_tune_winogrande_8_1e_11262_bs8` is a English model originally trained by Stupendousabhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_fine_tune_winogrande_8_1e_11262_bs8_en_5.1.4_3.4_1698313456029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_fine_tune_winogrande_8_1e_11262_bs8_en_5.1.4_3.4_1698313456029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_fine_tune_winogrande_8_1e_11262_bs8|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Stupendousabhi/bert-large-uncased-fine-tune-winogrande-8-1e-11262-bs8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_8_1e_20000_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_8_1e_20000_en.md
new file mode 100644
index 000000000000..7de1de79cf77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_8_1e_20000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_fine_tune_winogrande_8_1e_20000 BertForSequenceClassification from Stupendousabhi
+author: John Snow Labs
+name: bert_large_uncased_fine_tune_winogrande_8_1e_20000
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_fine_tune_winogrande_8_1e_20000` is a English model originally trained by Stupendousabhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_fine_tune_winogrande_8_1e_20000_en_5.1.4_3.4_1698313105749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_fine_tune_winogrande_8_1e_20000_en_5.1.4_3.4_1698313105749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_fine_tune_winogrande_8_1e_20000|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Stupendousabhi/bert-large-uncased-fine-tune-winogrande-8-1e-20000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_ep_11262_bs16_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_ep_11262_bs16_en.md
new file mode 100644
index 000000000000..eff07769f90e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_ep_11262_bs16_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_fine_tune_winogrande_ep_11262_bs16 BertForSequenceClassification from Stupendousabhi
+author: John Snow Labs
+name: bert_large_uncased_fine_tune_winogrande_ep_11262_bs16
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_fine_tune_winogrande_ep_11262_bs16` is a English model originally trained by Stupendousabhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_fine_tune_winogrande_ep_11262_bs16_en_5.1.4_3.4_1698316640612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_fine_tune_winogrande_ep_11262_bs16_en_5.1.4_3.4_1698316640612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_fine_tune_winogrande_ep_11262_bs16|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Stupendousabhi/bert-large-uncased-fine-tune-winogrande-ep-11262_bs16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_ep_8_11262_bs16_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_ep_8_11262_bs16_en.md
new file mode 100644
index 000000000000..f3c4875681f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_fine_tune_winogrande_ep_8_11262_bs16_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_fine_tune_winogrande_ep_8_11262_bs16 BertForSequenceClassification from Stupendousabhi
+author: John Snow Labs
+name: bert_large_uncased_fine_tune_winogrande_ep_8_11262_bs16
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_fine_tune_winogrande_ep_8_11262_bs16` is a English model originally trained by Stupendousabhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_fine_tune_winogrande_ep_8_11262_bs16_en_5.1.4_3.4_1698315174118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_fine_tune_winogrande_ep_8_11262_bs16_en_5.1.4_3.4_1698315174118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_fine_tune_winogrande_ep_8_11262_bs16|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Stupendousabhi/bert-large-uncased-fine-tune-winogrande-ep-8-11262-bs16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_hoax_classifier_def_v1_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_hoax_classifier_def_v1_en.md
new file mode 100644
index 000000000000..ea6b47ea54f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_hoax_classifier_def_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_hoax_classifier_def_v1 BertForSequenceClassification from research-dump
+author: John Snow Labs
+name: bert_large_uncased_hoax_classifier_def_v1
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_hoax_classifier_def_v1` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_hoax_classifier_def_v1_en_5.1.4_3.4_1698346233225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_hoax_classifier_def_v1_en_5.1.4_3.4_1698346233225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_hoax_classifier_def_v1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/research-dump/bert-large-uncased_hoax_classifier_def_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_sst2_assemblyai_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_sst2_assemblyai_en.md
new file mode 100644
index 000000000000..41696eb92f44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_large_uncased_sst2_assemblyai_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_sst2_assemblyai BertForSequenceClassification from assemblyai
+author: John Snow Labs
+name: bert_large_uncased_sst2_assemblyai
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_sst2_assemblyai` is a English model originally trained by assemblyai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_sst2_assemblyai_en_5.1.4_3.4_1698312050580.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_sst2_assemblyai_en_5.1.4_3.4_1698312050580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_sst2_assemblyai|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/assemblyai/bert-large-uncased-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_playground_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_playground_en.md
new file mode 100644
index 000000000000..97dbd3a7c719
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_playground_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_playground BertForSequenceClassification from antoineross
+author: John Snow Labs
+name: bert_playground
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_playground` is a English model originally trained by antoineross.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_playground_en_5.1.4_3.4_1698350365614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_playground_en_5.1.4_3.4_1698350365614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_playground|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/antoineross/bert-playground
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_product_classifier_final_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_product_classifier_final_en.md
new file mode 100644
index 000000000000..75e9e11ad339
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_product_classifier_final_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_product_classifier_final BertForSequenceClassification from sianbru
+author: John Snow Labs
+name: bert_product_classifier_final
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_product_classifier_final` is a English model originally trained by sianbru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_product_classifier_final_en_5.1.4_3.4_1698355192966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_product_classifier_final_en_5.1.4_3.4_1698355192966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_product_classifier_final|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/sianbru/bert_product_classifier_final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_product_classifier_name_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_product_classifier_name_en.md
new file mode 100644
index 000000000000..f777b74fd3c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_product_classifier_name_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_product_classifier_name BertForSequenceClassification from sianbru
+author: John Snow Labs
+name: bert_product_classifier_name
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_product_classifier_name` is a English model originally trained by sianbru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_product_classifier_name_en_5.1.4_3.4_1698352910293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_product_classifier_name_en_5.1.4_3.4_1698352910293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_product_classifier_name|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/sianbru/bert_product_classifier_name
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_semeval_long2_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_semeval_long2_en.md
new file mode 100644
index 000000000000..178f301efc0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_semeval_long2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_semeval_long2 BertForSequenceClassification from Babak-Behkamkia
+author: John Snow Labs
+name: bert_semeval_long2
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_semeval_long2` is a English model originally trained by Babak-Behkamkia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_semeval_long2_en_5.1.4_3.4_1698328170592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_semeval_long2_en_5.1.4_3.4_1698328170592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_semeval_long2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Babak-Behkamkia/bert_SEMEVAL_long2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_semeval_long_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_semeval_long_en.md
new file mode 100644
index 000000000000..ec92d416bbc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_semeval_long_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_semeval_long BertForSequenceClassification from Babak-Behkamkia
+author: John Snow Labs
+name: bert_semeval_long
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_semeval_long` is a English model originally trained by Babak-Behkamkia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_semeval_long_en_5.1.4_3.4_1698327198252.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_semeval_long_en_5.1.4_3.4_1698327198252.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_semeval_long|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Babak-Behkamkia/bert_SEMEVAL_long
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_sentiment_analysis_sst_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_sentiment_analysis_sst_en.md
new file mode 100644
index 000000000000..60e305f57cc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_sentiment_analysis_sst_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_sentiment_analysis_sst BertForSequenceClassification from barissayil
+author: John Snow Labs
+name: bert_sentiment_analysis_sst
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sentiment_analysis_sst` is a English model originally trained by barissayil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sentiment_analysis_sst_en_5.1.4_3.4_1698313473570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sentiment_analysis_sst_en_5.1.4_3.4_1698313473570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sequence_classifier_russian_base_cased_sentiment_rusentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/blanchefort/rubert-base-cased-sentiment-rusentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_test_0803_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_test_0803_en.md
new file mode 100644
index 000000000000..b907d79ed4ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_test_0803_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_test_0803 BertForSequenceClassification from tingzhou
+author: John Snow Labs
+name: bert_test_0803
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_test_0803` is a English model originally trained by tingzhou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_test_0803_en_5.1.4_3.4_1698357009915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_test_0803_en_5.1.4_3.4_1698357009915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_test_0803|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/tingzhou/bert_test_0803
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_tiny_fake_news_detection_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_tiny_fake_news_detection_en.md
new file mode 100644
index 000000000000..560025c3c347
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_tiny_fake_news_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_tiny_fake_news_detection BertForSequenceClassification from ErfanMoosaviMonazzah
+author: John Snow Labs
+name: bert_tiny_fake_news_detection
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_fake_news_detection` is a English model originally trained by ErfanMoosaviMonazzah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_fake_news_detection_en_5.1.4_3.4_1698348568332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_fake_news_detection_en_5.1.4_3.4_1698348568332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_fake_news_detection|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/ErfanMoosaviMonazzah/bert-tiny-fake-news-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_tiny_finetuned_legal_definitions_downstream_alt_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_tiny_finetuned_legal_definitions_downstream_alt_en.md
new file mode 100644
index 000000000000..27202426745a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_tiny_finetuned_legal_definitions_downstream_alt_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_tiny_finetuned_legal_definitions_downstream_alt BertForSequenceClassification from muhtasham
+author: John Snow Labs
+name: bert_tiny_finetuned_legal_definitions_downstream_alt
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_finetuned_legal_definitions_downstream_alt` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_legal_definitions_downstream_alt_en_5.1.4_3.4_1698361780403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_legal_definitions_downstream_alt_en_5.1.4_3.4_1698361780403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_finetuned_legal_definitions_downstream_alt|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-tiny-finetuned-legal-definitions-downstream-alt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_tiny_finetuned_legal_definitions_longer_downstream_alt_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_tiny_finetuned_legal_definitions_longer_downstream_alt_en.md
new file mode 100644
index 000000000000..0a3cab42e534
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_tiny_finetuned_legal_definitions_longer_downstream_alt_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_tiny_finetuned_legal_definitions_longer_downstream_alt BertForSequenceClassification from muhtasham
+author: John Snow Labs
+name: bert_tiny_finetuned_legal_definitions_longer_downstream_alt
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_finetuned_legal_definitions_longer_downstream_alt` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_legal_definitions_longer_downstream_alt_en_5.1.4_3.4_1698362214023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_legal_definitions_longer_downstream_alt_en_5.1.4_3.4_1698362214023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_finetuned_legal_definitions_longer_downstream_alt|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-tiny-finetuned-legal-definitions-longer-downstream-alt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_toxic_comment_classification_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_toxic_comment_classification_en.md
new file mode 100644
index 000000000000..66d367e12b42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_toxic_comment_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_toxic_comment_classification BertForSequenceClassification from JungleLee
+author: John Snow Labs
+name: bert_toxic_comment_classification
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_toxic_comment_classification` is a English model originally trained by JungleLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_toxic_comment_classification_en_5.1.4_3.4_1698317556311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_toxic_comment_classification_en_5.1.4_3.4_1698317556311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_toxic_comment_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/JungleLee/bert-toxic-comment-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_uncased_fine_tuned_zero_shot_baseline_mnli_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_uncased_fine_tuned_zero_shot_baseline_mnli_en.md
new file mode 100644
index 000000000000..2958dea6a163
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_uncased_fine_tuned_zero_shot_baseline_mnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_uncased_fine_tuned_zero_shot_baseline_mnli BertForSequenceClassification from jcbao77
+author: John Snow Labs
+name: bert_uncased_fine_tuned_zero_shot_baseline_mnli
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_uncased_fine_tuned_zero_shot_baseline_mnli` is a English model originally trained by jcbao77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_fine_tuned_zero_shot_baseline_mnli_en_5.1.4_3.4_1698330092651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_fine_tuned_zero_shot_baseline_mnli_en_5.1.4_3.4_1698330092651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_fine_tuned_zero_shot_baseline_mnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jcbao77/bert-uncased-fine-tuned-zero-shot-baseline-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_uncased_multi_task_dynamic_weights_mnli_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_uncased_multi_task_dynamic_weights_mnli_en.md
new file mode 100644
index 000000000000..6f75246a036e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_uncased_multi_task_dynamic_weights_mnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_uncased_multi_task_dynamic_weights_mnli BertForSequenceClassification from jcbao77
+author: John Snow Labs
+name: bert_uncased_multi_task_dynamic_weights_mnli
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_uncased_multi_task_dynamic_weights_mnli` is a English model originally trained by jcbao77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_multi_task_dynamic_weights_mnli_en_5.1.4_3.4_1698353435459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_multi_task_dynamic_weights_mnli_en_5.1.4_3.4_1698353435459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_multi_task_dynamic_weights_mnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jcbao77/bert-uncased-multi-task-dynamic-weights-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_uncased_multi_task_fixed_weights_mnli_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_uncased_multi_task_fixed_weights_mnli_en.md
new file mode 100644
index 000000000000..c091728a2b1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_uncased_multi_task_fixed_weights_mnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_uncased_multi_task_fixed_weights_mnli BertForSequenceClassification from jcbao77
+author: John Snow Labs
+name: bert_uncased_multi_task_fixed_weights_mnli
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_uncased_multi_task_fixed_weights_mnli` is a English model originally trained by jcbao77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_multi_task_fixed_weights_mnli_en_5.1.4_3.4_1698352759719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_multi_task_fixed_weights_mnli_en_5.1.4_3.4_1698352759719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_multi_task_fixed_weights_mnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jcbao77/bert-uncased-multi-task-fixed-weights-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_vast_long2_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_vast_long2_en.md
new file mode 100644
index 000000000000..c7dcc6284f31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_vast_long2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_vast_long2 BertForSequenceClassification from Babak-Behkamkia
+author: John Snow Labs
+name: bert_vast_long2
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_vast_long2` is a English model originally trained by Babak-Behkamkia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_vast_long2_en_5.1.4_3.4_1698339488784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_vast_long2_en_5.1.4_3.4_1698339488784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_vast_long2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Babak-Behkamkia/bert_VAST_long2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bert_vast_long_en.md b/docs/_posts/ahmedlone127/2023-10-26-bert_vast_long_en.md
new file mode 100644
index 000000000000..defcdba062a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bert_vast_long_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_vast_long BertForSequenceClassification from Babak-Behkamkia
+author: John Snow Labs
+name: bert_vast_long
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_vast_long` is a English model originally trained by Babak-Behkamkia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_vast_long_en_5.1.4_3.4_1698330383883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_vast_long_en_5.1.4_3.4_1698330383883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_vast_long|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Babak-Behkamkia/bert_VAST_long
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-bertimbau_finetune_breton_news_en.md b/docs/_posts/ahmedlone127/2023-10-26-bertimbau_finetune_breton_news_en.md
new file mode 100644
index 000000000000..b14d1928f731
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-bertimbau_finetune_breton_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bertimbau_finetune_breton_news BertForSequenceClassification from Caesarcc
+author: John Snow Labs
+name: bertimbau_finetune_breton_news
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertimbau_finetune_breton_news` is a English model originally trained by Caesarcc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertimbau_finetune_breton_news_en_5.1.4_3.4_1698352958930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertimbau_finetune_breton_news_en_5.1.4_3.4_1698352958930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertimbau_finetune_breton_news|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/Caesarcc/bertimbau-finetune-br-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-biobert_2_en.md b/docs/_posts/ahmedlone127/2023-10-26-biobert_2_en.md
new file mode 100644
index 000000000000..8968f2a9ddc0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-biobert_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English biobert_2 BertForSequenceClassification from hagara
+author: John Snow Labs
+name: biobert_2
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_2` is a English model originally trained by hagara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_2_en_5.1.4_3.4_1698320193216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_2_en_5.1.4_3.4_1698320193216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.3 MB|
+
+## References
+
+https://huggingface.co/hagara/biobert-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-biobert_base_cased_v1_1_finetuned_pubmedqa_en.md b/docs/_posts/ahmedlone127/2023-10-26-biobert_base_cased_v1_1_finetuned_pubmedqa_en.md
new file mode 100644
index 000000000000..3a919d662161
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-biobert_base_cased_v1_1_finetuned_pubmedqa_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English biobert_base_cased_v1_1_finetuned_pubmedqa BertForSequenceClassification from blizrys
+author: John Snow Labs
+name: biobert_base_cased_v1_1_finetuned_pubmedqa
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_base_cased_v1_1_finetuned_pubmedqa` is a English model originally trained by blizrys.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_base_cased_v1_1_finetuned_pubmedqa_en_5.1.4_3.4_1698349612505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_base_cased_v1_1_finetuned_pubmedqa_en_5.1.4_3.4_1698349612505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_base_cased_v1_1_finetuned_pubmedqa|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.3 MB|
+
+## References
+
+https://huggingface.co/blizrys/biobert-base-cased-v1.1-finetuned-pubmedqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-biobert_v1_1_finetuned_pubmedqa_en.md b/docs/_posts/ahmedlone127/2023-10-26-biobert_v1_1_finetuned_pubmedqa_en.md
new file mode 100644
index 000000000000..4d19126eab0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-biobert_v1_1_finetuned_pubmedqa_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English biobert_v1_1_finetuned_pubmedqa BertForSequenceClassification from blizrys
+author: John Snow Labs
+name: biobert_v1_1_finetuned_pubmedqa
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_v1_1_finetuned_pubmedqa` is a English model originally trained by blizrys.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_v1_1_finetuned_pubmedqa_en_5.1.4_3.4_1698350382228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_v1_1_finetuned_pubmedqa_en_5.1.4_3.4_1698350382228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_v1_1_finetuned_pubmedqa|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.3 MB|
+
+## References
+
+https://huggingface.co/blizrys/biobert-v1.1-finetuned-pubmedqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-burmese_legal_bert_small_en.md b/docs/_posts/ahmedlone127/2023-10-26-burmese_legal_bert_small_en.md
new file mode 100644
index 000000000000..78d07ccc94ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-burmese_legal_bert_small_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_legal_bert_small BertForSequenceClassification from wiorz
+author: John Snow Labs
+name: burmese_legal_bert_small
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_legal_bert_small` is a English model originally trained by wiorz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_legal_bert_small_en_5.1.4_3.4_1698318113342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_legal_bert_small_en_5.1.4_3.4_1698318113342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_legal_bert_small|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|131.6 MB|
+
+## References
+
+https://huggingface.co/wiorz/my_legal_bert_small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-chinese_roberta_wwm_ext_finetuned2_en.md b/docs/_posts/ahmedlone127/2023-10-26-chinese_roberta_wwm_ext_finetuned2_en.md
new file mode 100644
index 000000000000..c12a65ca90c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-chinese_roberta_wwm_ext_finetuned2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chinese_roberta_wwm_ext_finetuned2 BertForSequenceClassification from zhiguoxu
+author: John Snow Labs
+name: chinese_roberta_wwm_ext_finetuned2
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_roberta_wwm_ext_finetuned2` is a English model originally trained by zhiguoxu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_finetuned2_en_5.1.4_3.4_1698356247100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_finetuned2_en_5.1.4_3.4_1698356247100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_roberta_wwm_ext_finetuned2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/zhiguoxu/chinese-roberta-wwm-ext-finetuned2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_en.md b/docs/_posts/ahmedlone127/2023-10-26-covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_en.md
new file mode 100644
index 000000000000..0b1ed006f003
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_twitter_bert_v2_norwegian_description_stance_loss_hyp BertForSequenceClassification from sumba
+author: John Snow Labs
+name: covid_twitter_bert_v2_norwegian_description_stance_loss_hyp
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_twitter_bert_v2_norwegian_description_stance_loss_hyp` is a English model originally trained by sumba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_en_5.1.4_3.4_1698350210246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_en_5.1.4_3.4_1698350210246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_twitter_bert_v2_norwegian_description_stance_loss_hyp|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/sumba/covid-twitter-bert-v2-no_description-stance-loss-hyp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess_en.md b/docs/_posts/ahmedlone127/2023-10-26-covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess_en.md
new file mode 100644
index 000000000000..44d4e7c4749f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess BertForSequenceClassification from sumba
+author: John Snow Labs
+name: covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess` is a English model originally trained by sumba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess_en_5.1.4_3.4_1698355385022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess_en_5.1.4_3.4_1698355385022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/sumba/covid-twitter-bert-v2-no_description-stance-loss-hyp-unprocess
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-distilbert_base_uncased_phuongthanhnguyen_en.md b/docs/_posts/ahmedlone127/2023-10-26-distilbert_base_uncased_phuongthanhnguyen_en.md
new file mode 100644
index 000000000000..d2a2bcf6ad71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-distilbert_base_uncased_phuongthanhnguyen_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_phuongthanhnguyen BertForSequenceClassification from phuongthanhnguyen
+author: John Snow Labs
+name: distilbert_base_uncased_phuongthanhnguyen
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_phuongthanhnguyen` is a English model originally trained by phuongthanhnguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_phuongthanhnguyen_en_5.1.4_3.4_1698351142335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_phuongthanhnguyen_en_5.1.4_3.4_1698351142335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_phuongthanhnguyen|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/phuongthanhnguyen/distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-dk_emotion_bert_in_class_sadiksha_en.md b/docs/_posts/ahmedlone127/2023-10-26-dk_emotion_bert_in_class_sadiksha_en.md
new file mode 100644
index 000000000000..e7d095d51fa5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-dk_emotion_bert_in_class_sadiksha_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dk_emotion_bert_in_class_sadiksha BertForSequenceClassification from Sadiksha
+author: John Snow Labs
+name: dk_emotion_bert_in_class_sadiksha
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dk_emotion_bert_in_class_sadiksha` is a English model originally trained by Sadiksha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dk_emotion_bert_in_class_sadiksha_en_5.1.4_3.4_1698324526539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dk_emotion_bert_in_class_sadiksha_en_5.1.4_3.4_1698324526539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dk_emotion_bert_in_class_sadiksha|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/Sadiksha/dk_emotion_bert_in_class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-equality_bert_en.md b/docs/_posts/ahmedlone127/2023-10-26-equality_bert_en.md
new file mode 100644
index 000000000000..36dc769fce88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-equality_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English equality_bert BertForSequenceClassification from tiya1012
+author: John Snow Labs
+name: equality_bert
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`equality_bert` is a English model originally trained by tiya1012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/equality_bert_en_5.1.4_3.4_1698354089127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/equality_bert_en_5.1.4_3.4_1698354089127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|equality_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/tiya1012/equality_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-esg_classification_bert_all_data_v2_1808_en.md b/docs/_posts/ahmedlone127/2023-10-26-esg_classification_bert_all_data_v2_1808_en.md
new file mode 100644
index 000000000000..9b9fdce2cb6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-esg_classification_bert_all_data_v2_1808_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English esg_classification_bert_all_data_v2_1808 BertForSequenceClassification from dsmsb
+author: John Snow Labs
+name: esg_classification_bert_all_data_v2_1808
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`esg_classification_bert_all_data_v2_1808` is a English model originally trained by dsmsb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esg_classification_bert_all_data_v2_1808_en_5.1.4_3.4_1698322877577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esg_classification_bert_all_data_v2_1808_en_5.1.4_3.4_1698322877577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esg_classification_bert_all_data_v2_1808|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/dsmsb/esg-classification_bert_all_data_v2_1808
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-esg_classification_bert_v1_1808_en.md b/docs/_posts/ahmedlone127/2023-10-26-esg_classification_bert_v1_1808_en.md
new file mode 100644
index 000000000000..c6f3ba459b8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-esg_classification_bert_v1_1808_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English esg_classification_bert_v1_1808 BertForSequenceClassification from dsmsb
+author: John Snow Labs
+name: esg_classification_bert_v1_1808
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`esg_classification_bert_v1_1808` is a English model originally trained by dsmsb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esg_classification_bert_v1_1808_en_5.1.4_3.4_1698322077739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esg_classification_bert_v1_1808_en_5.1.4_3.4_1698322077739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esg_classification_distilbert_bert_base_multilingual_cased_v4|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/dsmsb/esg-classification_distilbert-bert-base-multilingual-cased_v4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-fake_news_small_bert_en.md b/docs/_posts/ahmedlone127/2023-10-26-fake_news_small_bert_en.md
new file mode 100644
index 000000000000..fcf10b652b16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-fake_news_small_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fake_news_small_bert BertForSequenceClassification from safikhan
+author: John Snow Labs
+name: fake_news_small_bert
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_small_bert` is a English model originally trained by safikhan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_small_bert_en_5.1.4_3.4_1698359545754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_small_bert_en_5.1.4_3.4_1698359545754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_small_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|65.8 MB|
+
+## References
+
+https://huggingface.co/safikhan/fake-news-small-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-finbert2_en.md b/docs/_posts/ahmedlone127/2023-10-26-finbert2_en.md
new file mode 100644
index 000000000000..174faa1753e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-finbert2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finbert2 BertForSequenceClassification from Narsil
+author: John Snow Labs
+name: finbert2
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finbert2` is a English model originally trained by Narsil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert2_en_5.1.4_3.4_1698346084668.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert2_en_5.1.4_3.4_1698346084668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Narsil/finbert2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_combined_fine_grained_en.md b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_combined_fine_grained_en.md
new file mode 100644
index 000000000000..85d2194f1630
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_combined_fine_grained_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tune_bert_combined_fine_grained BertForSequenceClassification from nouman-10
+author: John Snow Labs
+name: fine_tune_bert_combined_fine_grained
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_bert_combined_fine_grained` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_bert_combined_fine_grained_en_5.1.4_3.4_1698350313101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_bert_combined_fine_grained_en_5.1.4_3.4_1698350313101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_bert_combined_fine_grained|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/nouman-10/fine-tune-bert-combined-fine-grained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_combined_mlm_en.md b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_combined_mlm_en.md
new file mode 100644
index 000000000000..cd514ca28605
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_combined_mlm_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tune_bert_combined_mlm BertForSequenceClassification from nouman-10
+author: John Snow Labs
+name: fine_tune_bert_combined_mlm
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_bert_combined_mlm` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_bert_combined_mlm_en_5.1.4_3.4_1698349543206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_bert_combined_mlm_en_5.1.4_3.4_1698349543206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_bert_combined_mlm|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/nouman-10/fine-tune-bert-combined-mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_exist_fine_grained_en.md b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_exist_fine_grained_en.md
new file mode 100644
index 000000000000..9b06dc6435c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_exist_fine_grained_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tune_bert_exist_fine_grained BertForSequenceClassification from nouman-10
+author: John Snow Labs
+name: fine_tune_bert_exist_fine_grained
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_bert_exist_fine_grained` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_bert_exist_fine_grained_en_5.1.4_3.4_1698348044997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_bert_exist_fine_grained_en_5.1.4_3.4_1698348044997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_bert_exist_fine_grained|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/nouman-10/fine-tune-bert-exist-fine-grained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_exist_mlm_en.md b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_exist_mlm_en.md
new file mode 100644
index 000000000000..c3a7d0f743de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_exist_mlm_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tune_bert_exist_mlm BertForSequenceClassification from nouman-10
+author: John Snow Labs
+name: fine_tune_bert_exist_mlm
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_bert_exist_mlm` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_bert_exist_mlm_en_5.1.4_3.4_1698345178117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_bert_exist_mlm_en_5.1.4_3.4_1698345178117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_bert_exist_mlm|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/nouman-10/fine-tune-bert-exist-mlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_semitic_languages_exist_en.md b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_semitic_languages_exist_en.md
new file mode 100644
index 000000000000..87c864d70868
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_bert_semitic_languages_exist_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tune_bert_semitic_languages_exist BertForSequenceClassification from nouman-10
+author: John Snow Labs
+name: fine_tune_bert_semitic_languages_exist
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_bert_semitic_languages_exist` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_bert_semitic_languages_exist_en_5.1.4_3.4_1698339504027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_bert_semitic_languages_exist_en_5.1.4_3.4_1698339504027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_bert_semitic_languages_exist|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/nouman-10/fine-tune-bert-sem-exist
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-fine_tune_mbert_semitic_languages_exist_en.md b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_mbert_semitic_languages_exist_en.md
new file mode 100644
index 000000000000..ac880c22f4bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-fine_tune_mbert_semitic_languages_exist_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tune_mbert_semitic_languages_exist BertForSequenceClassification from nouman-10
+author: John Snow Labs
+name: fine_tune_mbert_semitic_languages_exist
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_mbert_semitic_languages_exist` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_mbert_semitic_languages_exist_en_5.1.4_3.4_1698339826651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_mbert_semitic_languages_exist_en_5.1.4_3.4_1698339826651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_mbert_semitic_languages_exist|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/nouman-10/fine-tune-mbert-sem-exist
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-finetuning_bert_case_intent_class_en.md b/docs/_posts/ahmedlone127/2023-10-26-finetuning_bert_case_intent_class_en.md
new file mode 100644
index 000000000000..3f84c7b6181c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-finetuning_bert_case_intent_class_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_bert_case_intent_class BertForSequenceClassification from Geo
+author: John Snow Labs
+name: finetuning_bert_case_intent_class
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_bert_case_intent_class` is a English model originally trained by Geo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_bert_case_intent_class_en_5.1.4_3.4_1698347408295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_bert_case_intent_class_en_5.1.4_3.4_1698347408295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_bert_case_intent_class|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/Geo/finetuning-bert-case-intent-class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-finetuning_esg_sentiment_model_bert_nepal_bhasa_data_en.md b/docs/_posts/ahmedlone127/2023-10-26-finetuning_esg_sentiment_model_bert_nepal_bhasa_data_en.md
new file mode 100644
index 000000000000..87bb2d0940d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-finetuning_esg_sentiment_model_bert_nepal_bhasa_data_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_esg_sentiment_model_bert_nepal_bhasa_data BertForSequenceClassification from Bennet1996
+author: John Snow Labs
+name: finetuning_esg_sentiment_model_bert_nepal_bhasa_data
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_esg_sentiment_model_bert_nepal_bhasa_data` is a English model originally trained by Bennet1996.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_esg_sentiment_model_bert_nepal_bhasa_data_en_5.1.4_3.4_1698341111207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_esg_sentiment_model_bert_nepal_bhasa_data_en_5.1.4_3.4_1698341111207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_esg_sentiment_model_bert_nepal_bhasa_data|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Bennet1996/finetuning-ESG-sentiment-model-bert_new_data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-gbert_multi_class_german_hate_en.md b/docs/_posts/ahmedlone127/2023-10-26-gbert_multi_class_german_hate_en.md
new file mode 100644
index 000000000000..41027ed24a45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-gbert_multi_class_german_hate_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English gbert_multi_class_german_hate BertForSequenceClassification from chrisrtt
+author: John Snow Labs
+name: gbert_multi_class_german_hate
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gbert_multi_class_german_hate` is a English model originally trained by chrisrtt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gbert_multi_class_german_hate_en_5.1.4_3.4_1698358312208.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gbert_multi_class_german_hate_en_5.1.4_3.4_1698358312208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gbert_multi_class_german_hate|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/chrisrtt/gbert-multi-class-german-hate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-hate_speech_bert_unggi_en.md b/docs/_posts/ahmedlone127/2023-10-26-hate_speech_bert_unggi_en.md
new file mode 100644
index 000000000000..a2daa5e1c760
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-hate_speech_bert_unggi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_speech_bert_unggi BertForSequenceClassification from Unggi
+author: John Snow Labs
+name: hate_speech_bert_unggi
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_speech_bert_unggi` is a English model originally trained by Unggi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_speech_bert_unggi_en_5.1.4_3.4_1698329243315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_speech_bert_unggi_en_5.1.4_3.4_1698329243315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_speech_bert_unggi|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|345.1 MB|
+
+## References
+
+https://huggingface.co/Unggi/hate_speech_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-indobert_base_uncased_finetuned_indonlu_smsa_id.md b/docs/_posts/ahmedlone127/2023-10-26-indobert_base_uncased_finetuned_indonlu_smsa_id.md
new file mode 100644
index 000000000000..e9629da587ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-indobert_base_uncased_finetuned_indonlu_smsa_id.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Indonesian indobert_base_uncased_finetuned_indonlu_smsa BertForSequenceClassification from ayameRushia
+author: John Snow Labs
+name: indobert_base_uncased_finetuned_indonlu_smsa
+date: 2023-10-26
+tags: [bert, id, open_source, sequence_classification, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_base_uncased_finetuned_indonlu_smsa` is a Indonesian model originally trained by ayameRushia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_base_uncased_finetuned_indonlu_smsa_id_5.1.4_3.4_1698312802788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_base_uncased_finetuned_indonlu_smsa_id_5.1.4_3.4_1698312802788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_base_uncased_finetuned_indonlu_smsa|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|413.9 MB|
+
+## References
+
+https://huggingface.co/ayameRushia/indobert-base-uncased-finetuned-indonlu-smsa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-indobert_hoax_classification_en.md b/docs/_posts/ahmedlone127/2023-10-26-indobert_hoax_classification_en.md
new file mode 100644
index 000000000000..ae45bb86ee0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-indobert_hoax_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English indobert_hoax_classification BertForSequenceClassification from Rifky
+author: John Snow Labs
+name: indobert_hoax_classification
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_hoax_classification` is a English model originally trained by Rifky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_hoax_classification_en_5.1.4_3.4_1698353797562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_hoax_classification_en_5.1.4_3.4_1698353797562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_hoax_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/Rifky/indobert-hoax-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-indobertweet_sentiment2_en.md b/docs/_posts/ahmedlone127/2023-10-26-indobertweet_sentiment2_en.md
new file mode 100644
index 000000000000..8c7f33b3b10a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-indobertweet_sentiment2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English indobertweet_sentiment2 BertForSequenceClassification from candra
+author: John Snow Labs
+name: indobertweet_sentiment2
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobertweet_sentiment2` is a English model originally trained by candra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobertweet_sentiment2_en_5.1.4_3.4_1698344775485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobertweet_sentiment2_en_5.1.4_3.4_1698344775485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobertweet_sentiment2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.0 MB|
+
+## References
+
+https://huggingface.co/candra/indobertweet-sentiment2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-indobertweet_ulasan_beauty_products_id.md b/docs/_posts/ahmedlone127/2023-10-26-indobertweet_ulasan_beauty_products_id.md
new file mode 100644
index 000000000000..5db151aeb343
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-indobertweet_ulasan_beauty_products_id.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Indonesian indobertweet_ulasan_beauty_products BertForSequenceClassification from sekarmulyani
+author: John Snow Labs
+name: indobertweet_ulasan_beauty_products
+date: 2023-10-26
+tags: [bert, id, open_source, sequence_classification, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobertweet_ulasan_beauty_products` is a Indonesian model originally trained by sekarmulyani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobertweet_ulasan_beauty_products_id_5.1.4_3.4_1698360552443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobertweet_ulasan_beauty_products_id_5.1.4_3.4_1698360552443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobertweet_ulasan_beauty_products|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|414.0 MB|
+
+## References
+
+https://huggingface.co/sekarmulyani/indobertweet-ulasan-beauty-products
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-jobbert_base_cased_compdecs_en.md b/docs/_posts/ahmedlone127/2023-10-26-jobbert_base_cased_compdecs_en.md
new file mode 100644
index 000000000000..d1dff79ee5a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-jobbert_base_cased_compdecs_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English jobbert_base_cased_compdecs BertForSequenceClassification from nestauk
+author: John Snow Labs
+name: jobbert_base_cased_compdecs
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jobbert_base_cased_compdecs` is a English model originally trained by nestauk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jobbert_base_cased_compdecs_en_5.1.4_3.4_1698359131105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jobbert_base_cased_compdecs_en_5.1.4_3.4_1698359131105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jobbert_base_cased_compdecs|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|404.4 MB|
+
+## References
+
+https://huggingface.co/nestauk/jobbert-base-cased-compdecs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-kd_roberta_1lbert_mixed_trial1_en.md b/docs/_posts/ahmedlone127/2023-10-26-kd_roberta_1lbert_mixed_trial1_en.md
new file mode 100644
index 000000000000..39ff39cc3115
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-kd_roberta_1lbert_mixed_trial1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English kd_roberta_1lbert_mixed_trial1 BertForSequenceClassification from Youssef320
+author: John Snow Labs
+name: kd_roberta_1lbert_mixed_trial1
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kd_roberta_1lbert_mixed_trial1` is a English model originally trained by Youssef320.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kd_roberta_1lbert_mixed_trial1_en_5.1.4_3.4_1698341379413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kd_roberta_1lbert_mixed_trial1_en_5.1.4_3.4_1698341379413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kd_roberta_1lbert_mixed_trial1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|43.9 MB|
+
+## References
+
+https://huggingface.co/Youssef320/KD_Roberta_1LBERT_Mixed_trial1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-lc_2_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-10-26-lc_2_bert_base_uncased_en.md
new file mode 100644
index 000000000000..bf5c509a3295
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-lc_2_bert_base_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English lc_2_bert_base_uncased BertForSequenceClassification from PiceTRP
+author: John Snow Labs
+name: lc_2_bert_base_uncased
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lc_2_bert_base_uncased` is a English model originally trained by PiceTRP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lc_2_bert_base_uncased_en_5.1.4_3.4_1698363973733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lc_2_bert_base_uncased_en_5.1.4_3.4_1698363973733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lc_2_bert_base_uncased|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/PiceTRP/lc_2_bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-legal_bert_test2_en.md b/docs/_posts/ahmedlone127/2023-10-26-legal_bert_test2_en.md
new file mode 100644
index 000000000000..2dad795ddf4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-legal_bert_test2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English legal_bert_test2 BertForSequenceClassification from wiorz
+author: John Snow Labs
+name: legal_bert_test2
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_bert_test2` is a English model originally trained by wiorz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_bert_test2_en_5.1.4_3.4_1698320290761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_bert_test2_en_5.1.4_3.4_1698320290761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_bert_test2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|131.6 MB|
+
+## References
+
+https://huggingface.co/wiorz/legal_bert_test2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mediabiasdetector_bert_2e_en.md b/docs/_posts/ahmedlone127/2023-10-26-mediabiasdetector_bert_2e_en.md
new file mode 100644
index 000000000000..6f1aac12e9a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mediabiasdetector_bert_2e_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mediabiasdetector_bert_2e BertForSequenceClassification from jordankrishnayah
+author: John Snow Labs
+name: mediabiasdetector_bert_2e
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mediabiasdetector_bert_2e` is a English model originally trained by jordankrishnayah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mediabiasdetector_bert_2e_en_5.1.4_3.4_1698355958928.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mediabiasdetector_bert_2e_en_5.1.4_3.4_1698355958928.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mediabiasdetector_bert_2e|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jordankrishnayah/mediabiasdetector-bert-2e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mediabiasdetector_bert_3e_en.md b/docs/_posts/ahmedlone127/2023-10-26-mediabiasdetector_bert_3e_en.md
new file mode 100644
index 000000000000..1c1a107cfc01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mediabiasdetector_bert_3e_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mediabiasdetector_bert_3e BertForSequenceClassification from jordankrishnayah
+author: John Snow Labs
+name: mediabiasdetector_bert_3e
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mediabiasdetector_bert_3e` is a English model originally trained by jordankrishnayah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mediabiasdetector_bert_3e_en_5.1.4_3.4_1698356838066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mediabiasdetector_bert_3e_en_5.1.4_3.4_1698356838066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mediabiasdetector_bert_3e|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jordankrishnayah/mediabiasdetector-bert-3e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v10_en.md b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v10_en.md
new file mode 100644
index 000000000000..bc047a0de2a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v10_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v10 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v10
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v10` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v10_en_5.1.4_3.4_1698315973534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v10_en_5.1.4_3.4_1698315973534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v10|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.1 MB|
+
+## References
+
+https://huggingface.co/hw2942/mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-SSEC-v10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v4_en.md b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v4_en.md
new file mode 100644
index 000000000000..2679c519a618
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v4 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v4
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v4` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v4_en_5.1.4_3.4_1698311940600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v4_en_5.1.4_3.4_1698311940600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v4|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.1 MB|
+
+## References
+
+https://huggingface.co/hw2942/mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-SSEC-v4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v5_en.md b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v5_en.md
new file mode 100644
index 000000000000..5760328d922a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v5 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v5
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v5` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v5_en_5.1.4_3.4_1698312160553.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v5_en_5.1.4_3.4_1698312160553.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v5|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.1 MB|
+
+## References
+
+https://huggingface.co/hw2942/mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-SSEC-v5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v6_en.md b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v6_en.md
new file mode 100644
index 000000000000..25374c14e1f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v6 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v6
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v6` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v6_en_5.1.4_3.4_1698313516445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v6_en_5.1.4_3.4_1698313516445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v6|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.1 MB|
+
+## References
+
+https://huggingface.co/hw2942/mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-SSEC-v6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v7_en.md b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v7_en.md
new file mode 100644
index 000000000000..dda7c8066fec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v7 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v7
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v7` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v7_en_5.1.4_3.4_1698313713892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v7_en_5.1.4_3.4_1698313713892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v7|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.1 MB|
+
+## References
+
+https://huggingface.co/hw2942/mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-SSEC-v7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v8_en.md b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v8_en.md
new file mode 100644
index 000000000000..54b6e3fe63f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v8 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v8
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v8` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v8_en_5.1.4_3.4_1698314535252.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v8_en_5.1.4_3.4_1698314535252.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v8|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.1 MB|
+
+## References
+
+https://huggingface.co/hw2942/mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-SSEC-v8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v9_en.md b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v9_en.md
new file mode 100644
index 000000000000..a5a9a1b88c3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v9 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v9
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v9` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v9_en_5.1.4_3.4_1698315232836.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v9_en_5.1.4_3.4_1698315232836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mengzi_bert_base_fin_wallstreetcn_morning_news_market_overview_ssec_v9|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.1 MB|
+
+## References
+
+https://huggingface.co/hw2942/mengzi-bert-base-fin-wallstreetcn-morning-news-market-overview-SSEC-v9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mental_bert_base_uncased_masked_finetuned_0517_en.md b/docs/_posts/ahmedlone127/2023-10-26-mental_bert_base_uncased_masked_finetuned_0517_en.md
new file mode 100644
index 000000000000..091fecd326d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mental_bert_base_uncased_masked_finetuned_0517_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mental_bert_base_uncased_masked_finetuned_0517 BertForSequenceClassification from YeRyeongLee
+author: John Snow Labs
+name: mental_bert_base_uncased_masked_finetuned_0517
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mental_bert_base_uncased_masked_finetuned_0517` is a English model originally trained by YeRyeongLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mental_bert_base_uncased_masked_finetuned_0517_en_5.1.4_3.4_1698353803382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mental_bert_base_uncased_masked_finetuned_0517_en_5.1.4_3.4_1698353803382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mental_bert_base_uncased_masked_finetuned_0517|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.8 MB|
+
+## References
+
+https://huggingface.co/YeRyeongLee/mental-bert-base-uncased-masked_finetuned-0517
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mnli_bert_base_cased_2_en.md b/docs/_posts/ahmedlone127/2023-10-26-mnli_bert_base_cased_2_en.md
new file mode 100644
index 000000000000..eba442af3b8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mnli_bert_base_cased_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mnli_bert_base_cased_2 BertForSequenceClassification from boychaboy
+author: John Snow Labs
+name: mnli_bert_base_cased_2
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mnli_bert_base_cased_2` is a English model originally trained by boychaboy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mnli_bert_base_cased_2_en_5.1.4_3.4_1698351977762.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mnli_bert_base_cased_2_en_5.1.4_3.4_1698351977762.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mnli_bert_base_cased_2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/boychaboy/MNLI_bert-base-cased_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mnli_bert_base_cased_en.md b/docs/_posts/ahmedlone127/2023-10-26-mnli_bert_base_cased_en.md
new file mode 100644
index 000000000000..ee80cf946a0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mnli_bert_base_cased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mnli_bert_base_cased BertForSequenceClassification from boychaboy
+author: John Snow Labs
+name: mnli_bert_base_cased
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mnli_bert_base_cased` is a English model originally trained by boychaboy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mnli_bert_base_cased_en_5.1.4_3.4_1698351191247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mnli_bert_base_cased_en_5.1.4_3.4_1698351191247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mnli_bert_base_cased|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/boychaboy/MNLI_bert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mnli_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-10-26-mnli_bert_base_uncased_en.md
new file mode 100644
index 000000000000..95e6db63c103
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mnli_bert_base_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mnli_bert_base_uncased BertForSequenceClassification from boychaboy
+author: John Snow Labs
+name: mnli_bert_base_uncased
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mnli_bert_base_uncased` is a English model originally trained by boychaboy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mnli_bert_base_uncased_en_5.1.4_3.4_1698352907236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mnli_bert_base_uncased_en_5.1.4_3.4_1698352907236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mnli_bert_base_uncased|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/boychaboy/MNLI_bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-monobert_large_msmarco_finetune_only_en.md b/docs/_posts/ahmedlone127/2023-10-26-monobert_large_msmarco_finetune_only_en.md
new file mode 100644
index 000000000000..d5db3e3488c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-monobert_large_msmarco_finetune_only_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English monobert_large_msmarco_finetune_only BertForSequenceClassification from castorini
+author: John Snow Labs
+name: monobert_large_msmarco_finetune_only
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`monobert_large_msmarco_finetune_only` is a English model originally trained by castorini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/monobert_large_msmarco_finetune_only_en_5.1.4_3.4_1698362521396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/monobert_large_msmarco_finetune_only_en_5.1.4_3.4_1698362521396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|monobert_large_msmarco_finetune_only|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/castorini/monobert-large-msmarco-finetune-only
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mrpc_bert_base_cased_en.md b/docs/_posts/ahmedlone127/2023-10-26-mrpc_bert_base_cased_en.md
new file mode 100644
index 000000000000..a47860449c16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mrpc_bert_base_cased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mrpc_bert_base_cased BertForSequenceClassification from hf-internal-testing
+author: John Snow Labs
+name: mrpc_bert_base_cased
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mrpc_bert_base_cased` is a English model originally trained by hf-internal-testing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mrpc_bert_base_cased_en_5.1.4_3.4_1698351037660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mrpc_bert_base_cased_en_5.1.4_3.4_1698351037660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mrpc_bert_base_cased|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/hf-internal-testing/mrpc-bert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-mulfakenews_mbert_en.md b/docs/_posts/ahmedlone127/2023-10-26-mulfakenews_mbert_en.md
new file mode 100644
index 000000000000..06dcdc5c18c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-mulfakenews_mbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mulfakenews_mbert BertForSequenceClassification from tiya1012
+author: John Snow Labs
+name: mulfakenews_mbert
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mulfakenews_mbert` is a English model originally trained by tiya1012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mulfakenews_mbert_en_5.1.4_3.4_1698319837731.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mulfakenews_mbert_en_5.1.4_3.4_1698319837731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mulfakenews_mbert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/tiya1012/mulfakenews_mbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-nepal_bhasa_bert_url_clasification_en.md b/docs/_posts/ahmedlone127/2023-10-26-nepal_bhasa_bert_url_clasification_en.md
new file mode 100644
index 000000000000..b9db1fb60dfd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-nepal_bhasa_bert_url_clasification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nepal_bhasa_bert_url_clasification BertForSequenceClassification from priyabrat
+author: John Snow Labs
+name: nepal_bhasa_bert_url_clasification
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepal_bhasa_bert_url_clasification` is a English model originally trained by priyabrat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_bert_url_clasification_en_5.1.4_3.4_1698327198231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_bert_url_clasification_en_5.1.4_3.4_1698327198231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepal_bhasa_bert_url_clasification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/priyabrat/new_bert_url_clasification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_3000_rader_2_test_en.md b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_3000_rader_2_test_en.md
new file mode 100644
index 000000000000..7fea58cf10b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_3000_rader_2_test_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English norbert2_sentiment_norec_english_gpu_3000_rader_2_test BertForSequenceClassification from NTCAL
+author: John Snow Labs
+name: norbert2_sentiment_norec_english_gpu_3000_rader_2_test
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norbert2_sentiment_norec_english_gpu_3000_rader_2_test` is a English model originally trained by NTCAL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_english_gpu_3000_rader_2_test_en_5.1.4_3.4_1698340187330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_english_gpu_3000_rader_2_test_en_5.1.4_3.4_1698340187330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norbert2_sentiment_norec_english_gpu_3000_rader_2_test|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/NTCAL/norbert2_sentiment_norec_en_gpu_3000_rader_2_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_3000_rader_3_en.md b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_3000_rader_3_en.md
new file mode 100644
index 000000000000..ff81430dc74c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_3000_rader_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English norbert2_sentiment_norec_english_gpu_3000_rader_3 BertForSequenceClassification from NTCAL
+author: John Snow Labs
+name: norbert2_sentiment_norec_english_gpu_3000_rader_3
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norbert2_sentiment_norec_english_gpu_3000_rader_3` is a English model originally trained by NTCAL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_english_gpu_3000_rader_3_en_5.1.4_3.4_1698340554688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_english_gpu_3000_rader_3_en_5.1.4_3.4_1698340554688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norbert2_sentiment_norec_english_gpu_3000_rader_3|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/NTCAL/norbert2_sentiment_norec_en_gpu_3000_rader_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_500_rader_9_en.md b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_500_rader_9_en.md
new file mode 100644
index 000000000000..20c133b3ba44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_500_rader_9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English norbert2_sentiment_norec_english_gpu_500_rader_9 BertForSequenceClassification from NTCAL
+author: John Snow Labs
+name: norbert2_sentiment_norec_english_gpu_500_rader_9
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norbert2_sentiment_norec_english_gpu_500_rader_9` is a English model originally trained by NTCAL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_english_gpu_500_rader_9_en_5.1.4_3.4_1698341450446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_english_gpu_500_rader_9_en_5.1.4_3.4_1698341450446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norbert2_sentiment_norec_english_gpu_500_rader_9|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/NTCAL/norbert2_sentiment_norec_en_gpu_500_rader_9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_500_rader_max_1_en.md b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_500_rader_max_1_en.md
new file mode 100644
index 000000000000..a5a2bb5b1933
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_500_rader_max_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English norbert2_sentiment_norec_english_gpu_500_rader_max_1 BertForSequenceClassification from NTCAL
+author: John Snow Labs
+name: norbert2_sentiment_norec_english_gpu_500_rader_max_1
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norbert2_sentiment_norec_english_gpu_500_rader_max_1` is a English model originally trained by NTCAL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_english_gpu_500_rader_max_1_en_5.1.4_3.4_1698342448549.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_english_gpu_500_rader_max_1_en_5.1.4_3.4_1698342448549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norbert2_sentiment_norec_english_gpu_500_rader_max_1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/NTCAL/norbert2_sentiment_norec_en_gpu_500_rader_max_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_500_rader_max_noder_task_en.md b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_500_rader_max_noder_task_en.md
new file mode 100644
index 000000000000..4e4012e7c74a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_english_gpu_500_rader_max_noder_task_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English norbert2_sentiment_norec_english_gpu_500_rader_max_noder_task BertForSequenceClassification from NTCAL
+author: John Snow Labs
+name: norbert2_sentiment_norec_english_gpu_500_rader_max_noder_task
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norbert2_sentiment_norec_english_gpu_500_rader_max_noder_task` is a English model originally trained by NTCAL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_english_gpu_500_rader_max_noder_task_en_5.1.4_3.4_1698343873004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_english_gpu_500_rader_max_noder_task_en_5.1.4_3.4_1698343873004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norbert2_sentiment_norec_english_gpu_500_rader_max_noder_task|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/NTCAL/norbert2_sentiment_norec_en_gpu_500_rader_max_noder_task
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_tonga_tonga_islands_gpu_500_rader_8_en.md b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_tonga_tonga_islands_gpu_500_rader_8_en.md
new file mode 100644
index 000000000000..48ae58c75955
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-norbert2_sentiment_norec_tonga_tonga_islands_gpu_500_rader_8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English norbert2_sentiment_norec_tonga_tonga_islands_gpu_500_rader_8 BertForSequenceClassification from NTCAL
+author: John Snow Labs
+name: norbert2_sentiment_norec_tonga_tonga_islands_gpu_500_rader_8
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norbert2_sentiment_norec_tonga_tonga_islands_gpu_500_rader_8` is a English model originally trained by NTCAL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_tonga_tonga_islands_gpu_500_rader_8_en_5.1.4_3.4_1698340916723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norbert2_sentiment_norec_tonga_tonga_islands_gpu_500_rader_8_en_5.1.4_3.4_1698340916723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norbert2_sentiment_norec_tonga_tonga_islands_gpu_500_rader_8|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/NTCAL/norbert2_sentiment_norec_to_gpu_500_rader_8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-otus_fw_bert_en.md b/docs/_posts/ahmedlone127/2023-10-26-otus_fw_bert_en.md
new file mode 100644
index 000000000000..aaab28e81015
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-otus_fw_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English otus_fw_bert BertForSequenceClassification from Dezzpil
+author: John Snow Labs
+name: otus_fw_bert
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`otus_fw_bert` is a English model originally trained by Dezzpil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/otus_fw_bert_en_5.1.4_3.4_1698363973670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/otus_fw_bert_en_5.1.4_3.4_1698363973670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_base_cased_sentiment_mokoron|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/blanchefort/rubert-base-cased-sentiment-mokoron
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-sentiment_bert_imdb_10_en.md b/docs/_posts/ahmedlone127/2023-10-26-sentiment_bert_imdb_10_en.md
new file mode 100644
index 000000000000..eaec92802487
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-sentiment_bert_imdb_10_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_bert_imdb_10 BertForSequenceClassification from pachequinho
+author: John Snow Labs
+name: sentiment_bert_imdb_10
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_bert_imdb_10` is a English model originally trained by pachequinho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_bert_imdb_10_en_5.1.4_3.4_1698342876890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_bert_imdb_10_en_5.1.4_3.4_1698342876890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_bert_imdb_10|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/pachequinho/sentiment_bert_imdb_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-strong_password_checker_bert_en.md b/docs/_posts/ahmedlone127/2023-10-26-strong_password_checker_bert_en.md
new file mode 100644
index 000000000000..2163524e3bf1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-strong_password_checker_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English strong_password_checker_bert BertForSequenceClassification from dima806
+author: John Snow Labs
+name: strong_password_checker_bert
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`strong_password_checker_bert` is a English model originally trained by dima806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/strong_password_checker_bert_en_5.1.4_3.4_1698353885197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/strong_password_checker_bert_en_5.1.4_3.4_1698353885197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_bert_base_multilingual_uncased_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/kkkzzzkkk/test_bert-base-multilingual-uncased-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-trans_encoder_cross_simcse_bert_base_en.md b/docs/_posts/ahmedlone127/2023-10-26-trans_encoder_cross_simcse_bert_base_en.md
new file mode 100644
index 000000000000..cddd2d53aa45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-trans_encoder_cross_simcse_bert_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English trans_encoder_cross_simcse_bert_base BertForSequenceClassification from cambridgeltl
+author: John Snow Labs
+name: trans_encoder_cross_simcse_bert_base
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trans_encoder_cross_simcse_bert_base` is a English model originally trained by cambridgeltl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trans_encoder_cross_simcse_bert_base_en_5.1.4_3.4_1698359783414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trans_encoder_cross_simcse_bert_base_en_5.1.4_3.4_1698359783414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trans_encoder_cross_simcse_bert_base|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/cambridgeltl/trans-encoder-cross-simcse-bert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-trans_encoder_cross_simcse_bert_large_en.md b/docs/_posts/ahmedlone127/2023-10-26-trans_encoder_cross_simcse_bert_large_en.md
new file mode 100644
index 000000000000..5af81390dc43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-trans_encoder_cross_simcse_bert_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English trans_encoder_cross_simcse_bert_large BertForSequenceClassification from cambridgeltl
+author: John Snow Labs
+name: trans_encoder_cross_simcse_bert_large
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trans_encoder_cross_simcse_bert_large` is a English model originally trained by cambridgeltl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trans_encoder_cross_simcse_bert_large_en_5.1.4_3.4_1698361126331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trans_encoder_cross_simcse_bert_large_en_5.1.4_3.4_1698361126331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trans_encoder_cross_simcse_bert_large|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/cambridgeltl/trans-encoder-cross-simcse-bert-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-26-umit_42000news_bert_turkish_en.md b/docs/_posts/ahmedlone127/2023-10-26-umit_42000news_bert_turkish_en.md
new file mode 100644
index 000000000000..0500996f5e01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-26-umit_42000news_bert_turkish_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English umit_42000news_bert_turkish BertForSequenceClassification from uisikdag
+author: John Snow Labs
+name: umit_42000news_bert_turkish
+date: 2023-10-26
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`umit_42000news_bert_turkish` is a English model originally trained by uisikdag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/umit_42000news_bert_turkish_en_5.1.4_3.4_1698328170532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/umit_42000news_bert_turkish_en_5.1.4_3.4_1698328170532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|umit_42000news_bert_turkish|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/uisikdag/umit_42000news_bert_turkish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-4_way_detection_prop_16_bert_en.md b/docs/_posts/ahmedlone127/2023-10-27-4_way_detection_prop_16_bert_en.md
new file mode 100644
index 000000000000..9797758f3d7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-4_way_detection_prop_16_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 4_way_detection_prop_16_bert BertForSequenceClassification from ultra-coder54732
+author: John Snow Labs
+name: 4_way_detection_prop_16_bert
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`4_way_detection_prop_16_bert` is a English model originally trained by ultra-coder54732.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/4_way_detection_prop_16_bert_en_5.1.4_3.4_1698394743938.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/4_way_detection_prop_16_bert_en_5.1.4_3.4_1698394743938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|4_way_detection_prop_16_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ultra-coder54732/4-way-detection-prop-16-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_69_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_69_en.md
new file mode 100644
index 000000000000..fd67f4c17551
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_69_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_69 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_69
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_69` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_69_en_5.1.4_3.4_1698365538986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_69_en_5.1.4_3.4_1698365538986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_69|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-69
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_70_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_70_en.md
new file mode 100644
index 000000000000..11d0d90aa79c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_70_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_70 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_70
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_70` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_70_en_5.1.4_3.4_1698366363571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_70_en_5.1.4_3.4_1698366363571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_70|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-70
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_71_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_71_en.md
new file mode 100644
index 000000000000..4d99ac6f2d5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_71_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_71 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_71
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_71` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_71_en_5.1.4_3.4_1698367018717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_71_en_5.1.4_3.4_1698367018717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_71|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-71
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_72_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_72_en.md
new file mode 100644
index 000000000000..99b6852d8453
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_72_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_72 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_72
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_72` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_72_en_5.1.4_3.4_1698367893284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_72_en_5.1.4_3.4_1698367893284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_72|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-72
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_73_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_73_en.md
new file mode 100644
index 000000000000..324416c4ebf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_73_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_73 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_73
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_73` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_73_en_5.1.4_3.4_1698368747805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_73_en_5.1.4_3.4_1698368747805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_73|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-73
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_74_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_74_en.md
new file mode 100644
index 000000000000..f0030f1a0731
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_74_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_74 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_74
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_74` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_74_en_5.1.4_3.4_1698369732590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_74_en_5.1.4_3.4_1698369732590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_74|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-74
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_75_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_75_en.md
new file mode 100644
index 000000000000..34805b938ca3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_75_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_75 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_75
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_75` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_75_en_5.1.4_3.4_1698370380205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_75_en_5.1.4_3.4_1698370380205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_75|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-75
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_76_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_76_en.md
new file mode 100644
index 000000000000..ac6712870ed0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_76_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_76 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_76
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_76` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_76_en_5.1.4_3.4_1698371134365.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_76_en_5.1.4_3.4_1698371134365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_76|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-76
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_77_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_77_en.md
new file mode 100644
index 000000000000..d474590d5e13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_77_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_77 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_77
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_77` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_77_en_5.1.4_3.4_1698372340127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_77_en_5.1.4_3.4_1698372340127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_77|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-77
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_78_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_78_en.md
new file mode 100644
index 000000000000..3f9a125dd643
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_78_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_78 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_78
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_78` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_78_en_5.1.4_3.4_1698373304752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_78_en_5.1.4_3.4_1698373304752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_78|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-78
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_79_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_79_en.md
new file mode 100644
index 000000000000..820da687fe95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_79_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_79 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_79
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_79` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_79_en_5.1.4_3.4_1698374359675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_79_en_5.1.4_3.4_1698374359675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_79|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-79
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_80_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_80_en.md
new file mode 100644
index 000000000000..a4e46715fc76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_80_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_80 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_80
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_80` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_80_en_5.1.4_3.4_1698375363251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_80_en_5.1.4_3.4_1698375363251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_80|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-80
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_81_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_81_en.md
new file mode 100644
index 000000000000..7b06bd32f2fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_81_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_81 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_81
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_81` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_81_en_5.1.4_3.4_1698376103299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_81_en_5.1.4_3.4_1698376103299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_81|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-81
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_82_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_82_en.md
new file mode 100644
index 000000000000..3cef8f83709b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_82_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_82 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_82
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_82` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_82_en_5.1.4_3.4_1698377069045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_82_en_5.1.4_3.4_1698377069045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_82|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-82
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_83_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_83_en.md
new file mode 100644
index 000000000000..0e82c43b50c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_83_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_83 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_83
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_83` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_83_en_5.1.4_3.4_1698378024384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_83_en_5.1.4_3.4_1698378024384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_83|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-83
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_84_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_84_en.md
new file mode 100644
index 000000000000..8026c7aab8ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_84_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_84 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_84
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_84` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_84_en_5.1.4_3.4_1698378892690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_84_en_5.1.4_3.4_1698378892690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_84|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-84
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_85_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_85_en.md
new file mode 100644
index 000000000000..066fd44afa3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_85_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_85 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_85
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_85` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_85_en_5.1.4_3.4_1698379701713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_85_en_5.1.4_3.4_1698379701713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_85|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-85
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_86_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_86_en.md
new file mode 100644
index 000000000000..d4d745d128ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_86_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_86 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_86
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_86` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_86_en_5.1.4_3.4_1698380350317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_86_en_5.1.4_3.4_1698380350317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_86|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-86
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_87_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_87_en.md
new file mode 100644
index 000000000000..3e3b489c0ddb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_87_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_87 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_87
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_87` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_87_en_5.1.4_3.4_1698381019932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_87_en_5.1.4_3.4_1698381019932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_87|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-87
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_88_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_88_en.md
new file mode 100644
index 000000000000..143c2c363ffb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_88_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_88 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_88
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_88` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_88_en_5.1.4_3.4_1698381906561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_88_en_5.1.4_3.4_1698381906561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_88|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-88
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_89_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_89_en.md
new file mode 100644
index 000000000000..4155e2c09ad4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_89_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_89 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_89
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_89` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_89_en_5.1.4_3.4_1698382661140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_89_en_5.1.4_3.4_1698382661140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_89|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-89
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_90_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_90_en.md
new file mode 100644
index 000000000000..0bc65b9dbee4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_90_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_90 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_90
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_90` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_90_en_5.1.4_3.4_1698383440064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_90_en_5.1.4_3.4_1698383440064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_90|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-90
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_91_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_91_en.md
new file mode 100644
index 000000000000..de314c92f483
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_91_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_91 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_91
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_91` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_91_en_5.1.4_3.4_1698384314595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_91_en_5.1.4_3.4_1698384314595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_91|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-91
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_96_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_96_en.md
new file mode 100644
index 000000000000..50183aa1e964
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_96 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_96
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_96` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_96_en_5.1.4_3.4_1698385344044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_96_en_5.1.4_3.4_1698385344044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_96|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_97_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_97_en.md
new file mode 100644
index 000000000000..00e8495a2768
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_97_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_97 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_97
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_97` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_97_en_5.1.4_3.4_1698386201061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_97_en_5.1.4_3.4_1698386201061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_97|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-97
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_98_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_98_en.md
new file mode 100644
index 000000000000..3f03c60d6373
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_98_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_98 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_98
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_98` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_98_en_5.1.4_3.4_1698386943136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_98_en_5.1.4_3.4_1698386943136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_98|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-98
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_99_en.md b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_99_en.md
new file mode 100644
index 000000000000..30424a820987
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-512seq_len_6ep_bert_ft_cola_99_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 512seq_len_6ep_bert_ft_cola_99 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: 512seq_len_6ep_bert_ft_cola_99
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`512seq_len_6ep_bert_ft_cola_99` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_99_en_5.1.4_3.4_1698387764931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/512seq_len_6ep_bert_ft_cola_99_en_5.1.4_3.4_1698387764931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|512seq_len_6ep_bert_ft_cola_99|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/512seq_len_6ep_bert_ft_cola-99
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-autotrain_bert_base_xxl_uncased_ft_85992142947_en.md b/docs/_posts/ahmedlone127/2023-10-27-autotrain_bert_base_xxl_uncased_ft_85992142947_en.md
new file mode 100644
index 000000000000..ce2599f773cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-autotrain_bert_base_xxl_uncased_ft_85992142947_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autotrain_bert_base_xxl_uncased_ft_85992142947 BertForSequenceClassification from giuseppemartino
+author: John Snow Labs
+name: autotrain_bert_base_xxl_uncased_ft_85992142947
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_bert_base_xxl_uncased_ft_85992142947` is a English model originally trained by giuseppemartino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_bert_base_xxl_uncased_ft_85992142947_en_5.1.4_3.4_1698376306067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_bert_base_xxl_uncased_ft_85992142947_en_5.1.4_3.4_1698376306067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_bert_base_xxl_uncased_ft_85992142947|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/giuseppemartino/autotrain-bert-base-xxl-uncased-ft-85992142947
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-beer_sentiment_bert_en.md b/docs/_posts/ahmedlone127/2023-10-27-beer_sentiment_bert_en.md
new file mode 100644
index 000000000000..0f00192bc7bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-beer_sentiment_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English beer_sentiment_bert BertForSequenceClassification from GiRak
+author: John Snow Labs
+name: beer_sentiment_bert
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beer_sentiment_bert` is a English model originally trained by GiRak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beer_sentiment_bert_en_5.1.4_3.4_1698391623868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beer_sentiment_bert_en_5.1.4_3.4_1698391623868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beer_sentiment_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/GiRak/beer-sentiment-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_babe_2epochs_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_babe_2epochs_en.md
new file mode 100644
index 000000000000..acbbdefef47d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_babe_2epochs_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_babe_2epochs BertForSequenceClassification from jordankrishnayah
+author: John Snow Labs
+name: bert_babe_2epochs
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_babe_2epochs` is a English model originally trained by jordankrishnayah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_babe_2epochs_en_5.1.4_3.4_1698378459312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_babe_2epochs_en_5.1.4_3.4_1698378459312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_babe_2epochs|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jordankrishnayah/bert-BABE-2epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_babe_3epochs_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_babe_3epochs_en.md
new file mode 100644
index 000000000000..35d651758a8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_babe_3epochs_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_babe_3epochs BertForSequenceClassification from jordankrishnayah
+author: John Snow Labs
+name: bert_babe_3epochs
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_babe_3epochs` is a English model originally trained by jordankrishnayah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_babe_3epochs_en_5.1.4_3.4_1698379460920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_babe_3epochs_en_5.1.4_3.4_1698379460920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_babe_3epochs|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jordankrishnayah/bert-BABE-3epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_banking77_pt2_faviasono_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_banking77_pt2_faviasono_en.md
new file mode 100644
index 000000000000..108204e4575c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_banking77_pt2_faviasono_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_faviasono BertForSequenceClassification from faviasono
+author: John Snow Labs
+name: bert_base_banking77_pt2_faviasono
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_faviasono` is a English model originally trained by faviasono.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_faviasono_en_5.1.4_3.4_1698378705526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_faviasono_en_5.1.4_3.4_1698378705526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_faviasono|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/faviasono/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_banking77_pt2_shreyasm_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_banking77_pt2_shreyasm_en.md
new file mode 100644
index 000000000000..bea653e24cc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_banking77_pt2_shreyasm_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_shreyasm BertForSequenceClassification from ShreyasM
+author: John Snow Labs
+name: bert_base_banking77_pt2_shreyasm
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_shreyasm` is a English model originally trained by ShreyasM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_shreyasm_en_5.1.4_3.4_1698367704237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_shreyasm_en_5.1.4_3.4_1698367704237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_shreyasm|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/ShreyasM/bert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_cased_best_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_cased_best_en.md
new file mode 100644
index 000000000000..10ad265072b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_cased_best_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_cased_best BertForSequenceClassification from edwardgowsmith
+author: John Snow Labs
+name: bert_base_cased_best
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_best` is a English model originally trained by edwardgowsmith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_best_en_5.1.4_3.4_1698397074640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_best_en_5.1.4_3.4_1698397074640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_best|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/edwardgowsmith/bert-base-cased-best
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_cased_sst2_charlescao2023_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_cased_sst2_charlescao2023_en.md
new file mode 100644
index 000000000000..79e4d4095f3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_cased_sst2_charlescao2023_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_cased_sst2_charlescao2023 BertForSequenceClassification from charlescao2023
+author: John Snow Labs
+name: bert_base_cased_sst2_charlescao2023
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_sst2_charlescao2023` is a English model originally trained by charlescao2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_sst2_charlescao2023_en_5.1.4_3.4_1698384809101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_sst2_charlescao2023_en_5.1.4_3.4_1698384809101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_sst2_charlescao2023|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/charlescao2023/bert-base-cased-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_1_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_1_en.md
new file mode 100644
index 000000000000..f3ae612149ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_1 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_1
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_1` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_1_en_5.1.4_3.4_1698393668345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_1_en_5.1.4_3.4_1698393668345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v1_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v1_en.md
new file mode 100644
index 000000000000..a46d8376dfca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v1 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v1
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v1` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v1_en_5.1.4_3.4_1698394502427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v1_en_5.1.4_3.4_1698394502427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v2_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v2_en.md
new file mode 100644
index 000000000000..51005559bcf2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v2 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v2
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v2` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v2_en_5.1.4_3.4_1698395126917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v2_en_5.1.4_3.4_1698395126917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3_en.md
new file mode 100644
index 000000000000..1d476e0469c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3_en_5.1.4_3.4_1698395887581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3_en_5.1.4_3.4_1698395887581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v3|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4_en.md
new file mode 100644
index 000000000000..4307c6523061
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4_en_5.1.4_3.4_1698396592548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4_en_5.1.4_3.4_1698396592548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v4|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-v4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5_en.md
new file mode 100644
index 000000000000..768d68b5052d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5_en_5.1.4_3.4_1698397380576.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5_en_5.1.4_3.4_1698397380576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_wallstreetcn_morning_news_market_overview_ssec_f1_v5|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-wallstreetcn-morning-news-market-overview-SSEC-f1-v5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_dutch_cased_finetuned_snli_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_dutch_cased_finetuned_snli_en.md
new file mode 100644
index 000000000000..5c6a04a51d68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_dutch_cased_finetuned_snli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_dutch_cased_finetuned_snli BertForSequenceClassification from LoicDL
+author: John Snow Labs
+name: bert_base_dutch_cased_finetuned_snli
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_dutch_cased_finetuned_snli` is a English model originally trained by LoicDL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_snli_en_5.1.4_3.4_1698380108206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_snli_en_5.1.4_3.4_1698380108206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_finetuned_snli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/LoicDL/bert-base-dutch-cased-finetuned-snli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_ehddnr_ynat_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_ehddnr_ynat_en.md
new file mode 100644
index 000000000000..9de21d2b18ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_ehddnr_ynat_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_ehddnr_ynat BertForSequenceClassification from ehddnr301
+author: John Snow Labs
+name: bert_base_ehddnr_ynat
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_ehddnr_ynat` is a English model originally trained by ehddnr301.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_ehddnr_ynat_en_5.1.4_3.4_1698397930103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_ehddnr_ynat_en_5.1.4_3.4_1698397930103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_uncased_sentiment_fine_tuned_for_amazon_english_reviews_on_200k_review_v2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/adnanakbr/bert-base-multilingual-uncased-sentiment-fine_tuned_for_amazon_english_reviews_on_200K_review_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_turkish_cased_emotion_analysis_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_turkish_cased_emotion_analysis_en.md
new file mode 100644
index 000000000000..e651901348d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_turkish_cased_emotion_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_turkish_cased_emotion_analysis BertForSequenceClassification from maymuni
+author: John Snow Labs
+name: bert_base_turkish_cased_emotion_analysis
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_turkish_cased_emotion_analysis` is a English model originally trained by maymuni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_turkish_cased_emotion_analysis_en_5.1.4_3.4_1698375165036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_turkish_cased_emotion_analysis_en_5.1.4_3.4_1698375165036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_turkish_cased_emotion_analysis|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/maymuni/bert-base-turkish-cased-emotion-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_emotion_sabersol_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_emotion_sabersol_en.md
new file mode 100644
index 000000000000..ab90e706838c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_emotion_sabersol_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_emotion_sabersol BertForSequenceClassification from sabersol
+author: John Snow Labs
+name: bert_base_uncased_emotion_sabersol
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_emotion_sabersol` is a English model originally trained by sabersol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_sabersol_en_5.1.4_3.4_1698389721705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_emotion_sabersol_en_5.1.4_3.4_1698389721705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_eurlex|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+References
+
+https://huggingface.co/nlpaueb/bert-base-uncased-eurlex
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_3d_sentiment_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_3d_sentiment_en.md
new file mode 100644
index 000000000000..03f9ea997f01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_3d_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_3d_sentiment BertForSequenceClassification from venetis
+author: John Snow Labs
+name: bert_base_uncased_finetuned_3d_sentiment
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_3d_sentiment` is a English model originally trained by venetis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_3d_sentiment_en_5.1.4_3.4_1698389726355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_3d_sentiment_en_5.1.4_3.4_1698389726355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_3d_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/venetis/bert-base-uncased-finetuned-3d-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sdg_mar23_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sdg_mar23_en.md
new file mode 100644
index 000000000000..2d08a0b568c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sdg_mar23_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sdg_mar23 BertForSequenceClassification from jonas
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sdg_mar23
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sdg_mar23` is a English model originally trained by jonas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sdg_mar23_en_5.1.4_3.4_1698372272115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sdg_mar23_en_5.1.4_3.4_1698372272115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sdg_mar23|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/jonas/bert-base-uncased-finetuned-sdg-Mar23
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sentiment_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sentiment_en.md
new file mode 100644
index 000000000000..a7c3490fc2d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sentiment BertForSequenceClassification from riddhi17pawar
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sentiment
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sentiment` is a English model originally trained by riddhi17pawar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sentiment_en_5.1.4_3.4_1698383750184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sentiment_en_5.1.4_3.4_1698383750184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/riddhi17pawar/bert-base-uncased-finetuned-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sst2_202k_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sst2_202k_en.md
new file mode 100644
index 000000000000..90f2b2ae35e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sst2_202k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_202k BertForSequenceClassification from 202k
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_202k
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sst2_202k` is a English model originally trained by 202k.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_202k_en_5.1.4_3.4_1698376102993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_202k_en_5.1.4_3.4_1698376102993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_202k|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/202k/bert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sst2_junwupark_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sst2_junwupark_en.md
new file mode 100644
index 000000000000..1976a232550f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sst2_junwupark_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_junwupark BertForSequenceClassification from junwupark
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_junwupark
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sst2_junwupark` is a English model originally trained by junwupark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_junwupark_en_5.1.4_3.4_1698395672524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_junwupark_en_5.1.4_3.4_1698395672524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_junwupark|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/junwupark/bert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sst2_khs05109_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sst2_khs05109_en.md
new file mode 100644
index 000000000000..74d74639ed44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_finetuned_sst2_khs05109_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sst2_khs05109 BertForSequenceClassification from khs05109
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sst2_khs05109
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sst2_khs05109` is a English model originally trained by khs05109.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_khs05109_en_5.1.4_3.4_1698380510756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sst2_khs05109_en_5.1.4_3.4_1698380510756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sst2_khs05109|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/khs05109/bert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_poems_sentiment_jonathan0528_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_poems_sentiment_jonathan0528_en.md
new file mode 100644
index 000000000000..1a1dbda3679b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_poems_sentiment_jonathan0528_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_poems_sentiment_jonathan0528 BertForSequenceClassification from Jonathan0528
+author: John Snow Labs
+name: bert_base_uncased_poems_sentiment_jonathan0528
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_poems_sentiment_jonathan0528` is a English model originally trained by Jonathan0528.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_poems_sentiment_jonathan0528_en_5.1.4_3.4_1698373289776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_poems_sentiment_jonathan0528_en_5.1.4_3.4_1698373289776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_poems_sentiment_jonathan0528|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jonathan0528/bert-base-uncased-poems-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_qqp_f87_8_d36_hybrid_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_qqp_f87_8_d36_hybrid_en.md
new file mode 100644
index 000000000000..68378307fba1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_qqp_f87_8_d36_hybrid_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_qqp_f87_8_d36_hybrid BertForSequenceClassification from echarlaix
+author: John Snow Labs
+name: bert_base_uncased_qqp_f87_8_d36_hybrid
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_qqp_f87_8_d36_hybrid` is a English model originally trained by echarlaix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qqp_f87_8_d36_hybrid_en_5.1.4_3.4_1698393520026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qqp_f87_8_d36_hybrid_en_5.1.4_3.4_1698393520026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_qqp_f87_8_d36_hybrid|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|218.2 MB|
+
+## References
+
+https://huggingface.co/echarlaix/bert-base-uncased-qqp-f87.8-d36-hybrid
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_sst2_acc91_1_d37_hybrid_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_sst2_acc91_1_d37_hybrid_en.md
new file mode 100644
index 000000000000..8005434b0855
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_sst2_acc91_1_d37_hybrid_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_acc91_1_d37_hybrid BertForSequenceClassification from echarlaix
+author: John Snow Labs
+name: bert_base_uncased_sst2_acc91_1_d37_hybrid
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst2_acc91_1_d37_hybrid` is a English model originally trained by echarlaix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_acc91_1_d37_hybrid_en_5.1.4_3.4_1698394240737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_acc91_1_d37_hybrid_en_5.1.4_3.4_1698394240737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst2_acc91_1_d37_hybrid|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|221.6 MB|
+
+## References
+
+https://huggingface.co/echarlaix/bert-base-uncased-sst2-acc91.1-d37-hybrid
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_sst2_static_quant_test_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_sst2_static_quant_test_en.md
new file mode 100644
index 000000000000..5d651e54fc1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_sst2_static_quant_test_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_static_quant_test BertForSequenceClassification from echarlaix
+author: John Snow Labs
+name: bert_base_uncased_sst2_static_quant_test
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst2_static_quant_test` is a English model originally trained by echarlaix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_static_quant_test_en_5.1.4_3.4_1698394820936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_static_quant_test_en_5.1.4_3.4_1698394820936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst2_static_quant_test|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/echarlaix/bert-base-uncased-sst2-static-quant-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_sst_bin_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_sst_bin_en.md
new file mode 100644
index 000000000000..c38c87154a47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_sst_bin_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_sst_bin BertForSequenceClassification from jjezabek
+author: John Snow Labs
+name: bert_base_uncased_sst_bin
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst_bin` is a English model originally trained by jjezabek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst_bin_en_5.1.4_3.4_1698391623464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst_bin_en_5.1.4_3.4_1698391623464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst_bin|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jjezabek/bert-base-uncased-sst_bin
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_title_fine_tuned_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_title_fine_tuned_en.md
new file mode 100644
index 000000000000..4f15ab57cc44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_title_fine_tuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_title_fine_tuned BertForSequenceClassification from Izarel
+author: John Snow Labs
+name: bert_base_uncased_title_fine_tuned
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_title_fine_tuned` is a English model originally trained by Izarel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_title_fine_tuned_en_5.1.4_3.4_1698365619911.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_title_fine_tuned_en_5.1.4_3.4_1698365619911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_title_fine_tuned|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Izarel/bert-base-uncased_title_fine_tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_uhack_reviews_multilabel_clf_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_uhack_reviews_multilabel_clf_en.md
new file mode 100644
index 000000000000..33e62f675849
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_uhack_reviews_multilabel_clf_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_uhack_reviews_multilabel_clf BertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: bert_base_uncased_uhack_reviews_multilabel_clf
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_uhack_reviews_multilabel_clf` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_uhack_reviews_multilabel_clf_en_5.1.4_3.4_1698366363705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_uhack_reviews_multilabel_clf_en_5.1.4_3.4_1698366363705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_uhack_reviews_multilabel_clf|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/bert-base-uncased-uHack_reviews_multilabel_clf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_yelp_bin_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_yelp_bin_en.md
new file mode 100644
index 000000000000..0fcd6268a58b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_base_uncased_yelp_bin_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_yelp_bin BertForSequenceClassification from jjezabek
+author: John Snow Labs
+name: bert_base_uncased_yelp_bin
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_yelp_bin` is a English model originally trained by jjezabek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_yelp_bin_en_5.1.4_3.4_1698392659480.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_yelp_bin_en_5.1.4_3.4_1698392659480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_yelp_bin|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jjezabek/bert-base-uncased-yelp_bin
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_classification_experience_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_classification_experience_en.md
new file mode 100644
index 000000000000..df5ad6823185
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_classification_experience_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_classification_experience BertForSequenceClassification from Donaldbassa
+author: John Snow Labs
+name: bert_classification_experience
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classification_experience` is a English model originally trained by Donaldbassa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classification_experience_en_5.1.4_3.4_1698377612459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classification_experience_en_5.1.4_3.4_1698377612459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classification_experience|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Donaldbassa/bert-classification-experience
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_classification_text_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_classification_text_en.md
new file mode 100644
index 000000000000..2656174a3571
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_classification_text_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_classification_text BertForSequenceClassification from Donaldbassa
+author: John Snow Labs
+name: bert_classification_text
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classification_text` is a English model originally trained by Donaldbassa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classification_text_en_5.1.4_3.4_1698380939200.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classification_text_en_5.1.4_3.4_1698380939200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classification_text|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Donaldbassa/bert-classification-text
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_classifier_amitkayal_finetuned_semitic_languages_eval_english_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_classifier_amitkayal_finetuned_semitic_languages_eval_english_en.md
new file mode 100644
index 000000000000..589d63bb2cb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_classifier_amitkayal_finetuned_semitic_languages_eval_english_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_classifier_amitkayal_finetuned_semitic_languages_eval_english BertForSequenceClassification from amitkayal
+author: John Snow Labs
+name: bert_classifier_amitkayal_finetuned_semitic_languages_eval_english
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classifier_amitkayal_finetuned_semitic_languages_eval_english` is a English model originally trained by amitkayal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_amitkayal_finetuned_semitic_languages_eval_english_en_5.1.4_3.4_1698375858566.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_amitkayal_finetuned_semitic_languages_eval_english_en_5.1.4_3.4_1698375858566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_amitkayal_finetuned_semitic_languages_eval_english|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/amitkayal/bert-finetuned-sem_eval-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_classifier_base_german_cased_hatespeech_germeval18coarse_de.md b/docs/_posts/ahmedlone127/2023-10-27-bert_classifier_base_german_cased_hatespeech_germeval18coarse_de.md
new file mode 100644
index 000000000000..30eaee64b909
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_classifier_base_german_cased_hatespeech_germeval18coarse_de.md
@@ -0,0 +1,107 @@
+---
+layout: model
+title: German BertForSequenceClassification Base Cased model (from deepset)
+author: John Snow Labs
+name: bert_classifier_base_german_cased_hatespeech_germeval18coarse
+date: 2023-10-27
+tags: [bert, sequence_classification, classification, open_source, de, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-german-cased-hatespeech-GermEval18Coarse` is a German model originally trained by `deepset`.
+
+## Predicted Entities
+
+`OTHER`, `OFFENSE`
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_base_german_cased_hatespeech_germeval18coarse_de_5.1.4_3.4_1698382927007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_base_german_cased_hatespeech_germeval18coarse_de_5.1.4_3.4_1698382927007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cn_finetuning_chihao|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/chihao/bert_cn_finetuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_cvs_estimation_years_experience_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_cvs_estimation_years_experience_en.md
new file mode 100644
index 000000000000..1dfa6489b9bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_cvs_estimation_years_experience_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_cvs_estimation_years_experience BertForSequenceClassification from jhonparra18
+author: John Snow Labs
+name: bert_cvs_estimation_years_experience
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_cvs_estimation_years_experience` is a English model originally trained by jhonparra18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cvs_estimation_years_experience_en_5.1.4_3.4_1698373784156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cvs_estimation_years_experience_en_5.1.4_3.4_1698373784156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cvs_estimation_years_experience|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/jhonparra18/bert-cvs-estimation-years-experience
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_emo_classifier_manirathinam21_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_emo_classifier_manirathinam21_en.md
new file mode 100644
index 000000000000..ac6b1cc29455
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_emo_classifier_manirathinam21_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_emo_classifier_manirathinam21 BertForSequenceClassification from Manirathinam21
+author: John Snow Labs
+name: bert_emo_classifier_manirathinam21
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emo_classifier_manirathinam21` is a English model originally trained by Manirathinam21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emo_classifier_manirathinam21_en_5.1.4_3.4_1698379836709.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emo_classifier_manirathinam21_en_5.1.4_3.4_1698379836709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emo_classifier_manirathinam21|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Manirathinam21/bert_emo_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_fine_tuned_cola_khaledab2023_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_fine_tuned_cola_khaledab2023_en.md
new file mode 100644
index 000000000000..29f369baf3fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_fine_tuned_cola_khaledab2023_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_fine_tuned_cola_khaledab2023 BertForSequenceClassification from KhaledAB2023
+author: John Snow Labs
+name: bert_fine_tuned_cola_khaledab2023
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_fine_tuned_cola_khaledab2023` is a English model originally trained by KhaledAB2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_khaledab2023_en_5.1.4_3.4_1698376944769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_cola_khaledab2023_en_5.1.4_3.4_1698376944769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_fine_tuned_cola_khaledab2023|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/KhaledAB2023/bert-fine-tuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_fined_tunned_model_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_fined_tunned_model_en.md
new file mode 100644
index 000000000000..0ce39ba095d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_fined_tunned_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_fined_tunned_model BertForSequenceClassification from Dewa
+author: John Snow Labs
+name: bert_fined_tunned_model
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_fined_tunned_model` is a English model originally trained by Dewa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_fined_tunned_model_en_5.1.4_3.4_1698386884689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_fined_tunned_model_en_5.1.4_3.4_1698386884689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_fined_tunned_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Dewa/bert-fined-tunned-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_finetuned_rottentomatoes_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_finetuned_rottentomatoes_en.md
new file mode 100644
index 000000000000..7fa9aa77ba12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_finetuned_rottentomatoes_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_finetuned_rottentomatoes BertForSequenceClassification from flowfree
+author: John Snow Labs
+name: bert_finetuned_rottentomatoes
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_rottentomatoes` is a English model originally trained by flowfree.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_rottentomatoes_en_5.1.4_3.4_1698370759242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_rottentomatoes_en_5.1.4_3.4_1698370759242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_rottentomatoes|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/flowfree/bert-finetuned-rottentomatoes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_finetuned_semitic_languages_eval_english_rajueee_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_finetuned_semitic_languages_eval_english_rajueee_en.md
new file mode 100644
index 000000000000..61142ca680c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_finetuned_semitic_languages_eval_english_rajueee_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_finetuned_semitic_languages_eval_english_rajueee BertForSequenceClassification from RajuEEE
+author: John Snow Labs
+name: bert_finetuned_semitic_languages_eval_english_rajueee
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_semitic_languages_eval_english_rajueee` is a English model originally trained by RajuEEE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_rajueee_en_5.1.4_3.4_1698365277340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_semitic_languages_eval_english_rajueee_en_5.1.4_3.4_1698365277340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_semitic_languages_eval_english_rajueee|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/RajuEEE/bert-finetuned-sem_eval-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_finetuning_test_chenqian_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_finetuning_test_chenqian_en.md
new file mode 100644
index 000000000000..de0663a86649
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_finetuning_test_chenqian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_finetuning_test_chenqian BertForSequenceClassification from chenqian
+author: John Snow Labs
+name: bert_finetuning_test_chenqian
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuning_test_chenqian` is a English model originally trained by chenqian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_chenqian_en_5.1.4_3.4_1698364900889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuning_test_chenqian_en_5.1.4_3.4_1698364900889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuning_test_chenqian|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/chenqian/bert_finetuning_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_gptdataset_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_gptdataset_en.md
new file mode 100644
index 000000000000..c6a1ed36227e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_gptdataset_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_gptdataset BertForSequenceClassification from Babak-Behkamkia
+author: John Snow Labs
+name: bert_gptdataset
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_gptdataset` is a English model originally trained by Babak-Behkamkia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_gptdataset_en_5.1.4_3.4_1698374359684.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_gptdataset_en_5.1.4_3.4_1698374359684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_finnish_cased_toxicity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|fi|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/TurkuNLP/bert-large-finnish-cased-toxicity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_large_uncased_financial_phrasebank_allagree2_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_large_uncased_financial_phrasebank_allagree2_en.md
new file mode 100644
index 000000000000..fc2b425a208b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_large_uncased_financial_phrasebank_allagree2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_financial_phrasebank_allagree2 BertForSequenceClassification from Farshid
+author: John Snow Labs
+name: bert_large_uncased_financial_phrasebank_allagree2
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_financial_phrasebank_allagree2` is a English model originally trained by Farshid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_financial_phrasebank_allagree2_en_5.1.4_3.4_1698372649990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_financial_phrasebank_allagree2_en_5.1.4_3.4_1698372649990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_financial_phrasebank_allagree2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Farshid/bert-large-uncased-financial-phrasebank-allagree2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_large_uncased_whole_word_masking_finetuned_sst_2_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_large_uncased_whole_word_masking_finetuned_sst_2_en.md
new file mode 100644
index 000000000000..65a02b712e91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_large_uncased_whole_word_masking_finetuned_sst_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_whole_word_masking_finetuned_sst_2 BertForSequenceClassification from echarlaix
+author: John Snow Labs
+name: bert_large_uncased_whole_word_masking_finetuned_sst_2
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_whole_word_masking_finetuned_sst_2` is a English model originally trained by echarlaix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_whole_word_masking_finetuned_sst_2_en_5.1.4_3.4_1698396187782.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_whole_word_masking_finetuned_sst_2_en_5.1.4_3.4_1698396187782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_whole_word_masking_finetuned_sst_2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/echarlaix/bert-large-uncased-whole-word-masking-finetuned-sst-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_lli_gptdetetor_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_lli_gptdetetor_en.md
new file mode 100644
index 000000000000..cab3446aedf0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_lli_gptdetetor_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_lli_gptdetetor BertForSequenceClassification from Nintw923
+author: John Snow Labs
+name: bert_lli_gptdetetor
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_lli_gptdetetor` is a English model originally trained by Nintw923.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_lli_gptdetetor_en_5.1.4_3.4_1698390698398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_lli_gptdetetor_en_5.1.4_3.4_1698390698398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_lli_gptdetetor|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Nintw923/bert-lli-gptdetetor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_mini_sst2_distilled_sparse_90_1x4_block_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_mini_sst2_distilled_sparse_90_1x4_block_en.md
new file mode 100644
index 000000000000..581ee1f8552b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_mini_sst2_distilled_sparse_90_1x4_block_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_mini_sst2_distilled_sparse_90_1x4_block BertForSequenceClassification from Intel
+author: John Snow Labs
+name: bert_mini_sst2_distilled_sparse_90_1x4_block
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mini_sst2_distilled_sparse_90_1x4_block` is a English model originally trained by Intel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mini_sst2_distilled_sparse_90_1x4_block_en_5.1.4_3.4_1698384313741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mini_sst2_distilled_sparse_90_1x4_block_en_5.1.4_3.4_1698384313741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_multilingual_passage_reranking_msmarco_fluid_ai|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/fluid-ai/bert-multilingual-passage-reranking-msmarco
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_mydataset_vast_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_mydataset_vast_en.md
new file mode 100644
index 000000000000..fa2d990d543d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_mydataset_vast_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_mydataset_vast BertForSequenceClassification from Babak-Behkamkia
+author: John Snow Labs
+name: bert_mydataset_vast
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mydataset_vast` is a English model originally trained by Babak-Behkamkia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mydataset_vast_en_5.1.4_3.4_1698387764990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mydataset_vast_en_5.1.4_3.4_1698387764990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mydataset_vast|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Babak-Behkamkia/bert_mydataset_VAST
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_en.md
new file mode 100644
index 000000000000..f9b942048cf0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_small_finetuned_eoir_privacy BertForSequenceClassification from muhtasham
+author: John Snow Labs
+name: bert_small_finetuned_eoir_privacy
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_small_finetuned_eoir_privacy` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_eoir_privacy_en_5.1.4_3.4_1698380605530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_eoir_privacy_en_5.1.4_3.4_1698380605530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_finetuned_eoir_privacy|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|107.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-finetuned-eoir_privacy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_longer10_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_longer10_en.md
new file mode 100644
index 000000000000..48f8076f3835
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_longer10_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_small_finetuned_eoir_privacy_longer10 BertForSequenceClassification from muhtasham
+author: John Snow Labs
+name: bert_small_finetuned_eoir_privacy_longer10
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_small_finetuned_eoir_privacy_longer10` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_eoir_privacy_longer10_en_5.1.4_3.4_1698381602797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_eoir_privacy_longer10_en_5.1.4_3.4_1698381602797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_finetuned_eoir_privacy_longer10|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|107.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-finetuned-eoir_privacy-longer10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_longer20_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_longer20_en.md
new file mode 100644
index 000000000000..528d7f0863fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_longer20_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_small_finetuned_eoir_privacy_longer20 BertForSequenceClassification from muhtasham
+author: John Snow Labs
+name: bert_small_finetuned_eoir_privacy_longer20
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_small_finetuned_eoir_privacy_longer20` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_eoir_privacy_longer20_en_5.1.4_3.4_1698382251783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_eoir_privacy_longer20_en_5.1.4_3.4_1698382251783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_finetuned_eoir_privacy_longer20|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|107.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-finetuned-eoir_privacy-longer20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_longer30_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_longer30_en.md
new file mode 100644
index 000000000000..88f66c06cfc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_small_finetuned_eoir_privacy_longer30_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_small_finetuned_eoir_privacy_longer30 BertForSequenceClassification from muhtasham
+author: John Snow Labs
+name: bert_small_finetuned_eoir_privacy_longer30
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_small_finetuned_eoir_privacy_longer30` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_eoir_privacy_longer30_en_5.1.4_3.4_1698382833161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_eoir_privacy_longer30_en_5.1.4_3.4_1698382833161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_finetuned_eoir_privacy_longer30|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|107.9 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-finetuned-eoir-privacy-longer30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-bert_vast_long3_en.md b/docs/_posts/ahmedlone127/2023-10-27-bert_vast_long3_en.md
new file mode 100644
index 000000000000..ad76c280e5e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-bert_vast_long3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_vast_long3 BertForSequenceClassification from Babak-Behkamkia
+author: John Snow Labs
+name: bert_vast_long3
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_vast_long3` is a English model originally trained by Babak-Behkamkia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_vast_long3_en_5.1.4_3.4_1698367200495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_vast_long3_en_5.1.4_3.4_1698367200495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertimbau_products_reviews_portuguese_breton|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ramonmedeiro1/bertimbau-products-reviews-pt-br
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-biobert_large_cased_v1_1_mnli_en.md b/docs/_posts/ahmedlone127/2023-10-27-biobert_large_cased_v1_1_mnli_en.md
new file mode 100644
index 000000000000..0c2d57a16559
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-biobert_large_cased_v1_1_mnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English biobert_large_cased_v1_1_mnli BertForSequenceClassification from dmis-lab
+author: John Snow Labs
+name: biobert_large_cased_v1_1_mnli
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_large_cased_v1_1_mnli` is a English model originally trained by dmis-lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_large_cased_v1_1_mnli_en_5.1.4_3.4_1698392025993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_large_cased_v1_1_mnli_en_5.1.4_3.4_1698392025993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_large_cased_v1_1_mnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/dmis-lab/biobert-large-cased-v1.1-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-biolinkbert_large_mnli_resampled_en.md b/docs/_posts/ahmedlone127/2023-10-27-biolinkbert_large_mnli_resampled_en.md
new file mode 100644
index 000000000000..cfbc55361074
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-biolinkbert_large_mnli_resampled_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English biolinkbert_large_mnli_resampled BertForSequenceClassification from cnut1648
+author: John Snow Labs
+name: biolinkbert_large_mnli_resampled
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biolinkbert_large_mnli_resampled` is a English model originally trained by cnut1648.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biolinkbert_large_mnli_resampled_en_5.1.4_3.4_1698365457050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biolinkbert_large_mnli_resampled_en_5.1.4_3.4_1698365457050.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biolinkbert_large_mnli_resampled|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/cnut1648/biolinkbert-large-mnli-resampled
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-cold_fusion_bert_base_uncased_itr23_seed0_finetuned_convincingness_ibm_en.md b/docs/_posts/ahmedlone127/2023-10-27-cold_fusion_bert_base_uncased_itr23_seed0_finetuned_convincingness_ibm_en.md
new file mode 100644
index 000000000000..a6105e08d06a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-cold_fusion_bert_base_uncased_itr23_seed0_finetuned_convincingness_ibm_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_bert_base_uncased_itr23_seed0_finetuned_convincingness_ibm BertForSequenceClassification from jakub014
+author: John Snow Labs
+name: cold_fusion_bert_base_uncased_itr23_seed0_finetuned_convincingness_ibm
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_bert_base_uncased_itr23_seed0_finetuned_convincingness_ibm` is a English model originally trained by jakub014.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr23_seed0_finetuned_convincingness_ibm_en_5.1.4_3.4_1698388674044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_bert_base_uncased_itr23_seed0_finetuned_convincingness_ibm_en_5.1.4_3.4_1698388674044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_bert_base_uncased_itr23_seed0_finetuned_convincingness_ibm|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jakub014/ColD-Fusion-bert-base-uncased-itr23-seed0-finetuned-convincingness-IBM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-covid19_mbert_fine_tune_model_en.md b/docs/_posts/ahmedlone127/2023-10-27-covid19_mbert_fine_tune_model_en.md
new file mode 100644
index 000000000000..5e64750f637d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-covid19_mbert_fine_tune_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid19_mbert_fine_tune_model BertForSequenceClassification from AbdoMamdouh
+author: John Snow Labs
+name: covid19_mbert_fine_tune_model
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid19_mbert_fine_tune_model` is a English model originally trained by AbdoMamdouh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid19_mbert_fine_tune_model_en_5.1.4_3.4_1698366369748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid19_mbert_fine_tune_model_en_5.1.4_3.4_1698366369748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid19_mbert_fine_tune_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/AbdoMamdouh/covid19_mbert_fine_tune_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-covid19_moh_bert_fine_tune_model_en.md b/docs/_posts/ahmedlone127/2023-10-27-covid19_moh_bert_fine_tune_model_en.md
new file mode 100644
index 000000000000..91598d86fe65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-covid19_moh_bert_fine_tune_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid19_moh_bert_fine_tune_model BertForSequenceClassification from AbdoMamdouh
+author: John Snow Labs
+name: covid19_moh_bert_fine_tune_model
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid19_moh_bert_fine_tune_model` is a English model originally trained by AbdoMamdouh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid19_moh_bert_fine_tune_model_en_5.1.4_3.4_1698368088110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid19_moh_bert_fine_tune_model_en_5.1.4_3.4_1698368088110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid19_moh_bert_fine_tune_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.2 MB|
+
+## References
+
+https://huggingface.co/AbdoMamdouh/covid19_moh_bert_fine_tune_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess2_en.md b/docs/_posts/ahmedlone127/2023-10-27-covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess2_en.md
new file mode 100644
index 000000000000..6d8f6173a43d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess2 BertForSequenceClassification from sumba
+author: John Snow Labs
+name: covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess2
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess2` is a English model originally trained by sumba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess2_en_5.1.4_3.4_1698369359322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess2_en_5.1.4_3.4_1698369359322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_twitter_bert_v2_norwegian_description_stance_loss_hyp_unprocess2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/sumba/covid-twitter-bert-v2-no_description-stance-loss-hyp-unprocess2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-dbert_eth2_en.md b/docs/_posts/ahmedlone127/2023-10-27-dbert_eth2_en.md
new file mode 100644
index 000000000000..639f713e4682
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-dbert_eth2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dbert_eth2 BertForSequenceClassification from baikal-nlp
+author: John Snow Labs
+name: dbert_eth2
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dbert_eth2` is a English model originally trained by baikal-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbert_eth2_en_5.1.4_3.4_1698387828550.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbert_eth2_en_5.1.4_3.4_1698387828550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbert_eth2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|423.4 MB|
+
+## References
+
+https://huggingface.co/baikal-nlp/dbert-eth2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-dbert_sentiment_en.md b/docs/_posts/ahmedlone127/2023-10-27-dbert_sentiment_en.md
new file mode 100644
index 000000000000..2f4836826438
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-dbert_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dbert_sentiment BertForSequenceClassification from baikal-nlp
+author: John Snow Labs
+name: dbert_sentiment
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dbert_sentiment` is a English model originally trained by baikal-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbert_sentiment_en_5.1.4_3.4_1698388655495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbert_sentiment_en_5.1.4_3.4_1698388655495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbert_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|423.4 MB|
+
+## References
+
+https://huggingface.co/baikal-nlp/dbert-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-dialog_sbert_base_en.md b/docs/_posts/ahmedlone127/2023-10-27-dialog_sbert_base_en.md
new file mode 100644
index 000000000000..19d4ac30227e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-dialog_sbert_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dialog_sbert_base BertForSequenceClassification from digit82
+author: John Snow Labs
+name: dialog_sbert_base
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dialog_sbert_base` is a English model originally trained by digit82.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dialog_sbert_base_en_5.1.4_3.4_1698389814293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dialog_sbert_base_en_5.1.4_3.4_1698389814293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dialog_sbert_base|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/digit82/dialog-sbert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-esci_us_bert_crossencoder_en.md b/docs/_posts/ahmedlone127/2023-10-27-esci_us_bert_crossencoder_en.md
new file mode 100644
index 000000000000..5ef985844118
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-esci_us_bert_crossencoder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English esci_us_bert_crossencoder BertForSequenceClassification from spacemanidol
+author: John Snow Labs
+name: esci_us_bert_crossencoder
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`esci_us_bert_crossencoder` is a English model originally trained by spacemanidol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esci_us_bert_crossencoder_en_5.1.4_3.4_1698370307661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esci_us_bert_crossencoder_en_5.1.4_3.4_1698370307661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esci_us_bert_crossencoder|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/spacemanidol/esci-us-bert-crossencoder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-feather_berts_1_connectivity_en.md b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_1_connectivity_en.md
new file mode 100644
index 000000000000..1a4c5d384458
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_1_connectivity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English feather_berts_1_connectivity BertForSequenceClassification from connectivity
+author: John Snow Labs
+name: feather_berts_1_connectivity
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feather_berts_1_connectivity` is a English model originally trained by connectivity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feather_berts_1_connectivity_en_5.1.4_3.4_1698393870625.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feather_berts_1_connectivity_en_5.1.4_3.4_1698393870625.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|feather_berts_1_connectivity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/connectivity/feather_berts_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-feather_berts_2_connectivity_en.md b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_2_connectivity_en.md
new file mode 100644
index 000000000000..6365f22d95e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_2_connectivity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English feather_berts_2_connectivity BertForSequenceClassification from connectivity
+author: John Snow Labs
+name: feather_berts_2_connectivity
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feather_berts_2_connectivity` is a English model originally trained by connectivity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feather_berts_2_connectivity_en_5.1.4_3.4_1698394689250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feather_berts_2_connectivity_en_5.1.4_3.4_1698394689250.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|feather_berts_2_connectivity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/connectivity/feather_berts_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-feather_berts_3_connectivity_en.md b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_3_connectivity_en.md
new file mode 100644
index 000000000000..bcfeede9af20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_3_connectivity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English feather_berts_3_connectivity BertForSequenceClassification from connectivity
+author: John Snow Labs
+name: feather_berts_3_connectivity
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feather_berts_3_connectivity` is a English model originally trained by connectivity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feather_berts_3_connectivity_en_5.1.4_3.4_1698395672309.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feather_berts_3_connectivity_en_5.1.4_3.4_1698395672309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|feather_berts_3_connectivity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/connectivity/feather_berts_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-feather_berts_4_connectivity_en.md b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_4_connectivity_en.md
new file mode 100644
index 000000000000..1d69664fbec2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_4_connectivity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English feather_berts_4_connectivity BertForSequenceClassification from connectivity
+author: John Snow Labs
+name: feather_berts_4_connectivity
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feather_berts_4_connectivity` is a English model originally trained by connectivity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feather_berts_4_connectivity_en_5.1.4_3.4_1698396507828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feather_berts_4_connectivity_en_5.1.4_3.4_1698396507828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|feather_berts_4_connectivity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/connectivity/feather_berts_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-feather_berts_5_connectivity_en.md b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_5_connectivity_en.md
new file mode 100644
index 000000000000..3c91b3c052d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_5_connectivity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English feather_berts_5_connectivity BertForSequenceClassification from connectivity
+author: John Snow Labs
+name: feather_berts_5_connectivity
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feather_berts_5_connectivity` is a English model originally trained by connectivity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feather_berts_5_connectivity_en_5.1.4_3.4_1698397197635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feather_berts_5_connectivity_en_5.1.4_3.4_1698397197635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|feather_berts_5_connectivity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/connectivity/feather_berts_5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-feather_berts_6_connectivity_en.md b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_6_connectivity_en.md
new file mode 100644
index 000000000000..0b61b8fa7f05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-feather_berts_6_connectivity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English feather_berts_6_connectivity BertForSequenceClassification from connectivity
+author: John Snow Labs
+name: feather_berts_6_connectivity
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feather_berts_6_connectivity` is a English model originally trained by connectivity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feather_berts_6_connectivity_en_5.1.4_3.4_1698398003861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feather_berts_6_connectivity_en_5.1.4_3.4_1698398003861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|feather_berts_6_connectivity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/connectivity/feather_berts_6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-fine_tune_bert_chinese_sent_analysis_en.md b/docs/_posts/ahmedlone127/2023-10-27-fine_tune_bert_chinese_sent_analysis_en.md
new file mode 100644
index 000000000000..ff02ebb987c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-fine_tune_bert_chinese_sent_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tune_bert_chinese_sent_analysis BertForSequenceClassification from Ayazhankad
+author: John Snow Labs
+name: fine_tune_bert_chinese_sent_analysis
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_bert_chinese_sent_analysis` is a English model originally trained by Ayazhankad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_bert_chinese_sent_analysis_en_5.1.4_3.4_1698388354679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_bert_chinese_sent_analysis_en_5.1.4_3.4_1698388354679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_bert_chinese_sent_analysis|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/Ayazhankad/fine-tune-bert-chinese-sent-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-fine_tuned_bert_financial_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-10-27-fine_tuned_bert_financial_sentiment_analysis_en.md
new file mode 100644
index 000000000000..b0648dcce47a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-fine_tuned_bert_financial_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tuned_bert_financial_sentiment_analysis BertForSequenceClassification from mstafam
+author: John Snow Labs
+name: fine_tuned_bert_financial_sentiment_analysis
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_bert_financial_sentiment_analysis` is a English model originally trained by mstafam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_financial_sentiment_analysis_en_5.1.4_3.4_1698385344128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_bert_financial_sentiment_analysis_en_5.1.4_3.4_1698385344128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_bert_financial_sentiment_analysis|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/mstafam/fine-tuned-bert-financial-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-finetuned_bert_injection_en.md b/docs/_posts/ahmedlone127/2023-10-27-finetuned_bert_injection_en.md
new file mode 100644
index 000000000000..55e800719fa7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-finetuned_bert_injection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_bert_injection BertForSequenceClassification from benediktpri
+author: John Snow Labs
+name: finetuned_bert_injection
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bert_injection` is a English model originally trained by benediktpri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_injection_en_5.1.4_3.4_1698383017889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_injection_en_5.1.4_3.4_1698383017889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_injection|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/benediktpri/finetuned_bert_injection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-gbert_large_sts_de.md b/docs/_posts/ahmedlone127/2023-10-27-gbert_large_sts_de.md
new file mode 100644
index 000000000000..5fcff8681779
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-gbert_large_sts_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German gbert_large_sts BertForSequenceClassification from deepset
+author: John Snow Labs
+name: gbert_large_sts
+date: 2023-10-27
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gbert_large_sts` is a German model originally trained by deepset.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gbert_large_sts_de_5.1.4_3.4_1698386803587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gbert_large_sts_de_5.1.4_3.4_1698386803587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gbert_large_sts|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/deepset/gbert-large-sts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-hubert_base_cc_finance_filter_en.md b/docs/_posts/ahmedlone127/2023-10-27-hubert_base_cc_finance_filter_en.md
new file mode 100644
index 000000000000..49141d592608
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-hubert_base_cc_finance_filter_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hubert_base_cc_finance_filter BertForSequenceClassification from papsebestyen
+author: John Snow Labs
+name: hubert_base_cc_finance_filter
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hubert_base_cc_finance_filter` is a English model originally trained by papsebestyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hubert_base_cc_finance_filter_en_5.1.4_3.4_1698388598046.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hubert_base_cc_finance_filter_en_5.1.4_3.4_1698388598046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hubert_base_cc_finance_filter|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/papsebestyen/hubert-base-cc-finance-filter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-interview_ratings_bert_en.md b/docs/_posts/ahmedlone127/2023-10-27-interview_ratings_bert_en.md
new file mode 100644
index 000000000000..24d76b8cf69d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-interview_ratings_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English interview_ratings_bert BertForSequenceClassification from csatapathy
+author: John Snow Labs
+name: interview_ratings_bert
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`interview_ratings_bert` is a English model originally trained by csatapathy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/interview_ratings_bert_en_5.1.4_3.4_1698381906548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/interview_ratings_bert_en_5.1.4_3.4_1698381906548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|interview_ratings_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/csatapathy/interview-ratings-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-long_feather_bert_ft_mnli_0_en.md b/docs/_posts/ahmedlone127/2023-10-27-long_feather_bert_ft_mnli_0_en.md
new file mode 100644
index 000000000000..a3e0eb07e3e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-long_feather_bert_ft_mnli_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English long_feather_bert_ft_mnli_0 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: long_feather_bert_ft_mnli_0
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`long_feather_bert_ft_mnli_0` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/long_feather_bert_ft_mnli_0_en_5.1.4_3.4_1698367200920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/long_feather_bert_ft_mnli_0_en_5.1.4_3.4_1698367200920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|long_feather_bert_ft_mnli_0|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/long_feather_bert_ft_mnli-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-long_feather_bert_ft_mnli_1_en.md b/docs/_posts/ahmedlone127/2023-10-27-long_feather_bert_ft_mnli_1_en.md
new file mode 100644
index 000000000000..8f4d7d81c6cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-long_feather_bert_ft_mnli_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English long_feather_bert_ft_mnli_1 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: long_feather_bert_ft_mnli_1
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`long_feather_bert_ft_mnli_1` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/long_feather_bert_ft_mnli_1_en_5.1.4_3.4_1698366417720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/long_feather_bert_ft_mnli_1_en_5.1.4_3.4_1698366417720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|long_feather_bert_ft_mnli_1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/long_feather_bert_ft_mnli-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-long_feather_bert_ft_mnli_2_en.md b/docs/_posts/ahmedlone127/2023-10-27-long_feather_bert_ft_mnli_2_en.md
new file mode 100644
index 000000000000..bac9459d26d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-long_feather_bert_ft_mnli_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English long_feather_bert_ft_mnli_2 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: long_feather_bert_ft_mnli_2
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`long_feather_bert_ft_mnli_2` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/long_feather_bert_ft_mnli_2_en_5.1.4_3.4_1698368006797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/long_feather_bert_ft_mnli_2_en_5.1.4_3.4_1698368006797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|long_feather_bert_ft_mnli_2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/long_feather_bert_ft_mnli-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-matbert_bandgap_en.md b/docs/_posts/ahmedlone127/2023-10-27-matbert_bandgap_en.md
new file mode 100644
index 000000000000..c26fc655cdb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-matbert_bandgap_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English matbert_bandgap BertForSequenceClassification from korolewadim
+author: John Snow Labs
+name: matbert_bandgap
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`matbert_bandgap` is a English model originally trained by korolewadim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/matbert_bandgap_en_5.1.4_3.4_1698369845877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/matbert_bandgap_en_5.1.4_3.4_1698369845877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|matbert_bandgap|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.5 MB|
+
+## References
+
+https://huggingface.co/korolewadim/matbert-bandgap
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_arabic_en.md b/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_arabic_en.md
new file mode 100644
index 000000000000..92bac208b193
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_arabic_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mbert_base_tweet_sentiment_arabic BertForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: mbert_base_tweet_sentiment_arabic
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_base_tweet_sentiment_arabic` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_base_tweet_sentiment_arabic_en_5.1.4_3.4_1698382866105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_base_tweet_sentiment_arabic_en_5.1.4_3.4_1698382866105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_base_tweet_sentiment_arabic|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/mbert-base-tweet-sentiment-ar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_french_en.md b/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_french_en.md
new file mode 100644
index 000000000000..507bac418be8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_french_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mbert_base_tweet_sentiment_french BertForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: mbert_base_tweet_sentiment_french
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_base_tweet_sentiment_french` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_base_tweet_sentiment_french_en_5.1.4_3.4_1698379699843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_base_tweet_sentiment_french_en_5.1.4_3.4_1698379699843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_base_tweet_sentiment_french|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/mbert-base-tweet-sentiment-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_italian_en.md b/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_italian_en.md
new file mode 100644
index 000000000000..b47a02663713
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_italian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mbert_base_tweet_sentiment_italian BertForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: mbert_base_tweet_sentiment_italian
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_base_tweet_sentiment_italian` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_base_tweet_sentiment_italian_en_5.1.4_3.4_1698383973608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_base_tweet_sentiment_italian_en_5.1.4_3.4_1698383973608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_base_tweet_sentiment_italian|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/mbert-base-tweet-sentiment-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_portuguese_en.md b/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_portuguese_en.md
new file mode 100644
index 000000000000..2986ced6b7ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-mbert_base_tweet_sentiment_portuguese_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mbert_base_tweet_sentiment_portuguese BertForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: mbert_base_tweet_sentiment_portuguese
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_base_tweet_sentiment_portuguese` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_base_tweet_sentiment_portuguese_en_5.1.4_3.4_1698381906712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_base_tweet_sentiment_portuguese_en_5.1.4_3.4_1698381906712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_base_tweet_sentiment_portuguese|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/mbert-base-tweet-sentiment-pt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-mbert_lr3e_05_wr0_1_optimadamw_hf_wd0_1_en.md b/docs/_posts/ahmedlone127/2023-10-27-mbert_lr3e_05_wr0_1_optimadamw_hf_wd0_1_en.md
new file mode 100644
index 000000000000..20342349524b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-mbert_lr3e_05_wr0_1_optimadamw_hf_wd0_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mbert_lr3e_05_wr0_1_optimadamw_hf_wd0_1 BertForSequenceClassification from karolill
+author: John Snow Labs
+name: mbert_lr3e_05_wr0_1_optimadamw_hf_wd0_1
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_lr3e_05_wr0_1_optimadamw_hf_wd0_1` is a English model originally trained by karolill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_lr3e_05_wr0_1_optimadamw_hf_wd0_1_en_5.1.4_3.4_1698385786028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_lr3e_05_wr0_1_optimadamw_hf_wd0_1_en_5.1.4_3.4_1698385786028.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_lr3e_05_wr0_1_optimadamw_hf_wd0_1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/karolill/mbert_LR3e-05_WR0.1_OPTIMadamw_hf_WD0.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_0_crows_pairs_classifieronly_en.md b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_0_crows_pairs_classifieronly_en.md
new file mode 100644
index 000000000000..c1a3df28fcce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_0_crows_pairs_classifieronly_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English multiberts_seed_0_crows_pairs_classifieronly BertForSequenceClassification from asun17904
+author: John Snow Labs
+name: multiberts_seed_0_crows_pairs_classifieronly
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multiberts_seed_0_crows_pairs_classifieronly` is a English model originally trained by asun17904.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multiberts_seed_0_crows_pairs_classifieronly_en_5.1.4_3.4_1698392985989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multiberts_seed_0_crows_pairs_classifieronly_en_5.1.4_3.4_1698392985989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multiberts_seed_0_crows_pairs_classifieronly|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.1 MB|
+
+## References
+
+https://huggingface.co/asun17904/multiberts-seed_0_crows_pairs_classifieronly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_0_stereoset_classifieronly_en.md b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_0_stereoset_classifieronly_en.md
new file mode 100644
index 000000000000..37661159df59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_0_stereoset_classifieronly_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English multiberts_seed_0_stereoset_classifieronly BertForSequenceClassification from asun17904
+author: John Snow Labs
+name: multiberts_seed_0_stereoset_classifieronly
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multiberts_seed_0_stereoset_classifieronly` is a English model originally trained by asun17904.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multiberts_seed_0_stereoset_classifieronly_en_5.1.4_3.4_1698396508153.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multiberts_seed_0_stereoset_classifieronly_en_5.1.4_3.4_1698396508153.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multiberts_seed_0_stereoset_classifieronly|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.1 MB|
+
+## References
+
+https://huggingface.co/asun17904/multiberts-seed_0_stereoset_classifieronly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_0_winobias_classifieronly_en.md b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_0_winobias_classifieronly_en.md
new file mode 100644
index 000000000000..9060cf543f5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_0_winobias_classifieronly_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English multiberts_seed_0_winobias_classifieronly BertForSequenceClassification from asun17904
+author: John Snow Labs
+name: multiberts_seed_0_winobias_classifieronly
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multiberts_seed_0_winobias_classifieronly` is a English model originally trained by asun17904.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multiberts_seed_0_winobias_classifieronly_en_5.1.4_3.4_1698397201883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multiberts_seed_0_winobias_classifieronly_en_5.1.4_3.4_1698397201883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multiberts_seed_0_winobias_classifieronly|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.1 MB|
+
+## References
+
+https://huggingface.co/asun17904/multiberts-seed_0_winobias_classifieronly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_1_crows_pairs_classifieronly_en.md b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_1_crows_pairs_classifieronly_en.md
new file mode 100644
index 000000000000..ac6fde9d12b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_1_crows_pairs_classifieronly_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English multiberts_seed_1_crows_pairs_classifieronly BertForSequenceClassification from asun17904
+author: John Snow Labs
+name: multiberts_seed_1_crows_pairs_classifieronly
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multiberts_seed_1_crows_pairs_classifieronly` is a English model originally trained by asun17904.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multiberts_seed_1_crows_pairs_classifieronly_en_5.1.4_3.4_1698394690502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multiberts_seed_1_crows_pairs_classifieronly_en_5.1.4_3.4_1698394690502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multiberts_seed_1_crows_pairs_classifieronly|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.2 MB|
+
+## References
+
+https://huggingface.co/asun17904/multiberts-seed_1_crows_pairs_classifieronly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_1_stereoset_classifieronly_en.md b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_1_stereoset_classifieronly_en.md
new file mode 100644
index 000000000000..17c63cac77e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_1_stereoset_classifieronly_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English multiberts_seed_1_stereoset_classifieronly BertForSequenceClassification from asun17904
+author: John Snow Labs
+name: multiberts_seed_1_stereoset_classifieronly
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multiberts_seed_1_stereoset_classifieronly` is a English model originally trained by asun17904.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multiberts_seed_1_stereoset_classifieronly_en_5.1.4_3.4_1698392031329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multiberts_seed_1_stereoset_classifieronly_en_5.1.4_3.4_1698392031329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multiberts_seed_1_stereoset_classifieronly|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.2 MB|
+
+## References
+
+https://huggingface.co/asun17904/multiberts-seed_1_stereoset_classifieronly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_1_winobias_classifieronly_en.md b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_1_winobias_classifieronly_en.md
new file mode 100644
index 000000000000..4351405e57a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-multiberts_seed_1_winobias_classifieronly_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English multiberts_seed_1_winobias_classifieronly BertForSequenceClassification from asun17904
+author: John Snow Labs
+name: multiberts_seed_1_winobias_classifieronly
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multiberts_seed_1_winobias_classifieronly` is a English model originally trained by asun17904.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multiberts_seed_1_winobias_classifieronly_en_5.1.4_3.4_1698393870919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multiberts_seed_1_winobias_classifieronly_en_5.1.4_3.4_1698393870919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multiberts_seed_1_winobias_classifieronly|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.2 MB|
+
+## References
+
+https://huggingface.co/asun17904/multiberts-seed_1_winobias_classifieronly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-nlp_bert_emo_classifier_en.md b/docs/_posts/ahmedlone127/2023-10-27-nlp_bert_emo_classifier_en.md
new file mode 100644
index 000000000000..a291ac2f8826
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-nlp_bert_emo_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_bert_emo_classifier BertForSequenceClassification from Jateendra
+author: John Snow Labs
+name: nlp_bert_emo_classifier
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_bert_emo_classifier` is a English model originally trained by Jateendra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_bert_emo_classifier_en_5.1.4_3.4_1698374678183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_bert_emo_classifier_en_5.1.4_3.4_1698374678183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_bert_emo_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jateendra/nlp_bert_emo_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-norbert_lr5e_05_wr0_optimadamw_hf_wd0_01_en.md b/docs/_posts/ahmedlone127/2023-10-27-norbert_lr5e_05_wr0_optimadamw_hf_wd0_01_en.md
new file mode 100644
index 000000000000..7af658842fb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-norbert_lr5e_05_wr0_optimadamw_hf_wd0_01_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English norbert_lr5e_05_wr0_optimadamw_hf_wd0_01 BertForSequenceClassification from karolill
+author: John Snow Labs
+name: norbert_lr5e_05_wr0_optimadamw_hf_wd0_01
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`norbert_lr5e_05_wr0_optimadamw_hf_wd0_01` is a English model originally trained by karolill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norbert_lr5e_05_wr0_optimadamw_hf_wd0_01_en_5.1.4_3.4_1698373791974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norbert_lr5e_05_wr0_optimadamw_hf_wd0_01_en_5.1.4_3.4_1698373791974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|norbert_lr5e_05_wr0_optimadamw_hf_wd0_01|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.4 MB|
+
+## References
+
+https://huggingface.co/karolill/norbert_LR5e-05_WR0_OPTIMadamw_hf_WD0.01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-qs_classifier_bert_en.md b/docs/_posts/ahmedlone127/2023-10-27-qs_classifier_bert_en.md
new file mode 100644
index 000000000000..b772c40806a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-qs_classifier_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English qs_classifier_bert BertForSequenceClassification from asvs
+author: John Snow Labs
+name: qs_classifier_bert
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qs_classifier_bert` is a English model originally trained by asvs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qs_classifier_bert_en_5.1.4_3.4_1698371134901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qs_classifier_bert_en_5.1.4_3.4_1698371134901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qs_classifier_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/asvs/qs-classifier-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-rubert_base_cased_sentence_finetuned_headlines_x_en.md b/docs/_posts/ahmedlone127/2023-10-27-rubert_base_cased_sentence_finetuned_headlines_x_en.md
new file mode 100644
index 000000000000..a98a6f253135
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-rubert_base_cased_sentence_finetuned_headlines_x_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rubert_base_cased_sentence_finetuned_headlines_x BertForSequenceClassification from chrommium
+author: John Snow Labs
+name: rubert_base_cased_sentence_finetuned_headlines_x
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_base_cased_sentence_finetuned_headlines_x` is a English model originally trained by chrommium.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_base_cased_sentence_finetuned_headlines_x_en_5.1.4_3.4_1698368576830.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_base_cased_sentence_finetuned_headlines_x_en_5.1.4_3.4_1698368576830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_base_cased_sentence_finetuned_headlines_x|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/chrommium/rubert-base-cased-sentence-finetuned-headlines_X
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-rubert_base_cased_sentence_finetuned_sent_in_news_sents_en.md b/docs/_posts/ahmedlone127/2023-10-27-rubert_base_cased_sentence_finetuned_sent_in_news_sents_en.md
new file mode 100644
index 000000000000..301334c1da78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-rubert_base_cased_sentence_finetuned_sent_in_news_sents_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rubert_base_cased_sentence_finetuned_sent_in_news_sents BertForSequenceClassification from chrommium
+author: John Snow Labs
+name: rubert_base_cased_sentence_finetuned_sent_in_news_sents
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_base_cased_sentence_finetuned_sent_in_news_sents` is a English model originally trained by chrommium.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_base_cased_sentence_finetuned_sent_in_news_sents_en_5.1.4_3.4_1698369752189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_base_cased_sentence_finetuned_sent_in_news_sents_en_5.1.4_3.4_1698369752189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_base_cased_sentence_finetuned_sent_in_news_sents|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/chrommium/rubert-base-cased-sentence-finetuned-sent_in_news_sents
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-rubert_base_cased_sentence_finetuned_sent_in_russian_en.md b/docs/_posts/ahmedlone127/2023-10-27-rubert_base_cased_sentence_finetuned_sent_in_russian_en.md
new file mode 100644
index 000000000000..ec4a76426d13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-rubert_base_cased_sentence_finetuned_sent_in_russian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rubert_base_cased_sentence_finetuned_sent_in_russian BertForSequenceClassification from chrommium
+author: John Snow Labs
+name: rubert_base_cased_sentence_finetuned_sent_in_russian
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_base_cased_sentence_finetuned_sent_in_russian` is a English model originally trained by chrommium.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_base_cased_sentence_finetuned_sent_in_russian_en_5.1.4_3.4_1698371037937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_base_cased_sentence_finetuned_sent_in_russian_en_5.1.4_3.4_1698371037937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_conversational_sentiment_balanced|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/sunny3/rubert-conversational-sentiment-balanced
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-rubert_tiny2_finetuned_emotion_experiment_en.md b/docs/_posts/ahmedlone127/2023-10-27-rubert_tiny2_finetuned_emotion_experiment_en.md
new file mode 100644
index 000000000000..efa8ea61447e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-rubert_tiny2_finetuned_emotion_experiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rubert_tiny2_finetuned_emotion_experiment BertForSequenceClassification from mmillet
+author: John Snow Labs
+name: rubert_tiny2_finetuned_emotion_experiment
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_tiny2_finetuned_emotion_experiment` is a English model originally trained by mmillet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny2_finetuned_emotion_experiment_en_5.1.4_3.4_1698390581874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny2_finetuned_emotion_experiment_en_5.1.4_3.4_1698390581874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny2_finetuned_emotion_experiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/mmillet/rubert-tiny2_finetuned_emotion_experiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-rubert_tiny2_insp_en.md b/docs/_posts/ahmedlone127/2023-10-27-rubert_tiny2_insp_en.md
new file mode 100644
index 000000000000..6c839468fa4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-rubert_tiny2_insp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rubert_tiny2_insp BertForSequenceClassification from RegBel
+author: John Snow Labs
+name: rubert_tiny2_insp
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_tiny2_insp` is a English model originally trained by RegBel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny2_insp_en_5.1.4_3.4_1698372062901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny2_insp_en_5.1.4_3.4_1698372062901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny2_insp|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/RegBel/rubert-tiny2-insp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-sbert_large_finetuned_sent_in_news_sents_3lab_en.md b/docs/_posts/ahmedlone127/2023-10-27-sbert_large_finetuned_sent_in_news_sents_3lab_en.md
new file mode 100644
index 000000000000..ccefb805c65a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-sbert_large_finetuned_sent_in_news_sents_3lab_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sbert_large_finetuned_sent_in_news_sents_3lab BertForSequenceClassification from chrommium
+author: John Snow Labs
+name: sbert_large_finetuned_sent_in_news_sents_3lab
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sbert_large_finetuned_sent_in_news_sents_3lab` is a English model originally trained by chrommium.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sbert_large_finetuned_sent_in_news_sents_3lab_en_5.1.4_3.4_1698374429096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sbert_large_finetuned_sent_in_news_sents_3lab_en_5.1.4_3.4_1698374429096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sbert_large_finetuned_sent_in_news_sents_3lab|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/chrommium/sbert_large-finetuned-sent_in_news_sents_3lab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-sbert_large_finetuned_sent_in_news_sents_en.md b/docs/_posts/ahmedlone127/2023-10-27-sbert_large_finetuned_sent_in_news_sents_en.md
new file mode 100644
index 000000000000..e50b527f95fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-sbert_large_finetuned_sent_in_news_sents_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sbert_large_finetuned_sent_in_news_sents BertForSequenceClassification from chrommium
+author: John Snow Labs
+name: sbert_large_finetuned_sent_in_news_sents
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sbert_large_finetuned_sent_in_news_sents` is a English model originally trained by chrommium.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sbert_large_finetuned_sent_in_news_sents_en_5.1.4_3.4_1698372799251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sbert_large_finetuned_sent_in_news_sents_en_5.1.4_3.4_1698372799251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sbert_large_finetuned_sent_in_news_sents|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/chrommium/sbert_large-finetuned-sent_in_news_sents
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-sentence_sentiments_analysis_bert_uholodala_en.md b/docs/_posts/ahmedlone127/2023-10-27-sentence_sentiments_analysis_bert_uholodala_en.md
new file mode 100644
index 000000000000..2aff8ec253fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-sentence_sentiments_analysis_bert_uholodala_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentence_sentiments_analysis_bert_uholodala BertForSequenceClassification from UholoDala
+author: John Snow Labs
+name: sentence_sentiments_analysis_bert_uholodala
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_sentiments_analysis_bert_uholodala` is a English model originally trained by UholoDala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_sentiments_analysis_bert_uholodala_en_5.1.4_3.4_1698371192545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_sentiments_analysis_bert_uholodala_en_5.1.4_3.4_1698371192545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentence_sentiments_analysis_bert_uholodala|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/UholoDala/sentence_sentiments_analysis_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-sentiment_bert_restaurant_10_en.md b/docs/_posts/ahmedlone127/2023-10-27-sentiment_bert_restaurant_10_en.md
new file mode 100644
index 000000000000..afe8c30049a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-sentiment_bert_restaurant_10_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_bert_restaurant_10 BertForSequenceClassification from pachequinho
+author: John Snow Labs
+name: sentiment_bert_restaurant_10
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_bert_restaurant_10` is a English model originally trained by pachequinho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_bert_restaurant_10_en_5.1.4_3.4_1698369844717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_bert_restaurant_10_en_5.1.4_3.4_1698369844717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_bert_restaurant_10|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/pachequinho/sentiment_bert_restaurant_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-sentiment_bert_twitter_airlines_10_en.md b/docs/_posts/ahmedlone127/2023-10-27-sentiment_bert_twitter_airlines_10_en.md
new file mode 100644
index 000000000000..dabba576d25c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-sentiment_bert_twitter_airlines_10_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_bert_twitter_airlines_10 BertForSequenceClassification from pachequinho
+author: John Snow Labs
+name: sentiment_bert_twitter_airlines_10
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_bert_twitter_airlines_10` is a English model originally trained by pachequinho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_bert_twitter_airlines_10_en_5.1.4_3.4_1698368985918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_bert_twitter_airlines_10_en_5.1.4_3.4_1698368985918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_bert_twitter_airlines_10|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/pachequinho/sentiment_bert_twitter_airlines_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-spanish_bert_apoyo_en.md b/docs/_posts/ahmedlone127/2023-10-27-spanish_bert_apoyo_en.md
new file mode 100644
index 000000000000..def4dbff9cd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-spanish_bert_apoyo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English spanish_bert_apoyo BertForSequenceClassification from dpalominop
+author: John Snow Labs
+name: spanish_bert_apoyo
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanish_bert_apoyo` is a English model originally trained by dpalominop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_bert_apoyo_en_5.1.4_3.4_1698392768802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_bert_apoyo_en_5.1.4_3.4_1698392768802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_bert_apoyo|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/dpalominop/spanish-bert-apoyo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-sts_bert_klue_e20_en.md b/docs/_posts/ahmedlone127/2023-10-27-sts_bert_klue_e20_en.md
new file mode 100644
index 000000000000..76d7c7408877
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-sts_bert_klue_e20_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sts_bert_klue_e20 BertForSequenceClassification from ys7yoo
+author: John Snow Labs
+name: sts_bert_klue_e20
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sts_bert_klue_e20` is a English model originally trained by ys7yoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sts_bert_klue_e20_en_5.1.4_3.4_1698391052220.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sts_bert_klue_e20_en_5.1.4_3.4_1698391052220.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sts_bert_klue_e20|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/ys7yoo/sts_bert_klue_e20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-sts_bert_klue_e7_en.md b/docs/_posts/ahmedlone127/2023-10-27-sts_bert_klue_e7_en.md
new file mode 100644
index 000000000000..87310df51bab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-sts_bert_klue_e7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sts_bert_klue_e7 BertForSequenceClassification from ys7yoo
+author: John Snow Labs
+name: sts_bert_klue_e7
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sts_bert_klue_e7` is a English model originally trained by ys7yoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sts_bert_klue_e7_en_5.1.4_3.4_1698398020211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sts_bert_klue_e7_en_5.1.4_3.4_1698398020211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sts_bert_klue_e7|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/ys7yoo/sts_bert_klue_e7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-textattack_bert_base_mnli_fixed_en.md b/docs/_posts/ahmedlone127/2023-10-27-textattack_bert_base_mnli_fixed_en.md
new file mode 100644
index 000000000000..a4fd764324fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-textattack_bert_base_mnli_fixed_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English textattack_bert_base_mnli_fixed BertForSequenceClassification from chromeNLP
+author: John Snow Labs
+name: textattack_bert_base_mnli_fixed
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`textattack_bert_base_mnli_fixed` is a English model originally trained by chromeNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/textattack_bert_base_mnli_fixed_en_5.1.4_3.4_1698384932693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/textattack_bert_base_mnli_fixed_en_5.1.4_3.4_1698384932693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|textattack_bert_base_mnli_fixed|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/chromeNLP/textattack_bert_base_MNLI_fixed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-two_step_finetuning_sbert_en.md b/docs/_posts/ahmedlone127/2023-10-27-two_step_finetuning_sbert_en.md
new file mode 100644
index 000000000000..29fb4843049f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-two_step_finetuning_sbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English two_step_finetuning_sbert BertForSequenceClassification from chrommium
+author: John Snow Labs
+name: two_step_finetuning_sbert
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`two_step_finetuning_sbert` is a English model originally trained by chrommium.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/two_step_finetuning_sbert_en_5.1.4_3.4_1698376047295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/two_step_finetuning_sbert_en_5.1.4_3.4_1698376047295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|two_step_finetuning_sbert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/chrommium/two-step-finetuning-sbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-unsupervised_comb_fine_tune_bert_exist_en.md b/docs/_posts/ahmedlone127/2023-10-27-unsupervised_comb_fine_tune_bert_exist_en.md
new file mode 100644
index 000000000000..6a5b1eaf173f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-unsupervised_comb_fine_tune_bert_exist_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English unsupervised_comb_fine_tune_bert_exist BertForSequenceClassification from nouman-10
+author: John Snow Labs
+name: unsupervised_comb_fine_tune_bert_exist
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unsupervised_comb_fine_tune_bert_exist` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unsupervised_comb_fine_tune_bert_exist_en_5.1.4_3.4_1698368572633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unsupervised_comb_fine_tune_bert_exist_en_5.1.4_3.4_1698368572633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unsupervised_comb_fine_tune_bert_exist|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/nouman-10/unsupervised-comb-fine-tune-bert-exist
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-vira_outputs_class_bert_claimpremise_en.md b/docs/_posts/ahmedlone127/2023-10-27-vira_outputs_class_bert_claimpremise_en.md
new file mode 100644
index 000000000000..2e76eb98a27e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-vira_outputs_class_bert_claimpremise_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English vira_outputs_class_bert_claimpremise BertForSequenceClassification from spneshaei
+author: John Snow Labs
+name: vira_outputs_class_bert_claimpremise
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vira_outputs_class_bert_claimpremise` is a English model originally trained by spneshaei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vira_outputs_class_bert_claimpremise_en_5.1.4_3.4_1698386789133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vira_outputs_class_bert_claimpremise_en_5.1.4_3.4_1698386789133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vira_outputs_class_bert_claimpremise|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/spneshaei/vira_outputs-class-bert-claimpremise
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-vira_outputs_class_classifier_bert_suggestion_en.md b/docs/_posts/ahmedlone127/2023-10-27-vira_outputs_class_classifier_bert_suggestion_en.md
new file mode 100644
index 000000000000..6f8e34f600fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-vira_outputs_class_classifier_bert_suggestion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English vira_outputs_class_classifier_bert_suggestion BertForSequenceClassification from spneshaei
+author: John Snow Labs
+name: vira_outputs_class_classifier_bert_suggestion
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vira_outputs_class_classifier_bert_suggestion` is a English model originally trained by spneshaei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vira_outputs_class_classifier_bert_suggestion_en_5.1.4_3.4_1698385695032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vira_outputs_class_classifier_bert_suggestion_en_5.1.4_3.4_1698385695032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vira_outputs_class_classifier_bert_suggestion|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/spneshaei/vira_outputs_class_classifier_bert_suggestion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-vira_outputs_relation_bert_en.md b/docs/_posts/ahmedlone127/2023-10-27-vira_outputs_relation_bert_en.md
new file mode 100644
index 000000000000..c9db7d45d6ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-vira_outputs_relation_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English vira_outputs_relation_bert BertForSequenceClassification from spneshaei
+author: John Snow Labs
+name: vira_outputs_relation_bert
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vira_outputs_relation_bert` is a English model originally trained by spneshaei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vira_outputs_relation_bert_en_5.1.4_3.4_1698387515868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vira_outputs_relation_bert_en_5.1.4_3.4_1698387515868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vira_outputs_relation_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/spneshaei/vira_outputs-relation-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-27-yenning_der_bert_model_en.md b/docs/_posts/ahmedlone127/2023-10-27-yenning_der_bert_model_en.md
new file mode 100644
index 000000000000..4ff2ea938fd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-27-yenning_der_bert_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English yenning_der_bert_model BertForSequenceClassification from yyyynnnniiii
+author: John Snow Labs
+name: yenning_der_bert_model
+date: 2023-10-27
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yenning_der_bert_model` is a English model originally trained by yyyynnnniiii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yenning_der_bert_model_en_5.1.4_3.4_1698377743055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yenning_der_bert_model_en_5.1.4_3.4_1698377743055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yenning_der_bert_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yyyynnnniiii/yenning-der-bert-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-016_microsoft_minilm_finetuned_yahoo_80_20_en.md b/docs/_posts/ahmedlone127/2023-10-31-016_microsoft_minilm_finetuned_yahoo_80_20_en.md
new file mode 100644
index 000000000000..ca4ea11fa22c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-016_microsoft_minilm_finetuned_yahoo_80_20_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 016_microsoft_minilm_finetuned_yahoo_80_20 BertForSequenceClassification from diogopaes10
+author: John Snow Labs
+name: 016_microsoft_minilm_finetuned_yahoo_80_20
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`016_microsoft_minilm_finetuned_yahoo_80_20` is a English model originally trained by diogopaes10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/016_microsoft_minilm_finetuned_yahoo_80_20_en_5.1.4_3.4_1698787110491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/016_microsoft_minilm_finetuned_yahoo_80_20_en_5.1.4_3.4_1698787110491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert_medium_algerian|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ar|
+|Size:|158.2 MB|
+
+## References
+
+https://huggingface.co/Abdou/arabert-medium-algerian
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-base_model_indukurs_en.md b/docs/_posts/ahmedlone127/2023-10-31-base_model_indukurs_en.md
new file mode 100644
index 000000000000..c6a826ddbbd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-base_model_indukurs_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English base_model_indukurs BertForSequenceClassification from indukurs
+author: John Snow Labs
+name: base_model_indukurs
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_model_indukurs` is a English model originally trained by indukurs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_model_indukurs_en_5.1.4_3.4_1698781808639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_model_indukurs_en_5.1.4_3.4_1698781808639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_model_indukurs|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/indukurs/base-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_base_chinese_wallstreetcn_morning_news_market_overview_sse50_v9_en.md b/docs/_posts/ahmedlone127/2023-10-31-bert_base_chinese_wallstreetcn_morning_news_market_overview_sse50_v9_en.md
new file mode 100644
index 000000000000..9ea6ebf702ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_base_chinese_wallstreetcn_morning_news_market_overview_sse50_v9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_chinese_wallstreetcn_morning_news_market_overview_sse50_v9 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: bert_base_chinese_wallstreetcn_morning_news_market_overview_sse50_v9
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_wallstreetcn_morning_news_market_overview_sse50_v9` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_sse50_v9_en_5.1.4_3.4_1698785609152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wallstreetcn_morning_news_market_overview_sse50_v9_en_5.1.4_3.4_1698785609152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_wallstreetcn_morning_news_market_overview_sse50_v9|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-wallstreetcn-morning-news-market-overview-SSE50-v9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_base_uncased_alerts04142023_rsplit_3000_category1_en.md b/docs/_posts/ahmedlone127/2023-10-31-bert_base_uncased_alerts04142023_rsplit_3000_category1_en.md
new file mode 100644
index 000000000000..8bed62b2f367
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_base_uncased_alerts04142023_rsplit_3000_category1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_alerts04142023_rsplit_3000_category1 BertForSequenceClassification from slewis
+author: John Snow Labs
+name: bert_base_uncased_alerts04142023_rsplit_3000_category1
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_alerts04142023_rsplit_3000_category1` is a English model originally trained by slewis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_alerts04142023_rsplit_3000_category1_en_5.1.4_3.4_1698788259931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_alerts04142023_rsplit_3000_category1_en_5.1.4_3.4_1698788259931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_alerts04142023_rsplit_3000_category1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/slewis/bert-base-uncased_alerts04142023_rsplit_3000_Category1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_base_uncased_glue_qnli_en.md b/docs/_posts/ahmedlone127/2023-10-31-bert_base_uncased_glue_qnli_en.md
new file mode 100644
index 000000000000..ec307d9a07eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_base_uncased_glue_qnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_glue_qnli BertForSequenceClassification from corybalza
+author: John Snow Labs
+name: bert_base_uncased_glue_qnli
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_glue_qnli` is a English model originally trained by corybalza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_qnli_en_5.1.4_3.4_1698783400543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_glue_qnli_en_5.1.4_3.4_1698783400543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_autonlp_cyberlandr_ai_4_614417501|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|256|
+
+## References
+
+References
+
+- https://huggingface.co/billfrench/autonlp-cyberlandr-ai-4-614417501
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_autonlp_doctor_german_24595545_de.md b/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_autonlp_doctor_german_24595545_de.md
new file mode 100644
index 000000000000..1e5be25cad7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_autonlp_doctor_german_24595545_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German bert_classifier_autonlp_doctor_german_24595545 BertForSequenceClassification from muhtasham
+author: John Snow Labs
+name: bert_classifier_autonlp_doctor_german_24595545
+date: 2023-10-31
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classifier_autonlp_doctor_german_24595545` is a German model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_autonlp_doctor_german_24595545_de_5.1.4_3.4_1698783573146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_autonlp_doctor_german_24595545_de_5.1.4_3.4_1698783573146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_autonlp_doctor_german_24595545|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|412.1 MB|
+
+## References
+
+https://huggingface.co/muhtasham/autonlp-Doctor_DE-24595545
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_autonlp_doctor_german_24595546_de.md b/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_autonlp_doctor_german_24595546_de.md
new file mode 100644
index 000000000000..cb8191aad2d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_autonlp_doctor_german_24595546_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German bert_classifier_autonlp_doctor_german_24595546 BertForSequenceClassification from muhtasham
+author: John Snow Labs
+name: bert_classifier_autonlp_doctor_german_24595546
+date: 2023-10-31
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classifier_autonlp_doctor_german_24595546` is a German model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_autonlp_doctor_german_24595546_de_5.1.4_3.4_1698782774671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_autonlp_doctor_german_24595546_de_5.1.4_3.4_1698782774671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_bert_persian_farsi_base_uncased_farstail|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|fa|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/m3hrdadfi/bert-fa-base-uncased-farstail
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_bert_persian_farsi_base_uncased_haddad_wikinli_fa.md b/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_bert_persian_farsi_base_uncased_haddad_wikinli_fa.md
new file mode 100644
index 000000000000..9be6f2bcbf69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_bert_persian_farsi_base_uncased_haddad_wikinli_fa.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Persian bert_classifier_bert_persian_farsi_base_uncased_haddad_wikinli BertForSequenceClassification from demoversion
+author: John Snow Labs
+name: bert_classifier_bert_persian_farsi_base_uncased_haddad_wikinli
+date: 2023-10-31
+tags: [bert, fa, open_source, sequence_classification, onnx]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classifier_bert_persian_farsi_base_uncased_haddad_wikinli` is a Persian model originally trained by demoversion.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_bert_persian_farsi_base_uncased_haddad_wikinli_fa_5.1.4_3.4_1698785654984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_bert_persian_farsi_base_uncased_haddad_wikinli_fa_5.1.4_3.4_1698785654984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_bert_persian_farsi_base_uncased_haddad_wikinli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|fa|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/demoversion/bert-fa-base-uncased-haddad-wikinli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_bert_persian_farsi_base_uncased_wikinli_fa.md b/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_bert_persian_farsi_base_uncased_wikinli_fa.md
new file mode 100644
index 000000000000..ecccd7d40c86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_classifier_bert_persian_farsi_base_uncased_wikinli_fa.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Persian bert_classifier_bert_persian_farsi_base_uncased_wikinli BertForSequenceClassification from m3hrdadfi
+author: John Snow Labs
+name: bert_classifier_bert_persian_farsi_base_uncased_wikinli
+date: 2023-10-31
+tags: [bert, fa, open_source, sequence_classification, onnx]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classifier_bert_persian_farsi_base_uncased_wikinli` is a Persian model originally trained by m3hrdadfi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_bert_persian_farsi_base_uncased_wikinli_fa_5.1.4_3.4_1698781485654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_bert_persian_farsi_base_uncased_wikinli_fa_5.1.4_3.4_1698781485654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_english_emotion_analysis|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/mariogiordano/Bert-english-emotion-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_large_uncased_finetuned_stsb_en.md b/docs/_posts/ahmedlone127/2023-10-31-bert_large_uncased_finetuned_stsb_en.md
new file mode 100644
index 000000000000..ff38c61b2ccd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_large_uncased_finetuned_stsb_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_finetuned_stsb BertForSequenceClassification from SarielSinLuo
+author: John Snow Labs
+name: bert_large_uncased_finetuned_stsb
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_finetuned_stsb` is a English model originally trained by SarielSinLuo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_stsb_en_5.1.4_3.4_1698785398041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_finetuned_stsb_en_5.1.4_3.4_1698785398041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_finetuned_stsb|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/SarielSinLuo/bert-large-uncased-finetuned-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_seq_en.md b/docs/_posts/ahmedlone127/2023-10-31-bert_seq_en.md
new file mode 100644
index 000000000000..42a1b6097499
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_seq_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_seq BertForSequenceClassification from shengqin
+author: John Snow Labs
+name: bert_seq
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_seq` is a English model originally trained by shengqin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_seq_en_5.1.4_3.4_1698782701750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_seq_en_5.1.4_3.4_1698782701750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sequence_classifier_multi2convai_logistics_polish_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|pl|
+|Size:|495.8 MB|
+
+## References
+
+https://huggingface.co/inovex/multi2convai-logistics-pl-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_uncased_l_12_h_768_a_12_emotion_en.md b/docs/_posts/ahmedlone127/2023-10-31-bert_uncased_l_12_h_768_a_12_emotion_en.md
new file mode 100644
index 000000000000..0b7e5e4b0003
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_uncased_l_12_h_768_a_12_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_uncased_l_12_h_768_a_12_emotion BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_uncased_l_12_h_768_a_12_emotion
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_uncased_l_12_h_768_a_12_emotion` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_l_12_h_768_a_12_emotion_en_5.1.4_3.4_1698781677094.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_l_12_h_768_a_12_emotion_en_5.1.4_3.4_1698781677094.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_l_12_h_768_a_12_emotion|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert_uncased_L-12_H-768_A-12_emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_uncased_l_4_h_128_a_2_emotion_en.md b/docs/_posts/ahmedlone127/2023-10-31-bert_uncased_l_4_h_128_a_2_emotion_en.md
new file mode 100644
index 000000000000..990c75da7bff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_uncased_l_4_h_128_a_2_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_uncased_l_4_h_128_a_2_emotion BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_uncased_l_4_h_128_a_2_emotion
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_uncased_l_4_h_128_a_2_emotion` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_l_4_h_128_a_2_emotion_en_5.1.4_3.4_1698786205383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_l_4_h_128_a_2_emotion_en_5.1.4_3.4_1698786205383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_l_4_h_128_a_2_emotion|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|18.2 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert_uncased_L-4_H-128_A-2_emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-bert_uncased_l_8_h_512_a_8_massive_en.md b/docs/_posts/ahmedlone127/2023-10-31-bert_uncased_l_8_h_512_a_8_massive_en.md
new file mode 100644
index 000000000000..f770a2cb0e34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-bert_uncased_l_8_h_512_a_8_massive_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_uncased_l_8_h_512_a_8_massive BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_uncased_l_8_h_512_a_8_massive
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_uncased_l_8_h_512_a_8_massive` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_uncased_l_8_h_512_a_8_massive_en_5.1.4_3.4_1698787335771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_uncased_l_8_h_512_a_8_massive_en_5.1.4_3.4_1698787335771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_l_8_h_512_a_8_massive|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|155.3 MB|
+
+## References
+
+https://huggingface.co/gokuls/bert_uncased_L-8_H-512_A-8_massive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-best_model_sst_2_32_100_en.md b/docs/_posts/ahmedlone127/2023-10-31-best_model_sst_2_32_100_en.md
new file mode 100644
index 000000000000..f4a418e43e6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-best_model_sst_2_32_100_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English best_model_sst_2_32_100 BertForSequenceClassification from simonycl
+author: John Snow Labs
+name: best_model_sst_2_32_100
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`best_model_sst_2_32_100` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/best_model_sst_2_32_100_en_5.1.4_3.4_1698781676402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/best_model_sst_2_32_100_en_5.1.4_3.4_1698781676402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|best_model_sst_2_32_100|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/simonycl/best_model-sst-2-32-100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_clas_model_arabic_en.md b/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_clas_model_arabic_en.md
new file mode 100644
index 000000000000..1c5a5590376b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_clas_model_arabic_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_clas_model_arabic BertForSequenceClassification from Axel-0087
+author: John Snow Labs
+name: burmese_awesome_clas_model_arabic
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_clas_model_arabic` is a English model originally trained by Axel-0087.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_clas_model_arabic_en_5.1.4_3.4_1698788531704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_clas_model_arabic_en_5.1.4_3.4_1698788531704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_clas_model_arabic|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/Axel-0087/my_awesome_clas_model_ar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_clas_model_en.md b/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_clas_model_en.md
new file mode 100644
index 000000000000..717a15255cbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_clas_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_clas_model BertForSequenceClassification from Axel-0087
+author: John Snow Labs
+name: burmese_awesome_clas_model
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_clas_model` is a English model originally trained by Axel-0087.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_clas_model_en_5.1.4_3.4_1698783681748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_clas_model_en_5.1.4_3.4_1698783681748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_clas_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/Axel-0087/my_awesome_clas_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_model_ryonsd_en.md b/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_model_ryonsd_en.md
new file mode 100644
index 000000000000..a91cc86b2de4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_model_ryonsd_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_ryonsd BertForSequenceClassification from ryonsd
+author: John Snow Labs
+name: burmese_awesome_model_ryonsd
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ryonsd` is a English model originally trained by ryonsd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ryonsd_en_5.1.4_3.4_1698786070614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ryonsd_en_5.1.4_3.4_1698786070614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_ryonsd|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ryonsd/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_model_wskhanh_en.md b/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_model_wskhanh_en.md
new file mode 100644
index 000000000000..ed2d13436077
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-burmese_awesome_model_wskhanh_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_wskhanh BertForSequenceClassification from wskhanh
+author: John Snow Labs
+name: burmese_awesome_model_wskhanh
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_wskhanh` is a English model originally trained by wskhanh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_wskhanh_en_5.1.4_3.4_1698783396538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_wskhanh_en_5.1.4_3.4_1698783396538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_wskhanh|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/wskhanh/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-chinese_macbert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3_en.md b/docs/_posts/ahmedlone127/2023-10-31-chinese_macbert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3_en.md
new file mode 100644
index 000000000000..2a29a886ff17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-chinese_macbert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chinese_macbert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: chinese_macbert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_macbert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_macbert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3_en_5.1.4_3.4_1698786379840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_macbert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3_en_5.1.4_3.4_1698786379840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_macbert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/chinese-macbert-base-wallstreetcn-morning-news-market-overview-SSEC-f1-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-chinese_pert_base_wallstreetcn_morning_news_market_overview_sse50_v10_en.md b/docs/_posts/ahmedlone127/2023-10-31-chinese_pert_base_wallstreetcn_morning_news_market_overview_sse50_v10_en.md
new file mode 100644
index 000000000000..f6ae09f4a31d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-chinese_pert_base_wallstreetcn_morning_news_market_overview_sse50_v10_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chinese_pert_base_wallstreetcn_morning_news_market_overview_sse50_v10 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: chinese_pert_base_wallstreetcn_morning_news_market_overview_sse50_v10
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_pert_base_wallstreetcn_morning_news_market_overview_sse50_v10` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_pert_base_wallstreetcn_morning_news_market_overview_sse50_v10_en_5.1.4_3.4_1698784429437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_pert_base_wallstreetcn_morning_news_market_overview_sse50_v10_en_5.1.4_3.4_1698784429437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_pert_base_wallstreetcn_morning_news_market_overview_sse50_v10|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.4 MB|
+
+## References
+
+https://huggingface.co/hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSE50-v10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-chinese_pert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3_en.md b/docs/_posts/ahmedlone127/2023-10-31-chinese_pert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3_en.md
new file mode 100644
index 000000000000..a524aea910f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-chinese_pert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chinese_pert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: chinese_pert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_pert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_pert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3_en_5.1.4_3.4_1698784862444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_pert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3_en_5.1.4_3.4_1698784862444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_pert_base_wallstreetcn_morning_news_market_overview_ssec_f1_3|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.4 MB|
+
+## References
+
+https://huggingface.co/hw2942/chinese-pert-base-wallstreetcn-morning-news-market-overview-SSEC-f1-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-chinese_roberta_wwm_ext_ssec_en.md b/docs/_posts/ahmedlone127/2023-10-31-chinese_roberta_wwm_ext_ssec_en.md
new file mode 100644
index 000000000000..054d3057d9dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-chinese_roberta_wwm_ext_ssec_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chinese_roberta_wwm_ext_ssec BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: chinese_roberta_wwm_ext_ssec
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_roberta_wwm_ext_ssec` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_ssec_en_5.1.4_3.4_1698781854521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_ssec_en_5.1.4_3.4_1698781854521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_roberta_wwm_ext_ssec|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/hw2942/chinese-roberta-wwm-ext-SSEC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-chinese_roberta_wwm_ext_wallstreetcn_morning_news_market_overview_sse50_v1_en.md b/docs/_posts/ahmedlone127/2023-10-31-chinese_roberta_wwm_ext_wallstreetcn_morning_news_market_overview_sse50_v1_en.md
new file mode 100644
index 000000000000..c9bc4abc2f79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-chinese_roberta_wwm_ext_wallstreetcn_morning_news_market_overview_sse50_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chinese_roberta_wwm_ext_wallstreetcn_morning_news_market_overview_sse50_v1 BertForSequenceClassification from hw2942
+author: John Snow Labs
+name: chinese_roberta_wwm_ext_wallstreetcn_morning_news_market_overview_sse50_v1
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_roberta_wwm_ext_wallstreetcn_morning_news_market_overview_sse50_v1` is a English model originally trained by hw2942.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_wallstreetcn_morning_news_market_overview_sse50_v1_en_5.1.4_3.4_1698781849733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_wallstreetcn_morning_news_market_overview_sse50_v1_en_5.1.4_3.4_1698781849733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_roberta_wwm_ext_wallstreetcn_morning_news_market_overview_sse50_v1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/hw2942/chinese-roberta-wwm-ext-wallstreetcn-morning-news-market-overview-SSE50-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-classifiereutoplevellongertrainaugmented_en.md b/docs/_posts/ahmedlone127/2023-10-31-classifiereutoplevellongertrainaugmented_en.md
new file mode 100644
index 000000000000..6b529695699e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-classifiereutoplevellongertrainaugmented_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English classifiereutoplevellongertrainaugmented BertForSequenceClassification from gianma
+author: John Snow Labs
+name: classifiereutoplevellongertrainaugmented
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classifiereutoplevellongertrainaugmented` is a English model originally trained by gianma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classifiereutoplevellongertrainaugmented_en_5.1.4_3.4_1698781198495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classifiereutoplevellongertrainaugmented_en_5.1.4_3.4_1698781198495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classifiereutoplevellongertrainaugmented|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|416.4 MB|
+
+## References
+
+https://huggingface.co/gianma/classifierEUtopLevelLongerTrainAugmented
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-deepset_covid_bert_litcovid_v1_0_en.md b/docs/_posts/ahmedlone127/2023-10-31-deepset_covid_bert_litcovid_v1_0_en.md
new file mode 100644
index 000000000000..13c84b9f2e0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-deepset_covid_bert_litcovid_v1_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English deepset_covid_bert_litcovid_v1_0 BertForSequenceClassification from sofia-todeschini
+author: John Snow Labs
+name: deepset_covid_bert_litcovid_v1_0
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deepset_covid_bert_litcovid_v1_0` is a English model originally trained by sofia-todeschini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deepset_covid_bert_litcovid_v1_0_en_5.1.4_3.4_1698784107452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deepset_covid_bert_litcovid_v1_0_en_5.1.4_3.4_1698784107452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deepset_covid_bert_litcovid_v1_0|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sofia-todeschini/deepset-Covid-bert-LitCovid-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-dummy_model_sdinger_en.md b/docs/_posts/ahmedlone127/2023-10-31-dummy_model_sdinger_en.md
new file mode 100644
index 000000000000..96a524a608af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-dummy_model_sdinger_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dummy_model_sdinger BertForSequenceClassification from sdinger
+author: John Snow Labs
+name: dummy_model_sdinger
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_sdinger` is a English model originally trained by sdinger.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_sdinger_en_5.1.4_3.4_1698787502495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_sdinger_en_5.1.4_3.4_1698787502495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eganet_mripoti_swahili_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|sw|
+|Size:|666.4 MB|
+
+## References
+
+https://huggingface.co/shadyAI/eganet-mripoti-swahili-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-finetuning_sentiment_spanish_synthetic_train_orig_val_en.md b/docs/_posts/ahmedlone127/2023-10-31-finetuning_sentiment_spanish_synthetic_train_orig_val_en.md
new file mode 100644
index 000000000000..255c59252c58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-finetuning_sentiment_spanish_synthetic_train_orig_val_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_spanish_synthetic_train_orig_val BertForSequenceClassification from jclynn
+author: John Snow Labs
+name: finetuning_sentiment_spanish_synthetic_train_orig_val
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_spanish_synthetic_train_orig_val` is a English model originally trained by jclynn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_spanish_synthetic_train_orig_val_en_5.1.4_3.4_1698781198530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_spanish_synthetic_train_orig_val_en_5.1.4_3.4_1698781198530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_spanish_synthetic_train_orig_val|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/jclynn/finetuning-sentiment-es-synthetic-train-orig-val
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-google_256_finetuned_financial_headline_en.md b/docs/_posts/ahmedlone127/2023-10-31-google_256_finetuned_financial_headline_en.md
new file mode 100644
index 000000000000..d3338b32aba1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-google_256_finetuned_financial_headline_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English google_256_finetuned_financial_headline BertForSequenceClassification from odunola
+author: John Snow Labs
+name: google_256_finetuned_financial_headline
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`google_256_finetuned_financial_headline` is a English model originally trained by odunola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/google_256_finetuned_financial_headline_en_5.1.4_3.4_1698783796450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/google_256_finetuned_financial_headline_en_5.1.4_3.4_1698783796450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|google_256_finetuned_financial_headline|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|65.7 MB|
+
+## References
+
+https://huggingface.co/odunola/google-256-finetuned-financial-headline
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-legal_bert_samoan_gen1_large_defined_summarized_chuvash_1_wiorz_en.md b/docs/_posts/ahmedlone127/2023-10-31-legal_bert_samoan_gen1_large_defined_summarized_chuvash_1_wiorz_en.md
new file mode 100644
index 000000000000..4448cbb2bbb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-legal_bert_samoan_gen1_large_defined_summarized_chuvash_1_wiorz_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English legal_bert_samoan_gen1_large_defined_summarized_chuvash_1_wiorz BertForSequenceClassification from wiorz
+author: John Snow Labs
+name: legal_bert_samoan_gen1_large_defined_summarized_chuvash_1_wiorz
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_bert_samoan_gen1_large_defined_summarized_chuvash_1_wiorz` is a English model originally trained by wiorz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_bert_samoan_gen1_large_defined_summarized_chuvash_1_wiorz_en_5.1.4_3.4_1698781198477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_bert_samoan_gen1_large_defined_summarized_chuvash_1_wiorz_en_5.1.4_3.4_1698781198477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_bert_samoan_gen1_large_defined_summarized_chuvash_1_wiorz|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/wiorz/legal_bert_sm_gen1_large_defined_summarized_cv_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-minilm_finetuned_emotion_jerry3238_en.md b/docs/_posts/ahmedlone127/2023-10-31-minilm_finetuned_emotion_jerry3238_en.md
new file mode 100644
index 000000000000..801eb4d1e419
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-minilm_finetuned_emotion_jerry3238_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English minilm_finetuned_emotion_jerry3238 BertForSequenceClassification from jerry3238
+author: John Snow Labs
+name: minilm_finetuned_emotion_jerry3238
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`minilm_finetuned_emotion_jerry3238` is a English model originally trained by jerry3238.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_finetuned_emotion_jerry3238_en_5.1.4_3.4_1698783015832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_finetuned_emotion_jerry3238_en_5.1.4_3.4_1698783015832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_finetuned_emotion_jerry3238|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|118.5 MB|
+
+## References
+
+https://huggingface.co/jerry3238/minilm-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-model_dir_en.md b/docs/_posts/ahmedlone127/2023-10-31-model_dir_en.md
new file mode 100644
index 000000000000..9f299d3a78ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-model_dir_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English model_dir BertForSequenceClassification from rmhirota
+author: John Snow Labs
+name: model_dir
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_dir` is a English model originally trained by rmhirota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_dir_en_5.1.4_3.4_1698781446726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_dir_en_5.1.4_3.4_1698781446726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_dir|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/rmhirota/model_dir
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-modelo_boicot_reviews_negativas_en.md b/docs/_posts/ahmedlone127/2023-10-31-modelo_boicot_reviews_negativas_en.md
new file mode 100644
index 000000000000..8252a169da73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-modelo_boicot_reviews_negativas_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English modelo_boicot_reviews_negativas BertForSequenceClassification from VictorGil75
+author: John Snow Labs
+name: modelo_boicot_reviews_negativas
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelo_boicot_reviews_negativas` is a English model originally trained by VictorGil75.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelo_boicot_reviews_negativas_en_5.1.4_3.4_1698782426921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelo_boicot_reviews_negativas_en_5.1.4_3.4_1698782426921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelo_boicot_reviews_negativas|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/VictorGil75/Modelo_Boicot_reviews_negativas
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-modelo_clasificacion_taller_notaller_en.md b/docs/_posts/ahmedlone127/2023-10-31-modelo_clasificacion_taller_notaller_en.md
new file mode 100644
index 000000000000..de429cdb97b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-modelo_clasificacion_taller_notaller_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English modelo_clasificacion_taller_notaller BertForSequenceClassification from VictorGil75
+author: John Snow Labs
+name: modelo_clasificacion_taller_notaller
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelo_clasificacion_taller_notaller` is a English model originally trained by VictorGil75.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelo_clasificacion_taller_notaller_en_5.1.4_3.4_1698782775013.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelo_clasificacion_taller_notaller_en_5.1.4_3.4_1698782775013.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelo_clasificacion_taller_notaller|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/VictorGil75/Modelo_Clasificacion_Taller_NoTaller
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-nextquarter_status_v1_0_2_en.md b/docs/_posts/ahmedlone127/2023-10-31-nextquarter_status_v1_0_2_en.md
new file mode 100644
index 000000000000..7b2fce1bb983
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-nextquarter_status_v1_0_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nextquarter_status_v1_0_2 BertForSequenceClassification from AhmedTaha012
+author: John Snow Labs
+name: nextquarter_status_v1_0_2
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nextquarter_status_v1_0_2` is a English model originally trained by AhmedTaha012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nextquarter_status_v1_0_2_en_5.1.4_3.4_1698782062502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nextquarter_status_v1_0_2_en_5.1.4_3.4_1698782062502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nextquarter_status_v1_0_2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/AhmedTaha012/nextQuarter-status-V1.0.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-output_jaminone_en.md b/docs/_posts/ahmedlone127/2023-10-31-output_jaminone_en.md
new file mode 100644
index 000000000000..0eb7673b7c13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-output_jaminone_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English output_jaminone BertForSequenceClassification from JaminOne
+author: John Snow Labs
+name: output_jaminone
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_jaminone` is a English model originally trained by JaminOne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_jaminone_en_5.1.4_3.4_1698782063448.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_jaminone_en_5.1.4_3.4_1698782063448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_jaminone|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/JaminOne/output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-phrasebank_sentiment_analysis_elrarun_en.md b/docs/_posts/ahmedlone127/2023-10-31-phrasebank_sentiment_analysis_elrarun_en.md
new file mode 100644
index 000000000000..09aadd8bd6c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-phrasebank_sentiment_analysis_elrarun_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_elrarun BertForSequenceClassification from elrarun
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_elrarun
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_elrarun` is a English model originally trained by elrarun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_elrarun_en_5.1.4_3.4_1698783189728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_elrarun_en_5.1.4_3.4_1698783189728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_elrarun|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/elrarun/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-phrasebank_sentiment_analysis_giantist_en.md b/docs/_posts/ahmedlone127/2023-10-31-phrasebank_sentiment_analysis_giantist_en.md
new file mode 100644
index 000000000000..8cd1597c26ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-phrasebank_sentiment_analysis_giantist_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English phrasebank_sentiment_analysis_giantist BertForSequenceClassification from giantist
+author: John Snow Labs
+name: phrasebank_sentiment_analysis_giantist
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_sentiment_analysis_giantist` is a English model originally trained by giantist.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_giantist_en_5.1.4_3.4_1698781451522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_sentiment_analysis_giantist_en_5.1.4_3.4_1698781451522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phrasebank_sentiment_analysis_giantist|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/giantist/phrasebank-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-pubmed_1e_en.md b/docs/_posts/ahmedlone127/2023-10-31-pubmed_1e_en.md
new file mode 100644
index 000000000000..ac1b60b00423
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-pubmed_1e_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pubmed_1e BertForSequenceClassification from Shana4
+author: John Snow Labs
+name: pubmed_1e
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pubmed_1e` is a English model originally trained by Shana4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pubmed_1e_en_5.1.4_3.4_1698785068680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pubmed_1e_en_5.1.4_3.4_1698785068680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubmed_1e|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/Shana4/PubMed_1E
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-pubmedbert_large_litcovid_v1_3_1_en.md b/docs/_posts/ahmedlone127/2023-10-31-pubmedbert_large_litcovid_v1_3_1_en.md
new file mode 100644
index 000000000000..0c33d4ff7d02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-pubmedbert_large_litcovid_v1_3_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pubmedbert_large_litcovid_v1_3_1 BertForSequenceClassification from sofia-todeschini
+author: John Snow Labs
+name: pubmedbert_large_litcovid_v1_3_1
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pubmedbert_large_litcovid_v1_3_1` is a English model originally trained by sofia-todeschini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pubmedbert_large_litcovid_v1_3_1_en_5.1.4_3.4_1698782434723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pubmedbert_large_litcovid_v1_3_1_en_5.1.4_3.4_1698782434723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubmedbert_large_litcovid_v1_3_1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/sofia-todeschini/PubMedBERT-Large-LitCovid-v1.3.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-rubert_rusentitweet_sturgunbaev_en.md b/docs/_posts/ahmedlone127/2023-10-31-rubert_rusentitweet_sturgunbaev_en.md
new file mode 100644
index 000000000000..1858dbcdd560
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-rubert_rusentitweet_sturgunbaev_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rubert_rusentitweet_sturgunbaev BertForSequenceClassification from sturgunbaev
+author: John Snow Labs
+name: rubert_rusentitweet_sturgunbaev
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_rusentitweet_sturgunbaev` is a English model originally trained by sturgunbaev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_rusentitweet_sturgunbaev_en_5.1.4_3.4_1698783040543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_rusentitweet_sturgunbaev_en_5.1.4_3.4_1698783040543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_rusentitweet_sturgunbaev|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/sturgunbaev/rubert-rusentitweet
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-sentiment_analysis_karlopintaric_en.md b/docs/_posts/ahmedlone127/2023-10-31-sentiment_analysis_karlopintaric_en.md
new file mode 100644
index 000000000000..8121a1e6b690
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-sentiment_analysis_karlopintaric_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_karlopintaric BertForSequenceClassification from karlopintaric
+author: John Snow Labs
+name: sentiment_analysis_karlopintaric
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_karlopintaric` is a English model originally trained by karlopintaric.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_karlopintaric_en_5.1.4_3.4_1698784659236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_karlopintaric_en_5.1.4_3.4_1698784659236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_karlopintaric|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/karlopintaric/sentiment_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-sts_klue_bert_base_ep5_ckpt_en.md b/docs/_posts/ahmedlone127/2023-10-31-sts_klue_bert_base_ep5_ckpt_en.md
new file mode 100644
index 000000000000..ede1ab0c72a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-sts_klue_bert_base_ep5_ckpt_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sts_klue_bert_base_ep5_ckpt BertForSequenceClassification from ys7yoo
+author: John Snow Labs
+name: sts_klue_bert_base_ep5_ckpt
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sts_klue_bert_base_ep5_ckpt` is a English model originally trained by ys7yoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sts_klue_bert_base_ep5_ckpt_en_5.1.4_3.4_1698785805240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sts_klue_bert_base_ep5_ckpt_en_5.1.4_3.4_1698785805240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sts_klue_bert_base_ep5_ckpt|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/ys7yoo/sts_klue_bert_base_ep5_ckpt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-swahili_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-10-31-swahili_sentiment_analysis_en.md
new file mode 100644
index 000000000000..c859c5399a6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-swahili_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English swahili_sentiment_analysis BertForSequenceClassification from nairaxo
+author: John Snow Labs
+name: swahili_sentiment_analysis
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`swahili_sentiment_analysis` is a English model originally trained by nairaxo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/swahili_sentiment_analysis_en_5.1.4_3.4_1698786976813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/swahili_sentiment_analysis_en_5.1.4_3.4_1698786976813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|swahili_sentiment_analysis|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|755.1 MB|
+
+## References
+
+https://huggingface.co/nairaxo/swahili-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-test_upload_en.md b/docs/_posts/ahmedlone127/2023-10-31-test_upload_en.md
new file mode 100644
index 000000000000..bceb0fbe9966
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-test_upload_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English test_upload BertForSequenceClassification from augustinLib
+author: John Snow Labs
+name: test_upload
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_upload` is a English model originally trained by augustinLib.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_upload_en_5.1.4_3.4_1698781641758.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_upload_en_5.1.4_3.4_1698781641758.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_upload|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/augustinLib/test_upload
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-10-31-text_tonga_tonga_islands_subfunction_v2_en.md b/docs/_posts/ahmedlone127/2023-10-31-text_tonga_tonga_islands_subfunction_v2_en.md
new file mode 100644
index 000000000000..4491c41cb7f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-10-31-text_tonga_tonga_islands_subfunction_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English text_tonga_tonga_islands_subfunction_v2 BertForSequenceClassification from Sandrro
+author: John Snow Labs
+name: text_tonga_tonga_islands_subfunction_v2
+date: 2023-10-31
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_tonga_tonga_islands_subfunction_v2` is a English model originally trained by Sandrro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_tonga_tonga_islands_subfunction_v2_en_5.1.4_3.4_1698783718345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_tonga_tonga_islands_subfunction_v2_en_5.1.4_3.4_1698783718345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_tonga_tonga_islands_subfunction_v2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|109.9 MB|
+
+## References
+
+https://huggingface.co/Sandrro/text_to_subfunction_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-16_combo_webscrap_1709_v1_en.md b/docs/_posts/ahmedlone127/2023-11-01-16_combo_webscrap_1709_v1_en.md
new file mode 100644
index 000000000000..bb558b70d2f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-16_combo_webscrap_1709_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 16_combo_webscrap_1709_v1 BertForSequenceClassification from dsmsb
+author: John Snow Labs
+name: 16_combo_webscrap_1709_v1
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`16_combo_webscrap_1709_v1` is a English model originally trained by dsmsb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/16_combo_webscrap_1709_v1_en_5.1.4_3.4_1698870052077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/16_combo_webscrap_1709_v1_en_5.1.4_3.4_1698870052077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|16_combo_webscrap_1709_v1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/dsmsb/16_combo_webscrap_1709_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-absa_aspectsentiment_hotels_en.md b/docs/_posts/ahmedlone127/2023-11-01-absa_aspectsentiment_hotels_en.md
new file mode 100644
index 000000000000..aa6a54a530a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-absa_aspectsentiment_hotels_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English absa_aspectsentiment_hotels BertForSequenceClassification from MutazYoune
+author: John Snow Labs
+name: absa_aspectsentiment_hotels
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`absa_aspectsentiment_hotels` is a English model originally trained by MutazYoune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/absa_aspectsentiment_hotels_en_5.1.4_3.4_1698871310830.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/absa_aspectsentiment_hotels_en_5.1.4_3.4_1698871310830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|absa_aspectsentiment_hotels|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.6 MB|
+
+## References
+
+https://huggingface.co/MutazYoune/Absa_AspectSentiment_hotels
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-abusive_tagalog_profanity_detection_en.md b/docs/_posts/ahmedlone127/2023-11-01-abusive_tagalog_profanity_detection_en.md
new file mode 100644
index 000000000000..eac0b40e01b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-abusive_tagalog_profanity_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English abusive_tagalog_profanity_detection BertForSequenceClassification from Dabid
+author: John Snow Labs
+name: abusive_tagalog_profanity_detection
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`abusive_tagalog_profanity_detection` is a English model originally trained by Dabid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/abusive_tagalog_profanity_detection_en_5.1.4_3.4_1698828589109.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/abusive_tagalog_profanity_detection_en_5.1.4_3.4_1698828589109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|abusive_tagalog_profanity_detection|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/Dabid/abusive-tagalog-profanity-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-adultcontentclassifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-adultcontentclassifier_en.md
new file mode 100644
index 000000000000..3eba7ee51e66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-adultcontentclassifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English adultcontentclassifier BertForSequenceClassification from ziadA123
+author: John Snow Labs
+name: adultcontentclassifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adultcontentclassifier` is a English model originally trained by ziadA123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adultcontentclassifier_en_5.1.4_3.4_1698868207729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adultcontentclassifier_en_5.1.4_3.4_1698868207729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adultcontentclassifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|608.8 MB|
+
+## References
+
+https://huggingface.co/ziadA123/adultcontentclassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-ag_news1_en.md b/docs/_posts/ahmedlone127/2023-11-01-ag_news1_en.md
new file mode 100644
index 000000000000..5727be361471
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-ag_news1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ag_news1 BertForSequenceClassification from Lumos
+author: John Snow Labs
+name: ag_news1
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ag_news1` is a English model originally trained by Lumos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ag_news1_en_5.1.4_3.4_1698864743178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news1_en_5.1.4_3.4_1698864743178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Lumos/ag_news1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-agribert_clfmodel_en.md b/docs/_posts/ahmedlone127/2023-11-01-agribert_clfmodel_en.md
new file mode 100644
index 000000000000..7c3592c86d19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-agribert_clfmodel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English agribert_clfmodel BertForSequenceClassification from divyanshu94
+author: John Snow Labs
+name: agribert_clfmodel
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`agribert_clfmodel` is a English model originally trained by divyanshu94.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/agribert_clfmodel_en_5.1.4_3.4_1698818952783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/agribert_clfmodel_en_5.1.4_3.4_1698818952783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|agribert_clfmodel|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/divyanshu94/agriBERT_clfModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-ai_oriya_human_text_classification_en.md b/docs/_posts/ahmedlone127/2023-11-01-ai_oriya_human_text_classification_en.md
new file mode 100644
index 000000000000..69a42ebe83c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-ai_oriya_human_text_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ai_oriya_human_text_classification BertForSequenceClassification from priyabrat
+author: John Snow Labs
+name: ai_oriya_human_text_classification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai_oriya_human_text_classification` is a English model originally trained by priyabrat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai_oriya_human_text_classification_en_5.1.4_3.4_1698810202853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai_oriya_human_text_classification_en_5.1.4_3.4_1698810202853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ai_oriya_human_text_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/priyabrat/AI.or.Human.text.classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-aimesoft_test_text_classification_4_en.md b/docs/_posts/ahmedlone127/2023-11-01-aimesoft_test_text_classification_4_en.md
new file mode 100644
index 000000000000..c4d6af09f4c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-aimesoft_test_text_classification_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English aimesoft_test_text_classification_4 BertForSequenceClassification from bunbohue
+author: John Snow Labs
+name: aimesoft_test_text_classification_4
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aimesoft_test_text_classification_4` is a English model originally trained by bunbohue.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aimesoft_test_text_classification_4_en_5.1.4_3.4_1698815743643.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aimesoft_test_text_classification_4_en_5.1.4_3.4_1698815743643.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|tw|
+|Size:|43.4 MB|
+
+## References
+
+https://huggingface.co/clhuang/albert-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-allenai_scibert_scivocab_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-01-allenai_scibert_scivocab_uncased_en.md
new file mode 100644
index 000000000000..9b1c9d805d79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-allenai_scibert_scivocab_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English allenai_scibert_scivocab_uncased BertForSequenceClassification from Mahmoud8
+author: John Snow Labs
+name: allenai_scibert_scivocab_uncased
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`allenai_scibert_scivocab_uncased` is a English model originally trained by Mahmoud8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/allenai_scibert_scivocab_uncased_en_5.1.4_3.4_1698806541940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/allenai_scibert_scivocab_uncased_en_5.1.4_3.4_1698806541940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|allenai_scibert_scivocab_uncased|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/Mahmoud8/allenai-scibert_scivocab_uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-aspect_level_certainty_en.md b/docs/_posts/ahmedlone127/2023-11-01-aspect_level_certainty_en.md
new file mode 100644
index 000000000000..5c870f6646bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-aspect_level_certainty_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English aspect_level_certainty BertForSequenceClassification from pedropei
+author: John Snow Labs
+name: aspect_level_certainty
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aspect_level_certainty` is a English model originally trained by pedropei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aspect_level_certainty_en_5.1.4_3.4_1698806738445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aspect_level_certainty_en_5.1.4_3.4_1698806738445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aspect_level_certainty|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.1 MB|
+
+## References
+
+https://huggingface.co/pedropei/aspect-level-certainty
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-asr_question_detection_en.md b/docs/_posts/ahmedlone127/2023-11-01-asr_question_detection_en.md
new file mode 100644
index 000000000000..8f7256b83d41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-asr_question_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English asr_question_detection BertForSequenceClassification from mrsinghania
+author: John Snow Labs
+name: asr_question_detection
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asr_question_detection` is a English model originally trained by mrsinghania.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_question_detection_en_5.1.4_3.4_1698800718681.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_question_detection_en_5.1.4_3.4_1698800718681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_question_detection|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/mrsinghania/asr-question-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-autonlp_swahili_sentiment_615517563_en.md b/docs/_posts/ahmedlone127/2023-11-01-autonlp_swahili_sentiment_615517563_en.md
new file mode 100644
index 000000000000..ebee0584f73e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-autonlp_swahili_sentiment_615517563_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autonlp_swahili_sentiment_615517563 BertForSequenceClassification from abhishek
+author: John Snow Labs
+name: autonlp_swahili_sentiment_615517563
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autonlp_swahili_sentiment_615517563` is a English model originally trained by abhishek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_swahili_sentiment_615517563_en_5.1.4_3.4_1698835093463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_swahili_sentiment_615517563_en_5.1.4_3.4_1698835093463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autonlp_swahili_sentiment_615517563|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.2 MB|
+
+## References
+
+https://huggingface.co/abhishek/autonlp-swahili-sentiment-615517563
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-autotrain_crenderping1_0_89162143881_en.md b/docs/_posts/ahmedlone127/2023-11-01-autotrain_crenderping1_0_89162143881_en.md
new file mode 100644
index 000000000000..a4034bd4985b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-autotrain_crenderping1_0_89162143881_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autotrain_crenderping1_0_89162143881 BertForSequenceClassification from matejmicek
+author: John Snow Labs
+name: autotrain_crenderping1_0_89162143881
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_crenderping1_0_89162143881` is a English model originally trained by matejmicek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_crenderping1_0_89162143881_en_5.1.4_3.4_1698872488292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_crenderping1_0_89162143881_en_5.1.4_3.4_1698872488292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_crenderping1_0_89162143881|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/matejmicek/autotrain-crenderping1.0-89162143881
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-autotrain_intent_classification_5categories_90278144252_ko.md b/docs/_posts/ahmedlone127/2023-11-01-autotrain_intent_classification_5categories_90278144252_ko.md
new file mode 100644
index 000000000000..fec33bf969d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-autotrain_intent_classification_5categories_90278144252_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean autotrain_intent_classification_5categories_90278144252 BertForSequenceClassification from yeye776
+author: John Snow Labs
+name: autotrain_intent_classification_5categories_90278144252
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_intent_classification_5categories_90278144252` is a Korean model originally trained by yeye776.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_intent_classification_5categories_90278144252_ko_5.1.4_3.4_1698843838615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_intent_classification_5categories_90278144252_ko_5.1.4_3.4_1698843838615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_intent_classification_5categories_90278144252|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|443.4 MB|
+
+## References
+
+https://huggingface.co/yeye776/autotrain-intent-classification-5categories-90278144252
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-autotrain_text_sentiment_indonlu_smse_2885384370_id.md b/docs/_posts/ahmedlone127/2023-11-01-autotrain_text_sentiment_indonlu_smse_2885384370_id.md
new file mode 100644
index 000000000000..86fe5e5ff1e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-autotrain_text_sentiment_indonlu_smse_2885384370_id.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Indonesian autotrain_text_sentiment_indonlu_smse_2885384370 BertForSequenceClassification from mkhairil
+author: John Snow Labs
+name: autotrain_text_sentiment_indonlu_smse_2885384370
+date: 2023-11-01
+tags: [bert, id, open_source, sequence_classification, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_text_sentiment_indonlu_smse_2885384370` is a Indonesian model originally trained by mkhairil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_text_sentiment_indonlu_smse_2885384370_id_5.1.4_3.4_1698808806562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_text_sentiment_indonlu_smse_2885384370_id_5.1.4_3.4_1698808806562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_text_sentiment_indonlu_smse_2885384370|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/mkhairil/autotrain-text-sentiment-indonlu-smse-2885384370
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-awesome_japanese_nlp_classification_model_en.md b/docs/_posts/ahmedlone127/2023-11-01-awesome_japanese_nlp_classification_model_en.md
new file mode 100644
index 000000000000..5d7422cd4889
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-awesome_japanese_nlp_classification_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English awesome_japanese_nlp_classification_model BertForSequenceClassification from taishi-i
+author: John Snow Labs
+name: awesome_japanese_nlp_classification_model
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`awesome_japanese_nlp_classification_model` is a English model originally trained by taishi-i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/awesome_japanese_nlp_classification_model_en_5.1.4_3.4_1698814804044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/awesome_japanese_nlp_classification_model_en_5.1.4_3.4_1698814804044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|awesome_japanese_nlp_classification_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/taishi-i/awesome-japanese-nlp-classification-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-base_model_stevendee5_en.md b/docs/_posts/ahmedlone127/2023-11-01-base_model_stevendee5_en.md
new file mode 100644
index 000000000000..8eddd4fb55c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-base_model_stevendee5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English base_model_stevendee5 BertForSequenceClassification from stevendee5
+author: John Snow Labs
+name: base_model_stevendee5
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_model_stevendee5` is a English model originally trained by stevendee5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_model_stevendee5_en_5.1.4_3.4_1698822467670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_model_stevendee5_en_5.1.4_3.4_1698822467670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|base_model_stevendee5|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/stevendee5/base-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bbb_prediction_classification_iupac_en.md b/docs/_posts/ahmedlone127/2023-11-01-bbb_prediction_classification_iupac_en.md
new file mode 100644
index 000000000000..4465f7ccd02a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bbb_prediction_classification_iupac_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bbb_prediction_classification_iupac BertForSequenceClassification from Parsa
+author: John Snow Labs
+name: bbb_prediction_classification_iupac
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bbb_prediction_classification_iupac` is a English model originally trained by Parsa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bbb_prediction_classification_iupac_en_5.1.4_3.4_1698842615392.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bbb_prediction_classification_iupac_en_5.1.4_3.4_1698842615392.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bbb_prediction_classification_iupac|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|326.4 MB|
+
+## References
+
+https://huggingface.co/Parsa/BBB_prediction_classification_IUPAC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_agnews_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_agnews_en.md
new file mode 100644
index 000000000000..0914a72dc18a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_agnews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_agnews BertForSequenceClassification from tzhao3
+author: John Snow Labs
+name: bert_agnews
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_agnews` is a English model originally trained by tzhao3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_agnews_en_5.1.4_3.4_1698810360136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_agnews_en_5.1.4_3.4_1698810360136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_agnews|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/tzhao3/Bert-AGnews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_amazon_product_classification_epoch_0_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_amazon_product_classification_epoch_0_en.md
new file mode 100644
index 000000000000..e5c9c402f78b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_amazon_product_classification_epoch_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_amazon_product_classification_epoch_0 BertForSequenceClassification from nthieu
+author: John Snow Labs
+name: bert_amazon_product_classification_epoch_0
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_amazon_product_classification_epoch_0` is a English model originally trained by nthieu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_amazon_product_classification_epoch_0_en_5.1.4_3.4_1698862822162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_amazon_product_classification_epoch_0_en_5.1.4_3.4_1698862822162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_bank_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|691.6 MB|
+
+## References
+
+https://huggingface.co/elifftosunn/Bert-Bank-Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_ag_news_lucasresck_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_ag_news_lucasresck_en.md
new file mode 100644
index 000000000000..e9996d2fc051
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_ag_news_lucasresck_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_cased_ag_news_lucasresck BertForSequenceClassification from lucasresck
+author: John Snow Labs
+name: bert_base_cased_ag_news_lucasresck
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_ag_news_lucasresck` is a English model originally trained by lucasresck.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_ag_news_lucasresck_en_5.1.4_3.4_1698801601428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_ag_news_lucasresck_en_5.1.4_3.4_1698801601428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_ag_news_lucasresck|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/lucasresck/bert-base-cased-ag-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_ag_news_odunola_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_ag_news_odunola_en.md
new file mode 100644
index 000000000000..d866b9a8d212
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_ag_news_odunola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_cased_ag_news_odunola BertForSequenceClassification from odunola
+author: John Snow Labs
+name: bert_base_cased_ag_news_odunola
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_ag_news_odunola` is a English model originally trained by odunola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_ag_news_odunola_en_5.1.4_3.4_1698839508494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_ag_news_odunola_en_5.1.4_3.4_1698839508494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_ag_news_odunola|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/odunola/bert-base-cased-ag-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_fever_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_fever_en.md
new file mode 100644
index 000000000000..c426aa7644d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_fever_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_cased_fever BertForSequenceClassification from sagnikrayc
+author: John Snow Labs
+name: bert_base_cased_fever
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_fever` is a English model originally trained by sagnikrayc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_fever_en_5.1.4_3.4_1698810975118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_fever_en_5.1.4_3.4_1698810975118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_fever|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/sagnikrayc/bert-base-cased-fever
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_finetuned_finbert_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_finetuned_finbert_en.md
new file mode 100644
index 000000000000..a9341401a06e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_finetuned_finbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_finbert BertForSequenceClassification from ipuneetrathore
+author: John Snow Labs
+name: bert_base_cased_finetuned_finbert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_finbert` is a English model originally trained by ipuneetrathore.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_finbert_en_5.1.4_3.4_1698807749279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_finbert_en_5.1.4_3.4_1698807749279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_finbert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ipuneetrathore/bert-base-cased-finetuned-finBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_korean_sentiment_ko.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_korean_sentiment_ko.md
new file mode 100644
index 000000000000..dfa60273178a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_korean_sentiment_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean bert_base_cased_korean_sentiment BertForSequenceClassification from WhitePeak
+author: John Snow Labs
+name: bert_base_cased_korean_sentiment
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_korean_sentiment` is a Korean model originally trained by WhitePeak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_korean_sentiment_ko_5.1.4_3.4_1698804265297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_korean_sentiment_ko_5.1.4_3.4_1698804265297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_korean_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/WhitePeak/bert-base-cased-Korean-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_qa_evaluator_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_qa_evaluator_en.md
new file mode 100644
index 000000000000..64063a92257b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_cased_qa_evaluator_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_cased_qa_evaluator BertForSequenceClassification from iarfmoose
+author: John Snow Labs
+name: bert_base_cased_qa_evaluator
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_qa_evaluator` is a English model originally trained by iarfmoose.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_qa_evaluator_en_5.1.4_3.4_1698803516608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_qa_evaluator_en_5.1.4_3.4_1698803516608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_finetuning_financial_news_sentiment_v2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/hw2942/bert-base-chinese-finetuning-financial-news-sentiment-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_claimbuster_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_claimbuster_en.md
new file mode 100644
index 000000000000..90ac59c59357
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_claimbuster_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_claimbuster BertForSequenceClassification from Nithiwat
+author: John Snow Labs
+name: bert_base_claimbuster
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_claimbuster` is a English model originally trained by Nithiwat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_claimbuster_en_5.1.4_3.4_1698820050536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_claimbuster_en_5.1.4_3.4_1698820050536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_claimbuster|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Nithiwat/bert-base_claimbuster
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_codemixed_uncased_sentiment_hi.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_codemixed_uncased_sentiment_hi.md
new file mode 100644
index 000000000000..c60991866dbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_codemixed_uncased_sentiment_hi.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Hindi bert_base_codemixed_uncased_sentiment BertForSequenceClassification from rohanrajpal
+author: John Snow Labs
+name: bert_base_codemixed_uncased_sentiment
+date: 2023-11-01
+tags: [bert, hi, open_source, sequence_classification, onnx]
+task: Text Classification
+language: hi
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_codemixed_uncased_sentiment` is a Hindi model originally trained by rohanrajpal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_codemixed_uncased_sentiment_hi_5.1.4_3.4_1698813250317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_codemixed_uncased_sentiment_hi_5.1.4_3.4_1698813250317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_codemixed_uncased_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|hi|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/rohanrajpal/bert-base-codemixed-uncased-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_german_cased_hatespeech_germeval18_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_german_cased_hatespeech_germeval18_en.md
new file mode 100644
index 000000000000..0148a4ea453a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_german_cased_hatespeech_germeval18_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_german_cased_hatespeech_germeval18 BertForSequenceClassification from GeorgHCundK
+author: John Snow Labs
+name: bert_base_german_cased_hatespeech_germeval18
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_german_cased_hatespeech_germeval18` is a English model originally trained by GeorgHCundK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_hatespeech_germeval18_en_5.1.4_3.4_1698841522224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_hatespeech_germeval18_en_5.1.4_3.4_1698841522224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_cased_hatespeech_germeval18|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/GeorgHCundK/bert-base-german-cased-hatespeech-GermEval18
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_intent_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_intent_en.md
new file mode 100644
index 000000000000..d0ace87eeb15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_intent_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_intent BertForSequenceClassification from JeswinMS4
+author: John Snow Labs
+name: bert_base_intent
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_intent` is a English model originally trained by JeswinMS4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_intent_en_5.1.4_3.4_1698815056244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_intent_en_5.1.4_3.4_1698815056244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_uncased_sentiment_b1tk40s|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/b1tk40s/bert-base-multilingual-uncased-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_personality_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_personality_en.md
new file mode 100644
index 000000000000..57ccd6f08078
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_personality_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_personality BertForSequenceClassification from Minej
+author: John Snow Labs
+name: bert_base_personality
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_personality` is a English model originally trained by Minej.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_personality_en_5.1.4_3.4_1698814698287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_personality_en_5.1.4_3.4_1698814698287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_portuguese_cased_assin2_similarity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ruanchaves/bert-base-portuguese-cased-assin2-similarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_sentiment_analysis_french_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_sentiment_analysis_french_en.md
new file mode 100644
index 000000000000..9480f0c81a8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_sentiment_analysis_french_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_sentiment_analysis_french BertForSequenceClassification from ulrichING
+author: John Snow Labs
+name: bert_base_sentiment_analysis_french
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_sentiment_analysis_french` is a English model originally trained by ulrichING.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_sentiment_analysis_french_en_5.1.4_3.4_1698829099931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_sentiment_analysis_french_en_5.1.4_3.4_1698829099931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_turkish_job_advertisement|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|691.6 MB|
+
+## References
+
+https://huggingface.co/nanelimon/bert-base-turkish-job-advertisement
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_ag_news_textattack_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_ag_news_textattack_en.md
new file mode 100644
index 000000000000..3bae0ce953c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_ag_news_textattack_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_ag_news_textattack BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_ag_news_textattack
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ag_news_textattack` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ag_news_textattack_en_5.1.4_3.4_1698803827207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ag_news_textattack_en_5.1.4_3.4_1698803827207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ag_news_textattack|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-ag-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_amazon_massive_intent_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_amazon_massive_intent_en.md
new file mode 100644
index 000000000000..a7f3a19003f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_amazon_massive_intent_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_amazon_massive_intent BertForSequenceClassification from cartesinus
+author: John Snow Labs
+name: bert_base_uncased_amazon_massive_intent
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_amazon_massive_intent` is a English model originally trained by cartesinus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_amazon_massive_intent_en_5.1.4_3.4_1698815335204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_amazon_massive_intent_en_5.1.4_3.4_1698815335204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_amazon_massive_intent|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/cartesinus/bert-base-uncased-amazon-massive-intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_cola_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_cola_en.md
new file mode 100644
index 000000000000..c5b4d2b582ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_cola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_cola BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_cola
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_cola` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_en_5.1.4_3.4_1698819940237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_en_5.1.4_3.4_1698819940237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_cola|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-CoLA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_cola_modeltc_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_cola_modeltc_en.md
new file mode 100644
index 000000000000..7b9ad10de9fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_cola_modeltc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_cola_modeltc BertForSequenceClassification from ModelTC
+author: John Snow Labs
+name: bert_base_uncased_cola_modeltc
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_cola_modeltc` is a English model originally trained by ModelTC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_modeltc_en_5.1.4_3.4_1698810549116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_modeltc_en_5.1.4_3.4_1698810549116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_cola_modeltc|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ModelTC/bert-base-uncased-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_cola_yoshitomo_matsubara_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_cola_yoshitomo_matsubara_en.md
new file mode 100644
index 000000000000..585b2a343f59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_cola_yoshitomo_matsubara_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_cola_yoshitomo_matsubara BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_cola_yoshitomo_matsubara
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_cola_yoshitomo_matsubara` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_yoshitomo_matsubara_en_5.1.4_3.4_1698872378368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_cola_yoshitomo_matsubara_en_5.1.4_3.4_1698872378368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_cola_yoshitomo_matsubara|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_ear_misogyny_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_ear_misogyny_en.md
new file mode 100644
index 000000000000..97e396b09266
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_ear_misogyny_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_ear_misogyny BertForSequenceClassification from MilaNLProc
+author: John Snow Labs
+name: bert_base_uncased_ear_misogyny
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ear_misogyny` is a English model originally trained by MilaNLProc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ear_misogyny_en_5.1.4_3.4_1698833227309.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ear_misogyny_en_5.1.4_3.4_1698833227309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ear_misogyny|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/MilaNLProc/bert-base-uncased-ear-misogyny
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_finetuned_boolq_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_finetuned_boolq_en.md
new file mode 100644
index 000000000000..a74aef3c8fd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_finetuned_boolq_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_boolq BertForSequenceClassification from lewtun
+author: John Snow Labs
+name: bert_base_uncased_finetuned_boolq
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_boolq` is a English model originally trained by lewtun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_boolq_en_5.1.4_3.4_1698862097697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_boolq_en_5.1.4_3.4_1698862097697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_boolq|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/lewtun/bert-base-uncased-finetuned-boolq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_finetuned_emotion_vasanth_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_finetuned_emotion_vasanth_en.md
new file mode 100644
index 000000000000..cd56ee48c19e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_finetuned_emotion_vasanth_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_emotion_vasanth BertForSequenceClassification from Vasanth
+author: John Snow Labs
+name: bert_base_uncased_finetuned_emotion_vasanth
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_emotion_vasanth` is a English model originally trained by Vasanth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_emotion_vasanth_en_5.1.4_3.4_1698812328407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_emotion_vasanth_en_5.1.4_3.4_1698812328407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_emotion_vasanth|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Vasanth/bert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_finetuned_sentiments_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_finetuned_sentiments_en.md
new file mode 100644
index 000000000000..1d88bbdba0a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_finetuned_sentiments_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_sentiments BertForSequenceClassification from RinInori
+author: John Snow Labs
+name: bert_base_uncased_finetuned_sentiments
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_sentiments` is a English model originally trained by RinInori.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sentiments_en_5.1.4_3.4_1698809733113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_sentiments_en_5.1.4_3.4_1698809733113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_sentiments|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/RinInori/bert-base-uncased_finetuned_sentiments
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_header_textsim_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_header_textsim_en.md
new file mode 100644
index 000000000000..f2773c9ac481
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_header_textsim_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_header_textsim BertForSequenceClassification from kaanakdeniz
+author: John Snow Labs
+name: bert_base_uncased_header_textsim
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_header_textsim` is a English model originally trained by kaanakdeniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_header_textsim_en_5.1.4_3.4_1698861281679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_header_textsim_en_5.1.4_3.4_1698861281679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_header_textsim|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/kaanakdeniz/bert_base_uncased_header_textsim
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_imdb_textattack_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_imdb_textattack_en.md
new file mode 100644
index 000000000000..1eb6dc82d10b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_imdb_textattack_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_imdb_textattack BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_imdb_textattack
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_imdb_textattack` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_imdb_textattack_en_5.1.4_3.4_1698809533724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_imdb_textattack_en_5.1.4_3.4_1698809533724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_imdb_textattack|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_en.md
new file mode 100644
index 000000000000..374bcc931708
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_mnli BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_mnli
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mnli` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_en_5.1.4_3.4_1698811194109.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_en_5.1.4_3.4_1698811194109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-MNLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_ishan_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_ishan_en.md
new file mode 100644
index 000000000000..f1bbe21647f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_ishan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_mnli_ishan BertForSequenceClassification from ishan
+author: John Snow Labs
+name: bert_base_uncased_mnli_ishan
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mnli_ishan` is a English model originally trained by ishan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_ishan_en_5.1.4_3.4_1698819074187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_ishan_en_5.1.4_3.4_1698819074187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mnli_ishan|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ishan/bert-base-uncased-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_modeltc_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_modeltc_en.md
new file mode 100644
index 000000000000..14d844c9dbb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_modeltc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_mnli_modeltc BertForSequenceClassification from ModelTC
+author: John Snow Labs
+name: bert_base_uncased_mnli_modeltc
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mnli_modeltc` is a English model originally trained by ModelTC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_modeltc_en_5.1.4_3.4_1698811199337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_modeltc_en_5.1.4_3.4_1698811199337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mnli_modeltc|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ModelTC/bert-base-uncased-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_yoshitomo_matsubara_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_yoshitomo_matsubara_en.md
new file mode 100644
index 000000000000..e09fd46b8a7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mnli_yoshitomo_matsubara_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_mnli_yoshitomo_matsubara BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_mnli_yoshitomo_matsubara
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mnli_yoshitomo_matsubara` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_yoshitomo_matsubara_en_5.1.4_3.4_1698803081169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mnli_yoshitomo_matsubara_en_5.1.4_3.4_1698803081169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mnli_yoshitomo_matsubara|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mrpc_modeltc_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mrpc_modeltc_en.md
new file mode 100644
index 000000000000..96ba19536127
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mrpc_modeltc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_mrpc_modeltc BertForSequenceClassification from ModelTC
+author: John Snow Labs
+name: bert_base_uncased_mrpc_modeltc
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mrpc_modeltc` is a English model originally trained by ModelTC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_modeltc_en_5.1.4_3.4_1698828860504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_modeltc_en_5.1.4_3.4_1698828860504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mrpc_modeltc|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ModelTC/bert-base-uncased-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mrpc_textattack_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mrpc_textattack_en.md
new file mode 100644
index 000000000000..0834f1cbf705
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mrpc_textattack_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_mrpc_textattack BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_mrpc_textattack
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mrpc_textattack` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_textattack_en_5.1.4_3.4_1698811019872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_textattack_en_5.1.4_3.4_1698811019872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mrpc_textattack|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-MRPC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mrpc_yoshitomo_matsubara_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mrpc_yoshitomo_matsubara_en.md
new file mode 100644
index 000000000000..5db2833361a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_mrpc_yoshitomo_matsubara_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_mrpc_yoshitomo_matsubara BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_mrpc_yoshitomo_matsubara
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_mrpc_yoshitomo_matsubara` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_yoshitomo_matsubara_en_5.1.4_3.4_1698812598411.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_mrpc_yoshitomo_matsubara_en_5.1.4_3.4_1698812598411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_mrpc_yoshitomo_matsubara|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_qnli_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_qnli_en.md
new file mode 100644
index 000000000000..9f9163cdc67d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_qnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_qnli BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_qnli
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_qnli` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qnli_en_5.1.4_3.4_1698813250680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qnli_en_5.1.4_3.4_1698813250680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_qnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-QNLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_qqp_textattack_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_qqp_textattack_en.md
new file mode 100644
index 000000000000..1c5bb5c8e8d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_qqp_textattack_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_qqp_textattack BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_qqp_textattack
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_qqp_textattack` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qqp_textattack_en_5.1.4_3.4_1698803610871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_qqp_textattack_en_5.1.4_3.4_1698803610871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_rotten_tomatoes|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+References
+
+https://huggingface.co/textattack/bert-base-uncased-rotten_tomatoes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_rte_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_rte_en.md
new file mode 100644
index 000000000000..e28ea39ac133
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_rte_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_rte BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_rte
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_rte` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_en_5.1.4_3.4_1698804584079.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_en_5.1.4_3.4_1698804584079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_rte|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-RTE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_rte_howey_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_rte_howey_en.md
new file mode 100644
index 000000000000..237554f88072
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_rte_howey_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_rte_howey BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_rte_howey
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_rte_howey` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_howey_en_5.1.4_3.4_1698811190189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_howey_en_5.1.4_3.4_1698811190189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_rte_howey|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/howey/bert-base-uncased-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_rte_yoshitomo_matsubara_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_rte_yoshitomo_matsubara_en.md
new file mode 100644
index 000000000000..c7b7dbe02de7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_rte_yoshitomo_matsubara_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_rte_yoshitomo_matsubara BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_rte_yoshitomo_matsubara
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_rte_yoshitomo_matsubara` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_yoshitomo_matsubara_en_5.1.4_3.4_1698836489621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_rte_yoshitomo_matsubara_en_5.1.4_3.4_1698836489621.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_rte_yoshitomo_matsubara|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_snli_textattack_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_snli_textattack_en.md
new file mode 100644
index 000000000000..fd6a882c379b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_snli_textattack_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_snli_textattack BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_snli_textattack
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_snli_textattack` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_snli_textattack_en_5.1.4_3.4_1698826540593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_snli_textattack_en_5.1.4_3.4_1698826540593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_snli_textattack|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-snli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst2_howey_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst2_howey_en.md
new file mode 100644
index 000000000000..092c7682e787
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst2_howey_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_howey BertForSequenceClassification from howey
+author: John Snow Labs
+name: bert_base_uncased_sst2_howey
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst2_howey` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_howey_en_5.1.4_3.4_1698808234409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_howey_en_5.1.4_3.4_1698808234409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst2_howey|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/howey/bert-base-uncased-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst2_modeltc_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst2_modeltc_en.md
new file mode 100644
index 000000000000..2c6453a4fec0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst2_modeltc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_modeltc BertForSequenceClassification from ModelTC
+author: John Snow Labs
+name: bert_base_uncased_sst2_modeltc
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst2_modeltc` is a English model originally trained by ModelTC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_modeltc_en_5.1.4_3.4_1698861856914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_modeltc_en_5.1.4_3.4_1698861856914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst2_modeltc|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ModelTC/bert-base-uncased-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst2_yoshitomo_matsubara_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst2_yoshitomo_matsubara_en.md
new file mode 100644
index 000000000000..92f6d469f533
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst2_yoshitomo_matsubara_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_sst2_yoshitomo_matsubara BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_sst2_yoshitomo_matsubara
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst2_yoshitomo_matsubara` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_yoshitomo_matsubara_en_5.1.4_3.4_1698808968150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst2_yoshitomo_matsubara_en_5.1.4_3.4_1698808968150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst2_yoshitomo_matsubara|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst_2_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst_2_en.md
new file mode 100644
index 000000000000..e94b567ca592
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sst_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_sst_2 BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_sst_2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sst_2` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst_2_en_5.1.4_3.4_1698808229890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sst_2_en_5.1.4_3.4_1698808229890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sst_2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-SST-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sts_b_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sts_b_en.md
new file mode 100644
index 000000000000..fd1d29be81ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_sts_b_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_sts_b BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_sts_b
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_sts_b` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sts_b_en_5.1.4_3.4_1698809295505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_sts_b_en_5.1.4_3.4_1698809295505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_sts_b|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-STS-B
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_stsb_yoshitomo_matsubara_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_stsb_yoshitomo_matsubara_en.md
new file mode 100644
index 000000000000..e1c0af019a2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_stsb_yoshitomo_matsubara_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_stsb_yoshitomo_matsubara BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_base_uncased_stsb_yoshitomo_matsubara
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_stsb_yoshitomo_matsubara` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_stsb_yoshitomo_matsubara_en_5.1.4_3.4_1698820050544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_stsb_yoshitomo_matsubara_en_5.1.4_3.4_1698820050544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_stsb_yoshitomo_matsubara|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-base-uncased-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_wnli_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_wnli_en.md
new file mode 100644
index 000000000000..c920f3856779
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_wnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_wnli BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_wnli
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_wnli` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_wnli_en_5.1.4_3.4_1698808053861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_wnli_en_5.1.4_3.4_1698808053861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_wnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-WNLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_yahoo_answers_topics_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_yahoo_answers_topics_en.md
new file mode 100644
index 000000000000..b33b28076543
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_yahoo_answers_topics_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_yahoo_answers_topics BertForSequenceClassification from fabriceyhc
+author: John Snow Labs
+name: bert_base_uncased_yahoo_answers_topics
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_yahoo_answers_topics` is a English model originally trained by fabriceyhc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_yahoo_answers_topics_en_5.1.4_3.4_1698808766199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_yahoo_answers_topics_en_5.1.4_3.4_1698808766199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_yahoo_answers_topics|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/fabriceyhc/bert-base-uncased-yahoo_answers_topics
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_yelp_polarity_textattack_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_yelp_polarity_textattack_en.md
new file mode 100644
index 000000000000..565c7d450213
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_base_uncased_yelp_polarity_textattack_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_base_uncased_yelp_polarity_textattack BertForSequenceClassification from textattack
+author: John Snow Labs
+name: bert_base_uncased_yelp_polarity_textattack
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_yelp_polarity_textattack` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_yelp_polarity_textattack_en_5.1.4_3.4_1698809720709.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_yelp_polarity_textattack_en_5.1.4_3.4_1698809720709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_yelp_polarity_textattack|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/textattack/bert-base-uncased-yelp-polarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_book_zipper_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_book_zipper_en.md
new file mode 100644
index 000000000000..7ab59c2ecaf5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_book_zipper_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_book_zipper BertForSequenceClassification from abragin
+author: John Snow Labs
+name: bert_book_zipper
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_book_zipper` is a English model originally trained by abragin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_book_zipper_en_5.1.4_3.4_1698833281207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_book_zipper_en_5.1.4_3.4_1698833281207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_eec_emotion|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Cameron/BERT-eec-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_election2020_twitter_stance_biden_ke_mlm_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_election2020_twitter_stance_biden_ke_mlm_en.md
new file mode 100644
index 000000000000..03cdf8a8dc59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_election2020_twitter_stance_biden_ke_mlm_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_election2020_twitter_stance_biden_ke_mlm BertForSequenceClassification from kornosk
+author: John Snow Labs
+name: bert_election2020_twitter_stance_biden_ke_mlm
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_election2020_twitter_stance_biden_ke_mlm` is a English model originally trained by kornosk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_election2020_twitter_stance_biden_ke_mlm_en_5.1.4_3.4_1698839222494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_election2020_twitter_stance_biden_ke_mlm_en_5.1.4_3.4_1698839222494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_election2020_twitter_stance_biden_ke_mlm|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/kornosk/bert-election2020-twitter-stance-biden-KE-MLM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_election2020_twitter_stance_trump_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_election2020_twitter_stance_trump_en.md
new file mode 100644
index 000000000000..2350dd73c156
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_election2020_twitter_stance_trump_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_election2020_twitter_stance_trump BertForSequenceClassification from kornosk
+author: John Snow Labs
+name: bert_election2020_twitter_stance_trump
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_election2020_twitter_stance_trump` is a English model originally trained by kornosk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_election2020_twitter_stance_trump_en_5.1.4_3.4_1698862770589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_election2020_twitter_stance_trump_en_5.1.4_3.4_1698862770589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_election2020_twitter_stance_trump|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.8 MB|
+
+## References
+
+https://huggingface.co/kornosk/bert-election2020-twitter-stance-trump
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_election2020_twitter_stance_trump_ke_mlm_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_election2020_twitter_stance_trump_ke_mlm_en.md
new file mode 100644
index 000000000000..b85069444d67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_election2020_twitter_stance_trump_ke_mlm_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_election2020_twitter_stance_trump_ke_mlm BertForSequenceClassification from kornosk
+author: John Snow Labs
+name: bert_election2020_twitter_stance_trump_ke_mlm
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_election2020_twitter_stance_trump_ke_mlm` is a English model originally trained by kornosk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_election2020_twitter_stance_trump_ke_mlm_en_5.1.4_3.4_1698812770635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_election2020_twitter_stance_trump_ke_mlm_en_5.1.4_3.4_1698812770635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_election2020_twitter_stance_trump_ke_mlm|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/kornosk/bert-election2020-twitter-stance-trump-KE-MLM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_emails_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_emails_en.md
new file mode 100644
index 000000000000..7373d20c2be9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_emails_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_emails BertForSequenceClassification from kudoshinichi
+author: John Snow Labs
+name: bert_emails
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emails` is a English model originally trained by kudoshinichi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emails_en_5.1.4_3.4_1698810378259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emails_en_5.1.4_3.4_1698810378259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emails|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|406.3 MB|
+
+## References
+
+https://huggingface.co/kudoshinichi/bert_emails
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_embedding_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_embedding_en.md
new file mode 100644
index 000000000000..000b037fdda9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_embedding_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_embedding BertForSequenceClassification from guialfaro
+author: John Snow Labs
+name: bert_embedding
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_embedding` is a English model originally trained by guialfaro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_embedding_en_5.1.4_3.4_1698826689586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_embedding_en_5.1.4_3.4_1698826689586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_embedding|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|387.0 MB|
+
+## References
+
+https://huggingface.co/guialfaro/bert-embedding
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_emotion_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_emotion_analysis_en.md
new file mode 100644
index 000000000000..21a05fa75f91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_emotion_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_emotion_analysis BertForSequenceClassification from mariogiordano
+author: John Snow Labs
+name: bert_emotion_analysis
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_analysis` is a English model originally trained by mariogiordano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_analysis_en_5.1.4_3.4_1698810422703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_analysis_en_5.1.4_3.4_1698810422703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotion_analysis|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/mariogiordano/Bert-emotion-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_fine_tuned_hatexplain_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_fine_tuned_hatexplain_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_fine_tuned_hatexplain_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_fine_tuned_hatexplain BertForSequenceClassification from pasan-SK
+author: John Snow Labs
+name: bert_fine_tuned_hatexplain
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_fine_tuned_hatexplain` is a English model originally trained by pasan-SK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_hatexplain_en_5.1.4_3.4_1698810505435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_fine_tuned_hatexplain_en_5.1.4_3.4_1698810505435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_fine_tuned_hatexplain|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/pasan-SK/bert-fine-tuned-hatexplain
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_finetuned_gender_classification_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_finetuned_gender_classification_en.md
new file mode 100644
index 000000000000..81a8bfc550a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_finetuned_gender_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_finetuned_gender_classification BertForSequenceClassification from Abderrahim2
+author: John Snow Labs
+name: bert_finetuned_gender_classification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_gender_classification` is a English model originally trained by Abderrahim2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_gender_classification_en_5.1.4_3.4_1698862743607.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_gender_classification_en_5.1.4_3.4_1698862743607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_gender_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Abderrahim2/bert-finetuned-gender_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_finetuned_imdb_katrin_kc_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_finetuned_imdb_katrin_kc_en.md
new file mode 100644
index 000000000000..0a9d351cafaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_finetuned_imdb_katrin_kc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_finetuned_imdb_katrin_kc BertForSequenceClassification from katrin-kc
+author: John Snow Labs
+name: bert_finetuned_imdb_katrin_kc
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_imdb_katrin_kc` is a English model originally trained by katrin-kc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_imdb_katrin_kc_en_5.1.4_3.4_1698861113680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_imdb_katrin_kc_en_5.1.4_3.4_1698861113680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_imdb_katrin_kc|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/katrin-kc/bert-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_french_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_french_en.md
new file mode 100644
index 000000000000..b3ba36999817
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_french_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_french BertForSequenceClassification from baayematar
+author: John Snow Labs
+name: bert_french
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_french` is a English model originally trained by baayematar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_french_en_5.1.4_3.4_1698870052101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_french_en_5.1.4_3.4_1698870052101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_french|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/baayematar/bert-french
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_ft_qqp_6ep_42_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_ft_qqp_6ep_42_en.md
new file mode 100644
index 000000000000..85eff3a0071c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_ft_qqp_6ep_42_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_ft_qqp_6ep_42 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: bert_ft_qqp_6ep_42
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ft_qqp_6ep_42` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ft_qqp_6ep_42_en_5.1.4_3.4_1698862984355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ft_qqp_6ep_42_en_5.1.4_3.4_1698862984355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ft_qqp_6ep_42|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Jeevesh8/bert_ft_qqp_6ep-42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_hatexplain_tum_nlp_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_hatexplain_tum_nlp_en.md
new file mode 100644
index 000000000000..b6fe9b4f2140
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_hatexplain_tum_nlp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_hatexplain_tum_nlp BertForSequenceClassification from tum-nlp
+author: John Snow Labs
+name: bert_hatexplain_tum_nlp
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_hatexplain_tum_nlp` is a English model originally trained by tum-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_hatexplain_tum_nlp_en_5.1.4_3.4_1698835846932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_hatexplain_tum_nlp_en_5.1.4_3.4_1698835846932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_hatexplain_tum_nlp|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/tum-nlp/bert-hateXplain
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_italian_uncased_iptc_headlines_it.md b/docs/_posts/ahmedlone127/2023-11-01-bert_italian_uncased_iptc_headlines_it.md
new file mode 100644
index 000000000000..08f3c558d69a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_italian_uncased_iptc_headlines_it.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Italian bert_italian_uncased_iptc_headlines BertForSequenceClassification from nlpodyssey
+author: John Snow Labs
+name: bert_italian_uncased_iptc_headlines
+date: 2023-11-01
+tags: [bert, it, open_source, sequence_classification, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_italian_uncased_iptc_headlines` is a Italian model originally trained by nlpodyssey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_italian_uncased_iptc_headlines_it_5.1.4_3.4_1698814021963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_italian_uncased_iptc_headlines_it_5.1.4_3.4_1698814021963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_italian_uncased_iptc_headlines|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/nlpodyssey/bert-italian-uncased-iptc-headlines
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_jigsaw_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_jigsaw_en.md
new file mode 100644
index 000000000000..3d397c8a89ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_jigsaw_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_jigsaw BertForSequenceClassification from Cameron
+author: John Snow Labs
+name: bert_jigsaw
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_jigsaw` is a English model originally trained by Cameron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_jigsaw_en_5.1.4_3.4_1698861256639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_jigsaw_en_5.1.4_3.4_1698861256639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_jigsaw|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Cameron/BERT-Jigsaw
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_jigsaw_identityhate_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_jigsaw_identityhate_en.md
new file mode 100644
index 000000000000..a2221a581dbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_jigsaw_identityhate_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_jigsaw_identityhate BertForSequenceClassification from Cameron
+author: John Snow Labs
+name: bert_jigsaw_identityhate
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_jigsaw_identityhate` is a English model originally trained by Cameron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_jigsaw_identityhate_en_5.1.4_3.4_1698830302627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_jigsaw_identityhate_en_5.1.4_3.4_1698830302627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_jigsaw_identityhate|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Cameron/BERT-jigsaw-identityhate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_large_legal_sentence_classification_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_large_legal_sentence_classification_en.md
new file mode 100644
index 000000000000..414ad1ac8057
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_large_legal_sentence_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_legal_sentence_classification BertForSequenceClassification from samkas125
+author: John Snow Labs
+name: bert_large_legal_sentence_classification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_legal_sentence_classification` is a English model originally trained by samkas125.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_legal_sentence_classification_en_5.1.4_3.4_1698812412977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_legal_sentence_classification_en_5.1.4_3.4_1698812412977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_portuguese_cased_assin2_similarity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ruanchaves/bert-large-portuguese-cased-assin2-similarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_cola_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_cola_en.md
new file mode 100644
index 000000000000..58055ada6766
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_cola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_cola BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_large_uncased_cola
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_cola` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_cola_en_5.1.4_3.4_1698860993115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_cola_en_5.1.4_3.4_1698860993115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_cola|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-large-uncased-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_mnli_yoshitomo_matsubara_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_mnli_yoshitomo_matsubara_en.md
new file mode 100644
index 000000000000..a86e9c16ef9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_mnli_yoshitomo_matsubara_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_mnli_yoshitomo_matsubara BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_large_uncased_mnli_yoshitomo_matsubara
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_mnli_yoshitomo_matsubara` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_mnli_yoshitomo_matsubara_en_5.1.4_3.4_1698813845296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_mnli_yoshitomo_matsubara_en_5.1.4_3.4_1698813845296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_mnli_yoshitomo_matsubara|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-large-uncased-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_qnli_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_qnli_en.md
new file mode 100644
index 000000000000..0df42c19e4fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_qnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_qnli BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_large_uncased_qnli
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_qnli` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_qnli_en_5.1.4_3.4_1698808580293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_qnli_en_5.1.4_3.4_1698808580293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_qnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-large-uncased-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_qqp_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_qqp_en.md
new file mode 100644
index 000000000000..0fa4febf33f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_qqp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_qqp BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_large_uncased_qqp
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_qqp` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_qqp_en_5.1.4_3.4_1698807486905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_qqp_en_5.1.4_3.4_1698807486905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_qqp|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-large-uncased-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_rte_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_rte_en.md
new file mode 100644
index 000000000000..89ffaf5c9bca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_rte_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_rte BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_large_uncased_rte
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_rte` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_rte_en_5.1.4_3.4_1698805308603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_rte_en_5.1.4_3.4_1698805308603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_rte|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-large-uncased-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_wwm_finetuned_boolq_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_wwm_finetuned_boolq_en.md
new file mode 100644
index 000000000000..82209a6c545b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_large_uncased_wwm_finetuned_boolq_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_large_uncased_wwm_finetuned_boolq BertForSequenceClassification from lewtun
+author: John Snow Labs
+name: bert_large_uncased_wwm_finetuned_boolq
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_wwm_finetuned_boolq` is a English model originally trained by lewtun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_wwm_finetuned_boolq_en_5.1.4_3.4_1698861451713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_wwm_finetuned_boolq_en_5.1.4_3.4_1698861451713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_wwm_finetuned_boolq|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/lewtun/bert-large-uncased-wwm-finetuned-boolq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_m_agnews_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_m_agnews_en.md
new file mode 100644
index 000000000000..7052a7be23ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_m_agnews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_m_agnews BertForSequenceClassification from tzhao3
+author: John Snow Labs
+name: bert_m_agnews
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_m_agnews` is a English model originally trained by tzhao3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_m_agnews_en_5.1.4_3.4_1698806366734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_m_agnews_en_5.1.4_3.4_1698806366734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_m_agnews|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|155.2 MB|
+
+## References
+
+https://huggingface.co/tzhao3/Bert-M-AGnews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_m_sst2_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_m_sst2_en.md
new file mode 100644
index 000000000000..cafd758f3ca6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_m_sst2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_m_sst2 BertForSequenceClassification from tzhao3
+author: John Snow Labs
+name: bert_m_sst2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_m_sst2` is a English model originally trained by tzhao3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_m_sst2_en_5.1.4_3.4_1698804274259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_m_sst2_en_5.1.4_3.4_1698804274259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_m_sst2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|154.7 MB|
+
+## References
+
+https://huggingface.co/tzhao3/Bert-M-SST2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_medium_mnli_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_medium_mnli_en.md
new file mode 100644
index 000000000000..29c66ea94c85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_medium_mnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_medium_mnli BertForSequenceClassification from prajjwal1
+author: John Snow Labs
+name: bert_medium_mnli
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_medium_mnli` is a English model originally trained by prajjwal1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_medium_mnli_en_5.1.4_3.4_1698804574624.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_medium_mnli_en_5.1.4_3.4_1698804574624.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_medium_mnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|155.2 MB|
+
+## References
+
+https://huggingface.co/prajjwal1/bert-medium-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_mini_finetune_question_detection_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_mini_finetune_question_detection_en.md
new file mode 100644
index 000000000000..b9e821609e76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_mini_finetune_question_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_mini_finetune_question_detection BertForSequenceClassification from shahrukhx01
+author: John Snow Labs
+name: bert_mini_finetune_question_detection
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mini_finetune_question_detection` is a English model originally trained by shahrukhx01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mini_finetune_question_detection_en_5.1.4_3.4_1698803310550.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mini_finetune_question_detection_en_5.1.4_3.4_1698803310550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_mini_finetune_question_detection|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/shahrukhx01/bert-mini-finetune-question-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_mnli_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_mnli_classifier_en.md
new file mode 100644
index 000000000000..117c859c2d3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_mnli_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_mnli_classifier BertForSequenceClassification from gayanin
+author: John Snow Labs
+name: bert_mnli_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mnli_classifier` is a English model originally trained by gayanin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mnli_classifier_en_5.1.4_3.4_1698842072786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mnli_classifier_en_5.1.4_3.4_1698842072786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_multilingual_uncased_geo_countries_headlines|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|628.4 MB|
+
+## References
+
+https://huggingface.co/nlpodyssey/bert-multilingual-uncased-geo-countries-headlines
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_multitask_query_classifiers_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_multitask_query_classifiers_en.md
new file mode 100644
index 000000000000..cc1c148f9789
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_multitask_query_classifiers_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_multitask_query_classifiers BertForSequenceClassification from shahrukhx01
+author: John Snow Labs
+name: bert_multitask_query_classifiers
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_multitask_query_classifiers` is a English model originally trained by shahrukhx01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_multitask_query_classifiers_en_5.1.4_3.4_1698803184402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_multitask_query_classifiers_en_5.1.4_3.4_1698803184402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_multitask_query_classifiers|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/shahrukhx01/bert-multitask-query-classifiers
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_portuguese_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_portuguese_emotion_en.md
new file mode 100644
index 000000000000..a5c2fe870afc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_portuguese_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_portuguese_emotion BertForSequenceClassification from pysentimiento
+author: John Snow Labs
+name: bert_portuguese_emotion
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_portuguese_emotion` is a English model originally trained by pysentimiento.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_portuguese_emotion_en_5.1.4_3.4_1698814235638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_portuguese_emotion_en_5.1.4_3.4_1698814235638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_portuguese_emotion|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/pysentimiento/bert-pt-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_resume_job_recommender_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_resume_job_recommender_en.md
new file mode 100644
index 000000000000..68e6f18f6666
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_resume_job_recommender_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_resume_job_recommender BertForSequenceClassification from liberatoratif
+author: John Snow Labs
+name: bert_resume_job_recommender
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_resume_job_recommender` is a English model originally trained by liberatoratif.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_resume_job_recommender_en_5.1.4_3.4_1698816075387.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_resume_job_recommender_en_5.1.4_3.4_1698816075387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_roman_urdu|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ur|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/YYAH/Bert_Roman_Urdu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_seq_training_model_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_seq_training_model_en.md
new file mode 100644
index 000000000000..682e7d284b15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_seq_training_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_seq_training_model BertForSequenceClassification from Brecon
+author: John Snow Labs
+name: bert_seq_training_model
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_seq_training_model` is a English model originally trained by Brecon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_seq_training_model_en_5.1.4_3.4_1698814060001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_seq_training_model_en_5.1.4_3.4_1698814060001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sequence_classifier_multi2convai_corona_english_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/inovex/multi2convai-corona-en-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_corona_german_bert_de.md b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_corona_german_bert_de.md
new file mode 100644
index 000000000000..116bd1309199
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_corona_german_bert_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German bert_sequence_classifier_multi2convai_corona_german_bert BertForSequenceClassification from inovex
+author: John Snow Labs
+name: bert_sequence_classifier_multi2convai_corona_german_bert
+date: 2023-11-01
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sequence_classifier_multi2convai_corona_german_bert` is a German model originally trained by inovex.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_corona_german_bert_de_5.1.4_3.4_1698803196024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_corona_german_bert_de_5.1.4_3.4_1698803196024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sequence_classifier_multi2convai_corona_german_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/inovex/multi2convai-corona-de-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_corona_italian_bert_it.md b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_corona_italian_bert_it.md
new file mode 100644
index 000000000000..873a83d0349d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_corona_italian_bert_it.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Italian bert_sequence_classifier_multi2convai_corona_italian_bert BertForSequenceClassification from inovex
+author: John Snow Labs
+name: bert_sequence_classifier_multi2convai_corona_italian_bert
+date: 2023-11-01
+tags: [bert, it, open_source, sequence_classification, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sequence_classifier_multi2convai_corona_italian_bert` is a Italian model originally trained by inovex.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_corona_italian_bert_it_5.1.4_3.4_1698803359952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_corona_italian_bert_it_5.1.4_3.4_1698803359952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sequence_classifier_multi2convai_corona_italian_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/inovex/multi2convai-corona-it-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_logistics_english_bert_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_logistics_english_bert_en.md
new file mode 100644
index 000000000000..c86fd37ddf44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_logistics_english_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_sequence_classifier_multi2convai_logistics_english_bert BertForSequenceClassification from inovex
+author: John Snow Labs
+name: bert_sequence_classifier_multi2convai_logistics_english_bert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sequence_classifier_multi2convai_logistics_english_bert` is a English model originally trained by inovex.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_logistics_english_bert_en_5.1.4_3.4_1698810551760.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_logistics_english_bert_en_5.1.4_3.4_1698810551760.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sequence_classifier_multi2convai_logistics_english_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/inovex/multi2convai-logistics-en-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_logistics_german_bert_de.md b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_logistics_german_bert_de.md
new file mode 100644
index 000000000000..7aac061b4648
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_logistics_german_bert_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German bert_sequence_classifier_multi2convai_logistics_german_bert BertForSequenceClassification from inovex
+author: John Snow Labs
+name: bert_sequence_classifier_multi2convai_logistics_german_bert
+date: 2023-11-01
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sequence_classifier_multi2convai_logistics_german_bert` is a German model originally trained by inovex.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_logistics_german_bert_de_5.1.4_3.4_1698804585957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_logistics_german_bert_de_5.1.4_3.4_1698804585957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sequence_classifier_multi2convai_quality_french_mbert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|fr|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/inovex/multi2convai-quality-fr-mbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_quality_german_bert_de.md b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_quality_german_bert_de.md
new file mode 100644
index 000000000000..73dbab5991b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_quality_german_bert_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German bert_sequence_classifier_multi2convai_quality_german_bert BertForSequenceClassification from inovex
+author: John Snow Labs
+name: bert_sequence_classifier_multi2convai_quality_german_bert
+date: 2023-11-01
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sequence_classifier_multi2convai_quality_german_bert` is a German model originally trained by inovex.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_quality_german_bert_de_5.1.4_3.4_1698804795775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_quality_german_bert_de_5.1.4_3.4_1698804795775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sequence_classifier_multi2convai_quality_german_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/inovex/multi2convai-quality-de-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_quality_italian_bert_it.md b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_quality_italian_bert_it.md
new file mode 100644
index 000000000000..51317e891c19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_quality_italian_bert_it.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Italian bert_sequence_classifier_multi2convai_quality_italian_bert BertForSequenceClassification from inovex
+author: John Snow Labs
+name: bert_sequence_classifier_multi2convai_quality_italian_bert
+date: 2023-11-01
+tags: [bert, it, open_source, sequence_classification, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sequence_classifier_multi2convai_quality_italian_bert` is a Italian model originally trained by inovex.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_quality_italian_bert_it_5.1.4_3.4_1698797154893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_quality_italian_bert_it_5.1.4_3.4_1698797154893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sequence_classifier_multi2convai_quality_italian_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/inovex/multi2convai-quality-it-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_quality_italian_mbert_it.md b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_quality_italian_mbert_it.md
new file mode 100644
index 000000000000..144b6f20ab02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_sequence_classifier_multi2convai_quality_italian_mbert_it.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Italian bert_sequence_classifier_multi2convai_quality_italian_mbert BertForSequenceClassification from inovex
+author: John Snow Labs
+name: bert_sequence_classifier_multi2convai_quality_italian_mbert
+date: 2023-11-01
+tags: [bert, it, open_source, sequence_classification, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sequence_classifier_multi2convai_quality_italian_mbert` is a Italian model originally trained by inovex.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_quality_italian_mbert_it_5.1.4_3.4_1698803601667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_multi2convai_quality_italian_mbert_it_5.1.4_3.4_1698803601667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sst2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/tzhao3/Bert-SST2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_emotion_intent_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_emotion_intent_en.md
new file mode 100644
index 000000000000..32816b6144fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_emotion_intent_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_tiny_emotion_intent BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_tiny_emotion_intent
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_emotion_intent` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_emotion_intent_en_5.1.4_3.4_1698814737401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_emotion_intent_en_5.1.4_3.4_1698814737401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_emotion_intent|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/BERT-tiny-emotion-intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_finetuned_enron_spam_detection_mrm8488_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_finetuned_enron_spam_detection_mrm8488_en.md
new file mode 100644
index 000000000000..1ae0dbd17e48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_finetuned_enron_spam_detection_mrm8488_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_tiny_finetuned_enron_spam_detection_mrm8488 BertForSequenceClassification from mrm8488
+author: John Snow Labs
+name: bert_tiny_finetuned_enron_spam_detection_mrm8488
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_finetuned_enron_spam_detection_mrm8488` is a English model originally trained by mrm8488.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_enron_spam_detection_mrm8488_en_5.1.4_3.4_1698815131721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_enron_spam_detection_mrm8488_en_5.1.4_3.4_1698815131721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_finetuned_enron_spam_detection_mrm8488|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/mrm8488/bert-tiny-finetuned-enron-spam-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_ita_lemma_classification_it.md b/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_ita_lemma_classification_it.md
new file mode 100644
index 000000000000..d5aa26d8b1a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_ita_lemma_classification_it.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Italian bert_tiny_ita_lemma_classification BertForSequenceClassification from mascIT
+author: John Snow Labs
+name: bert_tiny_ita_lemma_classification
+date: 2023-11-01
+tags: [bert, it, open_source, sequence_classification, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_ita_lemma_classification` is a Italian model originally trained by mascIT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_ita_lemma_classification_it_5.1.4_3.4_1698846121649.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_ita_lemma_classification_it_5.1.4_3.4_1698846121649.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_ita_lemma_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|11.6 MB|
+
+## References
+
+https://huggingface.co/mascIT/bert-tiny-ita-lemma-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_mnli_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_mnli_en.md
new file mode 100644
index 000000000000..443b36ba422b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_mnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_tiny_mnli BertForSequenceClassification from prajjwal1
+author: John Snow Labs
+name: bert_tiny_mnli
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_mnli` is a English model originally trained by prajjwal1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_mnli_en_5.1.4_3.4_1698816448242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_mnli_en_5.1.4_3.4_1698816448242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_mnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/prajjwal1/bert-tiny-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_sst2_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_sst2_en.md
new file mode 100644
index 000000000000..1c50c108afcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_tiny_sst2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_tiny_sst2 BertForSequenceClassification from gokuls
+author: John Snow Labs
+name: bert_tiny_sst2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_sst2` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_sst2_en_5.1.4_3.4_1698810110260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_sst2_en_5.1.4_3.4_1698810110260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_sst2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/BERT-tiny-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_xnli_german_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_xnli_german_classifier_en.md
new file mode 100644
index 000000000000..697fec00aff8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_xnli_german_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_xnli_german_classifier BertForSequenceClassification from gayanin
+author: John Snow Labs
+name: bert_xnli_german_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_xnli_german_classifier` is a English model originally trained by gayanin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_xnli_german_classifier_en_5.1.4_3.4_1698805963337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_xnli_german_classifier_en_5.1.4_3.4_1698805963337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_xnli_german_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/gayanin/bert-xnli-de-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bert_xnli_spanish_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-bert_xnli_spanish_classifier_en.md
new file mode 100644
index 000000000000..0bc2ef33653b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bert_xnli_spanish_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_xnli_spanish_classifier BertForSequenceClassification from gayanin
+author: John Snow Labs
+name: bert_xnli_spanish_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_xnli_spanish_classifier` is a English model originally trained by gayanin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_xnli_spanish_classifier_en_5.1.4_3.4_1698813716284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_xnli_spanish_classifier_en_5.1.4_3.4_1698813716284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertimbau_base_finetuned_lener_breton_finetuned_brazilian_court_decisions|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/Luciano/bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-beto_ciuo08cl_4d_en.md b/docs/_posts/ahmedlone127/2023-11-01-beto_ciuo08cl_4d_en.md
new file mode 100644
index 000000000000..729ae0595f98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-beto_ciuo08cl_4d_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English beto_ciuo08cl_4d BertForSequenceClassification from WIC-Uchile
+author: John Snow Labs
+name: beto_ciuo08cl_4d
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beto_ciuo08cl_4d` is a English model originally trained by WIC-Uchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_ciuo08cl_4d_en_5.1.4_3.4_1698805753787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_ciuo08cl_4d_en_5.1.4_3.4_1698805753787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_sentiment_analysis_spanish|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/edumunozsala/beto_sentiment_analysis_es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bibert_subjectivity_en.md b/docs/_posts/ahmedlone127/2023-11-01-bibert_subjectivity_en.md
new file mode 100644
index 000000000000..a9f8d472da54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bibert_subjectivity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bibert_subjectivity BertForSequenceClassification from HCKLab
+author: John Snow Labs
+name: bibert_subjectivity
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bibert_subjectivity` is a English model originally trained by HCKLab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bibert_subjectivity_en_5.1.4_3.4_1698862578236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bibert_subjectivity_en_5.1.4_3.4_1698862578236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bibert_subjectivity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/HCKLab/BiBert-Subjectivity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-binary_question_classifier_bert_en.md b/docs/_posts/ahmedlone127/2023-11-01-binary_question_classifier_bert_en.md
new file mode 100644
index 000000000000..246143f3bdf5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-binary_question_classifier_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English binary_question_classifier_bert BertForSequenceClassification from ndavid
+author: John Snow Labs
+name: binary_question_classifier_bert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`binary_question_classifier_bert` is a English model originally trained by ndavid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/binary_question_classifier_bert_en_5.1.4_3.4_1698860889018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/binary_question_classifier_bert_en_5.1.4_3.4_1698860889018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|binary_question_classifier_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ndavid/binary-question-classifier-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bio_clinicalbert_finetuned_medicalcondition_en.md b/docs/_posts/ahmedlone127/2023-11-01-bio_clinicalbert_finetuned_medicalcondition_en.md
new file mode 100644
index 000000000000..2f345ed83c4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bio_clinicalbert_finetuned_medicalcondition_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bio_clinicalbert_finetuned_medicalcondition BertForSequenceClassification from sid321axn
+author: John Snow Labs
+name: bio_clinicalbert_finetuned_medicalcondition
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bio_clinicalbert_finetuned_medicalcondition` is a English model originally trained by sid321axn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_finetuned_medicalcondition_en_5.1.4_3.4_1698814499367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_finetuned_medicalcondition_en_5.1.4_3.4_1698814499367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bio_clinicalbert_finetuned_medicalcondition|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/sid321axn/Bio_ClinicalBERT-finetuned-medicalcondition
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bio_clinicalbert_zero_shot_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-01-bio_clinicalbert_zero_shot_sentiment_model_en.md
new file mode 100644
index 000000000000..a4d199907915
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bio_clinicalbert_zero_shot_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bio_clinicalbert_zero_shot_sentiment_model BertForSequenceClassification from okho0653
+author: John Snow Labs
+name: bio_clinicalbert_zero_shot_sentiment_model
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bio_clinicalbert_zero_shot_sentiment_model` is a English model originally trained by okho0653.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_zero_shot_sentiment_model_en_5.1.4_3.4_1698813506029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_zero_shot_sentiment_model_en_5.1.4_3.4_1698813506029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bio_clinicalbert_zero_shot_sentiment_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/okho0653/Bio_ClinicalBERT-zero-shot-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-biobert_icd10_l3_en.md b/docs/_posts/ahmedlone127/2023-11-01-biobert_icd10_l3_en.md
new file mode 100644
index 000000000000..7c92610a49d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-biobert_icd10_l3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English biobert_icd10_l3 BertForSequenceClassification from rjac
+author: John Snow Labs
+name: biobert_icd10_l3
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_icd10_l3` is a English model originally trained by rjac.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_icd10_l3_en_5.1.4_3.4_1698804914293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_icd10_l3_en_5.1.4_3.4_1698804914293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_icd10_l3|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|406.1 MB|
+
+## References
+
+https://huggingface.co/rjac/biobert-ICD10-L3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-biobert_icd10_l3_mimic_en.md b/docs/_posts/ahmedlone127/2023-11-01-biobert_icd10_l3_mimic_en.md
new file mode 100644
index 000000000000..3e550c639b3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-biobert_icd10_l3_mimic_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English biobert_icd10_l3_mimic BertForSequenceClassification from rjac
+author: John Snow Labs
+name: biobert_icd10_l3_mimic
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_icd10_l3_mimic` is a English model originally trained by rjac.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_icd10_l3_mimic_en_5.1.4_3.4_1698818952755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_icd10_l3_mimic_en_5.1.4_3.4_1698818952755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_icd10_l3_mimic|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.8 MB|
+
+## References
+
+https://huggingface.co/rjac/biobert-ICD10-L3-mimic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-biobertrelationgenesdiseases_en.md b/docs/_posts/ahmedlone127/2023-11-01-biobertrelationgenesdiseases_en.md
new file mode 100644
index 000000000000..0d640a6e8437
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-biobertrelationgenesdiseases_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English biobertrelationgenesdiseases BertForSequenceClassification from JacopoBandoni
+author: John Snow Labs
+name: biobertrelationgenesdiseases
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobertrelationgenesdiseases` is a English model originally trained by JacopoBandoni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobertrelationgenesdiseases_en_5.1.4_3.4_1698820036374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobertrelationgenesdiseases_en_5.1.4_3.4_1698820036374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobertrelationgenesdiseases|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.3 MB|
+
+## References
+
+https://huggingface.co/JacopoBandoni/BioBertRelationGenesDiseases
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bioformer_8l_qnli_en.md b/docs/_posts/ahmedlone127/2023-11-01-bioformer_8l_qnli_en.md
new file mode 100644
index 000000000000..b1a7d03675b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bioformer_8l_qnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bioformer_8l_qnli BertForSequenceClassification from bioformers
+author: John Snow Labs
+name: bioformer_8l_qnli
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bioformer_8l_qnli` is a English model originally trained by bioformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bioformer_8l_qnli_en_5.1.4_3.4_1698815009192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bioformer_8l_qnli_en_5.1.4_3.4_1698815009192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bioformer_8l_qnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|159.5 MB|
+
+## References
+
+https://huggingface.co/bioformers/bioformer-8L-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-biolinkbert_large_mnli_snli_en.md b/docs/_posts/ahmedlone127/2023-11-01-biolinkbert_large_mnli_snli_en.md
new file mode 100644
index 000000000000..b9422fd066a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-biolinkbert_large_mnli_snli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English biolinkbert_large_mnli_snli BertForSequenceClassification from cnut1648
+author: John Snow Labs
+name: biolinkbert_large_mnli_snli
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biolinkbert_large_mnli_snli` is a English model originally trained by cnut1648.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biolinkbert_large_mnli_snli_en_5.1.4_3.4_1698812180297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biolinkbert_large_mnli_snli_en_5.1.4_3.4_1698812180297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biolinkbert_large_mnli_snli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/cnut1648/biolinkbert-large-mnli-snli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_mnli_en.md b/docs/_posts/ahmedlone127/2023-11-01-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_mnli_en.md
new file mode 100644
index 000000000000..b67fb9e2531a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_mnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_mnli BertForSequenceClassification from lighteternal
+author: John Snow Labs
+name: biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_mnli
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_mnli` is a English model originally trained by lighteternal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_mnli_en_5.1.4_3.4_1698811724194.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_mnli_en_5.1.4_3.4_1698811724194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_mnli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/lighteternal/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_textclassification_en.md b/docs/_posts/ahmedlone127/2023-11-01-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_textclassification_en.md
new file mode 100644
index 000000000000..351e4ad4a667
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_textclassification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_textclassification BertForSequenceClassification from Kekelilii
+author: John Snow Labs
+name: biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_textclassification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_textclassification` is a English model originally trained by Kekelilii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_textclassification_en_5.1.4_3.4_1698836722487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_textclassification_en_5.1.4_3.4_1698836722487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_base_uncased_abstract_fulltext_finetuned_textclassification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/Kekelilii/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext_finetuned_TextClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bleurt_base_512_en.md b/docs/_posts/ahmedlone127/2023-11-01-bleurt_base_512_en.md
new file mode 100644
index 000000000000..456554a77c72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bleurt_base_512_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bleurt_base_512 BertForSequenceClassification from Elron
+author: John Snow Labs
+name: bleurt_base_512
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bleurt_base_512` is a English model originally trained by Elron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bleurt_base_512_en_5.1.4_3.4_1698816807874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bleurt_base_512_en_5.1.4_3.4_1698816807874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bleurt_base_512|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/Elron/bleurt-base-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bleurt_large_128_en.md b/docs/_posts/ahmedlone127/2023-11-01-bleurt_large_128_en.md
new file mode 100644
index 000000000000..584b275d15de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bleurt_large_128_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bleurt_large_128 BertForSequenceClassification from Elron
+author: John Snow Labs
+name: bleurt_large_128
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bleurt_large_128` is a English model originally trained by Elron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bleurt_large_128_en_5.1.4_3.4_1698829427298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bleurt_large_128_en_5.1.4_3.4_1698829427298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bleurt_large_128|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Elron/bleurt-large-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bleurt_tiny_128_en.md b/docs/_posts/ahmedlone127/2023-11-01-bleurt_tiny_128_en.md
new file mode 100644
index 000000000000..6f07fcc007a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bleurt_tiny_128_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bleurt_tiny_128 BertForSequenceClassification from Elron
+author: John Snow Labs
+name: bleurt_tiny_128
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bleurt_tiny_128` is a English model originally trained by Elron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bleurt_tiny_128_en_5.1.4_3.4_1698806050055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bleurt_tiny_128_en_5.1.4_3.4_1698806050055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bleurt_tiny_128|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/Elron/bleurt-tiny-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-bleurt_tiny_512_en.md b/docs/_posts/ahmedlone127/2023-11-01-bleurt_tiny_512_en.md
new file mode 100644
index 000000000000..56cb573a1a26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-bleurt_tiny_512_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bleurt_tiny_512 BertForSequenceClassification from Elron
+author: John Snow Labs
+name: bleurt_tiny_512
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bleurt_tiny_512` is a English model originally trained by Elron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bleurt_tiny_512_en_5.1.4_3.4_1698809112093.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bleurt_tiny_512_en_5.1.4_3.4_1698809112093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bleurt_tiny_512|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/Elron/bleurt-tiny-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-category_categorization_en.md b/docs/_posts/ahmedlone127/2023-11-01-category_categorization_en.md
new file mode 100644
index 000000000000..9c7b9da1398f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-category_categorization_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English category_categorization BertForSequenceClassification from cihan-lyons
+author: John Snow Labs
+name: category_categorization
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`category_categorization` is a English model originally trained by cihan-lyons.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/category_categorization_en_5.1.4_3.4_1698846572678.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/category_categorization_en_5.1.4_3.4_1698846572678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|category_categorization|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/cihan-lyons/category-categorization
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-category_of_article_bert_nepal_bhasa_en.md b/docs/_posts/ahmedlone127/2023-11-01-category_of_article_bert_nepal_bhasa_en.md
new file mode 100644
index 000000000000..f9bb65c72c96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-category_of_article_bert_nepal_bhasa_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English category_of_article_bert_nepal_bhasa BertForSequenceClassification from priyabrat
+author: John Snow Labs
+name: category_of_article_bert_nepal_bhasa
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`category_of_article_bert_nepal_bhasa` is a English model originally trained by priyabrat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/category_of_article_bert_nepal_bhasa_en_5.1.4_3.4_1698840984170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/category_of_article_bert_nepal_bhasa_en_5.1.4_3.4_1698840984170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chatgpt_qa_detector_roberta_chinese|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/Hello-SimpleAI/chatgpt-qa-detector-roberta-chinese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-chemical_bert_uncased_pharmaceutical_chemical_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-chemical_bert_uncased_pharmaceutical_chemical_classifier_en.md
new file mode 100644
index 000000000000..6ed8e2fe65c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-chemical_bert_uncased_pharmaceutical_chemical_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chemical_bert_uncased_pharmaceutical_chemical_classifier BertForSequenceClassification from recobo
+author: John Snow Labs
+name: chemical_bert_uncased_pharmaceutical_chemical_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chemical_bert_uncased_pharmaceutical_chemical_classifier` is a English model originally trained by recobo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chemical_bert_uncased_pharmaceutical_chemical_classifier_en_5.1.4_3.4_1698829715831.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chemical_bert_uncased_pharmaceutical_chemical_classifier_en_5.1.4_3.4_1698829715831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chemical_bert_uncased_pharmaceutical_chemical_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.3 MB|
+
+## References
+
+https://huggingface.co/recobo/chemical-bert-uncased-pharmaceutical-chemical-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-chinese_macbert_base_text_classification_en.md b/docs/_posts/ahmedlone127/2023-11-01-chinese_macbert_base_text_classification_en.md
new file mode 100644
index 000000000000..269663749044
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-chinese_macbert_base_text_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chinese_macbert_base_text_classification BertForSequenceClassification from CeroShrijver
+author: John Snow Labs
+name: chinese_macbert_base_text_classification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_macbert_base_text_classification` is a English model originally trained by CeroShrijver.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_macbert_base_text_classification_en_5.1.4_3.4_1698827688712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_macbert_base_text_classification_en_5.1.4_3.4_1698827688712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_macbert_base_text_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/CeroShrijver/chinese-macbert-base-text-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-chinesesequenceclassification_en.md b/docs/_posts/ahmedlone127/2023-11-01-chinesesequenceclassification_en.md
new file mode 100644
index 000000000000..ae83dcbbfffb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-chinesesequenceclassification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chinesesequenceclassification BertForSequenceClassification from LeoFeng
+author: John Snow Labs
+name: chinesesequenceclassification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinesesequenceclassification` is a English model originally trained by LeoFeng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinesesequenceclassification_en_5.1.4_3.4_1698867629281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinesesequenceclassification_en_5.1.4_3.4_1698867629281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinesesequenceclassification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.1 MB|
+
+## References
+
+https://huggingface.co/LeoFeng/ChineseSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-clf_bert_e_en.md b/docs/_posts/ahmedlone127/2023-11-01-clf_bert_e_en.md
new file mode 100644
index 000000000000..e8e186d5aa94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-clf_bert_e_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English clf_bert_e BertForSequenceClassification from nllg
+author: John Snow Labs
+name: clf_bert_e
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clf_bert_e` is a English model originally trained by nllg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clf_bert_e_en_5.1.4_3.4_1698827140305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clf_bert_e_en_5.1.4_3.4_1698827140305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codeswitch_spaeng_sentiment_analysis_lince|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/sagorsarker/codeswitch-spaeng-sentiment-analysis-lince
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-comment_detection_prop_16_en.md b/docs/_posts/ahmedlone127/2023-11-01-comment_detection_prop_16_en.md
new file mode 100644
index 000000000000..7c4e1cc40761
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-comment_detection_prop_16_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English comment_detection_prop_16 BertForSequenceClassification from ultra-coder54732
+author: John Snow Labs
+name: comment_detection_prop_16
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`comment_detection_prop_16` is a English model originally trained by ultra-coder54732.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/comment_detection_prop_16_en_5.1.4_3.4_1698862307459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/comment_detection_prop_16_en_5.1.4_3.4_1698862307459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|comment_detection_prop_16|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/ultra-coder54732/comment-detection-prop-16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-community_sentiment_bert_en.md b/docs/_posts/ahmedlone127/2023-11-01-community_sentiment_bert_en.md
new file mode 100644
index 000000000000..9a2f995029d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-community_sentiment_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English community_sentiment_bert BertForSequenceClassification from KernAI
+author: John Snow Labs
+name: community_sentiment_bert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`community_sentiment_bert` is a English model originally trained by KernAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/community_sentiment_bert_en_5.1.4_3.4_1698805506687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/community_sentiment_bert_en_5.1.4_3.4_1698805506687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|community_sentiment_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/KernAI/community-sentiment-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-convxai_diversity_model_en.md b/docs/_posts/ahmedlone127/2023-11-01-convxai_diversity_model_en.md
new file mode 100644
index 000000000000..e544f9421af1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-convxai_diversity_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English convxai_diversity_model BertForSequenceClassification from huashen218
+author: John Snow Labs
+name: convxai_diversity_model
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`convxai_diversity_model` is a English model originally trained by huashen218.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/convxai_diversity_model_en_5.1.4_3.4_1698833043976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/convxai_diversity_model_en_5.1.4_3.4_1698833043976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|convxai_diversity_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/huashen218/convxai-diversity-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-core_clinical_diagnosis_prediction_en.md b/docs/_posts/ahmedlone127/2023-11-01-core_clinical_diagnosis_prediction_en.md
new file mode 100644
index 000000000000..2aa26dbee5db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-core_clinical_diagnosis_prediction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English core_clinical_diagnosis_prediction BertForSequenceClassification from DATEXIS
+author: John Snow Labs
+name: core_clinical_diagnosis_prediction
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`core_clinical_diagnosis_prediction` is a English model originally trained by DATEXIS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/core_clinical_diagnosis_prediction_en_5.1.4_3.4_1698804805747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/core_clinical_diagnosis_prediction_en_5.1.4_3.4_1698804805747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_bert_base|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/tuhailong/cross-encoder-bert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_italian_bert_stsb_it.md b/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_italian_bert_stsb_it.md
new file mode 100644
index 000000000000..a3c2ff744a78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_italian_bert_stsb_it.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Italian cross_encoder_italian_bert_stsb BertForSequenceClassification from nickprock
+author: John Snow Labs
+name: cross_encoder_italian_bert_stsb
+date: 2023-11-01
+tags: [bert, it, open_source, sequence_classification, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_italian_bert_stsb` is a Italian model originally trained by nickprock.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_italian_bert_stsb_it_5.1.4_3.4_1698815415692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_italian_bert_stsb_it_5.1.4_3.4_1698815415692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_italian_bert_stsb|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|411.9 MB|
+
+## References
+
+https://huggingface.co/nickprock/cross-encoder-italian-bert-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_llamaindex_demo_v2_en.md b/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_llamaindex_demo_v2_en.md
new file mode 100644
index 000000000000..5d1680088c39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_llamaindex_demo_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cross_encoder_llamaindex_demo_v2 BertForSequenceClassification from bpHigh
+author: John Snow Labs
+name: cross_encoder_llamaindex_demo_v2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_llamaindex_demo_v2` is a English model originally trained by bpHigh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_llamaindex_demo_v2_en_5.1.4_3.4_1698833310651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_llamaindex_demo_v2_en_5.1.4_3.4_1698833310651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_llamaindex_demo_v2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|124.3 MB|
+
+## References
+
+https://huggingface.co/bpHigh/Cross-Encoder-LLamaIndex-Demo-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_malay_marco_minilm_l_12_v2_tuned_mediqa_v1_en.md b/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_malay_marco_minilm_l_12_v2_tuned_mediqa_v1_en.md
new file mode 100644
index 000000000000..ff892f99b578
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_malay_marco_minilm_l_12_v2_tuned_mediqa_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cross_encoder_malay_marco_minilm_l_12_v2_tuned_mediqa_v1 BertForSequenceClassification from ivan-savchuk
+author: John Snow Labs
+name: cross_encoder_malay_marco_minilm_l_12_v2_tuned_mediqa_v1
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_malay_marco_minilm_l_12_v2_tuned_mediqa_v1` is a English model originally trained by ivan-savchuk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_malay_marco_minilm_l_12_v2_tuned_mediqa_v1_en_5.1.4_3.4_1698810316912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_malay_marco_minilm_l_12_v2_tuned_mediqa_v1_en_5.1.4_3.4_1698810316912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_malay_marco_minilm_l_12_v2_tuned_mediqa_v1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|124.2 MB|
+
+## References
+
+https://huggingface.co/ivan-savchuk/cross-encoder-ms-marco-MiniLM-L-12-v2-tuned_mediqa-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_portuguese_sentence_similarity_en.md b/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_portuguese_sentence_similarity_en.md
new file mode 100644
index 000000000000..f1fb32e06ddf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-cross_encoder_portuguese_sentence_similarity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cross_encoder_portuguese_sentence_similarity BertForSequenceClassification from anatel
+author: John Snow Labs
+name: cross_encoder_portuguese_sentence_similarity
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_portuguese_sentence_similarity` is a English model originally trained by anatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_portuguese_sentence_similarity_en_5.1.4_3.4_1698808916778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_portuguese_sentence_similarity_en_5.1.4_3.4_1698808916778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_portuguese_sentence_similarity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/anatel/cross-encoder-pt-sentence-similarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-cryptobert_en.md b/docs/_posts/ahmedlone127/2023-11-01-cryptobert_en.md
new file mode 100644
index 000000000000..a978dbecd72f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-cryptobert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cryptobert BertForSequenceClassification from kk08
+author: John Snow Labs
+name: cryptobert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cryptobert` is a English model originally trained by kk08.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cryptobert_en_5.1.4_3.4_1698813721975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cryptobert_en_5.1.4_3.4_1698813721975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_subjectivivity_classification_base|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|da|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/alexandrainst/da-subjectivivity-classification-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-deepfeatecosystemcrossencoder_en.md b/docs/_posts/ahmedlone127/2023-11-01-deepfeatecosystemcrossencoder_en.md
new file mode 100644
index 000000000000..8361562b9842
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-deepfeatecosystemcrossencoder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English deepfeatecosystemcrossencoder BertForSequenceClassification from DecisionOptimizationSystem
+author: John Snow Labs
+name: deepfeatecosystemcrossencoder
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deepfeatecosystemcrossencoder` is a English model originally trained by DecisionOptimizationSystem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deepfeatecosystemcrossencoder_en_5.1.4_3.4_1698815176677.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deepfeatecosystemcrossencoder_en_5.1.4_3.4_1698815176677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deepfeatecosystemcrossencoder|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|124.2 MB|
+
+## References
+
+https://huggingface.co/DecisionOptimizationSystem/DeepFeatEcosystemCrossEncoder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-dialect_recognitionv2_en.md b/docs/_posts/ahmedlone127/2023-11-01-dialect_recognitionv2_en.md
new file mode 100644
index 000000000000..1051ff9c99d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-dialect_recognitionv2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dialect_recognitionv2 BertForSequenceClassification from asalhi85
+author: John Snow Labs
+name: dialect_recognitionv2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dialect_recognitionv2` is a English model originally trained by asalhi85.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dialect_recognitionv2_en_5.1.4_3.4_1698831978131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dialect_recognitionv2_en_5.1.4_3.4_1698831978131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dialect_recognitionv2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|610.9 MB|
+
+## References
+
+https://huggingface.co/asalhi85/Dialect_Recognitionv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-disaster_tweet_bert_en.md b/docs/_posts/ahmedlone127/2023-11-01-disaster_tweet_bert_en.md
new file mode 100644
index 000000000000..a826742a0b4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-disaster_tweet_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English disaster_tweet_bert BertForSequenceClassification from garynguyen1174
+author: John Snow Labs
+name: disaster_tweet_bert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`disaster_tweet_bert` is a English model originally trained by garynguyen1174.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/disaster_tweet_bert_en_5.1.4_3.4_1698846997493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/disaster_tweet_bert_en_5.1.4_3.4_1698846997493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|disaster_tweet_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/garynguyen1174/disaster_tweet_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-distilbert_base_task_multi_label_classification_en.md b/docs/_posts/ahmedlone127/2023-11-01-distilbert_base_task_multi_label_classification_en.md
new file mode 100644
index 000000000000..78a3b3f6cb70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-distilbert_base_task_multi_label_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_task_multi_label_classification BertForSequenceClassification from LinaSaba
+author: John Snow Labs
+name: distilbert_base_task_multi_label_classification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_task_multi_label_classification` is a English model originally trained by LinaSaba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_task_multi_label_classification_en_5.1.4_3.4_1698818773781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_task_multi_label_classification_en_5.1.4_3.4_1698818773781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_task_multi_label_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/LinaSaba/distilbert-base-task-multi-label-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-distilbert_base_uncased_go_emotion_empathetic_dialogues_context_v2_en.md b/docs/_posts/ahmedlone127/2023-11-01-distilbert_base_uncased_go_emotion_empathetic_dialogues_context_v2_en.md
new file mode 100644
index 000000000000..27df4535417d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-distilbert_base_uncased_go_emotion_empathetic_dialogues_context_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_go_emotion_empathetic_dialogues_context_v2 BertForSequenceClassification from bdotloh
+author: John Snow Labs
+name: distilbert_base_uncased_go_emotion_empathetic_dialogues_context_v2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_go_emotion_empathetic_dialogues_context_v2` is a English model originally trained by bdotloh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_go_emotion_empathetic_dialogues_context_v2_en_5.1.4_3.4_1698837848194.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_go_emotion_empathetic_dialogues_context_v2_en_5.1.4_3.4_1698837848194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_go_emotion_empathetic_dialogues_context_v2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.1 MB|
+
+## References
+
+https://huggingface.co/bdotloh/distilbert-base-uncased-go-emotion-empathetic-dialogues-context-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-distilbert_portuguese_cased_finetuned_quantity_en.md b/docs/_posts/ahmedlone127/2023-11-01-distilbert_portuguese_cased_finetuned_quantity_en.md
new file mode 100644
index 000000000000..c7df66b52cce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-distilbert_portuguese_cased_finetuned_quantity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_portuguese_cased_finetuned_quantity BertForSequenceClassification from alexia20816
+author: John Snow Labs
+name: distilbert_portuguese_cased_finetuned_quantity
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_portuguese_cased_finetuned_quantity` is a English model originally trained by alexia20816.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_portuguese_cased_finetuned_quantity_en_5.1.4_3.4_1698862017696.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_portuguese_cased_finetuned_quantity_en_5.1.4_3.4_1698862017696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_portuguese_cased_finetuned_quantity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|285.1 MB|
+
+## References
+
+https://huggingface.co/alexia20816/distilbert-portuguese-cased-finetuned-quantity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-dr_en.md b/docs/_posts/ahmedlone127/2023-11-01-dr_en.md
new file mode 100644
index 000000000000..a67bc200c879
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-dr_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dr BertForSequenceClassification from Tianlin668
+author: John Snow Labs
+name: dr
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dr` is a English model originally trained by Tianlin668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dr_en_5.1.4_3.4_1698862561303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dr_en_5.1.4_3.4_1698862561303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dr|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.8 MB|
+
+## References
+
+https://huggingface.co/Tianlin668/DR
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-dronology_bert_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-01-dronology_bert_uncased_en.md
new file mode 100644
index 000000000000..1ab00175335a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-dronology_bert_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dronology_bert_uncased BertForSequenceClassification from SarmadBashir
+author: John Snow Labs
+name: dronology_bert_uncased
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dronology_bert_uncased` is a English model originally trained by SarmadBashir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dronology_bert_uncased_en_5.1.4_3.4_1698833912228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dronology_bert_uncased_en_5.1.4_3.4_1698833912228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dronology_bert_uncased|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/SarmadBashir/dronology_bert_uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-dummy_model_helloworld2307_en.md b/docs/_posts/ahmedlone127/2023-11-01-dummy_model_helloworld2307_en.md
new file mode 100644
index 000000000000..c3d8f2e2210a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-dummy_model_helloworld2307_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dummy_model_helloworld2307 BertForSequenceClassification from HelloWorld2307
+author: John Snow Labs
+name: dummy_model_helloworld2307
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_helloworld2307` is a English model originally trained by HelloWorld2307.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_helloworld2307_en_5.1.4_3.4_1698861987207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_helloworld2307_en_5.1.4_3.4_1698861987207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_beep_korean_base_v3_discriminator_bias|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|421.6 MB|
+
+## References
+
+https://huggingface.co/beomi/beep-koelectra-base-v3-discriminator-bias
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_beep_korean_base_v3_discriminator_hate_ko.md b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_beep_korean_base_v3_discriminator_hate_ko.md
new file mode 100644
index 000000000000..1e6f650db321
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_beep_korean_base_v3_discriminator_hate_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean electra_classifier_beep_korean_base_v3_discriminator_hate BertForSequenceClassification from beomi
+author: John Snow Labs
+name: electra_classifier_beep_korean_base_v3_discriminator_hate
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_beep_korean_base_v3_discriminator_hate` is a Korean model originally trained by beomi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_beep_korean_base_v3_discriminator_hate_ko_5.1.4_3.4_1698800414337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_beep_korean_base_v3_discriminator_hate_ko_5.1.4_3.4_1698800414337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_korean_base_bad_sentence|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|421.6 MB|
+
+## References
+
+https://huggingface.co/JminJ/koElectra_base_Bad_Sentence_Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_bias_ko.md b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_bias_ko.md
new file mode 100644
index 000000000000..6cd7360edfb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_bias_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean electra_classifier_korean_base_bias BertForSequenceClassification from monologg
+author: John Snow Labs
+name: electra_classifier_korean_base_bias
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_korean_base_bias` is a Korean model originally trained by monologg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_bias_ko_5.1.4_3.4_1698812532553.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_bias_ko_5.1.4_3.4_1698812532553.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_korean_base_bias|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|421.6 MB|
+
+## References
+
+https://huggingface.co/monologg/koelectra-base-bias
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_finetuned_nsmc_ko.md b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_finetuned_nsmc_ko.md
new file mode 100644
index 000000000000..1e0373387c59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_finetuned_nsmc_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean electra_classifier_korean_base_finetuned_nsmc BertForSequenceClassification from monologg
+author: John Snow Labs
+name: electra_classifier_korean_base_finetuned_nsmc
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_korean_base_finetuned_nsmc` is a Korean model originally trained by monologg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_finetuned_nsmc_ko_5.1.4_3.4_1698798593211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_finetuned_nsmc_ko_5.1.4_3.4_1698798593211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_korean_base_finetuned_nsmc|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|414.4 MB|
+
+## References
+
+https://huggingface.co/monologg/koelectra-base-finetuned-nsmc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_finetuned_sentiment_ko.md b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_finetuned_sentiment_ko.md
new file mode 100644
index 000000000000..27a2acd2e0fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_finetuned_sentiment_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean electra_classifier_korean_base_finetuned_sentiment BertForSequenceClassification from monologg
+author: John Snow Labs
+name: electra_classifier_korean_base_finetuned_sentiment
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_korean_base_finetuned_sentiment` is a Korean model originally trained by monologg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_finetuned_sentiment_ko_5.1.4_3.4_1698812743439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_finetuned_sentiment_ko_5.1.4_3.4_1698812743439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_korean_base_finetuned_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|414.4 MB|
+
+## References
+
+https://huggingface.co/monologg/koelectra-base-finetuned-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_gender_bias_ko.md b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_gender_bias_ko.md
new file mode 100644
index 000000000000..c959294848d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_gender_bias_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean electra_classifier_korean_base_gender_bias BertForSequenceClassification from monologg
+author: John Snow Labs
+name: electra_classifier_korean_base_gender_bias
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_korean_base_gender_bias` is a Korean model originally trained by monologg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_gender_bias_ko_5.1.4_3.4_1698812957562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_gender_bias_ko_5.1.4_3.4_1698812957562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_korean_base_gender_bias|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|421.6 MB|
+
+## References
+
+https://huggingface.co/monologg/koelectra-base-gender-bias
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_bias_ko.md b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_bias_ko.md
new file mode 100644
index 000000000000..9486601bb294
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_bias_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean electra_classifier_korean_base_v3_bias BertForSequenceClassification from monologg
+author: John Snow Labs
+name: electra_classifier_korean_base_v3_bias
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_korean_base_v3_bias` is a Korean model originally trained by monologg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_v3_bias_ko_5.1.4_3.4_1698800922156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_v3_bias_ko_5.1.4_3.4_1698800922156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_korean_base_v3_bias|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|421.6 MB|
+
+## References
+
+https://huggingface.co/monologg/koelectra-base-v3-bias
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_gender_bias_ko.md b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_gender_bias_ko.md
new file mode 100644
index 000000000000..e8f4363457b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_gender_bias_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean electra_classifier_korean_base_v3_gender_bias BertForSequenceClassification from monologg
+author: John Snow Labs
+name: electra_classifier_korean_base_v3_gender_bias
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_korean_base_v3_gender_bias` is a Korean model originally trained by monologg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_v3_gender_bias_ko_5.1.4_3.4_1698798764702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_v3_gender_bias_ko_5.1.4_3.4_1698798764702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_korean_base_v3_gender_bias|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|421.6 MB|
+
+## References
+
+https://huggingface.co/monologg/koelectra-base-v3-gender-bias
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_generalized_sentiment_analysis_ko.md b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_generalized_sentiment_analysis_ko.md
new file mode 100644
index 000000000000..d707a2f7367b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_generalized_sentiment_analysis_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean electra_classifier_korean_base_v3_generalized_sentiment_analysis BertForSequenceClassification from jaehyeong
+author: John Snow Labs
+name: electra_classifier_korean_base_v3_generalized_sentiment_analysis
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_korean_base_v3_generalized_sentiment_analysis` is a Korean model originally trained by jaehyeong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_v3_generalized_sentiment_analysis_ko_5.1.4_3.4_1698805885291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_v3_generalized_sentiment_analysis_ko_5.1.4_3.4_1698805885291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_korean_base_v3_generalized_sentiment_analysis|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|421.6 MB|
+
+## References
+
+https://huggingface.co/jaehyeong/koelectra-base-v3-generalized-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_hate_speech_ko.md b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_hate_speech_ko.md
new file mode 100644
index 000000000000..2e08b0dcc700
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_base_v3_hate_speech_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean electra_classifier_korean_base_v3_hate_speech BertForSequenceClassification from monologg
+author: John Snow Labs
+name: electra_classifier_korean_base_v3_hate_speech
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_korean_base_v3_hate_speech` is a Korean model originally trained by monologg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_v3_hate_speech_ko_5.1.4_3.4_1698806072350.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_base_v3_hate_speech_ko_5.1.4_3.4_1698806072350.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_korean_small_finetuned_intent_cls|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|54.1 MB|
+
+## References
+
+https://huggingface.co/monologg/koelectra-small-finetuned-intent-cls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_small_finetuned_nsmc_ko.md b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_small_finetuned_nsmc_ko.md
new file mode 100644
index 000000000000..86464aabbe20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_small_finetuned_nsmc_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean electra_classifier_korean_small_finetuned_nsmc BertForSequenceClassification from monologg
+author: John Snow Labs
+name: electra_classifier_korean_small_finetuned_nsmc
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_korean_small_finetuned_nsmc` is a Korean model originally trained by monologg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_small_finetuned_nsmc_ko_5.1.4_3.4_1698813342493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_small_finetuned_nsmc_ko_5.1.4_3.4_1698813342493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_korean_small_finetuned_nsmc|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|51.9 MB|
+
+## References
+
+https://huggingface.co/monologg/koelectra-small-finetuned-nsmc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_small_finetuned_sentiment_ko.md b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_small_finetuned_sentiment_ko.md
new file mode 100644
index 000000000000..ac7e196ffd50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-electra_classifier_korean_small_finetuned_sentiment_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean electra_classifier_korean_small_finetuned_sentiment BertForSequenceClassification from monologg
+author: John Snow Labs
+name: electra_classifier_korean_small_finetuned_sentiment
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_korean_small_finetuned_sentiment` is a Korean model originally trained by monologg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_small_finetuned_sentiment_ko_5.1.4_3.4_1698807948068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_korean_small_finetuned_sentiment_ko_5.1.4_3.4_1698807948068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_abusive_muril|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|892.6 MB|
+
+## References
+
+https://huggingface.co/Hate-speech-CNERG/english-abusive-MuRIL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-english_grammar_checker_en.md b/docs/_posts/ahmedlone127/2023-11-01-english_grammar_checker_en.md
new file mode 100644
index 000000000000..279f607f4a61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-english_grammar_checker_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English english_grammar_checker BertForSequenceClassification from abdulmatinomotoso
+author: John Snow Labs
+name: english_grammar_checker
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_grammar_checker` is a English model originally trained by abdulmatinomotoso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_grammar_checker_en_5.1.4_3.4_1698838765796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_grammar_checker_en_5.1.4_3.4_1698838765796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_grammar_checker|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/abdulmatinomotoso/English_Grammar_Checker
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-english_sarcasm_detector_en.md b/docs/_posts/ahmedlone127/2023-11-01-english_sarcasm_detector_en.md
new file mode 100644
index 000000000000..bdb7253b28be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-english_sarcasm_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English english_sarcasm_detector BertForSequenceClassification from helinivan
+author: John Snow Labs
+name: english_sarcasm_detector
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_sarcasm_detector` is a English model originally trained by helinivan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_sarcasm_detector_en_5.1.4_3.4_1698815777502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_sarcasm_detector_en_5.1.4_3.4_1698815777502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_sarcasm_detector|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/helinivan/english-sarcasm-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-ernie_finetuned_qqp_en.md b/docs/_posts/ahmedlone127/2023-11-01-ernie_finetuned_qqp_en.md
new file mode 100644
index 000000000000..770ef47f58d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-ernie_finetuned_qqp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ernie_finetuned_qqp BertForSequenceClassification from rajiv003
+author: John Snow Labs
+name: ernie_finetuned_qqp
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ernie_finetuned_qqp` is a English model originally trained by rajiv003.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ernie_finetuned_qqp_en_5.1.4_3.4_1698810030280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ernie_finetuned_qqp_en_5.1.4_3.4_1698810030280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ernie_finetuned_qqp|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/rajiv003/ernie-finetuned-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-factcc_en.md b/docs/_posts/ahmedlone127/2023-11-01-factcc_en.md
new file mode 100644
index 000000000000..9862497d5e35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-factcc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English factcc BertForSequenceClassification from manueldeprada
+author: John Snow Labs
+name: factcc
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`factcc` is a English model originally trained by manueldeprada.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/factcc_en_5.1.4_3.4_1698834824541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/factcc_en_5.1.4_3.4_1698834824541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|factcc|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/manueldeprada/FactCC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-feather_berts_0_connectivity_en.md b/docs/_posts/ahmedlone127/2023-11-01-feather_berts_0_connectivity_en.md
new file mode 100644
index 000000000000..2e7cf1b0d837
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-feather_berts_0_connectivity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English feather_berts_0_connectivity BertForSequenceClassification from connectivity
+author: John Snow Labs
+name: feather_berts_0_connectivity
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feather_berts_0_connectivity` is a English model originally trained by connectivity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feather_berts_0_connectivity_en_5.1.4_3.4_1698821929730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feather_berts_0_connectivity_en_5.1.4_3.4_1698821929730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|feather_berts_0_connectivity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/connectivity/feather_berts_0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-feather_berts_46_jeevesh8_en.md b/docs/_posts/ahmedlone127/2023-11-01-feather_berts_46_jeevesh8_en.md
new file mode 100644
index 000000000000..c2d347cbd2d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-feather_berts_46_jeevesh8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English feather_berts_46_jeevesh8 BertForSequenceClassification from Jeevesh8
+author: John Snow Labs
+name: feather_berts_46_jeevesh8
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`feather_berts_46_jeevesh8` is a English model originally trained by Jeevesh8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/feather_berts_46_jeevesh8_en_5.1.4_3.4_1698834486143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/feather_berts_46_jeevesh8_en_5.1.4_3.4_1698834486143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finance_sentiment_chinese_base|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/bardsai/finance-sentiment-zh-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-finance_sentiment_german_base_de.md b/docs/_posts/ahmedlone127/2023-11-01-finance_sentiment_german_base_de.md
new file mode 100644
index 000000000000..cd2856420678
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-finance_sentiment_german_base_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German finance_sentiment_german_base BertForSequenceClassification from bardsai
+author: John Snow Labs
+name: finance_sentiment_german_base
+date: 2023-11-01
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finance_sentiment_german_base` is a German model originally trained by bardsai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finance_sentiment_german_base_de_5.1.4_3.4_1698830420101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finance_sentiment_german_base_de_5.1.4_3.4_1698830420101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finance_sentiment_german_base|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/bardsai/finance-sentiment-de-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-finbert_esg_9_categories_en.md b/docs/_posts/ahmedlone127/2023-11-01-finbert_esg_9_categories_en.md
new file mode 100644
index 000000000000..a6a45037b891
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-finbert_esg_9_categories_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finbert_esg_9_categories BertForSequenceClassification from yiyanghkust
+author: John Snow Labs
+name: finbert_esg_9_categories
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finbert_esg_9_categories` is a English model originally trained by yiyanghkust.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_esg_9_categories_en_5.1.4_3.4_1698814527230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_esg_9_categories_en_5.1.4_3.4_1698814527230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert_esg_9_categories|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/yiyanghkust/finbert-esg-9-categories
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-finbert_fomc_en.md b/docs/_posts/ahmedlone127/2023-11-01-finbert_fomc_en.md
new file mode 100644
index 000000000000..2b1d940305c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-finbert_fomc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finbert_fomc BertForSequenceClassification from ZiweiChen
+author: John Snow Labs
+name: finbert_fomc
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finbert_fomc` is a English model originally trained by ZiweiChen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_fomc_en_5.1.4_3.4_1698862556393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_fomc_en_5.1.4_3.4_1698862556393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert_fomc|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.6 MB|
+
+## References
+
+https://huggingface.co/ZiweiChen/FinBERT-FOMC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-finbert_tone_finetuned_fintwitter_classification_en.md b/docs/_posts/ahmedlone127/2023-11-01-finbert_tone_finetuned_fintwitter_classification_en.md
new file mode 100644
index 000000000000..ef7f5ae55556
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-finbert_tone_finetuned_fintwitter_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finbert_tone_finetuned_fintwitter_classification BertForSequenceClassification from nickmuchi
+author: John Snow Labs
+name: finbert_tone_finetuned_fintwitter_classification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finbert_tone_finetuned_fintwitter_classification` is a English model originally trained by nickmuchi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finbert_tone_finetuned_fintwitter_classification_en_5.1.4_3.4_1698821416440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finbert_tone_finetuned_fintwitter_classification_en_5.1.4_3.4_1698821416440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbertptbr|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/turing-usp/FinBertPTBR
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-fine_tune_chinese_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-01-fine_tune_chinese_sentiment_en.md
new file mode 100644
index 000000000000..0027e5fe86a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-fine_tune_chinese_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tune_chinese_sentiment BertForSequenceClassification from DavidLanz
+author: John Snow Labs
+name: fine_tune_chinese_sentiment
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_chinese_sentiment` is a English model originally trained by DavidLanz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_chinese_sentiment_en_5.1.4_3.4_1698818916544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_chinese_sentiment_en_5.1.4_3.4_1698818916544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_chinese_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.0 MB|
+
+## References
+
+https://huggingface.co/DavidLanz/fine_tune_chinese_sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-fine_tuned_indonesian_sentiment_classifier_id.md b/docs/_posts/ahmedlone127/2023-11-01-fine_tuned_indonesian_sentiment_classifier_id.md
new file mode 100644
index 000000000000..2c62ab971be3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-fine_tuned_indonesian_sentiment_classifier_id.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Indonesian fine_tuned_indonesian_sentiment_classifier BertForSequenceClassification from hanifnoerr
+author: John Snow Labs
+name: fine_tuned_indonesian_sentiment_classifier
+date: 2023-11-01
+tags: [bert, id, open_source, sequence_classification, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_indonesian_sentiment_classifier` is a Indonesian model originally trained by hanifnoerr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_indonesian_sentiment_classifier_id_5.1.4_3.4_1698802700117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_indonesian_sentiment_classifier_id_5.1.4_3.4_1698802700117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_indonesian_sentiment_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-finetunebertclsfaq_en.md b/docs/_posts/ahmedlone127/2023-11-01-finetunebertclsfaq_en.md
new file mode 100644
index 000000000000..a251787d4116
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-finetunebertclsfaq_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetunebertclsfaq BertForSequenceClassification from Joe99
+author: John Snow Labs
+name: finetunebertclsfaq
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetunebertclsfaq` is a English model originally trained by Joe99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetunebertclsfaq_en_5.1.4_3.4_1698814620360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetunebertclsfaq_en_5.1.4_3.4_1698814620360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetunebertclsfaq|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/Joe99/FinetuneBERTClsFAQ
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-finetuned_bert_base_on_iemocap_1_en.md b/docs/_posts/ahmedlone127/2023-11-01-finetuned_bert_base_on_iemocap_1_en.md
new file mode 100644
index 000000000000..e9a1b57e2386
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-finetuned_bert_base_on_iemocap_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_bert_base_on_iemocap_1 BertForSequenceClassification from minoosh
+author: John Snow Labs
+name: finetuned_bert_base_on_iemocap_1
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bert_base_on_iemocap_1` is a English model originally trained by minoosh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_on_iemocap_1_en_5.1.4_3.4_1698810207802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_base_on_iemocap_1_en_5.1.4_3.4_1698810207802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_base_on_iemocap_1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/minoosh/finetuned_bert-base-on-IEMOCAP_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-finetuned_bertu_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-01-finetuned_bertu_sentiment_en.md
new file mode 100644
index 000000000000..1c81b220c2e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-finetuned_bertu_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_bertu_sentiment BertForSequenceClassification from DGurgurov
+author: John Snow Labs
+name: finetuned_bertu_sentiment
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bertu_sentiment` is a English model originally trained by DGurgurov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bertu_sentiment_en_5.1.4_3.4_1698816110396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bertu_sentiment_en_5.1.4_3.4_1698816110396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bertu_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|470.9 MB|
+
+## References
+
+https://huggingface.co/DGurgurov/finetuned-bertu-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-finetuned_bleurt_large_en.md b/docs/_posts/ahmedlone127/2023-11-01-finetuned_bleurt_large_en.md
new file mode 100644
index 000000000000..51588b1dce5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-finetuned_bleurt_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_bleurt_large BertForSequenceClassification from vaiibhavgupta
+author: John Snow Labs
+name: finetuned_bleurt_large
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bleurt_large` is a English model originally trained by vaiibhavgupta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bleurt_large_en_5.1.4_3.4_1698845118896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bleurt_large_en_5.1.4_3.4_1698845118896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bleurt_large|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/vaiibhavgupta/finetuned-bleurt-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-finetuned_yelp_donlapark_en.md b/docs/_posts/ahmedlone127/2023-11-01-finetuned_yelp_donlapark_en.md
new file mode 100644
index 000000000000..7743a08b460c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-finetuned_yelp_donlapark_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_yelp_donlapark BertForSequenceClassification from Donlapark
+author: John Snow Labs
+name: finetuned_yelp_donlapark
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_yelp_donlapark` is a English model originally trained by Donlapark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_yelp_donlapark_en_5.1.4_3.4_1698807859648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_yelp_donlapark_en_5.1.4_3.4_1698807859648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_yelp_donlapark|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Donlapark/finetuned_yelp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-finetuned_yelp_oatnapat_en.md b/docs/_posts/ahmedlone127/2023-11-01-finetuned_yelp_oatnapat_en.md
new file mode 100644
index 000000000000..eb0dc8ecd024
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-finetuned_yelp_oatnapat_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_yelp_oatnapat BertForSequenceClassification from OatNapat
+author: John Snow Labs
+name: finetuned_yelp_oatnapat
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_yelp_oatnapat` is a English model originally trained by OatNapat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_yelp_oatnapat_en_5.1.4_3.4_1698812604334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_yelp_oatnapat_en_5.1.4_3.4_1698812604334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_yelp_oatnapat|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/OatNapat/finetuned_yelp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-finetuned_yelp_shelterrp_en.md b/docs/_posts/ahmedlone127/2023-11-01-finetuned_yelp_shelterrp_en.md
new file mode 100644
index 000000000000..8011cc3c1a3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-finetuned_yelp_shelterrp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_yelp_shelterrp BertForSequenceClassification from shelterrp
+author: John Snow Labs
+name: finetuned_yelp_shelterrp
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_yelp_shelterrp` is a English model originally trained by shelterrp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_yelp_shelterrp_en_5.1.4_3.4_1698808353966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_yelp_shelterrp_en_5.1.4_3.4_1698808353966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frenchmedmcqa_biobert_v1_1_wikipedia_bm25|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|fr|
+|Size:|405.4 MB|
+
+## References
+
+https://huggingface.co/qanastek/FrenchMedMCQA-BioBERT-V1.1-Wikipedia-BM25
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-frugalscore_medium_bert_base_mover_score_en.md b/docs/_posts/ahmedlone127/2023-11-01-frugalscore_medium_bert_base_mover_score_en.md
new file mode 100644
index 000000000000..b233e1020b40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-frugalscore_medium_bert_base_mover_score_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English frugalscore_medium_bert_base_mover_score BertForSequenceClassification from moussaKam
+author: John Snow Labs
+name: frugalscore_medium_bert_base_mover_score
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`frugalscore_medium_bert_base_mover_score` is a English model originally trained by moussaKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frugalscore_medium_bert_base_mover_score_en_5.1.4_3.4_1698861056839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frugalscore_medium_bert_base_mover_score_en_5.1.4_3.4_1698861056839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frugalscore_medium_bert_base_mover_score|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|155.2 MB|
+
+## References
+
+https://huggingface.co/moussaKam/frugalscore_medium_bert-base_mover-score
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-frugalscore_tiny_bert_base_bert_score_en.md b/docs/_posts/ahmedlone127/2023-11-01-frugalscore_tiny_bert_base_bert_score_en.md
new file mode 100644
index 000000000000..17e029aad531
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-frugalscore_tiny_bert_base_bert_score_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English frugalscore_tiny_bert_base_bert_score BertForSequenceClassification from moussaKam
+author: John Snow Labs
+name: frugalscore_tiny_bert_base_bert_score
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`frugalscore_tiny_bert_base_bert_score` is a English model originally trained by moussaKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frugalscore_tiny_bert_base_bert_score_en_5.1.4_3.4_1698807771479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frugalscore_tiny_bert_base_bert_score_en_5.1.4_3.4_1698807771479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frugalscore_tiny_bert_base_bert_score|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/moussaKam/frugalscore_tiny_bert-base_bert-score
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-frugalscore_tiny_bert_base_mover_score_en.md b/docs/_posts/ahmedlone127/2023-11-01-frugalscore_tiny_bert_base_mover_score_en.md
new file mode 100644
index 000000000000..cb4e0a8df9ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-frugalscore_tiny_bert_base_mover_score_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English frugalscore_tiny_bert_base_mover_score BertForSequenceClassification from moussaKam
+author: John Snow Labs
+name: frugalscore_tiny_bert_base_mover_score
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`frugalscore_tiny_bert_base_mover_score` is a English model originally trained by moussaKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/frugalscore_tiny_bert_base_mover_score_en_5.1.4_3.4_1698861181413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/frugalscore_tiny_bert_base_mover_score_en_5.1.4_3.4_1698861181413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|frugalscore_tiny_bert_base_mover_score|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/moussaKam/frugalscore_tiny_bert-base_mover-score
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-german_covid_vaccine_misinformation_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-german_covid_vaccine_misinformation_classifier_en.md
new file mode 100644
index 000000000000..2a506aedb7da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-german_covid_vaccine_misinformation_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English german_covid_vaccine_misinformation_classifier BertForSequenceClassification from Ghunghru
+author: John Snow Labs
+name: german_covid_vaccine_misinformation_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`german_covid_vaccine_misinformation_classifier` is a English model originally trained by Ghunghru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_covid_vaccine_misinformation_classifier_en_5.1.4_3.4_1698862789759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_covid_vaccine_misinformation_classifier_en_5.1.4_3.4_1698862789759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_covid_vaccine_misinformation_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/Ghunghru/german_covid_vaccine_misinformation_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-gk_hinglish_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-01-gk_hinglish_sentiment_en.md
new file mode 100644
index 000000000000..4a51bceb438e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-gk_hinglish_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English gk_hinglish_sentiment BertForSequenceClassification from ganeshkharad
+author: John Snow Labs
+name: gk_hinglish_sentiment
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gk_hinglish_sentiment` is a English model originally trained by ganeshkharad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gk_hinglish_sentiment_en_5.1.4_3.4_1698814293283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gk_hinglish_sentiment_en_5.1.4_3.4_1698814293283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gk_hinglish_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/ganeshkharad/gk-hinglish-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-grammer_classiffication_en.md b/docs/_posts/ahmedlone127/2023-11-01-grammer_classiffication_en.md
new file mode 100644
index 000000000000..fde9dc37bfdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-grammer_classiffication_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English grammer_classiffication BertForSequenceClassification from Vaibhavbrkn
+author: John Snow Labs
+name: grammer_classiffication
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`grammer_classiffication` is a English model originally trained by Vaibhavbrkn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/grammer_classiffication_en_5.1.4_3.4_1698812055645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/grammer_classiffication_en_5.1.4_3.4_1698812055645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|grammer_classiffication|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Vaibhavbrkn/grammer_classiffication
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-guardrail_en.md b/docs/_posts/ahmedlone127/2023-11-01-guardrail_en.md
new file mode 100644
index 000000000000..3f6b52aa79bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-guardrail_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English guardrail BertForSequenceClassification from odunola
+author: John Snow Labs
+name: guardrail
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`guardrail` is a English model originally trained by odunola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/guardrail_en_5.1.4_3.4_1698865740063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/guardrail_en_5.1.4_3.4_1698865740063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|guardrail|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/odunola/guardrail
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hackmit_finetuned_sst2_blaine_mason_en.md b/docs/_posts/ahmedlone127/2023-11-01-hackmit_finetuned_sst2_blaine_mason_en.md
new file mode 100644
index 000000000000..9631e8f06aa4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hackmit_finetuned_sst2_blaine_mason_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hackmit_finetuned_sst2_blaine_mason BertForSequenceClassification from Blaine-Mason
+author: John Snow Labs
+name: hackmit_finetuned_sst2_blaine_mason
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hackmit_finetuned_sst2_blaine_mason` is a English model originally trained by Blaine-Mason.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hackmit_finetuned_sst2_blaine_mason_en_5.1.4_3.4_1698867015271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hackmit_finetuned_sst2_blaine_mason_en_5.1.4_3.4_1698867015271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hackmit_finetuned_sst2_blaine_mason|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/Blaine-Mason/hackMIT-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-halacha_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-halacha_classifier_en.md
new file mode 100644
index 000000000000..a2ad60a4a539
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-halacha_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English halacha_classifier BertForSequenceClassification from sivan22
+author: John Snow Labs
+name: halacha_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`halacha_classifier` is a English model originally trained by sivan22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/halacha_classifier_en_5.1.4_3.4_1698862784902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/halacha_classifier_en_5.1.4_3.4_1698862784902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|halacha_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|692.6 MB|
+
+## References
+
+https://huggingface.co/sivan22/halacha-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hate_speech_bert_ctoraman_en.md b/docs/_posts/ahmedlone127/2023-11-01-hate_speech_bert_ctoraman_en.md
new file mode 100644
index 000000000000..c0164432f0d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hate_speech_bert_ctoraman_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_speech_bert_ctoraman BertForSequenceClassification from ctoraman
+author: John Snow Labs
+name: hate_speech_bert_ctoraman
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_speech_bert_ctoraman` is a English model originally trained by ctoraman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_speech_bert_ctoraman_en_5.1.4_3.4_1698801459879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_speech_bert_ctoraman_en_5.1.4_3.4_1698801459879.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_speech_bert_ctoraman|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ctoraman/hate-speech-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hate_speech_berturk_en.md b/docs/_posts/ahmedlone127/2023-11-01-hate_speech_berturk_en.md
new file mode 100644
index 000000000000..63080fc8d03f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hate_speech_berturk_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_speech_berturk BertForSequenceClassification from ctoraman
+author: John Snow Labs
+name: hate_speech_berturk
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_speech_berturk` is a English model originally trained by ctoraman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_speech_berturk_en_5.1.4_3.4_1698812379558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_speech_berturk_en_5.1.4_3.4_1698812379558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_speech_detection_in_amharic_language_mbert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|am|
+|Size:|667.2 MB|
+
+## References
+
+https://huggingface.co/NathyB/Hate-Speech-Detection-in-Amharic-Language-mBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hate_speech_english_en.md b/docs/_posts/ahmedlone127/2023-11-01-hate_speech_english_en.md
new file mode 100644
index 000000000000..39f99a428a9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hate_speech_english_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_speech_english BertForSequenceClassification from IMSyPP
+author: John Snow Labs
+name: hate_speech_english
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_speech_english` is a English model originally trained by IMSyPP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_speech_english_en_5.1.4_3.4_1698800603225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_speech_english_en_5.1.4_3.4_1698800603225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_speech_english|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/IMSyPP/hate_speech_en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hate_speech_italian_it.md b/docs/_posts/ahmedlone127/2023-11-01-hate_speech_italian_it.md
new file mode 100644
index 000000000000..cf88bbdb34eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hate_speech_italian_it.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Italian hate_speech_italian BertForSequenceClassification from IMSyPP
+author: John Snow Labs
+name: hate_speech_italian
+date: 2023-11-01
+tags: [bert, it, open_source, sequence_classification, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_speech_italian` is a Italian model originally trained by IMSyPP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_speech_italian_it_5.1.4_3.4_1698814544205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_speech_italian_it_5.1.4_3.4_1698814544205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_speech_italian|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|691.9 MB|
+
+## References
+
+https://huggingface.co/IMSyPP/hate_speech_it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hatebert_hate_offensive_oriya_normal_speech_en.md b/docs/_posts/ahmedlone127/2023-11-01-hatebert_hate_offensive_oriya_normal_speech_en.md
new file mode 100644
index 000000000000..2afeeb615a60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hatebert_hate_offensive_oriya_normal_speech_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hatebert_hate_offensive_oriya_normal_speech BertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: hatebert_hate_offensive_oriya_normal_speech
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hatebert_hate_offensive_oriya_normal_speech` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hatebert_hate_offensive_oriya_normal_speech_en_5.1.4_3.4_1698844107630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hatebert_hate_offensive_oriya_normal_speech_en_5.1.4_3.4_1698844107630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hatebert_hate_offensive_oriya_normal_speech|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/hateBERT-Hate_Offensive_or_Normal_Speech
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-headlinepopularity_en.md b/docs/_posts/ahmedlone127/2023-11-01-headlinepopularity_en.md
new file mode 100644
index 000000000000..dbf36d937383
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-headlinepopularity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English headlinepopularity BertForSequenceClassification from omidvaramin
+author: John Snow Labs
+name: headlinepopularity
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`headlinepopularity` is a English model originally trained by omidvaramin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/headlinepopularity_en_5.1.4_3.4_1698863030193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/headlinepopularity_en_5.1.4_3.4_1698863030193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|headlinepopularity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/omidvaramin/HeadlinePopularity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hebemo_anger_en.md b/docs/_posts/ahmedlone127/2023-11-01-hebemo_anger_en.md
new file mode 100644
index 000000000000..8de1af8c57a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hebemo_anger_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hebemo_anger BertForSequenceClassification from avichr
+author: John Snow Labs
+name: hebemo_anger
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebemo_anger` is a English model originally trained by avichr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebemo_anger_en_5.1.4_3.4_1698861232242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebemo_anger_en_5.1.4_3.4_1698861232242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebemo_anger|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/avichr/hebEMO_anger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hebemo_anticipation_en.md b/docs/_posts/ahmedlone127/2023-11-01-hebemo_anticipation_en.md
new file mode 100644
index 000000000000..15551a542768
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hebemo_anticipation_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hebemo_anticipation BertForSequenceClassification from avichr
+author: John Snow Labs
+name: hebemo_anticipation
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebemo_anticipation` is a English model originally trained by avichr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebemo_anticipation_en_5.1.4_3.4_1698867881453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebemo_anticipation_en_5.1.4_3.4_1698867881453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebemo_anticipation|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/avichr/hebEMO_anticipation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hebemo_disgust_en.md b/docs/_posts/ahmedlone127/2023-11-01-hebemo_disgust_en.md
new file mode 100644
index 000000000000..3c7b649b5f4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hebemo_disgust_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hebemo_disgust BertForSequenceClassification from avichr
+author: John Snow Labs
+name: hebemo_disgust
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebemo_disgust` is a English model originally trained by avichr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebemo_disgust_en_5.1.4_3.4_1698836489609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebemo_disgust_en_5.1.4_3.4_1698836489609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebemo_disgust|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/avichr/hebEMO_disgust
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hebemo_fear_en.md b/docs/_posts/ahmedlone127/2023-11-01-hebemo_fear_en.md
new file mode 100644
index 000000000000..6afa8970ae36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hebemo_fear_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hebemo_fear BertForSequenceClassification from avichr
+author: John Snow Labs
+name: hebemo_fear
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebemo_fear` is a English model originally trained by avichr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebemo_fear_en_5.1.4_3.4_1698834487481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebemo_fear_en_5.1.4_3.4_1698834487481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebemo_fear|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/avichr/hebEMO_fear
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hebemo_joy_en.md b/docs/_posts/ahmedlone127/2023-11-01-hebemo_joy_en.md
new file mode 100644
index 000000000000..c77d4a29e38a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hebemo_joy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hebemo_joy BertForSequenceClassification from avichr
+author: John Snow Labs
+name: hebemo_joy
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebemo_joy` is a English model originally trained by avichr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebemo_joy_en_5.1.4_3.4_1698861498663.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebemo_joy_en_5.1.4_3.4_1698861498663.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebemo_joy|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/avichr/hebEMO_joy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hebemo_sadness_en.md b/docs/_posts/ahmedlone127/2023-11-01-hebemo_sadness_en.md
new file mode 100644
index 000000000000..3ee3aaf8cc7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hebemo_sadness_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hebemo_sadness BertForSequenceClassification from avichr
+author: John Snow Labs
+name: hebemo_sadness
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebemo_sadness` is a English model originally trained by avichr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebemo_sadness_en_5.1.4_3.4_1698864207020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebemo_sadness_en_5.1.4_3.4_1698864207020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebemo_sadness|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/avichr/hebEMO_sadness
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hebemo_surprise_en.md b/docs/_posts/ahmedlone127/2023-11-01-hebemo_surprise_en.md
new file mode 100644
index 000000000000..67d11a8f4f84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hebemo_surprise_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hebemo_surprise BertForSequenceClassification from avichr
+author: John Snow Labs
+name: hebemo_surprise
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebemo_surprise` is a English model originally trained by avichr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebemo_surprise_en_5.1.4_3.4_1698861685048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebemo_surprise_en_5.1.4_3.4_1698861685048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebemo_surprise|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/avichr/hebEMO_surprise
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hebemo_trust_en.md b/docs/_posts/ahmedlone127/2023-11-01-hebemo_trust_en.md
new file mode 100644
index 000000000000..7d6f0b1d9017
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hebemo_trust_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hebemo_trust BertForSequenceClassification from avichr
+author: John Snow Labs
+name: hebemo_trust
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebemo_trust` is a English model originally trained by avichr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebemo_trust_en_5.1.4_3.4_1698842615442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebemo_trust_en_5.1.4_3.4_1698842615442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebemo_trust|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.3 MB|
+
+## References
+
+https://huggingface.co/avichr/hebEMO_trust
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hindi_abusive_muril_hi.md b/docs/_posts/ahmedlone127/2023-11-01-hindi_abusive_muril_hi.md
new file mode 100644
index 000000000000..392ebe09710c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hindi_abusive_muril_hi.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Hindi hindi_abusive_muril BertForSequenceClassification from Hate-speech-CNERG
+author: John Snow Labs
+name: hindi_abusive_muril
+date: 2023-11-01
+tags: [bert, hi, open_source, sequence_classification, onnx]
+task: Text Classification
+language: hi
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hindi_abusive_muril` is a Hindi model originally trained by Hate-speech-CNERG.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_abusive_muril_hi_5.1.4_3.4_1698823414994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_abusive_muril_hi_5.1.4_3.4_1698823414994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_abusive_muril|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|hi|
+|Size:|892.6 MB|
+
+## References
+
+https://huggingface.co/Hate-speech-CNERG/hindi-abusive-MuRIL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hinglish_bert_class_en.md b/docs/_posts/ahmedlone127/2023-11-01-hinglish_bert_class_en.md
new file mode 100644
index 000000000000..1e6b5134219a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hinglish_bert_class_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hinglish_bert_class BertForSequenceClassification from verloop
+author: John Snow Labs
+name: hinglish_bert_class
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hinglish_bert_class` is a English model originally trained by verloop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hinglish_bert_class_en_5.1.4_3.4_1698842957325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hinglish_bert_class_en_5.1.4_3.4_1698842957325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hinglish_bert_class|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.2 MB|
+
+## References
+
+https://huggingface.co/verloop/Hinglish-Bert-Class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hse_vk_nlp_sentiment_version3_en.md b/docs/_posts/ahmedlone127/2023-11-01-hse_vk_nlp_sentiment_version3_en.md
new file mode 100644
index 000000000000..016aeb227160
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hse_vk_nlp_sentiment_version3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hse_vk_nlp_sentiment_version3 BertForSequenceClassification from marcus2000
+author: John Snow Labs
+name: hse_vk_nlp_sentiment_version3
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hse_vk_nlp_sentiment_version3` is a English model originally trained by marcus2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hse_vk_nlp_sentiment_version3_en_5.1.4_3.4_1698872410091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hse_vk_nlp_sentiment_version3_en_5.1.4_3.4_1698872410091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hse_vk_nlp_sentiment_version3|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/marcus2000/HSE_VK_NLP_sentiment_version3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-hse_vk_nlp_sentiment_version7_en.md b/docs/_posts/ahmedlone127/2023-11-01-hse_vk_nlp_sentiment_version7_en.md
new file mode 100644
index 000000000000..d6eddf5e34c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-hse_vk_nlp_sentiment_version7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hse_vk_nlp_sentiment_version7 BertForSequenceClassification from marcus2000
+author: John Snow Labs
+name: hse_vk_nlp_sentiment_version7
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hse_vk_nlp_sentiment_version7` is a English model originally trained by marcus2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hse_vk_nlp_sentiment_version7_en_5.1.4_3.4_1698862241555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hse_vk_nlp_sentiment_version7_en_5.1.4_3.4_1698862241555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hse_vk_nlp_sentiment_version7|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/marcus2000/HSE_VK_NLP_sentiment_version7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-huggingface_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-01-huggingface_sentiment_analysis_en.md
new file mode 100644
index 000000000000..ff30c150e543
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-huggingface_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English huggingface_sentiment_analysis BertForSequenceClassification from raulangelj
+author: John Snow Labs
+name: huggingface_sentiment_analysis
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`huggingface_sentiment_analysis` is a English model originally trained by raulangelj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/huggingface_sentiment_analysis_en_5.1.4_3.4_1698845119166.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/huggingface_sentiment_analysis_en_5.1.4_3.4_1698845119166.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|huggingface_sentiment_analysis|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/raulangelj/huggingface_sentiment_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-iljp_incaselawbert_fine_tuned_5_epochs_en.md b/docs/_posts/ahmedlone127/2023-11-01-iljp_incaselawbert_fine_tuned_5_epochs_en.md
new file mode 100644
index 000000000000..d1b760aed56a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-iljp_incaselawbert_fine_tuned_5_epochs_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English iljp_incaselawbert_fine_tuned_5_epochs BertForSequenceClassification from AnonymousSub
+author: John Snow Labs
+name: iljp_incaselawbert_fine_tuned_5_epochs
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iljp_incaselawbert_fine_tuned_5_epochs` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iljp_incaselawbert_fine_tuned_5_epochs_en_5.1.4_3.4_1698862231544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iljp_incaselawbert_fine_tuned_5_epochs_en_5.1.4_3.4_1698862231544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iljp_incaselawbert_fine_tuned_5_epochs|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/AnonymousSub/ILJP_InCaseLawBERT_fine-tuned-5-epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-imdb_finetuned_bert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-01-imdb_finetuned_bert_base_uncased_en.md
new file mode 100644
index 000000000000..2719fc7540a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-imdb_finetuned_bert_base_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English imdb_finetuned_bert_base_uncased BertForSequenceClassification from JiaqiLee
+author: John Snow Labs
+name: imdb_finetuned_bert_base_uncased
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_finetuned_bert_base_uncased` is a English model originally trained by JiaqiLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_finetuned_bert_base_uncased_en_5.1.4_3.4_1698815331180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_finetuned_bert_base_uncased_en_5.1.4_3.4_1698815331180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indic_abusive_allinone_muril|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|892.6 MB|
+
+## References
+
+https://huggingface.co/Hate-speech-CNERG/indic-abusive-allInOne-MuRIL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-indobert_classification_en.md b/docs/_posts/ahmedlone127/2023-11-01-indobert_classification_en.md
new file mode 100644
index 000000000000..16b2e77f550d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-indobert_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English indobert_classification BertForSequenceClassification from afbudiman
+author: John Snow Labs
+name: indobert_classification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_classification` is a English model originally trained by afbudiman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_classification_en_5.1.4_3.4_1698864009125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_classification_en_5.1.4_3.4_1698864009125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/afbudiman/indobert-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-indobert_crossencoder_mmarco_en.md b/docs/_posts/ahmedlone127/2023-11-01-indobert_crossencoder_mmarco_en.md
new file mode 100644
index 000000000000..34880eca118b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-indobert_crossencoder_mmarco_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English indobert_crossencoder_mmarco BertForSequenceClassification from carles-undergrad-thesis
+author: John Snow Labs
+name: indobert_crossencoder_mmarco
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_crossencoder_mmarco` is a English model originally trained by carles-undergrad-thesis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_crossencoder_mmarco_en_5.1.4_3.4_1698866679506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_crossencoder_mmarco_en_5.1.4_3.4_1698866679506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_crossencoder_mmarco|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|413.9 MB|
+
+## References
+
+https://huggingface.co/carles-undergrad-thesis/indobert-crossencoder-mmarco
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-indobert_emotion_classification_id.md b/docs/_posts/ahmedlone127/2023-11-01-indobert_emotion_classification_id.md
new file mode 100644
index 000000000000..1e6365c537ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-indobert_emotion_classification_id.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Indonesian indobert_emotion_classification BertForSequenceClassification from thoriqfy
+author: John Snow Labs
+name: indobert_emotion_classification
+date: 2023-11-01
+tags: [bert, id, open_source, sequence_classification, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_emotion_classification` is a Indonesian model originally trained by thoriqfy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_emotion_classification_id_5.1.4_3.4_1698801957691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_emotion_classification_id_5.1.4_3.4_1698801957691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_emotion_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/thoriqfy/indobert-emotion-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-indobert_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-01-indobert_sentiment_analysis_en.md
new file mode 100644
index 000000000000..7dd1fbfa5fc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-indobert_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English indobert_sentiment_analysis BertForSequenceClassification from dafex
+author: John Snow Labs
+name: indobert_sentiment_analysis
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_sentiment_analysis` is a English model originally trained by dafex.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_sentiment_analysis_en_5.1.4_3.4_1698832553764.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_sentiment_analysis_en_5.1.4_3.4_1698832553764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_sentiment_analysis|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.0 MB|
+
+## References
+
+https://huggingface.co/dafex/indobert-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-indonesia_bert_sentiment_classification_en.md b/docs/_posts/ahmedlone127/2023-11-01-indonesia_bert_sentiment_classification_en.md
new file mode 100644
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+---
+layout: model
+title: English indonesia_bert_sentiment_classification BertForSequenceClassification from mdhugol
+author: John Snow Labs
+name: indonesia_bert_sentiment_classification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indonesia_bert_sentiment_classification` is a English model originally trained by mdhugol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indonesia_bert_sentiment_classification_en_5.1.4_3.4_1698808027096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indonesia_bert_sentiment_classification_en_5.1.4_3.4_1698808027096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indonesia_bert_sentiment_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/mdhugol/indonesia-bert-sentiment-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-insurance_multiple_label_my83_v2_en.md b/docs/_posts/ahmedlone127/2023-11-01-insurance_multiple_label_my83_v2_en.md
new file mode 100644
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--- /dev/null
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+---
+layout: model
+title: English insurance_multiple_label_my83_v2 BertForSequenceClassification from Leonardolin
+author: John Snow Labs
+name: insurance_multiple_label_my83_v2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`insurance_multiple_label_my83_v2` is a English model originally trained by Leonardolin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/insurance_multiple_label_my83_v2_en_5.1.4_3.4_1698813898723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/insurance_multiple_label_my83_v2_en_5.1.4_3.4_1698813898723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|insurance_multiple_label_my83_v2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.4 MB|
+
+## References
+
+https://huggingface.co/Leonardolin/insurance_multiple_label_my83-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-intent_cls_en.md b/docs/_posts/ahmedlone127/2023-11-01-intent_cls_en.md
new file mode 100644
index 000000000000..02b17116651e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-intent_cls_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English intent_cls BertForSequenceClassification from EthanChen0418
+author: John Snow Labs
+name: intent_cls
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_cls` is a English model originally trained by EthanChen0418.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_cls_en_5.1.4_3.4_1698869803940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_cls_en_5.1.4_3.4_1698869803940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_cls|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/EthanChen0418/intent_cls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-jailbreak_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-jailbreak_classifier_en.md
new file mode 100644
index 000000000000..b4d7c4e1a341
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-jailbreak_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English jailbreak_classifier BertForSequenceClassification from jackhhao
+author: John Snow Labs
+name: jailbreak_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jailbreak_classifier` is a English model originally trained by jackhhao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jailbreak_classifier_en_5.1.4_3.4_1698863726221.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jailbreak_classifier_en_5.1.4_3.4_1698863726221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jailbreak_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jackhhao/jailbreak-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-jobclassifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-jobclassifier_en.md
new file mode 100644
index 000000000000..3e48c801cb6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-jobclassifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English jobclassifier BertForSequenceClassification from CleveGreen
+author: John Snow Labs
+name: jobclassifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jobclassifier` is a English model originally trained by CleveGreen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jobclassifier_en_5.1.4_3.4_1698842228263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jobclassifier_en_5.1.4_3.4_1698842228263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jobclassifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|406.3 MB|
+
+## References
+
+https://huggingface.co/CleveGreen/JobClassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-kambert_en.md b/docs/_posts/ahmedlone127/2023-11-01-kambert_en.md
new file mode 100644
index 000000000000..6ea24364c87d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-kambert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English kambert BertForSequenceClassification from Kamarin
+author: John Snow Labs
+name: kambert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kambert` is a English model originally trained by Kamarin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kambert_en_5.1.4_3.4_1698835093440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kambert_en_5.1.4_3.4_1698835093440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kambert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Kamarin/kambert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-kcbert_base_finetuned_hate_ko.md b/docs/_posts/ahmedlone127/2023-11-01-kcbert_base_finetuned_hate_ko.md
new file mode 100644
index 000000000000..328f17606f33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-kcbert_base_finetuned_hate_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean kcbert_base_finetuned_hate BertForSequenceClassification from hegelty
+author: John Snow Labs
+name: kcbert_base_finetuned_hate
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kcbert_base_finetuned_hate` is a Korean model originally trained by hegelty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kcbert_base_finetuned_hate_ko_5.1.4_3.4_1698809919557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kcbert_base_finetuned_hate_ko_5.1.4_3.4_1698809919557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kcbert_base_finetuned_hate|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|408.4 MB|
+
+## References
+
+https://huggingface.co/hegelty/KcBERT-Base-finetuned-hate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-kcbert_formal_classifier_ko.md b/docs/_posts/ahmedlone127/2023-11-01-kcbert_formal_classifier_ko.md
new file mode 100644
index 000000000000..c851098d525e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-kcbert_formal_classifier_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean kcbert_formal_classifier BertForSequenceClassification from j5ng
+author: John Snow Labs
+name: kcbert_formal_classifier
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kcbert_formal_classifier` is a Korean model originally trained by j5ng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kcbert_formal_classifier_ko_5.1.4_3.4_1698812952417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kcbert_formal_classifier_ko_5.1.4_3.4_1698812952417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kcbert_formal_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|408.4 MB|
+
+## References
+
+https://huggingface.co/j5ng/kcbert-formal-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-kpf_cross_encoder_v1_ko.md b/docs/_posts/ahmedlone127/2023-11-01-kpf_cross_encoder_v1_ko.md
new file mode 100644
index 000000000000..d7561337d52d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-kpf_cross_encoder_v1_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean kpf_cross_encoder_v1 BertForSequenceClassification from bongsoo
+author: John Snow Labs
+name: kpf_cross_encoder_v1
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kpf_cross_encoder_v1` is a Korean model originally trained by bongsoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kpf_cross_encoder_v1_ko_5.1.4_3.4_1698809946198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kpf_cross_encoder_v1_ko_5.1.4_3.4_1698809946198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kpf_cross_encoder_v1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|427.3 MB|
+
+## References
+
+https://huggingface.co/bongsoo/kpf-cross-encoder-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-lawinorders_en.md b/docs/_posts/ahmedlone127/2023-11-01-lawinorders_en.md
new file mode 100644
index 000000000000..e7eb3014f9d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-lawinorders_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English lawinorders BertForSequenceClassification from circulartext
+author: John Snow Labs
+name: lawinorders
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lawinorders` is a English model originally trained by circulartext.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lawinorders_en_5.1.4_3.4_1698816085111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lawinorders_en_5.1.4_3.4_1698816085111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lawinorders|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/circulartext/lawinorders
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-log_classifier_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-01-log_classifier_distilbert_en.md
new file mode 100644
index 000000000000..44f56c096ce7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-log_classifier_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English log_classifier_distilbert BertForSequenceClassification from Lowder
+author: John Snow Labs
+name: log_classifier_distilbert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`log_classifier_distilbert` is a English model originally trained by Lowder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/log_classifier_distilbert_en_5.1.4_3.4_1698862938466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/log_classifier_distilbert_en_5.1.4_3.4_1698862938466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|log_classifier_distilbert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/Lowder/log_classifier_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-lyric_tonga_tonga_islands_genre_en.md b/docs/_posts/ahmedlone127/2023-11-01-lyric_tonga_tonga_islands_genre_en.md
new file mode 100644
index 000000000000..7f6bfea9e8f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-lyric_tonga_tonga_islands_genre_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English lyric_tonga_tonga_islands_genre BertForSequenceClassification from Veucci
+author: John Snow Labs
+name: lyric_tonga_tonga_islands_genre
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lyric_tonga_tonga_islands_genre` is a English model originally trained by Veucci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lyric_tonga_tonga_islands_genre_en_5.1.4_3.4_1698863016852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lyric_tonga_tonga_islands_genre_en_5.1.4_3.4_1698863016852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lyric_tonga_tonga_islands_genre|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Veucci/lyric-to-genre
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_12_v2_cross_encoder_en.md b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_12_v2_cross_encoder_en.md
new file mode 100644
index 000000000000..b8ec23e21d2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_12_v2_cross_encoder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English malay_marco_minilm_l_12_v2_cross_encoder BertForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: malay_marco_minilm_l_12_v2_cross_encoder
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malay_marco_minilm_l_12_v2_cross_encoder` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l_12_v2_cross_encoder_en_5.1.4_3.4_1698807364320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l_12_v2_cross_encoder_en_5.1.4_3.4_1698807364320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malay_marco_minilm_l_12_v2_cross_encoder|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|124.2 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/ms-marco-MiniLM-L-12-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_2_v2_cross_encoder_en.md b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_2_v2_cross_encoder_en.md
new file mode 100644
index 000000000000..454fff8673c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_2_v2_cross_encoder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English malay_marco_minilm_l_2_v2_cross_encoder BertForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: malay_marco_minilm_l_2_v2_cross_encoder
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malay_marco_minilm_l_2_v2_cross_encoder` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l_2_v2_cross_encoder_en_5.1.4_3.4_1698802998479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l_2_v2_cross_encoder_en_5.1.4_3.4_1698802998479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malay_marco_minilm_l_2_v2_cross_encoder|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|57.7 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/ms-marco-MiniLM-L-2-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_4_v2_en.md b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_4_v2_en.md
new file mode 100644
index 000000000000..9a587a5d8bdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_4_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English malay_marco_minilm_l_4_v2 BertForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: malay_marco_minilm_l_4_v2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malay_marco_minilm_l_4_v2` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l_4_v2_en_5.1.4_3.4_1698799750367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l_4_v2_en_5.1.4_3.4_1698799750367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malay_marco_minilm_l_4_v2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|71.0 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/ms-marco-MiniLM-L-4-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_6_v2_cross_encoder_en.md b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_6_v2_cross_encoder_en.md
new file mode 100644
index 000000000000..c2a94b380e56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_6_v2_cross_encoder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English malay_marco_minilm_l_6_v2_cross_encoder BertForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: malay_marco_minilm_l_6_v2_cross_encoder
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malay_marco_minilm_l_6_v2_cross_encoder` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l_6_v2_cross_encoder_en_5.1.4_3.4_1698807460490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l_6_v2_cross_encoder_en_5.1.4_3.4_1698807460490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malay_marco_minilm_l_6_v2_cross_encoder|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|84.3 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/ms-marco-MiniLM-L-6-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_6_v2_navteca_en.md b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_6_v2_navteca_en.md
new file mode 100644
index 000000000000..9a11848f6740
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_minilm_l_6_v2_navteca_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English malay_marco_minilm_l_6_v2_navteca BertForSequenceClassification from navteca
+author: John Snow Labs
+name: malay_marco_minilm_l_6_v2_navteca
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malay_marco_minilm_l_6_v2_navteca` is a English model originally trained by navteca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l_6_v2_navteca_en_5.1.4_3.4_1698800249951.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malay_marco_minilm_l_6_v2_navteca_en_5.1.4_3.4_1698800249951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malay_marco_minilm_l_6_v2_navteca|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|84.3 MB|
+
+## References
+
+https://huggingface.co/navteca/ms-marco-MiniLM-L-6-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_2_en.md b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_2_en.md
new file mode 100644
index 000000000000..afe1f29a2cec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English malay_marco_tinybert_l_2 BertForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: malay_marco_tinybert_l_2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malay_marco_tinybert_l_2` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malay_marco_tinybert_l_2_en_5.1.4_3.4_1698813857069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malay_marco_tinybert_l_2_en_5.1.4_3.4_1698813857069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malay_marco_tinybert_l_2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/ms-marco-TinyBERT-L-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_2_v2_en.md b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_2_v2_en.md
new file mode 100644
index 000000000000..08b2cfd34b54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_2_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English malay_marco_tinybert_l_2_v2 BertForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: malay_marco_tinybert_l_2_v2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malay_marco_tinybert_l_2_v2` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malay_marco_tinybert_l_2_v2_en_5.1.4_3.4_1698807560421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malay_marco_tinybert_l_2_v2_en_5.1.4_3.4_1698807560421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malay_marco_tinybert_l_2_v2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/ms-marco-TinyBERT-L-2-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_4_en.md b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_4_en.md
new file mode 100644
index 000000000000..3e81db162047
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English malay_marco_tinybert_l_4 BertForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: malay_marco_tinybert_l_4
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malay_marco_tinybert_l_4` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malay_marco_tinybert_l_4_en_5.1.4_3.4_1698809807596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malay_marco_tinybert_l_4_en_5.1.4_3.4_1698809807596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malay_marco_tinybert_l_4|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/ms-marco-TinyBERT-L-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_6_en.md b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_6_en.md
new file mode 100644
index 000000000000..1d454ec6fd04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-malay_marco_tinybert_l_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English malay_marco_tinybert_l_6 BertForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: malay_marco_tinybert_l_6
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malay_marco_tinybert_l_6` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malay_marco_tinybert_l_6_en_5.1.4_3.4_1698816077435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malay_marco_tinybert_l_6_en_5.1.4_3.4_1698816077435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malay_marco_tinybert_l_6|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|251.2 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/ms-marco-TinyBERT-L-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-malware_url_detect_en.md b/docs/_posts/ahmedlone127/2023-11-01-malware_url_detect_en.md
new file mode 100644
index 000000000000..0e0fa100fa4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-malware_url_detect_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English malware_url_detect BertForSequenceClassification from elftsdmr
+author: John Snow Labs
+name: malware_url_detect
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malware_url_detect` is a English model originally trained by elftsdmr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malware_url_detect_en_5.1.4_3.4_1698800965682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malware_url_detect_en_5.1.4_3.4_1698800965682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_sentiment_md|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|mr|
+|Size:|892.8 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-sentiment-md
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-maverick_midas_en.md b/docs/_posts/ahmedlone127/2023-11-01-maverick_midas_en.md
new file mode 100644
index 000000000000..b9d033770204
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-maverick_midas_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English maverick_midas BertForSequenceClassification from lukasec
+author: John Snow Labs
+name: maverick_midas
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maverick_midas` is a English model originally trained by lukasec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maverick_midas_en_5.1.4_3.4_1698871166771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maverick_midas_en_5.1.4_3.4_1698871166771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maverick_midas|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/lukasec/Maverick-Midas
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-maverick_moneyball_en.md b/docs/_posts/ahmedlone127/2023-11-01-maverick_moneyball_en.md
new file mode 100644
index 000000000000..ba312cbacf41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-maverick_moneyball_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English maverick_moneyball BertForSequenceClassification from lukasec
+author: John Snow Labs
+name: maverick_moneyball
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maverick_moneyball` is a English model originally trained by lukasec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maverick_moneyball_en_5.1.4_3.4_1698815004716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maverick_moneyball_en_5.1.4_3.4_1698815004716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maverick_moneyball|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/lukasec/Maverick-Moneyball
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-mbzuai_political_bias_bert_en.md b/docs/_posts/ahmedlone127/2023-11-01-mbzuai_political_bias_bert_en.md
new file mode 100644
index 000000000000..713a3d3a3db5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-mbzuai_political_bias_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mbzuai_political_bias_bert BertForSequenceClassification from theArif
+author: John Snow Labs
+name: mbzuai_political_bias_bert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbzuai_political_bias_bert` is a English model originally trained by theArif.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbzuai_political_bias_bert_en_5.1.4_3.4_1698865556745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbzuai_political_bias_bert_en_5.1.4_3.4_1698865556745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbzuai_political_bias_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/theArif/mbzuai-political-bias-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-minilm_evidence_types_en.md b/docs/_posts/ahmedlone127/2023-11-01-minilm_evidence_types_en.md
new file mode 100644
index 000000000000..00ec19529a37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-minilm_evidence_types_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English minilm_evidence_types BertForSequenceClassification from marieke93
+author: John Snow Labs
+name: minilm_evidence_types
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`minilm_evidence_types` is a English model originally trained by marieke93.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_evidence_types_en_5.1.4_3.4_1698802658961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_evidence_types_en_5.1.4_3.4_1698802658961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_evidence_types|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|117.2 MB|
+
+## References
+
+https://huggingface.co/marieke93/MiniLM-evidence-types
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-minilm_finetuned_chi_dedupe_en.md b/docs/_posts/ahmedlone127/2023-11-01-minilm_finetuned_chi_dedupe_en.md
new file mode 100644
index 000000000000..5e65f1d32781
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-minilm_finetuned_chi_dedupe_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English minilm_finetuned_chi_dedupe BertForSequenceClassification from dhalladin
+author: John Snow Labs
+name: minilm_finetuned_chi_dedupe
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`minilm_finetuned_chi_dedupe` is a English model originally trained by dhalladin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_finetuned_chi_dedupe_en_5.1.4_3.4_1698815874565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_finetuned_chi_dedupe_en_5.1.4_3.4_1698815874565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_finetuned_chi_dedupe|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|111.2 MB|
+
+## References
+
+https://huggingface.co/dhalladin/minilm-finetuned-chi-dedupe
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-minilm_finetuned_chi_dedupe_southern_sotho_en.md b/docs/_posts/ahmedlone127/2023-11-01-minilm_finetuned_chi_dedupe_southern_sotho_en.md
new file mode 100644
index 000000000000..b2385b50a743
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-minilm_finetuned_chi_dedupe_southern_sotho_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English minilm_finetuned_chi_dedupe_southern_sotho BertForSequenceClassification from dhalladin
+author: John Snow Labs
+name: minilm_finetuned_chi_dedupe_southern_sotho
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`minilm_finetuned_chi_dedupe_southern_sotho` is a English model originally trained by dhalladin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_finetuned_chi_dedupe_southern_sotho_en_5.1.4_3.4_1698816224552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_finetuned_chi_dedupe_southern_sotho_en_5.1.4_3.4_1698816224552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_finetuned_chi_dedupe_southern_sotho|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|111.2 MB|
+
+## References
+
+https://huggingface.co/dhalladin/minilm-finetuned-chi-dedupe-st
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-minilm_finetuned_emotion_celorenzo2104_en.md b/docs/_posts/ahmedlone127/2023-11-01-minilm_finetuned_emotion_celorenzo2104_en.md
new file mode 100644
index 000000000000..3ab66d8de96e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-minilm_finetuned_emotion_celorenzo2104_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English minilm_finetuned_emotion_celorenzo2104 BertForSequenceClassification from celorenzo2104
+author: John Snow Labs
+name: minilm_finetuned_emotion_celorenzo2104
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`minilm_finetuned_emotion_celorenzo2104` is a English model originally trained by celorenzo2104.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_finetuned_emotion_celorenzo2104_en_5.1.4_3.4_1698823431283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_finetuned_emotion_celorenzo2104_en_5.1.4_3.4_1698823431283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_finetuned_emotion_celorenzo2104|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|118.5 MB|
+
+## References
+
+https://huggingface.co/celorenzo2104/minilm-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-minilm_l6_h384_uncased_sst2_en.md b/docs/_posts/ahmedlone127/2023-11-01-minilm_l6_h384_uncased_sst2_en.md
new file mode 100644
index 000000000000..7822407e7b13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-minilm_l6_h384_uncased_sst2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English minilm_l6_h384_uncased_sst2 BertForSequenceClassification from philschmid
+author: John Snow Labs
+name: minilm_l6_h384_uncased_sst2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`minilm_l6_h384_uncased_sst2` is a English model originally trained by philschmid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilm_l6_h384_uncased_sst2_en_5.1.4_3.4_1698807460605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilm_l6_h384_uncased_sst2_en_5.1.4_3.4_1698807460605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilm_l6_h384_uncased_sst2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|77.1 MB|
+
+## References
+
+https://huggingface.co/philschmid/MiniLM-L6-H384-uncased-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-miread_neuro_large_en.md b/docs/_posts/ahmedlone127/2023-11-01-miread_neuro_large_en.md
new file mode 100644
index 000000000000..b6b4e5805d03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-miread_neuro_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English miread_neuro_large BertForSequenceClassification from biodatlab
+author: John Snow Labs
+name: miread_neuro_large
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`miread_neuro_large` is a English model originally trained by biodatlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/miread_neuro_large_en_5.1.4_3.4_1698811728236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/miread_neuro_large_en_5.1.4_3.4_1698811728236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|miread_neuro_large|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|418.8 MB|
+
+## References
+
+https://huggingface.co/biodatlab/MIReAD-Neuro-Large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-model_rpii2023_en.md b/docs/_posts/ahmedlone127/2023-11-01-model_rpii2023_en.md
new file mode 100644
index 000000000000..def221637712
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-model_rpii2023_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English model_rpii2023 BertForSequenceClassification from rpii2023
+author: John Snow Labs
+name: model_rpii2023
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_rpii2023` is a English model originally trained by rpii2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_rpii2023_en_5.1.4_3.4_1698805121892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_rpii2023_en_5.1.4_3.4_1698805121892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_rpii2023|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/rpii2023/model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-modelloscenari_en.md b/docs/_posts/ahmedlone127/2023-11-01-modelloscenari_en.md
new file mode 100644
index 000000000000..e96679474b02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-modelloscenari_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English modelloscenari BertForSequenceClassification from Marco127
+author: John Snow Labs
+name: modelloscenari
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelloscenari` is a English model originally trained by Marco127.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelloscenari_en_5.1.4_3.4_1698813498837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelloscenari_en_5.1.4_3.4_1698813498837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelloscenari|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/Marco127/ModelloScenari
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-modified_bert_toxicity_classification_en.md b/docs/_posts/ahmedlone127/2023-11-01-modified_bert_toxicity_classification_en.md
new file mode 100644
index 000000000000..48862ba871d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-modified_bert_toxicity_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English modified_bert_toxicity_classification BertForSequenceClassification from Ptato
+author: John Snow Labs
+name: modified_bert_toxicity_classification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modified_bert_toxicity_classification` is a English model originally trained by Ptato.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modified_bert_toxicity_classification_en_5.1.4_3.4_1698862102589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modified_bert_toxicity_classification_en_5.1.4_3.4_1698862102589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modified_bert_toxicity_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Ptato/Modified-Bert-Toxicity-Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-moresexistbert_edos_en.md b/docs/_posts/ahmedlone127/2023-11-01-moresexistbert_edos_en.md
new file mode 100644
index 000000000000..f7f57691da95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-moresexistbert_edos_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English moresexistbert_edos BertForSequenceClassification from clincolnoz
+author: John Snow Labs
+name: moresexistbert_edos
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`moresexistbert_edos` is a English model originally trained by clincolnoz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/moresexistbert_edos_en_5.1.4_3.4_1698845601388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/moresexistbert_edos_en_5.1.4_3.4_1698845601388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|moresexistbert_edos|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/clincolnoz/MoreSexistBERT-edos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-negativeresultdetector_en.md b/docs/_posts/ahmedlone127/2023-11-01-negativeresultdetector_en.md
new file mode 100644
index 000000000000..54fece4fe823
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-negativeresultdetector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English negativeresultdetector BertForSequenceClassification from ClinicalMetaScience
+author: John Snow Labs
+name: negativeresultdetector
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`negativeresultdetector` is a English model originally trained by ClinicalMetaScience.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/negativeresultdetector_en_5.1.4_3.4_1698861460145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/negativeresultdetector_en_5.1.4_3.4_1698861460145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|negativeresultdetector|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/ClinicalMetaScience/NegativeResultDetector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-negbleurt_en.md b/docs/_posts/ahmedlone127/2023-11-01-negbleurt_en.md
new file mode 100644
index 000000000000..39c3b78cfa80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-negbleurt_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English negbleurt BertForSequenceClassification from tum-nlp
+author: John Snow Labs
+name: negbleurt
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`negbleurt` is a English model originally trained by tum-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/negbleurt_en_5.1.4_3.4_1698831108772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/negbleurt_en_5.1.4_3.4_1698831108772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|negbleurt|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/tum-nlp/NegBLEURT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-nepalisentimentanalysis_ne.md b/docs/_posts/ahmedlone127/2023-11-01-nepalisentimentanalysis_ne.md
new file mode 100644
index 000000000000..442d3d0c81eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-nepalisentimentanalysis_ne.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Nepali (macrolanguage) nepalisentimentanalysis BertForSequenceClassification from dpkrm
+author: John Snow Labs
+name: nepalisentimentanalysis
+date: 2023-11-01
+tags: [bert, ne, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ne
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepalisentimentanalysis` is a Nepali (macrolanguage) model originally trained by dpkrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepalisentimentanalysis_ne_5.1.4_3.4_1698809346407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepalisentimentanalysis_ne_5.1.4_3.4_1698809346407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_category_classification_turkish|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/Kodiks/news-category-classification-turkish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-news_category_classifier_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-01-news_category_classifier_distilbert_en.md
new file mode 100644
index 000000000000..e2d3145bd647
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-news_category_classifier_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English news_category_classifier_distilbert BertForSequenceClassification from dima806
+author: John Snow Labs
+name: news_category_classifier_distilbert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_category_classifier_distilbert` is a English model originally trained by dima806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_category_classifier_distilbert_en_5.1.4_3.4_1698821352655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_category_classifier_distilbert_en_5.1.4_3.4_1698821352655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_classifier_news_turkish|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/aimped/nlp-classifier-news-tr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_q1_en.md b/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_q1_en.md
new file mode 100644
index 000000000000..a565fd105418
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_q1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_qual_q1 BertForSequenceClassification from maxspad
+author: John Snow Labs
+name: nlp_qual_q1
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_qual_q1` is a English model originally trained by maxspad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_qual_q1_en_5.1.4_3.4_1698806241364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_qual_q1_en_5.1.4_3.4_1698806241364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_qual_q1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/maxspad/nlp-qual-q1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_q2i_en.md b/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_q2i_en.md
new file mode 100644
index 000000000000..23d406b510ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_q2i_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_qual_q2i BertForSequenceClassification from maxspad
+author: John Snow Labs
+name: nlp_qual_q2i
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_qual_q2i` is a English model originally trained by maxspad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_qual_q2i_en_5.1.4_3.4_1698814072931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_qual_q2i_en_5.1.4_3.4_1698814072931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_qual_q2i|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/maxspad/nlp-qual-q2i
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_q3i_en.md b/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_q3i_en.md
new file mode 100644
index 000000000000..1da6d5db3d09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_q3i_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_qual_q3i BertForSequenceClassification from maxspad
+author: John Snow Labs
+name: nlp_qual_q3i
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_qual_q3i` is a English model originally trained by maxspad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_qual_q3i_en_5.1.4_3.4_1698807684915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_qual_q3i_en_5.1.4_3.4_1698807684915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_qual_q3i|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/maxspad/nlp-qual-q3i
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_qual_en.md b/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_qual_en.md
new file mode 100644
index 000000000000..34eb5140a891
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-nlp_qual_qual_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_qual_qual BertForSequenceClassification from maxspad
+author: John Snow Labs
+name: nlp_qual_qual
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_qual_qual` is a English model originally trained by maxspad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_qual_qual_en_5.1.4_3.4_1698813024287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_qual_qual_en_5.1.4_3.4_1698813024287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_qual_qual|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.5 MB|
+
+## References
+
+https://huggingface.co/maxspad/nlp-qual-qual
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-odio_bert_en.md b/docs/_posts/ahmedlone127/2023-11-01-odio_bert_en.md
new file mode 100644
index 000000000000..bf98cc2b132c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-odio_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English odio_bert BertForSequenceClassification from Mesay
+author: John Snow Labs
+name: odio_bert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`odio_bert` is a English model originally trained by Mesay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/odio_bert_en_5.1.4_3.4_1698872378435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/odio_bert_en_5.1.4_3.4_1698872378435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|one_for_all_toxicity_v3|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|667.2 MB|
+
+## References
+
+https://huggingface.co/FredZhang7/one-for-all-toxicity-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-paragraph_s36000_en.md b/docs/_posts/ahmedlone127/2023-11-01-paragraph_s36000_en.md
new file mode 100644
index 000000000000..3687e06ab3fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-paragraph_s36000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English paragraph_s36000 BertForSequenceClassification from jjonhwa
+author: John Snow Labs
+name: paragraph_s36000
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`paragraph_s36000` is a English model originally trained by jjonhwa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paragraph_s36000_en_5.1.4_3.4_1698809754085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paragraph_s36000_en_5.1.4_3.4_1698809754085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|paragraph_s36000|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/jjonhwa/paragraph_s36000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-pari_conditions_fine_tuned_en.md b/docs/_posts/ahmedlone127/2023-11-01-pari_conditions_fine_tuned_en.md
new file mode 100644
index 000000000000..384e07406684
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-pari_conditions_fine_tuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pari_conditions_fine_tuned BertForSequenceClassification from eboubetana
+author: John Snow Labs
+name: pari_conditions_fine_tuned
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pari_conditions_fine_tuned` is a English model originally trained by eboubetana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pari_conditions_fine_tuned_en_5.1.4_3.4_1698824696842.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pari_conditions_fine_tuned_en_5.1.4_3.4_1698824696842.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pari_conditions_fine_tuned|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/eboubetana/pari-conditions-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-pari_features_fine_tuned_en.md b/docs/_posts/ahmedlone127/2023-11-01-pari_features_fine_tuned_en.md
new file mode 100644
index 000000000000..4389033b03b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-pari_features_fine_tuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pari_features_fine_tuned BertForSequenceClassification from eboubetana
+author: John Snow Labs
+name: pari_features_fine_tuned
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pari_features_fine_tuned` is a English model originally trained by eboubetana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pari_features_fine_tuned_en_5.1.4_3.4_1698825996321.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pari_features_fine_tuned_en_5.1.4_3.4_1698825996321.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pari_features_fine_tuned|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/eboubetana/pari-features-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-parlabert_en.md b/docs/_posts/ahmedlone127/2023-11-01-parlabert_en.md
new file mode 100644
index 000000000000..ba240084920d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-parlabert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English parlabert BertForSequenceClassification from jesperjmb
+author: John Snow Labs
+name: parlabert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`parlabert` is a English model originally trained by jesperjmb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parlabert_en_5.1.4_3.4_1698860899906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parlabert_en_5.1.4_3.4_1698860899906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|parlabert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.4 MB|
+
+## References
+
+https://huggingface.co/jesperjmb/parlaBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-parrot_fluency_model_en.md b/docs/_posts/ahmedlone127/2023-11-01-parrot_fluency_model_en.md
new file mode 100644
index 000000000000..8ee86f4905f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-parrot_fluency_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English parrot_fluency_model BertForSequenceClassification from prithivida
+author: John Snow Labs
+name: parrot_fluency_model
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`parrot_fluency_model` is a English model originally trained by prithivida.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parrot_fluency_model_en_5.1.4_3.4_1698809541472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parrot_fluency_model_en_5.1.4_3.4_1698809541472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|partypress_monolingual_denmark|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|da|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/partypress/partypress-monolingual-denmark
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-partypress_monolingual_germany_de.md b/docs/_posts/ahmedlone127/2023-11-01-partypress_monolingual_germany_de.md
new file mode 100644
index 000000000000..40c2348b85be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-partypress_monolingual_germany_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German partypress_monolingual_germany BertForSequenceClassification from partypress
+author: John Snow Labs
+name: partypress_monolingual_germany
+date: 2023-11-01
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`partypress_monolingual_germany` is a German model originally trained by partypress.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/partypress_monolingual_germany_de_5.1.4_3.4_1698839698710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/partypress_monolingual_germany_de_5.1.4_3.4_1698839698710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|partypress_monolingual_germany|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/partypress/partypress-monolingual-germany
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-persian_text_sentiment_bert_v1_fa.md b/docs/_posts/ahmedlone127/2023-11-01-persian_text_sentiment_bert_v1_fa.md
new file mode 100644
index 000000000000..e2be1f9ea0ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-persian_text_sentiment_bert_v1_fa.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Persian persian_text_sentiment_bert_v1 BertForSequenceClassification from SeyedAli
+author: John Snow Labs
+name: persian_text_sentiment_bert_v1
+date: 2023-11-01
+tags: [bert, fa, open_source, sequence_classification, onnx]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`persian_text_sentiment_bert_v1` is a Persian model originally trained by SeyedAli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/persian_text_sentiment_bert_v1_fa_5.1.4_3.4_1698862250105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/persian_text_sentiment_bert_v1_fa_5.1.4_3.4_1698862250105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|persian_text_sentiment_bert_v1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|fa|
+|Size:|608.6 MB|
+
+## References
+
+https://huggingface.co/SeyedAli/Persian-Text-Sentiment-Bert-V1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-pico_evidence_classification_model_en.md b/docs/_posts/ahmedlone127/2023-11-01-pico_evidence_classification_model_en.md
new file mode 100644
index 000000000000..7916cd363226
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-pico_evidence_classification_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pico_evidence_classification_model BertForSequenceClassification from owaiskha9654
+author: John Snow Labs
+name: pico_evidence_classification_model
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pico_evidence_classification_model` is a English model originally trained by owaiskha9654.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pico_evidence_classification_model_en_5.1.4_3.4_1698843136513.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pico_evidence_classification_model_en_5.1.4_3.4_1698843136513.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pico_evidence_classification_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/owaiskha9654/PICO_Evidence_Classification_Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-pold_en.md b/docs/_posts/ahmedlone127/2023-11-01-pold_en.md
new file mode 100644
index 000000000000..922293d92d84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-pold_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pold BertForSequenceClassification from ijazulhaq
+author: John Snow Labs
+name: pold
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pold` is a English model originally trained by ijazulhaq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pold_en_5.1.4_3.4_1698823524801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pold_en_5.1.4_3.4_1698823524801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pold|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.7 MB|
+
+## References
+
+https://huggingface.co/ijazulhaq/pold
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-politicalbiasbert_en.md b/docs/_posts/ahmedlone127/2023-11-01-politicalbiasbert_en.md
new file mode 100644
index 000000000000..2cf917c8573a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-politicalbiasbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English politicalbiasbert BertForSequenceClassification from bucketresearch
+author: John Snow Labs
+name: politicalbiasbert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`politicalbiasbert` is a English model originally trained by bucketresearch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/politicalbiasbert_en_5.1.4_3.4_1698800433251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/politicalbiasbert_en_5.1.4_3.4_1698800433251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|politicalbiasbert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/bucketresearch/politicalBiasBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-product_name_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-product_name_classifier_en.md
new file mode 100644
index 000000000000..590f4a69e839
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-product_name_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English product_name_classifier BertForSequenceClassification from cbrosch
+author: John Snow Labs
+name: product_name_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`product_name_classifier` is a English model originally trained by cbrosch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/product_name_classifier_en_5.1.4_3.4_1698816594651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/product_name_classifier_en_5.1.4_3.4_1698816594651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|product_name_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/cbrosch/product_name_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-pubmed_biobert_text_classification_en.md b/docs/_posts/ahmedlone127/2023-11-01-pubmed_biobert_text_classification_en.md
new file mode 100644
index 000000000000..0d1a2ec1d698
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-pubmed_biobert_text_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pubmed_biobert_text_classification BertForSequenceClassification from saidhr20
+author: John Snow Labs
+name: pubmed_biobert_text_classification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pubmed_biobert_text_classification` is a English model originally trained by saidhr20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pubmed_biobert_text_classification_en_5.1.4_3.4_1698868393647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pubmed_biobert_text_classification_en_5.1.4_3.4_1698868393647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubmed_biobert_text_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/saidhr20/pubmed-biobert-text-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-pubmedbert_mnli_mednli_en.md b/docs/_posts/ahmedlone127/2023-11-01-pubmedbert_mnli_mednli_en.md
new file mode 100644
index 000000000000..3783f377e481
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-pubmedbert_mnli_mednli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pubmedbert_mnli_mednli BertForSequenceClassification from pritamdeka
+author: John Snow Labs
+name: pubmedbert_mnli_mednli
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pubmedbert_mnli_mednli` is a English model originally trained by pritamdeka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pubmedbert_mnli_mednli_en_5.1.4_3.4_1698830429167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pubmedbert_mnli_mednli_en_5.1.4_3.4_1698830429167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubmedbert_mnli_mednli|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/pritamdeka/PubMedBERT-MNLI-MedNLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-question_vs_statement_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-question_vs_statement_classifier_en.md
new file mode 100644
index 000000000000..bacffb25771f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-question_vs_statement_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English question_vs_statement_classifier BertForSequenceClassification from shahrukhx01
+author: John Snow Labs
+name: question_vs_statement_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`question_vs_statement_classifier` is a English model originally trained by shahrukhx01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_vs_statement_classifier_en_5.1.4_3.4_1698808580126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_vs_statement_classifier_en_5.1.4_3.4_1698808580126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_vs_statement_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/shahrukhx01/question-vs-statement-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-racebert_ethnicity_en.md b/docs/_posts/ahmedlone127/2023-11-01-racebert_ethnicity_en.md
new file mode 100644
index 000000000000..363c305bee65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-racebert_ethnicity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English racebert_ethnicity BertForSequenceClassification from pparasurama
+author: John Snow Labs
+name: racebert_ethnicity
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`racebert_ethnicity` is a English model originally trained by pparasurama.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/racebert_ethnicity_en_5.1.4_3.4_1698813415030.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/racebert_ethnicity_en_5.1.4_3.4_1698813415030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|racebert_ethnicity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/pparasurama/raceBERT-ethnicity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-re2g_reranker_nq_en.md b/docs/_posts/ahmedlone127/2023-11-01-re2g_reranker_nq_en.md
new file mode 100644
index 000000000000..ae54ac04ad10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-re2g_reranker_nq_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English re2g_reranker_nq BertForSequenceClassification from ibm
+author: John Snow Labs
+name: re2g_reranker_nq
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`re2g_reranker_nq` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/re2g_reranker_nq_en_5.1.4_3.4_1698810741451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/re2g_reranker_nq_en_5.1.4_3.4_1698810741451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|re2g_reranker_nq|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ibm/re2g-reranker-nq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-re2g_reranker_trex_en.md b/docs/_posts/ahmedlone127/2023-11-01-re2g_reranker_trex_en.md
new file mode 100644
index 000000000000..3fe814e4ab3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-re2g_reranker_trex_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English re2g_reranker_trex BertForSequenceClassification from ibm
+author: John Snow Labs
+name: re2g_reranker_trex
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`re2g_reranker_trex` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/re2g_reranker_trex_en_5.1.4_3.4_1698837023460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/re2g_reranker_trex_en_5.1.4_3.4_1698837023460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|re2g_reranker_trex|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ibm/re2g-reranker-trex
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-readability_spanish_benchmark_mbert_english_spanish_paragraphs_3class_en.md b/docs/_posts/ahmedlone127/2023-11-01-readability_spanish_benchmark_mbert_english_spanish_paragraphs_3class_en.md
new file mode 100644
index 000000000000..615e1d1eac2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-readability_spanish_benchmark_mbert_english_spanish_paragraphs_3class_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English readability_spanish_benchmark_mbert_english_spanish_paragraphs_3class BertForSequenceClassification from lmvasque
+author: John Snow Labs
+name: readability_spanish_benchmark_mbert_english_spanish_paragraphs_3class
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`readability_spanish_benchmark_mbert_english_spanish_paragraphs_3class` is a English model originally trained by lmvasque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/readability_spanish_benchmark_mbert_english_spanish_paragraphs_3class_en_5.1.4_3.4_1698837190035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/readability_spanish_benchmark_mbert_english_spanish_paragraphs_3class_en_5.1.4_3.4_1698837190035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_cold|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/thu-coai/roberta-base-cold
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-roberta_based_uncased_finetuned_financial_headline_en.md b/docs/_posts/ahmedlone127/2023-11-01-roberta_based_uncased_finetuned_financial_headline_en.md
new file mode 100644
index 000000000000..a70905ed21a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-roberta_based_uncased_finetuned_financial_headline_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_based_uncased_finetuned_financial_headline BertForSequenceClassification from odunola
+author: John Snow Labs
+name: roberta_based_uncased_finetuned_financial_headline
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_based_uncased_finetuned_financial_headline` is a English model originally trained by odunola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_based_uncased_finetuned_financial_headline_en_5.1.4_3.4_1698813674183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_based_uncased_finetuned_financial_headline_en_5.1.4_3.4_1698813674183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_based_uncased_finetuned_financial_headline|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|108.0 MB|
+
+## References
+
+https://huggingface.co/odunola/roberta-based_uncased-finetuned-financial-headline
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-roberta_tiny_imdb_en.md b/docs/_posts/ahmedlone127/2023-11-01-roberta_tiny_imdb_en.md
new file mode 100644
index 000000000000..924c4296a60f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-roberta_tiny_imdb_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_tiny_imdb BertForSequenceClassification from AntoineB
+author: John Snow Labs
+name: roberta_tiny_imdb
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tiny_imdb` is a English model originally trained by AntoineB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tiny_imdb_en_5.1.4_3.4_1698815916133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tiny_imdb_en_5.1.4_3.4_1698815916133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tiny_imdb|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|104.9 MB|
+
+## References
+
+https://huggingface.co/AntoineB/roberta-tiny-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-rosatom_survey_sentiment_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-rosatom_survey_sentiment_classifier_en.md
new file mode 100644
index 000000000000..358e9609bb89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-rosatom_survey_sentiment_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rosatom_survey_sentiment_classifier BertForSequenceClassification from traptrip
+author: John Snow Labs
+name: rosatom_survey_sentiment_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rosatom_survey_sentiment_classifier` is a English model originally trained by traptrip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rosatom_survey_sentiment_classifier_en_5.1.4_3.4_1698861858024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rosatom_survey_sentiment_classifier_en_5.1.4_3.4_1698861858024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_russian_sentiment_rusentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/sismetanin/rubert-ru-sentiment-rusentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-rubert_tiny2_cognitive_bias_en.md b/docs/_posts/ahmedlone127/2023-11-01-rubert_tiny2_cognitive_bias_en.md
new file mode 100644
index 000000000000..e537ab80e491
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-rubert_tiny2_cognitive_bias_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rubert_tiny2_cognitive_bias BertForSequenceClassification from amedvedev
+author: John Snow Labs
+name: rubert_tiny2_cognitive_bias
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_tiny2_cognitive_bias` is a English model originally trained by amedvedev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny2_cognitive_bias_en_5.1.4_3.4_1698814713224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny2_cognitive_bias_en_5.1.4_3.4_1698814713224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny2_russian_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/seara/rubert-tiny2-russian-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-rubert_tiny_comp_question_classification_en.md b/docs/_posts/ahmedlone127/2023-11-01-rubert_tiny_comp_question_classification_en.md
new file mode 100644
index 000000000000..ea8f9a551428
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-rubert_tiny_comp_question_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rubert_tiny_comp_question_classification BertForSequenceClassification from lilaspourpre
+author: John Snow Labs
+name: rubert_tiny_comp_question_classification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_tiny_comp_question_classification` is a English model originally trained by lilaspourpre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny_comp_question_classification_en_5.1.4_3.4_1698815919038.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny_comp_question_classification_en_5.1.4_3.4_1698815919038.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny_replicas_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/Den4ikAI/ruBert-tiny-replicas-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-rubert_tiny_stance_calssification_en.md b/docs/_posts/ahmedlone127/2023-11-01-rubert_tiny_stance_calssification_en.md
new file mode 100644
index 000000000000..5285960aebe9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-rubert_tiny_stance_calssification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rubert_tiny_stance_calssification BertForSequenceClassification from lilaspourpre
+author: John Snow Labs
+name: rubert_tiny_stance_calssification
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_tiny_stance_calssification` is a English model originally trained by lilaspourpre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny_stance_calssification_en_5.1.4_3.4_1698816201327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny_stance_calssification_en_5.1.4_3.4_1698816201327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|russian_toxicity_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/s-nlp/russian_toxicity_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-sa_bertchatgptapp_en.md b/docs/_posts/ahmedlone127/2023-11-01-sa_bertchatgptapp_en.md
new file mode 100644
index 000000000000..5cef47ca76e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-sa_bertchatgptapp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sa_bertchatgptapp BertForSequenceClassification from ninahf1503
+author: John Snow Labs
+name: sa_bertchatgptapp
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sa_bertchatgptapp` is a English model originally trained by ninahf1503.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sa_bertchatgptapp_en_5.1.4_3.4_1698808546386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sa_bertchatgptapp_en_5.1.4_3.4_1698808546386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sa_bertchatgptapp|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/ninahf1503/SA-BERTchatgptapp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-sands_en.md b/docs/_posts/ahmedlone127/2023-11-01-sands_en.md
new file mode 100644
index 000000000000..aad677e479f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-sands_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sands BertForSequenceClassification from NCHS
+author: John Snow Labs
+name: sands
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sands` is a English model originally trained by NCHS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sands_en_5.1.4_3.4_1698809145442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sands_en_5.1.4_3.4_1698809145442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sbert_russian_sentiment_rusentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/sismetanin/sbert-ru-sentiment-rusentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-scicite_classification_model_en.md b/docs/_posts/ahmedlone127/2023-11-01-scicite_classification_model_en.md
new file mode 100644
index 000000000000..0de1517f929e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-scicite_classification_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English scicite_classification_model BertForSequenceClassification from AlvianKhairi
+author: John Snow Labs
+name: scicite_classification_model
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scicite_classification_model` is a English model originally trained by AlvianKhairi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scicite_classification_model_en_5.1.4_3.4_1698840707113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scicite_classification_model_en_5.1.4_3.4_1698840707113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scicite_classification_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/AlvianKhairi/Scicite_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-scotus_v10_en.md b/docs/_posts/ahmedlone127/2023-11-01-scotus_v10_en.md
new file mode 100644
index 000000000000..86f8dc975062
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-scotus_v10_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English scotus_v10 BertForSequenceClassification from raminass
+author: John Snow Labs
+name: scotus_v10
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scotus_v10` is a English model originally trained by raminass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scotus_v10_en_5.1.4_3.4_1698844998471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scotus_v10_en_5.1.4_3.4_1698844998471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scotus_v10|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|131.6 MB|
+
+## References
+
+https://huggingface.co/raminass/scotus-v10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-sdg_classification_bert_en.md b/docs/_posts/ahmedlone127/2023-11-01-sdg_classification_bert_en.md
new file mode 100644
index 000000000000..5a94631504d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-sdg_classification_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sdg_classification_bert BertForSequenceClassification from sadickam
+author: John Snow Labs
+name: sdg_classification_bert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sdg_classification_bert` is a English model originally trained by sadickam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sdg_classification_bert_en_5.1.4_3.4_1698812128717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sdg_classification_bert_en_5.1.4_3.4_1698812128717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sdg_classification_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/sadickam/sdg-classification-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-sdg_classifier_osdg_en.md b/docs/_posts/ahmedlone127/2023-11-01-sdg_classifier_osdg_en.md
new file mode 100644
index 000000000000..889312e4efa5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-sdg_classifier_osdg_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sdg_classifier_osdg BertForSequenceClassification from jonas
+author: John Snow Labs
+name: sdg_classifier_osdg
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sdg_classifier_osdg` is a English model originally trained by jonas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sdg_classifier_osdg_en_5.1.4_3.4_1698807214966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sdg_classifier_osdg_en_5.1.4_3.4_1698807214966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sdg_classifier_osdg|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/jonas/sdg_classifier_osdg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-sell_buy_intent_classifier_bert_mini_en.md b/docs/_posts/ahmedlone127/2023-11-01-sell_buy_intent_classifier_bert_mini_en.md
new file mode 100644
index 000000000000..c8f3ab9c3dcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-sell_buy_intent_classifier_bert_mini_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sell_buy_intent_classifier_bert_mini BertForSequenceClassification from obsei-ai
+author: John Snow Labs
+name: sell_buy_intent_classifier_bert_mini
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sell_buy_intent_classifier_bert_mini` is a English model originally trained by obsei-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sell_buy_intent_classifier_bert_mini_en_5.1.4_3.4_1698830302437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sell_buy_intent_classifier_bert_mini_en_5.1.4_3.4_1698830302437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sell_buy_intent_classifier_bert_mini|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/obsei-ai/sell-buy-intent-classifier-bert-mini
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-sentence_aldi_en.md b/docs/_posts/ahmedlone127/2023-11-01-sentence_aldi_en.md
new file mode 100644
index 000000000000..29d139bf8170
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-sentence_aldi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentence_aldi BertForSequenceClassification from AMR-KELEG
+author: John Snow Labs
+name: sentence_aldi
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_aldi` is a English model originally trained by AMR-KELEG.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_aldi_en_5.1.4_3.4_1698818155232.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_aldi_en_5.1.4_3.4_1698818155232.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentence_aldi|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|610.9 MB|
+
+## References
+
+https://huggingface.co/AMR-KELEG/Sentence-ALDi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-sentence_level_certainty_en.md b/docs/_posts/ahmedlone127/2023-11-01-sentence_level_certainty_en.md
new file mode 100644
index 000000000000..895dd155e9fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-sentence_level_certainty_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentence_level_certainty BertForSequenceClassification from pedropei
+author: John Snow Labs
+name: sentence_level_certainty
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_level_certainty` is a English model originally trained by pedropei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_level_certainty_en_5.1.4_3.4_1698813298159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_level_certainty_en_5.1.4_3.4_1698813298159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentence_level_certainty|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.9 MB|
+
+## References
+
+https://huggingface.co/pedropei/sentence-level-certainty
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-sentiment_analysis_pretrained_en.md b/docs/_posts/ahmedlone127/2023-11-01-sentiment_analysis_pretrained_en.md
new file mode 100644
index 000000000000..be61ec4cd157
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-sentiment_analysis_pretrained_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_pretrained BertForSequenceClassification from prasadsawant7
+author: John Snow Labs
+name: sentiment_analysis_pretrained
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_pretrained` is a English model originally trained by prasadsawant7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_pretrained_en_5.1.4_3.4_1698811867688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_pretrained_en_5.1.4_3.4_1698811867688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_pretrained|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/prasadsawant7/sentiment-analysis-pretrained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-sentiment_model_sample_27go_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-01-sentiment_model_sample_27go_emotion_en.md
new file mode 100644
index 000000000000..5ae7bd6e8ab8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-sentiment_model_sample_27go_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_model_sample_27go_emotion BertForSequenceClassification from jkhan447
+author: John Snow Labs
+name: sentiment_model_sample_27go_emotion
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_sample_27go_emotion` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_sample_27go_emotion_en_5.1.4_3.4_1698815878849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_sample_27go_emotion_en_5.1.4_3.4_1698815878849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_ohb3_hubert_hungarian|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|hu|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/NYTK/sentiment-ohb3-hubert-hungarian
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-sentiment_xdistil_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-01-sentiment_xdistil_uncased_en.md
new file mode 100644
index 000000000000..9267cae5e118
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-sentiment_xdistil_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_xdistil_uncased BertForSequenceClassification from hakonmh
+author: John Snow Labs
+name: sentiment_xdistil_uncased
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_xdistil_uncased` is a English model originally trained by hakonmh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_xdistil_uncased_en_5.1.4_3.4_1698811595924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_xdistil_uncased_en_5.1.4_3.4_1698811595924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_xdistil_uncased|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|124.1 MB|
+
+## References
+
+https://huggingface.co/hakonmh/sentiment-xdistil-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-spam_ham_classifier_just_text_en.md b/docs/_posts/ahmedlone127/2023-11-01-spam_ham_classifier_just_text_en.md
new file mode 100644
index 000000000000..b7df368d31c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-spam_ham_classifier_just_text_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English spam_ham_classifier_just_text BertForSequenceClassification from martin-bendik
+author: John Snow Labs
+name: spam_ham_classifier_just_text
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spam_ham_classifier_just_text` is a English model originally trained by martin-bendik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spam_ham_classifier_just_text_en_5.1.4_3.4_1698862638749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spam_ham_classifier_just_text_en_5.1.4_3.4_1698862638749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spam_usernames_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/lokas/spam-usernames-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-spanish_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-01-spanish_sentiment_model_en.md
new file mode 100644
index 000000000000..ea80af189385
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-spanish_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English spanish_sentiment_model BertForSequenceClassification from karina-aquino
+author: John Snow Labs
+name: spanish_sentiment_model
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanish_sentiment_model` is a English model originally trained by karina-aquino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_sentiment_model_en_5.1.4_3.4_1698806293284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_sentiment_model_en_5.1.4_3.4_1698806293284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_sentiment_model|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/karina-aquino/spanish-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-sscibert_politics_en.md b/docs/_posts/ahmedlone127/2023-11-01-sscibert_politics_en.md
new file mode 100644
index 000000000000..ed5e739e2948
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-sscibert_politics_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sscibert_politics BertForSequenceClassification from kalawinka
+author: John Snow Labs
+name: sscibert_politics
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sscibert_politics` is a English model originally trained by kalawinka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sscibert_politics_en_5.1.4_3.4_1698815594551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sscibert_politics_en_5.1.4_3.4_1698815594551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sscibert_politics|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|412.1 MB|
+
+## References
+
+https://huggingface.co/kalawinka/SSciBERT_politics
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-stance_detection_en.md b/docs/_posts/ahmedlone127/2023-11-01-stance_detection_en.md
new file mode 100644
index 000000000000..2ed55532a955
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-stance_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English stance_detection BertForSequenceClassification from cheese7858
+author: John Snow Labs
+name: stance_detection
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stance_detection` is a English model originally trained by cheese7858.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stance_detection_en_5.1.4_3.4_1698815243866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stance_detection_en_5.1.4_3.4_1698815243866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stance_detection|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/cheese7858/stance_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-stsb_tinybert_l_4_en.md b/docs/_posts/ahmedlone127/2023-11-01-stsb_tinybert_l_4_en.md
new file mode 100644
index 000000000000..47c40cdca569
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-stsb_tinybert_l_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English stsb_tinybert_l_4 BertForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: stsb_tinybert_l_4
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stsb_tinybert_l_4` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_en_5.1.4_3.4_1698807848082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_tinybert_l_4_en_5.1.4_3.4_1698807848082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stsb_tinybert_l_4|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/stsb-TinyBERT-L-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-student_reasoning_en.md b/docs/_posts/ahmedlone127/2023-11-01-student_reasoning_en.md
new file mode 100644
index 000000000000..35e4f5b3e90d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-student_reasoning_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English student_reasoning BertForSequenceClassification from ddemszky
+author: John Snow Labs
+name: student_reasoning
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`student_reasoning` is a English model originally trained by ddemszky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/student_reasoning_en_5.1.4_3.4_1698805690235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/student_reasoning_en_5.1.4_3.4_1698805690235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|swedish_sentiment_violence|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|sv|
+|Size:|467.4 MB|
+
+## References
+
+https://huggingface.co/RecordedFuture/Swedish-Sentiment-Violence
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-synteract_en.md b/docs/_posts/ahmedlone127/2023-11-01-synteract_en.md
new file mode 100644
index 000000000000..79be023c2617
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-synteract_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English synteract BertForSequenceClassification from GleghornLab
+author: John Snow Labs
+name: synteract
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`synteract` is a English model originally trained by GleghornLab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/synteract_en_5.1.4_3.4_1698813025062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/synteract_en_5.1.4_3.4_1698813025062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|synteract|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/GleghornLab/SYNTERACT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-tda_bert_english_cola_en.md b/docs/_posts/ahmedlone127/2023-11-01-tda_bert_english_cola_en.md
new file mode 100644
index 000000000000..9b986ccaacd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-tda_bert_english_cola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tda_bert_english_cola BertForSequenceClassification from iproskurina
+author: John Snow Labs
+name: tda_bert_english_cola
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tda_bert_english_cola` is a English model originally trained by iproskurina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tda_bert_english_cola_en_5.1.4_3.4_1698814246031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tda_bert_english_cola_en_5.1.4_3.4_1698814246031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tda_bert_english_cola|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/iproskurina/tda-bert-en-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-tda_itabert_ita_cola_it.md b/docs/_posts/ahmedlone127/2023-11-01-tda_itabert_ita_cola_it.md
new file mode 100644
index 000000000000..c20d748d7795
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-tda_itabert_ita_cola_it.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Italian tda_itabert_ita_cola BertForSequenceClassification from iproskurina
+author: John Snow Labs
+name: tda_itabert_ita_cola
+date: 2023-11-01
+tags: [bert, it, open_source, sequence_classification, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tda_itabert_ita_cola` is a Italian model originally trained by iproskurina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tda_itabert_ita_cola_it_5.1.4_3.4_1698827284432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tda_itabert_ita_cola_it_5.1.4_3.4_1698827284432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tda_itabert_ita_cola|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|411.8 MB|
+
+## References
+
+https://huggingface.co/iproskurina/tda-itabert-ita-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-test_trainer_louislian2341_en.md b/docs/_posts/ahmedlone127/2023-11-01-test_trainer_louislian2341_en.md
new file mode 100644
index 000000000000..5e1d82470c6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-test_trainer_louislian2341_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English test_trainer_louislian2341 BertForSequenceClassification from louislian2341
+author: John Snow Labs
+name: test_trainer_louislian2341
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer_louislian2341` is a English model originally trained by louislian2341.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_louislian2341_en_5.1.4_3.4_1698815677470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_louislian2341_en_5.1.4_3.4_1698815677470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_louislian2341|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/louislian2341/test-trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-text_classification_hyosyung_highschool_en.md b/docs/_posts/ahmedlone127/2023-11-01-text_classification_hyosyung_highschool_en.md
new file mode 100644
index 000000000000..1e6866e4c3b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-text_classification_hyosyung_highschool_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English text_classification_hyosyung_highschool BertForSequenceClassification from logan221111
+author: John Snow Labs
+name: text_classification_hyosyung_highschool
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_hyosyung_highschool` is a English model originally trained by logan221111.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_hyosyung_highschool_en_5.1.4_3.4_1698812056421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_hyosyung_highschool_en_5.1.4_3.4_1698812056421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_hyosyung_highschool|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.5 MB|
+
+## References
+
+https://huggingface.co/logan221111/text_classification_Hyosyung_HighSchool
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-text_complexity_classification_de.md b/docs/_posts/ahmedlone127/2023-11-01-text_complexity_classification_de.md
new file mode 100644
index 000000000000..6e9f27e62676
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-text_complexity_classification_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German text_complexity_classification BertForSequenceClassification from krupper
+author: John Snow Labs
+name: text_complexity_classification
+date: 2023-11-01
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_complexity_classification` is a German model originally trained by krupper.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_complexity_classification_de_5.1.4_3.4_1698837848183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_complexity_classification_de_5.1.4_3.4_1698837848183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_complexity_classification|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|412.0 MB|
+
+## References
+
+https://huggingface.co/krupper/text-complexity-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-thestats2_en.md b/docs/_posts/ahmedlone127/2023-11-01-thestats2_en.md
new file mode 100644
index 000000000000..9b2e2ac8decb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-thestats2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English thestats2 BertForSequenceClassification from circulartext
+author: John Snow Labs
+name: thestats2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`thestats2` is a English model originally trained by circulartext.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/thestats2_en_5.1.4_3.4_1698814054362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/thestats2_en_5.1.4_3.4_1698814054362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|thestats2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/circulartext/thestats2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-thucnews_en.md b/docs/_posts/ahmedlone127/2023-11-01-thucnews_en.md
new file mode 100644
index 000000000000..e6da8752539a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-thucnews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English thucnews BertForSequenceClassification from shed-e
+author: John Snow Labs
+name: thucnews
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`thucnews` is a English model originally trained by shed-e.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/thucnews_en_5.1.4_3.4_1698817046621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/thucnews_en_5.1.4_3.4_1698817046621.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|thucnews|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|224.0 MB|
+
+## References
+
+https://huggingface.co/shed-e/thucnews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-tijdelijk_en.md b/docs/_posts/ahmedlone127/2023-11-01-tijdelijk_en.md
new file mode 100644
index 000000000000..350b4537caed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-tijdelijk_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tijdelijk BertForSequenceClassification from jairwaal
+author: John Snow Labs
+name: tijdelijk
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tijdelijk` is a English model originally trained by jairwaal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tijdelijk_en_5.1.4_3.4_1698815550244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tijdelijk_en_5.1.4_3.4_1698815550244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tijdelijk|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/jairwaal/tijdelijk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-tiny_bert_jdc_en.md b/docs/_posts/ahmedlone127/2023-11-01-tiny_bert_jdc_en.md
new file mode 100644
index 000000000000..b154709745ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-tiny_bert_jdc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tiny_bert_jdc BertForSequenceClassification from tkuye
+author: John Snow Labs
+name: tiny_bert_jdc
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_bert_jdc` is a English model originally trained by tkuye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_jdc_en_5.1.4_3.4_1698822477272.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_jdc_en_5.1.4_3.4_1698822477272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_jdc|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/tkuye/tiny-bert-jdc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-tiny_random_bertforsequenceclassification_hf_internal_testing_en.md b/docs/_posts/ahmedlone127/2023-11-01-tiny_random_bertforsequenceclassification_hf_internal_testing_en.md
new file mode 100644
index 000000000000..4d2fea707900
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-tiny_random_bertforsequenceclassification_hf_internal_testing_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tiny_random_bertforsequenceclassification_hf_internal_testing BertForSequenceClassification from hf-internal-testing
+author: John Snow Labs
+name: tiny_random_bertforsequenceclassification_hf_internal_testing
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_random_bertforsequenceclassification_hf_internal_testing` is a English model originally trained by hf-internal-testing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_bertforsequenceclassification_hf_internal_testing_en_5.1.4_3.4_1698801041961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_bertforsequenceclassification_hf_internal_testing_en_5.1.4_3.4_1698801041961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_bertforsequenceclassification_hf_internal_testing|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|353.9 KB|
+
+## References
+
+https://huggingface.co/hf-internal-testing/tiny-random-BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-tiny_random_bertforsequenceclassification_ydshieh_en.md b/docs/_posts/ahmedlone127/2023-11-01-tiny_random_bertforsequenceclassification_ydshieh_en.md
new file mode 100644
index 000000000000..40a094ba0134
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-tiny_random_bertforsequenceclassification_ydshieh_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tiny_random_bertforsequenceclassification_ydshieh BertForSequenceClassification from ydshieh
+author: John Snow Labs
+name: tiny_random_bertforsequenceclassification_ydshieh
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_random_bertforsequenceclassification_ydshieh` is a English model originally trained by ydshieh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_bertforsequenceclassification_ydshieh_en_5.1.4_3.4_1698861919854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_bertforsequenceclassification_ydshieh_en_5.1.4_3.4_1698861919854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_bertforsequenceclassification_ydshieh|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|353.8 KB|
+
+## References
+
+https://huggingface.co/ydshieh/tiny-random-BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-tinybert_29_med_intents_en.md b/docs/_posts/ahmedlone127/2023-11-01-tinybert_29_med_intents_en.md
new file mode 100644
index 000000000000..719d312901f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-tinybert_29_med_intents_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tinybert_29_med_intents BertForSequenceClassification from m-aliabbas1
+author: John Snow Labs
+name: tinybert_29_med_intents
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinybert_29_med_intents` is a English model originally trained by m-aliabbas1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_29_med_intents_en_5.1.4_3.4_1698863442183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_29_med_intents_en_5.1.4_3.4_1698863442183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|told_breton_binary_samoan_bertimbau|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/alexandreteles/told_br_binary_sm_bertimbau
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-tool_choose_ko.md b/docs/_posts/ahmedlone127/2023-11-01-tool_choose_ko.md
new file mode 100644
index 000000000000..e211afb4999c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-tool_choose_ko.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Korean tool_choose BertForSequenceClassification from hohorong
+author: John Snow Labs
+name: tool_choose
+date: 2023-11-01
+tags: [bert, ko, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tool_choose` is a Korean model originally trained by hohorong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tool_choose_ko_5.1.4_3.4_1698811538754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tool_choose_ko_5.1.4_3.4_1698811538754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tool_choose|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ko|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/hohorong/tool_choose
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-topic_classification_20ng_bert_en.md b/docs/_posts/ahmedlone127/2023-11-01-topic_classification_20ng_bert_en.md
new file mode 100644
index 000000000000..f9bc52db67e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-topic_classification_20ng_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_classification_20ng_bert BertForSequenceClassification from dsmitran
+author: John Snow Labs
+name: topic_classification_20ng_bert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_classification_20ng_bert` is a English model originally trained by dsmitran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_classification_20ng_bert_en_5.1.4_3.4_1698861485981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_classification_20ng_bert_en_5.1.4_3.4_1698861485981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_classification_20ng_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/dsmitran/topic-classification-20ng-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-topic_xdistil_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-01-topic_xdistil_uncased_en.md
new file mode 100644
index 000000000000..f9ccf217ffca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-topic_xdistil_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_xdistil_uncased BertForSequenceClassification from hakonmh
+author: John Snow Labs
+name: topic_xdistil_uncased
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_xdistil_uncased` is a English model originally trained by hakonmh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_xdistil_uncased_en_5.1.4_3.4_1698835252023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_xdistil_uncased_en_5.1.4_3.4_1698835252023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toutiao|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/myml/toutiao
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-toxic_bert_german_de.md b/docs/_posts/ahmedlone127/2023-11-01-toxic_bert_german_de.md
new file mode 100644
index 000000000000..7ae0b707e280
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-toxic_bert_german_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German toxic_bert_german BertForSequenceClassification from ankekat1000
+author: John Snow Labs
+name: toxic_bert_german
+date: 2023-11-01
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_bert_german` is a German model originally trained by ankekat1000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_bert_german_de_5.1.4_3.4_1698827688688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_bert_german_de_5.1.4_3.4_1698827688688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trac2020_all_c_bert_base_multilingual_uncased|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/socialmediaie/TRAC2020_ALL_C_bert-base-multilingual-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-trading_ai_en.md b/docs/_posts/ahmedlone127/2023-11-01-trading_ai_en.md
new file mode 100644
index 000000000000..bc1f6b337f2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-trading_ai_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English trading_ai BertForSequenceClassification from papepipopu
+author: John Snow Labs
+name: trading_ai
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trading_ai` is a English model originally trained by papepipopu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trading_ai_en_5.1.4_3.4_1698861489258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trading_ai_en_5.1.4_3.4_1698861489258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trading_ai|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/papepipopu/trading_ai
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-trainer_projet7_en.md b/docs/_posts/ahmedlone127/2023-11-01-trainer_projet7_en.md
new file mode 100644
index 000000000000..c09a1f617f96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-trainer_projet7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English trainer_projet7 BertForSequenceClassification from ChrisX42
+author: John Snow Labs
+name: trainer_projet7
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer_projet7` is a English model originally trained by ChrisX42.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer_projet7_en_5.1.4_3.4_1698813818877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer_projet7_en_5.1.4_3.4_1698813818877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tunibert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ar|
+|Size:|414.2 MB|
+
+## References
+
+https://huggingface.co/AhmedBou/TuniBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-turkish_bert_uncased_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-01-turkish_bert_uncased_sentiment_en.md
new file mode 100644
index 000000000000..89fa35bfa42d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-turkish_bert_uncased_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English turkish_bert_uncased_sentiment BertForSequenceClassification from yigitbekir
+author: John Snow Labs
+name: turkish_bert_uncased_sentiment
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`turkish_bert_uncased_sentiment` is a English model originally trained by yigitbekir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/turkish_bert_uncased_sentiment_en_5.1.4_3.4_1698840984177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/turkish_bert_uncased_sentiment_en_5.1.4_3.4_1698840984177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|turkish_bert_uncased_sentiment|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|414.6 MB|
+
+## References
+
+https://huggingface.co/yigitbekir/turkish-bert-uncased-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-tydiqa_boolean_question_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-tydiqa_boolean_question_classifier_en.md
new file mode 100644
index 000000000000..7649c761f2ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-tydiqa_boolean_question_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tydiqa_boolean_question_classifier BertForSequenceClassification from PrimeQA
+author: John Snow Labs
+name: tydiqa_boolean_question_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tydiqa_boolean_question_classifier` is a English model originally trained by PrimeQA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tydiqa_boolean_question_classifier_en_5.1.4_3.4_1698814284898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tydiqa_boolean_question_classifier_en_5.1.4_3.4_1698814284898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tydiqa_boolean_question_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/PrimeQA/tydiqa-boolean-question-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-udot_forunf_mk1_en.md b/docs/_posts/ahmedlone127/2023-11-01-udot_forunf_mk1_en.md
new file mode 100644
index 000000000000..453448afecc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-udot_forunf_mk1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English udot_forunf_mk1 BertForSequenceClassification from parthsolanke
+author: John Snow Labs
+name: udot_forunf_mk1
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`udot_forunf_mk1` is a English model originally trained by parthsolanke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/udot_forunf_mk1_en_5.1.4_3.4_1698843898830.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/udot_forunf_mk1_en_5.1.4_3.4_1698843898830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|udot_forunf_mk1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|260.7 MB|
+
+## References
+
+https://huggingface.co/parthsolanke/udot-forunf-mk1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-udot_mk1_en.md b/docs/_posts/ahmedlone127/2023-11-01-udot_mk1_en.md
new file mode 100644
index 000000000000..124ce18440da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-udot_mk1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English udot_mk1 BertForSequenceClassification from parthsolanke
+author: John Snow Labs
+name: udot_mk1
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`udot_mk1` is a English model originally trained by parthsolanke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/udot_mk1_en_5.1.4_3.4_1698843386032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/udot_mk1_en_5.1.4_3.4_1698843386032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|udot_mk1|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|260.8 MB|
+
+## References
+
+https://huggingface.co/parthsolanke/udot-mk1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-udot_mk2_en.md b/docs/_posts/ahmedlone127/2023-11-01-udot_mk2_en.md
new file mode 100644
index 000000000000..cfb9e8d0ee64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-udot_mk2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English udot_mk2 BertForSequenceClassification from parthsolanke
+author: John Snow Labs
+name: udot_mk2
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`udot_mk2` is a English model originally trained by parthsolanke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/udot_mk2_en_5.1.4_3.4_1698814251155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/udot_mk2_en_5.1.4_3.4_1698814251155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|udot_mk2|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|260.7 MB|
+
+## References
+
+https://huggingface.co/parthsolanke/udot-mk2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-unbias_classification_bert_en.md b/docs/_posts/ahmedlone127/2023-11-01-unbias_classification_bert_en.md
new file mode 100644
index 000000000000..00a73319968a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-unbias_classification_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English unbias_classification_bert BertForSequenceClassification from newsmediabias
+author: John Snow Labs
+name: unbias_classification_bert
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unbias_classification_bert` is a English model originally trained by newsmediabias.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unbias_classification_bert_en_5.1.4_3.4_1698804751622.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unbias_classification_bert_en_5.1.4_3.4_1698804751622.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unbias_classification_bert|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/newsmediabias/UnBIAS-classification-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-unbias_classification_bert_old_en.md b/docs/_posts/ahmedlone127/2023-11-01-unbias_classification_bert_old_en.md
new file mode 100644
index 000000000000..e19f2b436d3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-unbias_classification_bert_old_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English unbias_classification_bert_old BertForSequenceClassification from newsmediabias
+author: John Snow Labs
+name: unbias_classification_bert_old
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unbias_classification_bert_old` is a English model originally trained by newsmediabias.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unbias_classification_bert_old_en_5.1.4_3.4_1698814803910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unbias_classification_bert_old_en_5.1.4_3.4_1698814803910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unbias_classification_bert_old|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/newsmediabias/UnBIAS-classification-bert-old
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-unbias_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-01-unbias_classifier_en.md
new file mode 100644
index 000000000000..ea21ebcb4bdb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-unbias_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English unbias_classifier BertForSequenceClassification from newsmediabias
+author: John Snow Labs
+name: unbias_classifier
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unbias_classifier` is a English model originally trained by newsmediabias.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unbias_classifier_en_5.1.4_3.4_1698861807970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unbias_classifier_en_5.1.4_3.4_1698861807970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unbias_classifier|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/newsmediabias/UnBIAS-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-unicausal_seq_baseline_en.md b/docs/_posts/ahmedlone127/2023-11-01-unicausal_seq_baseline_en.md
new file mode 100644
index 000000000000..a2b65b2ce1a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-unicausal_seq_baseline_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English unicausal_seq_baseline BertForSequenceClassification from tanfiona
+author: John Snow Labs
+name: unicausal_seq_baseline
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unicausal_seq_baseline` is a English model originally trained by tanfiona.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unicausal_seq_baseline_en_5.1.4_3.4_1698826339240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unicausal_seq_baseline_en_5.1.4_3.4_1698826339240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vietnamese_content_cls|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|vi|
+|Size:|501.5 MB|
+
+## References
+
+https://huggingface.co/vietdata/vietnamese-content-cls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-xuyuan_trial_sentiment_bert_chinese_en.md b/docs/_posts/ahmedlone127/2023-11-01-xuyuan_trial_sentiment_bert_chinese_en.md
new file mode 100644
index 000000000000..6a7c849b759c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-xuyuan_trial_sentiment_bert_chinese_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English xuyuan_trial_sentiment_bert_chinese BertForSequenceClassification from touch20032003
+author: John Snow Labs
+name: xuyuan_trial_sentiment_bert_chinese
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xuyuan_trial_sentiment_bert_chinese` is a English model originally trained by touch20032003.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xuyuan_trial_sentiment_bert_chinese_en_5.1.4_3.4_1698810003208.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xuyuan_trial_sentiment_bert_chinese_en_5.1.4_3.4_1698810003208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xuyuan_trial_sentiment_bert_chinese|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.4 MB|
+
+## References
+
+https://huggingface.co/touch20032003/xuyuan-trial-sentiment-bert-chinese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-yt_list_en.md b/docs/_posts/ahmedlone127/2023-11-01-yt_list_en.md
new file mode 100644
index 000000000000..5f4532405f31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-yt_list_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English yt_list BertForSequenceClassification from focia
+author: John Snow Labs
+name: yt_list
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yt_list` is a English model originally trained by focia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yt_list_en_5.1.4_3.4_1698860934022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yt_list_en_5.1.4_3.4_1698860934022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yt_list|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/focia/yt-list
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-01-yt_negativity_en.md b/docs/_posts/ahmedlone127/2023-11-01-yt_negativity_en.md
new file mode 100644
index 000000000000..8ea8ddf535cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-01-yt_negativity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English yt_negativity BertForSequenceClassification from focia
+author: John Snow Labs
+name: yt_negativity
+date: 2023-11-01
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.1.4
+spark_version: 3.4
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yt_negativity` is a English model originally trained by focia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yt_negativity_en_5.1.4_3.4_1698816056064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yt_negativity_en_5.1.4_3.4_1698816056064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yt_negativity|
+|Compatibility:|Spark NLP 5.1.4+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/focia/yt-negativity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_chemical_en.md b/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_chemical_en.md
new file mode 100644
index 000000000000..e558fa336232
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_chemical_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_chemical BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_chemical
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_chemical` is a English model originally trained by pruas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_chemical_en_5.2.0_3.0_1699314054977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_chemical_en_5.2.0_3.0_1699314054977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bent_pubmedbert_ner_chemical|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/pruas/BENT-PubMedBERT-NER-Chemical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_disease_en.md b/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_disease_en.md
new file mode 100644
index 000000000000..86932b12de7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_disease BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_disease
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_disease` is a English model originally trained by pruas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_disease_en_5.2.0_3.0_1699314054888.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_disease_en_5.2.0_3.0_1699314054888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bent_pubmedbert_ner_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/pruas/BENT-PubMedBERT-NER-Disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_gene_en.md b/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_gene_en.md
new file mode 100644
index 000000000000..29a505f38376
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bent_pubmedbert_ner_gene_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_gene BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_gene
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_gene` is a English model originally trained by pruas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_gene_en_5.2.0_3.0_1699304365196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_gene_en_5.2.0_3.0_1699304365196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bent_pubmedbert_ner_gene|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/pruas/BENT-PubMedBERT-NER-Gene
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_addresses_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_addresses_en.md
new file mode 100644
index 000000000000..f27aa8f38a7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_addresses_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_addresses BertForTokenClassification from ctrlbuzz
+author: John Snow Labs
+name: bert_addresses
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_addresses` is a English model originally trained by ctrlbuzz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_addresses_en_5.2.0_3.0_1699304551042.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_addresses_en_5.2.0_3.0_1699304551042.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_cased_masakhaner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/Davlan/bert-base-multilingual-cased-masakhaner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_italian_cased_ner_it.md b/docs/_posts/ahmedlone127/2023-11-06-bert_italian_cased_ner_it.md
new file mode 100644
index 000000000000..824127f46052
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_italian_cased_ner_it.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Italian bert_italian_cased_ner BertForTokenClassification from osiria
+author: John Snow Labs
+name: bert_italian_cased_ner
+date: 2023-11-06
+tags: [bert, it, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: it
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_italian_cased_ner` is a Italian model originally trained by osiria.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_italian_cased_ner_it_5.2.0_3.0_1699303842218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_italian_cased_ner_it_5.2.0_3.0_1699303842218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_italian_cased_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|it|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/osiria/bert-italian-cased-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_italian_finetuned_ner_it.md b/docs/_posts/ahmedlone127/2023-11-06-bert_italian_finetuned_ner_it.md
new file mode 100644
index 000000000000..d11875f09155
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_italian_finetuned_ner_it.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Italian bert_italian_finetuned_ner BertForTokenClassification from nickprock
+author: John Snow Labs
+name: bert_italian_finetuned_ner
+date: 2023-11-06
+tags: [bert, it, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: it
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_italian_finetuned_ner` is a Italian model originally trained by nickprock.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_italian_finetuned_ner_it_5.2.0_3.0_1699307848390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_italian_finetuned_ner_it_5.2.0_3.0_1699307848390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_italian_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|it|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/nickprock/bert-italian-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_italian_uncased_ner_it.md b/docs/_posts/ahmedlone127/2023-11-06-bert_italian_uncased_ner_it.md
new file mode 100644
index 000000000000..4445da7b9773
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_italian_uncased_ner_it.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Italian bert_italian_uncased_ner BertForTokenClassification from osiria
+author: John Snow Labs
+name: bert_italian_uncased_ner
+date: 2023-11-06
+tags: [bert, it, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: it
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_italian_uncased_ner` is a Italian model originally trained by osiria.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_italian_uncased_ner_it_5.2.0_3.0_1699304734543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_italian_uncased_ner_it_5.2.0_3.0_1699304734543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_ajgp_bert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/AJGP/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alekseykorshuk_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alekseykorshuk_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..de6fcf7fa51d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alekseykorshuk_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_alekseykorshuk_bert_finetuned_ner BertForTokenClassification from AlekseyKorshuk
+author: John Snow Labs
+name: bert_ner_alekseykorshuk_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_alekseykorshuk_bert_finetuned_ner` is a English model originally trained by AlekseyKorshuk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_alekseykorshuk_bert_finetuned_ner_en_5.2.0_3.0_1699270653499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_alekseykorshuk_bert_finetuned_ner_en_5.2.0_3.0_1699270653499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_alekseykorshuk_bert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/AlekseyKorshuk/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alexander_learn_bert_finetuned_ner_accelerate_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alexander_learn_bert_finetuned_ner_accelerate_en.md
new file mode 100644
index 000000000000..e520231ff186
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alexander_learn_bert_finetuned_ner_accelerate_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_alexander_learn_bert_finetuned_ner_accelerate BertForTokenClassification from Alexander-Learn
+author: John Snow Labs
+name: bert_ner_alexander_learn_bert_finetuned_ner_accelerate
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_alexander_learn_bert_finetuned_ner_accelerate` is a English model originally trained by Alexander-Learn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_alexander_learn_bert_finetuned_ner_accelerate_en_5.2.0_3.0_1699270645066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_alexander_learn_bert_finetuned_ner_accelerate_en_5.2.0_3.0_1699270645066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_alexander_learn_bert_finetuned_ner_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Alexander-Learn/bert-finetuned-ner-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alexander_learn_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alexander_learn_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..ae84d5a6cf3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alexander_learn_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_alexander_learn_bert_finetuned_ner BertForTokenClassification from Alexander-Learn
+author: John Snow Labs
+name: bert_ner_alexander_learn_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_alexander_learn_bert_finetuned_ner` is a English model originally trained by Alexander-Learn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_alexander_learn_bert_finetuned_ner_en_5.2.0_3.0_1699270657984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_alexander_learn_bert_finetuned_ner_en_5.2.0_3.0_1699270657984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_alexander_learn_bert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Alexander-Learn/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alexanderpeter_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alexanderpeter_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..9f0ed17def7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_alexanderpeter_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_alexanderpeter_bert_finetuned_ner BertForTokenClassification from AlexanderPeter
+author: John Snow Labs
+name: bert_ner_alexanderpeter_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_alexanderpeter_bert_finetuned_ner` is a English model originally trained by AlexanderPeter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_alexanderpeter_bert_finetuned_ner_en_5.2.0_3.0_1699270877112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_alexanderpeter_bert_finetuned_ner_en_5.2.0_3.0_1699270877112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_aneela_bert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Aneela/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_anery_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_anery_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..326e2799e362
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_anery_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_anery_bert_finetuned_ner BertForTokenClassification from Anery
+author: John Snow Labs
+name: bert_ner_anery_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_anery_bert_finetuned_ner` is a English model originally trained by Anery.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_anery_bert_finetuned_ner_en_5.2.0_3.0_1699271277614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_anery_bert_finetuned_ner_en_5.2.0_3.0_1699271277614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc2gm_gene_imbalancedpubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC2GM-Gene_ImbalancedPubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc2gm_gene_imbalancedscibert_scivocab_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc2gm_gene_imbalancedscibert_scivocab_cased_en.md
new file mode 100644
index 000000000000..99a395dc526e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc2gm_gene_imbalancedscibert_scivocab_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc2gm_gene_imbalancedscibert_scivocab_cased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc2gm_gene_imbalancedscibert_scivocab_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc2gm_gene_imbalancedscibert_scivocab_cased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc2gm_gene_imbalancedscibert_scivocab_cased_en_5.2.0_3.0_1699271892513.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc2gm_gene_imbalancedscibert_scivocab_cased_en_5.2.0_3.0_1699271892513.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc2gm_gene_imbalancedscibert_scivocab_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC2GM-Gene_Imbalancedscibert_scivocab_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc2gm_gene_modified_pubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc2gm_gene_modified_pubmedbert_en.md
new file mode 100644
index 000000000000..1a94c1ffdcf5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc2gm_gene_modified_pubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc2gm_gene_modified_pubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc2gm_gene_modified_pubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc2gm_gene_modified_pubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc2gm_gene_modified_pubmedbert_en_5.2.0_3.0_1699270871971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc2gm_gene_modified_pubmedbert_en_5.2.0_3.0_1699270871971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc2gm_gene_modified_pubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC2GM-Gene-Modified_PubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc2gm_gene_modified_scibert_scivocab_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc2gm_gene_modified_scibert_scivocab_cased_en.md
new file mode 100644
index 000000000000..96a3ebf2237c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc2gm_gene_modified_scibert_scivocab_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc2gm_gene_modified_scibert_scivocab_cased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc2gm_gene_modified_scibert_scivocab_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc2gm_gene_modified_scibert_scivocab_cased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc2gm_gene_modified_scibert_scivocab_cased_en_5.2.0_3.0_1699270887496.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc2gm_gene_modified_scibert_scivocab_cased_en_5.2.0_3.0_1699270887496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc2gm_gene_modified_scibert_scivocab_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC2GM-Gene-Modified_scibert_scivocab_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_chem_pubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_chem_pubmedbert_en.md
new file mode 100644
index 000000000000..dbe7e4ff0bb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_chem_pubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_chem_pubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_chem_pubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_chem_pubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_chem_pubmedbert_en_5.2.0_3.0_1699271459302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_chem_pubmedbert_en_5.2.0_3.0_1699271459302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_chem_pubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4_CHEM_PubmedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_biobert_v1.1_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_biobert_v1.1_en.md
new file mode 100644
index 000000000000..c7c5ad9cfbd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_biobert_v1.1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_modified_biobert_v1.1 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_modified_biobert_v1.1
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_modified_biobert_v1.1` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_modified_biobert_v1.1_en_5.2.0_3.0_1699271684661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_modified_biobert_v1.1_en_5.2.0_3.0_1699271684661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_modified_biobert_v1.1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4_Modified-biobert-v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md
new file mode 100644
index 000000000000..d3d319753d8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_modified_biomednlp_pubmedbert_base_uncased_abstract BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_modified_biomednlp_pubmedbert_base_uncased_abstract
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_modified_biomednlp_pubmedbert_base_uncased_abstract` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_modified_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699271647471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_modified_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699271647471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_modified_biomednlp_pubmedbert_base_uncased_abstract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4_Modified_BiomedNLP-PubMedBERT-base-uncased-abstract
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_en.md
new file mode 100644
index 000000000000..ba4612079881
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_modified_bluebert_pubmed_uncased_l_12_h_768_a_12 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_modified_bluebert_pubmed_uncased_l_12_h_768_a_12
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_modified_bluebert_pubmed_uncased_l_12_h_768_a_12` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_en_5.2.0_3.0_1699271880315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_en_5.2.0_3.0_1699271880315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_modified_bluebert_pubmed_uncased_l_12_h_768_a_12|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4_Modified-bluebert_pubmed_uncased_L-12_H-768_A-12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_pubmedbert_small_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_pubmedbert_small_en.md
new file mode 100644
index 000000000000..7aa9c2b696e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_pubmedbert_small_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_modified_pubmedbert_small BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_modified_pubmedbert_small
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_modified_pubmedbert_small` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_modified_pubmedbert_small_en_5.2.0_3.0_1699271999583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_modified_pubmedbert_small_en_5.2.0_3.0_1699271999583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_modified_pubmedbert_small|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4-modified-PubmedBert_small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_scibert_scivocab_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_scibert_scivocab_uncased_en.md
new file mode 100644
index 000000000000..1ae5d68f1d91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_modified_scibert_scivocab_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_modified_scibert_scivocab_uncased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_modified_scibert_scivocab_uncased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_modified_scibert_scivocab_uncased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_modified_scibert_scivocab_uncased_en_5.2.0_3.0_1699273014223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_modified_scibert_scivocab_uncased_en_5.2.0_3.0_1699273014223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_modified_scibert_scivocab_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4_Modified-scibert_scivocab_uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_biobert_v1.1_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_biobert_v1.1_en.md
new file mode 100644
index 000000000000..69c425a81214
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_biobert_v1.1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_original_biobert_v1.1 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_original_biobert_v1.1
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_original_biobert_v1.1` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_biobert_v1.1_en_5.2.0_3.0_1699272091400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_biobert_v1.1_en_5.2.0_3.0_1699272091400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_original_biobert_v1.1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4-Original-biobert-v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_biomednlp_pubmedbert_base_uncased_abstract_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_biomednlp_pubmedbert_base_uncased_abstract_en.md
new file mode 100644
index 000000000000..2044c1051d12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_biomednlp_pubmedbert_base_uncased_abstract_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_original_biomednlp_pubmedbert_base_uncased_abstract BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_original_biomednlp_pubmedbert_base_uncased_abstract
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_original_biomednlp_pubmedbert_base_uncased_abstract` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699271894218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699271894218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_original_biomednlp_pubmedbert_base_uncased_abstract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4_Original-BiomedNLP-PubMedBERT-base-uncased-abstract
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_bluebert_pubmed_uncased_l_12_h_768_a_12_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_bluebert_pubmed_uncased_l_12_h_768_a_12_en.md
new file mode 100644
index 000000000000..b75549f66928
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_bluebert_pubmed_uncased_l_12_h_768_a_12_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_original_bluebert_pubmed_uncased_l_12_h_768_a_12 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_original_bluebert_pubmed_uncased_l_12_h_768_a_12
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_original_bluebert_pubmed_uncased_l_12_h_768_a_12` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_bluebert_pubmed_uncased_l_12_h_768_a_12_en_5.2.0_3.0_1699272091362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_bluebert_pubmed_uncased_l_12_h_768_a_12_en_5.2.0_3.0_1699272091362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_original_bluebert_pubmed_uncased_l_12_h_768_a_12|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4-Original-bluebert_pubmed_uncased_L-12_H-768_A-12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_pubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_pubmedbert_en.md
new file mode 100644
index 000000000000..06fb4861eca6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_pubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_original_pubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_original_pubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_original_pubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_pubmedbert_en_5.2.0_3.0_1699272279631.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_pubmedbert_en_5.2.0_3.0_1699272279631.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_original_pubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4-original-PubmedBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_pubmedbert_small_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_pubmedbert_small_en.md
new file mode 100644
index 000000000000..46ea4ee3dcc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_pubmedbert_small_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_original_pubmedbert_small BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_original_pubmedbert_small
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_original_pubmedbert_small` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_pubmedbert_small_en_5.2.0_3.0_1699271640545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_pubmedbert_small_en_5.2.0_3.0_1699271640545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_original_pubmedbert_small|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4-original-PubmedBert_small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_scibert_scivocab_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_scibert_scivocab_uncased_en.md
new file mode 100644
index 000000000000..80e567967ee1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4_original_scibert_scivocab_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4_original_scibert_scivocab_uncased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4_original_scibert_scivocab_uncased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4_original_scibert_scivocab_uncased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_scibert_scivocab_uncased_en_5.2.0_3.0_1699271827890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4_original_scibert_scivocab_uncased_en_5.2.0_3.0_1699271827890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4_original_scibert_scivocab_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4-Original-scibert_scivocab_uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_biobert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_biobert_384_en.md
new file mode 100644
index 000000000000..a8fadc215ff2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_biobert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_modified_biobert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_modified_biobert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_modified_biobert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_biobert_384_en_5.2.0_3.0_1699272076197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_biobert_384_en_5.2.0_3.0_1699272076197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_modified_biobert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Modified-BioBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_biobert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_biobert_512_en.md
new file mode 100644
index 000000000000..765507ac58db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_biobert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_modified_biobert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_modified_biobert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_modified_biobert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_biobert_512_en_5.2.0_3.0_1699270857924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_biobert_512_en_5.2.0_3.0_1699270857924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_modified_biobert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Modified-BioBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_bluebert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_bluebert_384_en.md
new file mode 100644
index 000000000000..befe11e25b8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_bluebert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_modified_bluebert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_modified_bluebert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_modified_bluebert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_bluebert_384_en_5.2.0_3.0_1699270658502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_bluebert_384_en_5.2.0_3.0_1699270658502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_modified_bluebert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Modified-BlueBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_bluebert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_bluebert_512_en.md
new file mode 100644
index 000000000000..7c9b32c1a0e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_bluebert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_modified_bluebert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_modified_bluebert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_modified_bluebert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_bluebert_512_en_5.2.0_3.0_1699270885638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_bluebert_512_en_5.2.0_3.0_1699270885638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_modified_bluebert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Modified-BlueBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_pubmedbert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_pubmedbert_384_en.md
new file mode 100644
index 000000000000..ed7edc007d7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_pubmedbert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_modified_pubmedbert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_modified_pubmedbert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_modified_pubmedbert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_pubmedbert_384_en_5.2.0_3.0_1699271049403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_pubmedbert_384_en_5.2.0_3.0_1699271049403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_modified_pubmedbert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Modified-PubMedBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_scibert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_scibert_384_en.md
new file mode 100644
index 000000000000..d726bbabf8e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_scibert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_modified_scibert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_modified_scibert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_modified_scibert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_scibert_384_en_5.2.0_3.0_1699271087624.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_scibert_384_en_5.2.0_3.0_1699271087624.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_modified_scibert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Modified-SciBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_scibert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_scibert_512_en.md
new file mode 100644
index 000000000000..350a6b6c46e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_modified_scibert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_modified_scibert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_modified_scibert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_modified_scibert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_scibert_512_en_5.2.0_3.0_1699271093334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_modified_scibert_512_en_5.2.0_3.0_1699271093334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_modified_scibert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Modified-SciBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_biobert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_biobert_512_en.md
new file mode 100644
index 000000000000..14e9c3b0400f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_biobert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_original_biobert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_original_biobert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_original_biobert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_biobert_512_en_5.2.0_3.0_1699272245029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_biobert_512_en_5.2.0_3.0_1699272245029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_original_biobert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Original-BioBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_bluebert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_bluebert_384_en.md
new file mode 100644
index 000000000000..1f77b04c2a54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_bluebert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_original_bluebert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_original_bluebert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_original_bluebert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_bluebert_384_en_5.2.0_3.0_1699272422077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_bluebert_384_en_5.2.0_3.0_1699272422077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_original_bluebert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Original-BlueBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_bluebert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_bluebert_512_en.md
new file mode 100644
index 000000000000..e595068f38dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_bluebert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_original_bluebert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_original_bluebert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_original_bluebert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_bluebert_512_en_5.2.0_3.0_1699271057009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_bluebert_512_en_5.2.0_3.0_1699271057009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_original_bluebert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Original-BlueBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_pubmedbert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_pubmedbert_384_en.md
new file mode 100644
index 000000000000..2e0e828961d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_pubmedbert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_original_pubmedbert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_original_pubmedbert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_original_pubmedbert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_pubmedbert_384_en_5.2.0_3.0_1699272607827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_pubmedbert_384_en_5.2.0_3.0_1699272607827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_original_pubmedbert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Original-PubMedBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_pubmedbert_512_en.md
new file mode 100644
index 000000000000..d0110bd8e73f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_original_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_original_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_original_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_pubmedbert_512_en_5.2.0_3.0_1699271292362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_pubmedbert_512_en_5.2.0_3.0_1699271292362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_original_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Original-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_scibert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_scibert_384_en.md
new file mode 100644
index 000000000000..8e5d25c77772
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_scibert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_original_scibert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_original_scibert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_original_scibert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_scibert_384_en_5.2.0_3.0_1699271288390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_scibert_384_en_5.2.0_3.0_1699271288390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_chem_original_scibert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Chem-Original-SciBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_scibert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_scibert_512_en.md
new file mode 100644
index 000000000000..a74c50055e94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_chem_original_scibert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_chem_original_scibert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_chem_original_scibert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_chem_original_scibert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_scibert_512_en_5.2.0_3.0_1699272789113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_chem_original_scibert_512_en_5.2.0_3.0_1699272789113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_imbalancedpubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD_ImbalancedPubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_imbalancedscibert_scivocab_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_imbalancedscibert_scivocab_cased_en.md
new file mode 100644
index 000000000000..c358ca8f0ae6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_imbalancedscibert_scivocab_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_imbalancedscibert_scivocab_cased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_imbalancedscibert_scivocab_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_imbalancedscibert_scivocab_cased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_imbalancedscibert_scivocab_cased_en_5.2.0_3.0_1699271264127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_imbalancedscibert_scivocab_cased_en_5.2.0_3.0_1699271264127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_imbalancedscibert_scivocab_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD_Imbalancedscibert_scivocab_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_modified_pubmed_clinical_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_modified_pubmed_clinical_en.md
new file mode 100644
index 000000000000..108ad3017a3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_modified_pubmed_clinical_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_modified_pubmed_clinical BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_modified_pubmed_clinical
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_modified_pubmed_clinical` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_modified_pubmed_clinical_en_5.2.0_3.0_1699271493242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_modified_pubmed_clinical_en_5.2.0_3.0_1699271493242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_modified_pubmed_clinical|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Modified_pubmed_clinical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_modified_pubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_modified_pubmedbert_en.md
new file mode 100644
index 000000000000..cb02c1242476
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_modified_pubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_modified_pubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_modified_pubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_modified_pubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_modified_pubmedbert_en_5.2.0_3.0_1699271259751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_modified_pubmedbert_en_5.2.0_3.0_1699271259751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_modified_pubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Modified_PubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_modified_scibert_scivocab_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_modified_scibert_scivocab_cased_en.md
new file mode 100644
index 000000000000..659be625ef4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_modified_scibert_scivocab_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_modified_scibert_scivocab_cased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_modified_scibert_scivocab_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_modified_scibert_scivocab_cased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_modified_scibert_scivocab_cased_en_5.2.0_3.0_1699271454378.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_modified_scibert_scivocab_cased_en_5.2.0_3.0_1699271454378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_modified_scibert_scivocab_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Modified_scibert_scivocab_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_original_biobert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_original_biobert_384_en.md
new file mode 100644
index 000000000000..4d10483f7afa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc4chemd_original_biobert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc4chemd_original_biobert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc4chemd_original_biobert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc4chemd_original_biobert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_original_biobert_384_en_5.2.0_3.0_1699271675645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc4chemd_original_biobert_384_en_5.2.0_3.0_1699271675645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc4chemd_original_biobert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC4CHEMD-Original-BioBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cd_chem_modified_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cd_chem_modified_pubmedbert_512_en.md
new file mode 100644
index 000000000000..cc44b7d332f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cd_chem_modified_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cd_chem_modified_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cd_chem_modified_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cd_chem_modified_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cd_chem_modified_pubmedbert_512_en_5.2.0_3.0_1699274833523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cd_chem_modified_pubmedbert_512_en_5.2.0_3.0_1699274833523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cd_chem_modified_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CD-Chem-Modified-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem2_imbalanced_biomednlp_pubmedbert_base_uncased_abstract_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem2_imbalanced_biomednlp_pubmedbert_base_uncased_abstract_en.md
new file mode 100644
index 000000000000..e7732d81ad81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem2_imbalanced_biomednlp_pubmedbert_base_uncased_abstract_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem2_imbalanced_biomednlp_pubmedbert_base_uncased_abstract BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem2_imbalanced_biomednlp_pubmedbert_base_uncased_abstract
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem2_imbalanced_biomednlp_pubmedbert_base_uncased_abstract` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem2_imbalanced_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699271832947.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem2_imbalanced_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699271832947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem2_imbalanced_biomednlp_pubmedbert_base_uncased_abstract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem2-imbalanced-BiomedNLP-PubMedBERT-base-uncased-abstract
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem2_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem2_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md
new file mode 100644
index 000000000000..fac025e09caf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem2_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem2_modified_biomednlp_pubmedbert_base_uncased_abstract BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem2_modified_biomednlp_pubmedbert_base_uncased_abstract
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem2_modified_biomednlp_pubmedbert_base_uncased_abstract` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem2_modified_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699272464114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem2_modified_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699272464114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem2_modified_biomednlp_pubmedbert_base_uncased_abstract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem2-Modified_BiomedNLP-PubMedBERT-base-uncased-abstract
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_384_en.md
new file mode 100644
index 000000000000..49ef156db282
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_biobert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_biobert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_biobert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_biobert_384_en_5.2.0_3.0_1699272191056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_biobert_384_en_5.2.0_3.0_1699272191056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_biobert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified-BioBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_512_en.md
new file mode 100644
index 000000000000..bb35f23e8e49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_biobert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_biobert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_biobert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_biobert_512_en_5.2.0_3.0_1699272025115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_biobert_512_en_5.2.0_3.0_1699272025115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_biobert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified-BioBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_large_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_large_cased_en.md
new file mode 100644
index 000000000000..79890bf9c367
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_large_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_biobert_large_cased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_biobert_large_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_biobert_large_cased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_biobert_large_cased_en_5.2.0_3.0_1699272789103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_biobert_large_cased_en_5.2.0_3.0_1699272789103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_biobert_large_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified_biobert-large-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_v1.1_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_v1.1_latest_en.md
new file mode 100644
index 000000000000..be7d2b82e931
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_biobert_v1.1_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_biobert_v1.1_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_biobert_v1.1_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_biobert_v1.1_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_biobert_v1.1_latest_en_5.2.0_3.0_1699272658333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_biobert_v1.1_latest_en_5.2.0_3.0_1699272658333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_biobert_v1.1_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified_biobert-v1.1_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_bluebert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_bluebert_512_en.md
new file mode 100644
index 000000000000..54c47852e024
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_bluebert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_bluebert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_bluebert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_bluebert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_bluebert_512_en_5.2.0_3.0_1699272391082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_bluebert_512_en_5.2.0_3.0_1699272391082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_bluebert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified-BlueBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
new file mode 100644
index 000000000000..f6b3c4ae4f01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699272396685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699272396685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified_bluebert_pubmed_uncased_L-12_H-768_A-12_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmed_abstract_3_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmed_abstract_3_en.md
new file mode 100644
index 000000000000..38e4e41e3f51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmed_abstract_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_pubmed_abstract_3 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_pubmed_abstract_3
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_pubmed_abstract_3` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_pubmed_abstract_3_en_5.2.0_3.0_1699272849932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_pubmed_abstract_3_en_5.2.0_3.0_1699272849932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_pubmed_abstract_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified_pubmed_abstract_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmed_abstract_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmed_abstract_latest_en.md
new file mode 100644
index 000000000000..e2d6f6e877b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmed_abstract_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_pubmed_abstract_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_pubmed_abstract_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_pubmed_abstract_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_pubmed_abstract_latest_en_5.2.0_3.0_1699273249110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_pubmed_abstract_latest_en_5.2.0_3.0_1699273249110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_pubmed_abstract_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified_pubmed_abstract_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmed_full_3_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmed_full_3_en.md
new file mode 100644
index 000000000000..8683e08d68bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmed_full_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_pubmed_full_3 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_pubmed_full_3
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_pubmed_full_3` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_pubmed_full_3_en_5.2.0_3.0_1699273041573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_pubmed_full_3_en_5.2.0_3.0_1699273041573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_pubmed_full_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified_pubmed_full_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmedbert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmedbert_384_en.md
new file mode 100644
index 000000000000..d0365c661d6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_pubmedbert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_pubmedbert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_pubmedbert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_pubmedbert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_pubmedbert_384_en_5.2.0_3.0_1699272581256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_pubmedbert_384_en_5.2.0_3.0_1699272581256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_pubmedbert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified-PubMedBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_scibert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_scibert_384_en.md
new file mode 100644
index 000000000000..d1b12e45dbed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_scibert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_scibert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_scibert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_scibert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_scibert_384_en_5.2.0_3.0_1699272278010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_scibert_384_en_5.2.0_3.0_1699272278010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_scibert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified-SciBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_scibert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_scibert_512_en.md
new file mode 100644
index 000000000000..a1c56c64108b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_scibert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_scibert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_scibert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_scibert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_scibert_512_en_5.2.0_3.0_1699272218296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_scibert_512_en_5.2.0_3.0_1699272218296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_scibert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified-SciBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_scibert_scivocab_uncased_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_scibert_scivocab_uncased_latest_en.md
new file mode 100644
index 000000000000..c158cd8d722f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_modified_scibert_scivocab_uncased_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_modified_scibert_scivocab_uncased_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_modified_scibert_scivocab_uncased_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_modified_scibert_scivocab_uncased_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_scibert_scivocab_uncased_latest_en_5.2.0_3.0_1699272470586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_modified_scibert_scivocab_uncased_latest_en_5.2.0_3.0_1699272470586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_modified_scibert_scivocab_uncased_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Modified_scibert_scivocab_uncased_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_biobert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_biobert_384_en.md
new file mode 100644
index 000000000000..9fbdf5d99309
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_biobert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_original_biobert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_original_biobert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_original_biobert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_biobert_384_en_5.2.0_3.0_1699273253315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_biobert_384_en_5.2.0_3.0_1699273253315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_original_biobert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Original-BioBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_biobert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_biobert_512_en.md
new file mode 100644
index 000000000000..ad578a28bdb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_biobert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_original_biobert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_original_biobert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_original_biobert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_biobert_512_en_5.2.0_3.0_1699273465922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_biobert_512_en_5.2.0_3.0_1699273465922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_original_biobert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Original-BioBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_bluebert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_bluebert_384_en.md
new file mode 100644
index 000000000000..77d36bffda25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_bluebert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_original_bluebert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_original_bluebert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_original_bluebert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_bluebert_384_en_5.2.0_3.0_1699272576665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_bluebert_384_en_5.2.0_3.0_1699272576665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_original_bluebert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Original-BlueBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_bluebert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_bluebert_512_en.md
new file mode 100644
index 000000000000..e30e9fdf91d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_bluebert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_original_bluebert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_original_bluebert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_original_bluebert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_bluebert_512_en_5.2.0_3.0_1699272780116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_bluebert_512_en_5.2.0_3.0_1699272780116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_original_bluebert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Original-BlueBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_pubmedbert_512_en.md
new file mode 100644
index 000000000000..0f19eb34fb4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_original_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_original_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_original_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_pubmedbert_512_en_5.2.0_3.0_1699273683823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_pubmedbert_512_en_5.2.0_3.0_1699273683823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_original_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Original-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_scibert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_scibert_384_en.md
new file mode 100644
index 000000000000..68ed53764fe9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_scibert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_original_scibert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_original_scibert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_original_scibert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_scibert_384_en_5.2.0_3.0_1699273006930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_scibert_384_en_5.2.0_3.0_1699273006930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_original_scibert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Original-SciBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_scibert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_scibert_512_en.md
new file mode 100644
index 000000000000..90b8b7315390
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chem_original_scibert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chem_original_scibert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chem_original_scibert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chem_original_scibert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_scibert_512_en_5.2.0_3.0_1699272658520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chem_original_scibert_512_en_5.2.0_3.0_1699272658520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chem_original_scibert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chem-Original-SciBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_biobert_base_cased_v1.2_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_biobert_base_cased_v1.2_en.md
new file mode 100644
index 000000000000..37fd79b6df73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_biobert_base_cased_v1.2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_disease_balanced_biobert_base_cased_v1.2 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_disease_balanced_biobert_base_cased_v1.2
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_disease_balanced_biobert_base_cased_v1.2` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_disease_balanced_biobert_base_cased_v1.2_en_5.2.0_3.0_1699272850975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_disease_balanced_biobert_base_cased_v1.2_en_5.2.0_3.0_1699272850975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_disease_balanced_biobert_base_cased_v1.2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical-Disease-balanced-biobert-base-cased-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_biomednlp_pubmedbert_base_uncased_abstract_fulltext_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_biomednlp_pubmedbert_base_uncased_abstract_fulltext_en.md
new file mode 100644
index 000000000000..f8c81357a852
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_biomednlp_pubmedbert_base_uncased_abstract_fulltext_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_disease_balanced_biomednlp_pubmedbert_base_uncased_abstract_fulltext BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_disease_balanced_biomednlp_pubmedbert_base_uncased_abstract_fulltext
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_disease_balanced_biomednlp_pubmedbert_base_uncased_abstract_fulltext` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_disease_balanced_biomednlp_pubmedbert_base_uncased_abstract_fulltext_en_5.2.0_3.0_1699273006951.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_disease_balanced_biomednlp_pubmedbert_base_uncased_abstract_fulltext_en_5.2.0_3.0_1699273006951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_disease_balanced_biomednlp_pubmedbert_base_uncased_abstract_fulltext|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical-Disease-balanced-BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_pubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_pubmedbert_en.md
new file mode 100644
index 000000000000..61a806ce50a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_pubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_disease_balanced_pubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_disease_balanced_pubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_disease_balanced_pubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_disease_balanced_pubmedbert_en_5.2.0_3.0_1699273249356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_disease_balanced_pubmedbert_en_5.2.0_3.0_1699273249356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_disease_balanced_pubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical-Disease-balanced-pubmedbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_sapbert_from_pubmedbert_fulltext_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_sapbert_from_pubmedbert_fulltext_en.md
new file mode 100644
index 000000000000..bbdd85aac129
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_sapbert_from_pubmedbert_fulltext_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_disease_balanced_sapbert_from_pubmedbert_fulltext BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_disease_balanced_sapbert_from_pubmedbert_fulltext
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_disease_balanced_sapbert_from_pubmedbert_fulltext` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_disease_balanced_sapbert_from_pubmedbert_fulltext_en_5.2.0_3.0_1699273884858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_disease_balanced_sapbert_from_pubmedbert_fulltext_en_5.2.0_3.0_1699273884858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_disease_balanced_sapbert_from_pubmedbert_fulltext|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical-Disease-balanced-SapBERT-from-PubMedBERT-fulltext
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_scibert_scivocab_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_scibert_scivocab_cased_en.md
new file mode 100644
index 000000000000..a004f9ed8cee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_disease_balanced_scibert_scivocab_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_disease_balanced_scibert_scivocab_cased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_disease_balanced_scibert_scivocab_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_disease_balanced_scibert_scivocab_cased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_disease_balanced_scibert_scivocab_cased_en_5.2.0_3.0_1699274075895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_disease_balanced_scibert_scivocab_cased_en_5.2.0_3.0_1699274075895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_disease_balanced_scibert_scivocab_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical-Disease-balanced-scibert_scivocab_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_biobert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_biobert_en.md
new file mode 100644
index 000000000000..af14af849f36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_biobert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_imbalanced_biobert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_imbalanced_biobert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_imbalanced_biobert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_biobert_en_5.2.0_3.0_1699273436029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_biobert_en_5.2.0_3.0_1699273436029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_imbalanced_biobert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical-imbalanced-biobert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_biobert_v1.1_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_biobert_v1.1_latest_en.md
new file mode 100644
index 000000000000..457e69aac0f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_biobert_v1.1_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_imbalanced_biobert_v1.1_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_imbalanced_biobert_v1.1_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_imbalanced_biobert_v1.1_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_biobert_v1.1_latest_en_5.2.0_3.0_1699273444414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_biobert_v1.1_latest_en_5.2.0_3.0_1699273444414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_imbalanced_biobert_v1.1_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical-imbalanced-biobert-v1.1_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
new file mode 100644
index 000000000000..e519490f8619
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699274253537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699274253537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical-imbalanced-bluebert_pubmed_uncased_L-12_H-768_A-12_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_base_uncased_abstract_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_base_uncased_abstract_latest_en.md
new file mode 100644
index 000000000000..032df80232af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_base_uncased_abstract_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_base_uncased_abstract_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_base_uncased_abstract_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_base_uncased_abstract_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_base_uncased_abstract_latest_en_5.2.0_3.0_1699273235277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_base_uncased_abstract_latest_en_5.2.0_3.0_1699273235277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_base_uncased_abstract_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical-imbalanced-PubMedBERT-base-uncased-abstract_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_en.md
new file mode 100644
index 000000000000..2a075cd0b823
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_imbalanced_pubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_imbalanced_pubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_imbalanced_pubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_en_5.2.0_3.0_1699273674731.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_pubmedbert_en_5.2.0_3.0_1699273674731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_imbalanced_pubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical-imbalanced-pubmedbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_cased_en.md
new file mode 100644
index 000000000000..d1b086f78e5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_cased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_cased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_cased_en_5.2.0_3.0_1699273050637.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_cased_en_5.2.0_3.0_1699273050637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical_Imbalanced-scibert_scivocab_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_uncased_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_uncased_latest_en.md
new file mode 100644
index 000000000000..bf8d8cdc743f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_uncased_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_uncased_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_uncased_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_uncased_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_uncased_latest_en_5.2.0_3.0_1699273476501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_uncased_latest_en_5.2.0_3.0_1699273476501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_imbalanced_scibert_scivocab_uncased_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical-imbalanced-scibert_scivocab_uncased_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_modified_pubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_modified_pubmedbert_en.md
new file mode 100644
index 000000000000..555d1fd77211
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_modified_pubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_modified_pubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_modified_pubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_modified_pubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_modified_pubmedbert_en_5.2.0_3.0_1699273471127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_modified_pubmedbert_en_5.2.0_3.0_1699273471127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_modified_pubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical_Modified_PubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_modified_scibert_scivocab_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_modified_scibert_scivocab_cased_en.md
new file mode 100644
index 000000000000..73b90b253997
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_chemical_modified_scibert_scivocab_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_chemical_modified_scibert_scivocab_cased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_chemical_modified_scibert_scivocab_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_chemical_modified_scibert_scivocab_cased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_modified_scibert_scivocab_cased_en_5.2.0_3.0_1699273240022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_chemical_modified_scibert_scivocab_cased_en_5.2.0_3.0_1699273240022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_chemical_modified_scibert_scivocab_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Chemical_Modified_scibert_scivocab_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_balancedpubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_balancedpubmedbert_en.md
new file mode 100644
index 000000000000..7b54f8be6da6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_balancedpubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_disease_balancedpubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_disease_balancedpubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_disease_balancedpubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_balancedpubmedbert_en_5.2.0_3.0_1699273879347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_balancedpubmedbert_en_5.2.0_3.0_1699273879347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_disease_balancedpubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Disease-balancedPubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_biobert_v1.1_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_biobert_v1.1_en.md
new file mode 100644
index 000000000000..fb443d5feaf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_biobert_v1.1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_disease_imbalanced_biobert_v1.1 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_disease_imbalanced_biobert_v1.1
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_disease_imbalanced_biobert_v1.1` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_imbalanced_biobert_v1.1_en_5.2.0_3.0_1699274225547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_imbalanced_biobert_v1.1_en_5.2.0_3.0_1699274225547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_disease_imbalanced_biobert_v1.1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Disease-imbalanced-biobert-v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_biomednlp_pubmedbert_base_uncased_abstract_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_biomednlp_pubmedbert_base_uncased_abstract_en.md
new file mode 100644
index 000000000000..5b007709af65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_biomednlp_pubmedbert_base_uncased_abstract_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_disease_imbalanced_biomednlp_pubmedbert_base_uncased_abstract BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_disease_imbalanced_biomednlp_pubmedbert_base_uncased_abstract
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_disease_imbalanced_biomednlp_pubmedbert_base_uncased_abstract` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_imbalanced_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699274050674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_imbalanced_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699274050674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_disease_imbalanced_biomednlp_pubmedbert_base_uncased_abstract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Disease-imbalanced-BiomedNLP-PubMedBERT-base-uncased-abstract
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
new file mode 100644
index 000000000000..6934702c59b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_disease_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_disease_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_disease_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699274654243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699274654243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_disease_imbalanced_bluebert_pubmed_uncased_l_12_h_768_a_12_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Disease-imbalanced-bluebert_pubmed_uncased_L-12_H-768_A-12_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_scibert_scivocab_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_scibert_scivocab_uncased_en.md
new file mode 100644
index 000000000000..18745fb94301
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_imbalanced_scibert_scivocab_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_disease_imbalanced_scibert_scivocab_uncased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_disease_imbalanced_scibert_scivocab_uncased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_disease_imbalanced_scibert_scivocab_uncased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_imbalanced_scibert_scivocab_uncased_en_5.2.0_3.0_1699274239287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_imbalanced_scibert_scivocab_uncased_en_5.2.0_3.0_1699274239287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_disease_imbalanced_scibert_scivocab_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Disease-imbalanced-scibert_scivocab_uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_biobert_v1.1_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_biobert_v1.1_en.md
new file mode 100644
index 000000000000..f39369b4b9f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_biobert_v1.1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_disease_modified_biobert_v1.1 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_disease_modified_biobert_v1.1
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_disease_modified_biobert_v1.1` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_biobert_v1.1_en_5.2.0_3.0_1699274446300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_biobert_v1.1_en_5.2.0_3.0_1699274446300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_disease_modified_biobert_v1.1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Disease-Modified_biobert-v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md
new file mode 100644
index 000000000000..b7fe20f12f1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_disease_modified_biomednlp_pubmedbert_base_uncased_abstract BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_disease_modified_biomednlp_pubmedbert_base_uncased_abstract
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_disease_modified_biomednlp_pubmedbert_base_uncased_abstract` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699273649579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699273649579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_disease_modified_biomednlp_pubmedbert_base_uncased_abstract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Disease-Modified_BiomedNLP-PubMedBERT-base-uncased-abstract
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
new file mode 100644
index 000000000000..74b447374d10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_disease_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_disease_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_disease_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699273828582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699273828582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_disease_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Disease-Modified_bluebert_pubmed_uncased_L-12_H-768_A-12_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_pubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_pubmedbert_en.md
new file mode 100644
index 000000000000..5db1c18cf2b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_pubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_disease_modified_pubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_disease_modified_pubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_disease_modified_pubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_pubmedbert_en_5.2.0_3.0_1699273683103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_pubmedbert_en_5.2.0_3.0_1699273683103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_disease_modified_pubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Disease_Modified_PubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_scibert_scivocab_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_scibert_scivocab_cased_en.md
new file mode 100644
index 000000000000..370e74c91fab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_scibert_scivocab_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_disease_modified_scibert_scivocab_cased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_disease_modified_scibert_scivocab_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_disease_modified_scibert_scivocab_cased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_scibert_scivocab_cased_en_5.2.0_3.0_1699274040713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_scibert_scivocab_cased_en_5.2.0_3.0_1699274040713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_disease_modified_scibert_scivocab_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Disease_Modified_scibert_scivocab_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_scibert_scivocab_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_scibert_scivocab_uncased_en.md
new file mode 100644
index 000000000000..1b746f12a02e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_disease_modified_scibert_scivocab_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_disease_modified_scibert_scivocab_uncased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_disease_modified_scibert_scivocab_uncased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_disease_modified_scibert_scivocab_uncased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_scibert_scivocab_uncased_en_5.2.0_3.0_1699273644723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_disease_modified_scibert_scivocab_uncased_en_5.2.0_3.0_1699273644723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_disease_modified_scibert_scivocab_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Disease-Modified_scibert_scivocab_uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_biobert_base_cased_v1.2_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_biobert_base_cased_v1.2_en.md
new file mode 100644
index 000000000000..7e71625b1e15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_biobert_base_cased_v1.2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_imbalanced_biobert_base_cased_v1.2 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_imbalanced_biobert_base_cased_v1.2
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_imbalanced_biobert_base_cased_v1.2` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_imbalanced_biobert_base_cased_v1.2_en_5.2.0_3.0_1699273859980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_imbalanced_biobert_base_cased_v1.2_en_5.2.0_3.0_1699273859980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_imbalanced_biobert_base_cased_v1.2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Imbalanced-biobert-base-cased-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_pubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_pubmedbert_en.md
new file mode 100644
index 000000000000..4e825bfe2736
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_pubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_imbalanced_pubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_imbalanced_pubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_imbalanced_pubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_imbalanced_pubmedbert_en_5.2.0_3.0_1699274428579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_imbalanced_pubmedbert_en_5.2.0_3.0_1699274428579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_imbalanced_pubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Imbalanced-PubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_sapbert_from_pubmedbert_fulltext_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_sapbert_from_pubmedbert_fulltext_en.md
new file mode 100644
index 000000000000..e7b0a34e369b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_sapbert_from_pubmedbert_fulltext_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_imbalanced_sapbert_from_pubmedbert_fulltext BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_imbalanced_sapbert_from_pubmedbert_fulltext
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_imbalanced_sapbert_from_pubmedbert_fulltext` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_imbalanced_sapbert_from_pubmedbert_fulltext_en_5.2.0_3.0_1699273829751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_imbalanced_sapbert_from_pubmedbert_fulltext_en_5.2.0_3.0_1699273829751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_imbalanced_sapbert_from_pubmedbert_fulltext|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Imbalanced-SapBERT-from-PubMedBERT-fulltext
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_scibert_scivocab_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_scibert_scivocab_cased_en.md
new file mode 100644
index 000000000000..ca9ea8adbb85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bc5cdr_imbalanced_scibert_scivocab_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bc5cdr_imbalanced_scibert_scivocab_cased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bc5cdr_imbalanced_scibert_scivocab_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bc5cdr_imbalanced_scibert_scivocab_cased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_imbalanced_scibert_scivocab_cased_en_5.2.0_3.0_1699274659277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bc5cdr_imbalanced_scibert_scivocab_cased_en_5.2.0_3.0_1699274659277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bc5cdr_imbalanced_scibert_scivocab_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BC5CDR-Imbalanced-scibert_scivocab_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bchem4_modified_biobert_v1_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bchem4_modified_biobert_v1_en.md
new file mode 100644
index 000000000000..3d34fdf2280a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bchem4_modified_biobert_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bchem4_modified_biobert_v1 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bchem4_modified_biobert_v1
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bchem4_modified_biobert_v1` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bchem4_modified_biobert_v1_en_5.2.0_3.0_1699274045512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bchem4_modified_biobert_v1_en_5.2.0_3.0_1699274045512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bert_base_hungarian_cased_ner_fdominik98|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|hu|
+|Size:|412.5 MB|
+
+## References
+
+https://huggingface.co/fdominik98/bert-base-hu-cased-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_indonesian_ner_id.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_indonesian_ner_id.md
new file mode 100644
index 000000000000..3ff21bc6d664
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_indonesian_ner_id.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Indonesian bert_ner_bert_base_indonesian_ner BertForTokenClassification from cahya
+author: John Snow Labs
+name: bert_ner_bert_base_indonesian_ner
+date: 2023-11-06
+tags: [bert, id, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: id
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bert_base_indonesian_ner` is a Indonesian model originally trained by cahya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bert_base_indonesian_ner_id_5.2.0_3.0_1699286388251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bert_base_indonesian_ner_id_5.2.0_3.0_1699286388251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bert_base_multilingual_cased_semitic_languages_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.2 MB|
+
+## References
+
+https://huggingface.co/QCRI/bert-base-multilingual-cased-sem-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_ner_en.md
new file mode 100644
index 000000000000..d3bc1a0aef52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bert_base_ner BertForTokenClassification from dslim
+author: John Snow Labs
+name: bert_ner_bert_base_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bert_base_ner` is a English model originally trained by dslim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bert_base_ner_en_5.2.0_3.0_1699283745489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bert_base_ner_en_5.2.0_3.0_1699283745489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bert_base_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/dslim/bert-base-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_ner_finetuned_ner_isu_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_ner_finetuned_ner_isu_en.md
new file mode 100644
index 000000000000..07308f94eb5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_ner_finetuned_ner_isu_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bert_base_ner_finetuned_ner_isu BertForTokenClassification from mcdzwil
+author: John Snow Labs
+name: bert_ner_bert_base_ner_finetuned_ner_isu
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bert_base_ner_finetuned_ner_isu` is a English model originally trained by mcdzwil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bert_base_ner_finetuned_ner_isu_en_5.2.0_3.0_1699283923478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bert_base_ner_finetuned_ner_isu_en_5.2.0_3.0_1699283923478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bert_base_ner_finetuned_ner_isu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mcdzwil/bert-base-NER-finetuned-ner-ISU
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_ner_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_ner_uncased_en.md
new file mode 100644
index 000000000000..d584730dcf42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_ner_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bert_base_ner_uncased BertForTokenClassification from dslim
+author: John Snow Labs
+name: bert_ner_bert_base_ner_uncased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bert_base_ner_uncased` is a English model originally trained by dslim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bert_base_ner_uncased_en_5.2.0_3.0_1699286352688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bert_base_ner_uncased_en_5.2.0_3.0_1699286352688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bert_base_uncased_kinyarwanda|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/arnolfokam/bert-base-uncased-kin
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_uncased_nigerian_pidgin_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_uncased_nigerian_pidgin_en.md
new file mode 100644
index 000000000000..35ac0dd981f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_base_uncased_nigerian_pidgin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bert_base_uncased_nigerian_pidgin BertForTokenClassification from arnolfokam
+author: John Snow Labs
+name: bert_ner_bert_base_uncased_nigerian_pidgin
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bert_base_uncased_nigerian_pidgin` is a English model originally trained by arnolfokam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bert_base_uncased_nigerian_pidgin_en_5.2.0_3.0_1699288440527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bert_base_uncased_nigerian_pidgin_en_5.2.0_3.0_1699288440527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bert_mention_french_vera_pro|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|fr|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/vera-pro/bert-mention-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_mention_german_vera_pro_de.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_mention_german_vera_pro_de.md
new file mode 100644
index 000000000000..b613a87d7349
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_mention_german_vera_pro_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German bert_ner_bert_mention_german_vera_pro BertForTokenClassification from vera-pro
+author: John Snow Labs
+name: bert_ner_bert_mention_german_vera_pro
+date: 2023-11-06
+tags: [bert, de, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bert_mention_german_vera_pro` is a German model originally trained by vera-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bert_mention_german_vera_pro_de_5.2.0_3.0_1699288386584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bert_mention_german_vera_pro_de_5.2.0_3.0_1699288386584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bert_mention_german_vera_pro|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/vera-pro/bert-mention-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_mt4ts_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_mt4ts_en.md
new file mode 100644
index 000000000000..1527b623f0ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_mt4ts_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bert_mt4ts BertForTokenClassification from kevinjesse
+author: John Snow Labs
+name: bert_ner_bert_mt4ts
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bert_mt4ts` is a English model originally trained by kevinjesse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bert_mt4ts_en_5.2.0_3.0_1699286187357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bert_mt4ts_en_5.2.0_3.0_1699286187357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bert_persian_farsi_base_uncased_ner_arman|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|fa|
+|Size:|606.5 MB|
+
+## References
+
+https://huggingface.co/HooshvareLab/bert-fa-base-uncased-ner-arman
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_persian_farsi_base_uncased_ner_peyma_fa.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_persian_farsi_base_uncased_ner_peyma_fa.md
new file mode 100644
index 000000000000..afd53a37430d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_persian_farsi_base_uncased_ner_peyma_fa.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Persian bert_ner_bert_persian_farsi_base_uncased_ner_peyma BertForTokenClassification from HooshvareLab
+author: John Snow Labs
+name: bert_ner_bert_persian_farsi_base_uncased_ner_peyma
+date: 2023-11-06
+tags: [bert, fa, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bert_persian_farsi_base_uncased_ner_peyma` is a Persian model originally trained by HooshvareLab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bert_persian_farsi_base_uncased_ner_peyma_fa_5.2.0_3.0_1699288961564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bert_persian_farsi_base_uncased_ner_peyma_fa_5.2.0_3.0_1699288961564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bert_persian_farsi_base_uncased_ner_peyma|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|fa|
+|Size:|606.6 MB|
+
+## References
+
+https://huggingface.co/HooshvareLab/bert-fa-base-uncased-ner-peyma
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_persian_farsi_zwnj_base_ner_fa.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_persian_farsi_zwnj_base_ner_fa.md
new file mode 100644
index 000000000000..e657c585faf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bert_persian_farsi_zwnj_base_ner_fa.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Persian bert_ner_bert_persian_farsi_zwnj_base_ner BertForTokenClassification from HooshvareLab
+author: John Snow Labs
+name: bert_ner_bert_persian_farsi_zwnj_base_ner
+date: 2023-11-06
+tags: [bert, fa, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bert_persian_farsi_zwnj_base_ner` is a Persian model originally trained by HooshvareLab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bert_persian_farsi_zwnj_base_ner_fa_5.2.0_3.0_1699285522969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bert_persian_farsi_zwnj_base_ner_fa_5.2.0_3.0_1699285522969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biobert_ner_bc2gm_corpus|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/drAbreu/bioBERT-NER-BC2GM_corpus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biobert_ner_ncbi_disease_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biobert_ner_ncbi_disease_en.md
new file mode 100644
index 000000000000..8e49147f63fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biobert_ner_ncbi_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biobert_ner_ncbi_disease BertForTokenClassification from drAbreu
+author: John Snow Labs
+name: bert_ner_biobert_ner_ncbi_disease
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biobert_ner_ncbi_disease` is a English model originally trained by drAbreu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biobert_ner_ncbi_disease_en_5.2.0_3.0_1699291144471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biobert_ner_ncbi_disease_en_5.2.0_3.0_1699291144471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13_modified_biobert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13-Modified-BioBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_bluebert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_bluebert_512_en.md
new file mode 100644
index 000000000000..4ee3fd4f518e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_bluebert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13_modified_bluebert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13_modified_bluebert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13_modified_bluebert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13_modified_bluebert_512_en_5.2.0_3.0_1699276004787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13_modified_bluebert_512_en_5.2.0_3.0_1699276004787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13_modified_bluebert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13-Modified-BlueBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_pubmedbert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_pubmedbert_384_en.md
new file mode 100644
index 000000000000..02d7391407da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_pubmedbert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13_modified_pubmedbert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13_modified_pubmedbert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13_modified_pubmedbert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13_modified_pubmedbert_384_en_5.2.0_3.0_1699275324723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13_modified_pubmedbert_384_en_5.2.0_3.0_1699275324723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13_modified_pubmedbert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13-Modified-PubMedBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_scibert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_scibert_384_en.md
new file mode 100644
index 000000000000..f5e452733cc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_scibert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13_modified_scibert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13_modified_scibert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13_modified_scibert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13_modified_scibert_384_en_5.2.0_3.0_1699276265112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13_modified_scibert_384_en_5.2.0_3.0_1699276265112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13_modified_scibert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13-Modified-SciBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_scibert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_scibert_512_en.md
new file mode 100644
index 000000000000..84721ba646c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13_modified_scibert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13_modified_scibert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13_modified_scibert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13_modified_scibert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13_modified_scibert_512_en_5.2.0_3.0_1699276463597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13_modified_scibert_512_en_5.2.0_3.0_1699276463597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13_modified_scibert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13-Modified-SciBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_biobert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_biobert_512_en.md
new file mode 100644
index 000000000000..a3d34898cffa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_biobert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_chem_original_biobert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_chem_original_biobert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_chem_original_biobert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_chem_original_biobert_512_en_5.2.0_3.0_1699274844380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_chem_original_biobert_512_en_5.2.0_3.0_1699274844380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_chem_original_biobert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BIONLP13CG-CHEM-Chem-Original-BioBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_bluebert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_bluebert_384_en.md
new file mode 100644
index 000000000000..0d170c64dc2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_bluebert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_chem_original_bluebert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_chem_original_bluebert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_chem_original_bluebert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_chem_original_bluebert_384_en_5.2.0_3.0_1699275032863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_chem_original_bluebert_384_en_5.2.0_3.0_1699275032863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_chem_original_bluebert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BIONLP13CG-CHEM-Chem-Original-BlueBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_bluebert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_bluebert_512_en.md
new file mode 100644
index 000000000000..4853f5d40084
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_bluebert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_chem_original_bluebert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_chem_original_bluebert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_chem_original_bluebert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_chem_original_bluebert_512_en_5.2.0_3.0_1699275031577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_chem_original_bluebert_512_en_5.2.0_3.0_1699275031577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_chem_original_bluebert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BIONLP13CG-CHEM-Chem-Original-BlueBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_scibert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_scibert_384_en.md
new file mode 100644
index 000000000000..39eb23b14cb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_scibert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_chem_original_scibert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_chem_original_scibert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_chem_original_scibert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_chem_original_scibert_384_en_5.2.0_3.0_1699274232298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_chem_original_scibert_384_en_5.2.0_3.0_1699274232298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_chem_original_scibert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BIONLP13CG-CHEM-Chem-Original-SciBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_scibert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_scibert_512_en.md
new file mode 100644
index 000000000000..3e5c40433417
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_chem_original_scibert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_chem_original_scibert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_chem_original_scibert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_chem_original_scibert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_chem_original_scibert_512_en_5.2.0_3.0_1699274439743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_chem_original_scibert_512_en_5.2.0_3.0_1699274439743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_chem_original_scibert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BIONLP13CG-CHEM-Chem-Original-SciBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_imbalanced_biobert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_imbalanced_biobert_en.md
new file mode 100644
index 000000000000..3c0e149bb95d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_imbalanced_biobert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_imbalanced_biobert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_imbalanced_biobert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_imbalanced_biobert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_imbalanced_biobert_en_5.2.0_3.0_1699274649073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_imbalanced_biobert_en_5.2.0_3.0_1699274649073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_imbalanced_biobert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem_Imbalanced-biobert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_imbalanced_scibert_scivocab_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_imbalanced_scibert_scivocab_cased_en.md
new file mode 100644
index 000000000000..266b4329bad8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_imbalanced_scibert_scivocab_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_imbalanced_scibert_scivocab_cased BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_imbalanced_scibert_scivocab_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_imbalanced_scibert_scivocab_cased` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_imbalanced_scibert_scivocab_cased_en_5.2.0_3.0_1699274783237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_imbalanced_scibert_scivocab_cased_en_5.2.0_3.0_1699274783237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_imbalanced_scibert_scivocab_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem_Imbalanced-scibert_scivocab_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_imbalancedpubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_imbalancedpubmedbert_en.md
new file mode 100644
index 000000000000..82fab6c08e15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_imbalancedpubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_imbalancedpubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_imbalancedpubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_imbalancedpubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_imbalancedpubmedbert_en_5.2.0_3.0_1699274624854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_imbalancedpubmedbert_en_5.2.0_3.0_1699274624854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_imbalancedpubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem_ImbalancedPubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_biobert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_biobert_384_en.md
new file mode 100644
index 000000000000..dbd6a32f88d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_biobert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_modified_biobert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_modified_biobert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_modified_biobert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_biobert_384_en_5.2.0_3.0_1699275213898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_biobert_384_en_5.2.0_3.0_1699275213898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_modified_biobert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified-BioBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_biobert_large_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_biobert_large_en.md
new file mode 100644
index 000000000000..1e30d144c31d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_biobert_large_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_modified_biobert_large BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_modified_biobert_large
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_modified_biobert_large` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_biobert_large_en_5.2.0_3.0_1699275590721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_biobert_large_en_5.2.0_3.0_1699275590721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_modified_biobert_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified_biobert-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_bioformers_2_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_bioformers_2_en.md
new file mode 100644
index 000000000000..4b8421bc0e0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_bioformers_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_modified_bioformers_2 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_modified_bioformers_2
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_modified_bioformers_2` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_bioformers_2_en_5.2.0_3.0_1699274003972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_bioformers_2_en_5.2.0_3.0_1699274003972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_modified_bioformers_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|158.5 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified-Bioformers_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_bioformers_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_bioformers_en.md
new file mode 100644
index 000000000000..f85cb100f93c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_bioformers_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_modified_bioformers BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_modified_bioformers
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_modified_bioformers` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_bioformers_en_5.2.0_3.0_1699274794459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_bioformers_en_5.2.0_3.0_1699274794459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_modified_bioformers|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|158.5 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified-Bioformers
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedabstract_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedabstract_latest_en.md
new file mode 100644
index 000000000000..7d5a5511d739
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedabstract_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_modified_pubmedabstract_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_modified_pubmedabstract_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_modified_pubmedabstract_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedabstract_latest_en_5.2.0_3.0_1699274376316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedabstract_latest_en_5.2.0_3.0_1699274376316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_modified_pubmedabstract_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified-pubmedabstract_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_384_en.md
new file mode 100644
index 000000000000..cc321eeea4b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_modified_pubmedbert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_modified_pubmedbert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_modified_pubmedbert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedbert_384_en_5.2.0_3.0_1699275219094.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedbert_384_en_5.2.0_3.0_1699275219094.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_modified_pubmedbert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified-PubMedBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_512_en.md
new file mode 100644
index 000000000000..fd2b3fa9935c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_modified_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_modified_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_modified_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedbert_512_en_5.2.0_3.0_1699275405080.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedbert_512_en_5.2.0_3.0_1699275405080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_modified_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_abstract_3_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_abstract_3_en.md
new file mode 100644
index 000000000000..1bbd243dcf19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_abstract_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_modified_pubmedbert_abstract_3 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_modified_pubmedbert_abstract_3
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_modified_pubmedbert_abstract_3` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedbert_abstract_3_en_5.2.0_3.0_1699274957348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedbert_abstract_3_en_5.2.0_3.0_1699274957348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_modified_pubmedbert_abstract_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified-PubMedBert-abstract-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_en.md
new file mode 100644
index 000000000000..c60a2f583f26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_modified_pubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_modified_pubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_modified_pubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedbert_en_5.2.0_3.0_1699274953196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedbert_en_5.2.0_3.0_1699274953196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_modified_pubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified_PubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_full_3_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_full_3_en.md
new file mode 100644
index 000000000000..6d3f69bf357d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_pubmedbert_full_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_modified_pubmedbert_full_3 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_modified_pubmedbert_full_3
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_modified_pubmedbert_full_3` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedbert_full_3_en_5.2.0_3.0_1699274187305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_pubmedbert_full_3_en_5.2.0_3.0_1699274187305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_modified_pubmedbert_full_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified-PubMedBert-full-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_scibert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_scibert_en.md
new file mode 100644
index 000000000000..1f4a4e40c483
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_modified_scibert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_modified_scibert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_modified_scibert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_modified_scibert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_scibert_en_5.2.0_3.0_1699275139781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_modified_scibert_en_5.2.0_3.0_1699275139781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_modified_scibert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified_SciBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_original_biobert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_original_biobert_384_en.md
new file mode 100644
index 000000000000..70133ca7f5d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_original_biobert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_original_biobert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_original_biobert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_original_biobert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_original_biobert_384_en_5.2.0_3.0_1699275144020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_original_biobert_384_en_5.2.0_3.0_1699275144020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_original_biobert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Original-BioBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_original_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_original_pubmedbert_512_en.md
new file mode 100644
index 000000000000..4ab5ca7bf71e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_chem_original_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_chem_original_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_chem_original_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_chem_original_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_original_pubmedbert_512_en_5.2.0_3.0_1699275329371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_chem_original_pubmedbert_512_en_5.2.0_3.0_1699275329371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_chem_original_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Original-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_biobert_v1.1_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_biobert_v1.1_latest_en.md
new file mode 100644
index 000000000000..610608675098
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_biobert_v1.1_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_modified_biobert_v1.1_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_modified_biobert_v1.1_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_modified_biobert_v1.1_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_modified_biobert_v1.1_latest_en_5.2.0_3.0_1699274550015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_modified_biobert_v1.1_latest_en_5.2.0_3.0_1699274550015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_modified_biobert_v1.1_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Modified-biobert-v1.1_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
new file mode 100644
index 000000000000..98bb00899c5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699275791072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699275791072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_modified_bluebert_pubmed_uncased_l_12_h_768_a_12_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Modified-bluebert_pubmed_uncased_L-12_H-768_A-12_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_pubmedabstract_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_pubmedabstract_latest_en.md
new file mode 100644
index 000000000000..90fc37c08594
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_pubmedabstract_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_modified_pubmedabstract_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_modified_pubmedabstract_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_modified_pubmedabstract_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_modified_pubmedabstract_latest_en_5.2.0_3.0_1699275511797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_modified_pubmedabstract_latest_en_5.2.0_3.0_1699275511797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_modified_pubmedabstract_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Modified-pubmedabstract_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_scibert_uncased_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_scibert_uncased_latest_en.md
new file mode 100644
index 000000000000..2f1ae54999e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_modified_scibert_uncased_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_modified_scibert_uncased_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_modified_scibert_uncased_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_modified_scibert_uncased_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_modified_scibert_uncased_latest_en_5.2.0_3.0_1699275701881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_modified_scibert_uncased_latest_en_5.2.0_3.0_1699275701881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_modified_scibert_uncased_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Modified-scibert-uncased_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_original_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_original_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
new file mode 100644
index 000000000000..203efb5c6497
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_original_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_original_bluebert_pubmed_uncased_l_12_h_768_a_12_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_original_bluebert_pubmed_uncased_l_12_h_768_a_12_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_original_bluebert_pubmed_uncased_l_12_h_768_a_12_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_original_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699275408948.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_original_bluebert_pubmed_uncased_l_12_h_768_a_12_latest_en_5.2.0_3.0_1699275408948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_original_bluebert_pubmed_uncased_l_12_h_768_a_12_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Original-bluebert_pubmed_uncased_L-12_H-768_A-12_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_original_pubmedbert_abstract_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_original_pubmedbert_abstract_latest_en.md
new file mode 100644
index 000000000000..978055d5b1d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_original_pubmedbert_abstract_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_original_pubmedbert_abstract_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_original_pubmedbert_abstract_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_original_pubmedbert_abstract_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_original_pubmedbert_abstract_latest_en_5.2.0_3.0_1699275892957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_original_pubmedbert_abstract_latest_en_5.2.0_3.0_1699275892957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_original_pubmedbert_abstract_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Original-PubmedBert-abstract-latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_original_scibert_latest_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_original_scibert_latest_en.md
new file mode 100644
index 000000000000..5de8bc4af881
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_bionlp13cg_original_scibert_latest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_bionlp13cg_original_scibert_latest BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_bionlp13cg_original_scibert_latest
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_bionlp13cg_original_scibert_latest` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_original_scibert_latest_en_5.2.0_3.0_1699276075015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_bionlp13cg_original_scibert_latest_en_5.2.0_3.0_1699276075015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_bionlp13cg_original_scibert_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioNLP13CG-Original-scibert_latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_cd_modified_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_cd_modified_pubmedbert_512_en.md
new file mode 100644
index 000000000000..8e0803db3c16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_cd_modified_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_cd_modified_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_cd_modified_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_cd_modified_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_cd_modified_pubmedbert_512_en_5.2.0_3.0_1699276662292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_cd_modified_pubmedbert_512_en_5.2.0_3.0_1699276662292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_cd_modified_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-CD-Modified-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_cd_original_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_cd_original_pubmedbert_512_en.md
new file mode 100644
index 000000000000..420612084afb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_cd_original_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_cd_original_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_cd_original_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_cd_original_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_cd_original_pubmedbert_512_en_5.2.0_3.0_1699276214446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_cd_original_pubmedbert_512_en_5.2.0_3.0_1699276214446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_cd_original_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-CD-Original-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_10_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_10_en.md
new file mode 100644
index 000000000000..0607844d31b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_128_10 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_128_10
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_128_10` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_128_10_en_5.2.0_3.0_1699275506907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_128_10_en_5.2.0_3.0_1699275506907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_128_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-128-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_20_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_20_en.md
new file mode 100644
index 000000000000..e7f0e7f75360
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_128_20 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_128_20
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_128_20` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_128_20_en_5.2.0_3.0_1699275592998.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_128_20_en_5.2.0_3.0_1699275592998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_128_20|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-128-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_32_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_32_en.md
new file mode 100644
index 000000000000..5b7bb2fb58b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_32_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_128_32 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_128_32
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_128_32` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_128_32_en_5.2.0_3.0_1699276875786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_128_32_en_5.2.0_3.0_1699276875786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_128_32|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-128-32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_5_en.md
new file mode 100644
index 000000000000..1bfc05db693b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_128_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_128_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_128_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_128_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_128_5_en_5.2.0_3.0_1699274929567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_128_5_en_5.2.0_3.0_1699274929567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_128_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-128-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_256_13_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_256_13_en.md
new file mode 100644
index 000000000000..9435b9eb2684
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_256_13_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_256_13 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_256_13
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_256_13` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_256_13_en_5.2.0_3.0_1699275703659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_256_13_en_5.2.0_3.0_1699275703659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_256_13|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-256-13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_256_40_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_256_40_en.md
new file mode 100644
index 000000000000..1b37fe999f79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_256_40_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_256_40 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_256_40
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_256_40` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_256_40_en_5.2.0_3.0_1699277094888.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_256_40_en_5.2.0_3.0_1699277094888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_256_40|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-256-40
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_256_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_256_5_en.md
new file mode 100644
index 000000000000..e46274380884
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_256_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_256_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_256_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_256_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_256_5_en_5.2.0_3.0_1699276425934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_256_5_en_5.2.0_3.0_1699276425934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_256_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-256-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_320_8_10_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_320_8_10_en.md
new file mode 100644
index 000000000000..15a4ac4aefc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_320_8_10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_320_8_10 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_320_8_10
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_320_8_10` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_320_8_10_en_5.2.0_3.0_1699277294407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_320_8_10_en_5.2.0_3.0_1699277294407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_320_8_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-320-8-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_320_8_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_320_8_en.md
new file mode 100644
index 000000000000..2c7c16c44287
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_320_8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_320_8 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_320_8
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_320_8` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_320_8_en_5.2.0_3.0_1699276633251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_320_8_en_5.2.0_3.0_1699276633251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_320_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-320-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_384_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_384_5_en.md
new file mode 100644
index 000000000000..a80ca0dd76eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_384_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_384_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_384_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_384_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_384_5_en_5.2.0_3.0_1699275791323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_384_5_en_5.2.0_3.0_1699275791323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_384_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-384-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_384_8_10_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_384_8_10_en.md
new file mode 100644
index 000000000000..fbde2f1d8e79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_384_8_10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_384_8_10 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_384_8_10
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_384_8_10` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_384_8_10_en_5.2.0_3.0_1699276859764.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_384_8_10_en_5.2.0_3.0_1699276859764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_384_8_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-384-8-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_384_8_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_384_8_en.md
new file mode 100644
index 000000000000..1300e988cf6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_384_8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_384_8 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_384_8
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_384_8` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_384_8_en_5.2.0_3.0_1699275893103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_384_8_en_5.2.0_3.0_1699275893103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_384_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-384-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_512_5_30_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_512_5_30_en.md
new file mode 100644
index 000000000000..bc0622011f6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_512_5_30_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_512_5_30 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_512_5_30
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_512_5_30` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_512_5_30_en_5.2.0_3.0_1699277468873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_512_5_30_en_5.2.0_3.0_1699277468873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_512_5_30|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-512-5-30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_512_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_512_5_en.md
new file mode 100644
index 000000000000..10afe078590c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_512_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_512_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_512_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_512_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_512_5_en_5.2.0_3.0_1699276225421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_512_5_en_5.2.0_3.0_1699276225421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_512_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-512-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_512_en.md
new file mode 100644
index 000000000000..4eaa73b6403b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_modified_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_modified_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_modified_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_modified_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_512_en_5.2.0_3.0_1699276014517.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_modified_pubmedbert_512_en_5.2.0_3.0_1699276014517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_modified_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_10_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_10_en.md
new file mode 100644
index 000000000000..ed2990a40297
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_128_10 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_128_10
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_128_10` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_128_10_en_5.2.0_3.0_1699277118803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_128_10_en_5.2.0_3.0_1699277118803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_128_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-128-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_20_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_20_en.md
new file mode 100644
index 000000000000..8a8a4b47b4b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_128_20 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_128_20
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_128_20` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_128_20_en_5.2.0_3.0_1699276077937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_128_20_en_5.2.0_3.0_1699276077937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_128_20|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-128-20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_32_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_32_en.md
new file mode 100644
index 000000000000..228c2378d5f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_32_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_128_32 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_128_32
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_128_32` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_128_32_en_5.2.0_3.0_1699277653046.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_128_32_en_5.2.0_3.0_1699277653046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_128_32|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-128-32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_5_en.md
new file mode 100644
index 000000000000..3ca36210d295
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_128_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_128_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_128_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_128_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_128_5_en_5.2.0_3.0_1699277323078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_128_5_en_5.2.0_3.0_1699277323078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_128_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-128-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_256_13_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_256_13_en.md
new file mode 100644
index 000000000000..67ffb6245311
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_256_13_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_256_13 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_256_13
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_256_13` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_256_13_en_5.2.0_3.0_1699275107330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_256_13_en_5.2.0_3.0_1699275107330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_256_13|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-256-13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_256_40_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_256_40_en.md
new file mode 100644
index 000000000000..bcfe21773aba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_256_40_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_256_40 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_256_40
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_256_40` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_256_40_en_5.2.0_3.0_1699276278419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_256_40_en_5.2.0_3.0_1699276278419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_256_40|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-256-40
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_256_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_256_5_en.md
new file mode 100644
index 000000000000..62a697b9334a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_256_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_256_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_256_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_256_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_256_5_en_5.2.0_3.0_1699277529723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_256_5_en_5.2.0_3.0_1699277529723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_256_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-256-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_320_8_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_320_8_en.md
new file mode 100644
index 000000000000..604210639e58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_320_8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_320_8 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_320_8
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_320_8` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_320_8_en_5.2.0_3.0_1699277844292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_320_8_en_5.2.0_3.0_1699277844292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_320_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-320-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_384_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_384_5_en.md
new file mode 100644
index 000000000000..14ac4d1296eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_384_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_384_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_384_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_384_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_384_5_en_5.2.0_3.0_1699278035812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_384_5_en_5.2.0_3.0_1699278035812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_384_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-384-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_384_8_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_384_8_en.md
new file mode 100644
index 000000000000..f6768f522af6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_384_8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_384_8 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_384_8
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_384_8` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_384_8_en_5.2.0_3.0_1699275286558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_384_8_en_5.2.0_3.0_1699275286558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_384_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-384-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_512_5_30_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_512_5_30_en.md
new file mode 100644
index 000000000000..66e7116f1cd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_512_5_30_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_512_5_30 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_512_5_30
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_512_5_30` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_512_5_30_en_5.2.0_3.0_1699277910897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_512_5_30_en_5.2.0_3.0_1699277910897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_512_5_30|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-512-5-30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_512_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_512_5_en.md
new file mode 100644
index 000000000000..d2beada4fd91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_512_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_512_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_512_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_512_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_512_5_en_5.2.0_3.0_1699275472902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_512_5_en_5.2.0_3.0_1699275472902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_512_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-512-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_512_en.md
new file mode 100644
index 000000000000..8eb12712c0b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_chem_original_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_chem_original_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_chem_original_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_chem_original_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_512_en_5.2.0_3.0_1699277718595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_chem_original_pubmedbert_512_en_5.2.0_3.0_1699277718595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_chem_original_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Chem-Original-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_128_32_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_128_32_en.md
new file mode 100644
index 000000000000..42891d4d7167
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_128_32_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_modified_pubmedbert_128_32 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_modified_pubmedbert_128_32
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_modified_pubmedbert_128_32` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_128_32_en_5.2.0_3.0_1699278090285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_128_32_en_5.2.0_3.0_1699278090285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_modified_pubmedbert_128_32|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Modified-PubMedBERT-128-32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_256_13_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_256_13_en.md
new file mode 100644
index 000000000000..9d3e9d0fe83d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_256_13_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_modified_pubmedbert_256_13 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_modified_pubmedbert_256_13
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_modified_pubmedbert_256_13` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_256_13_en_5.2.0_3.0_1699275638621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_256_13_en_5.2.0_3.0_1699275638621.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_modified_pubmedbert_256_13|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Modified-PubMedBERT-256-13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_256_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_256_5_en.md
new file mode 100644
index 000000000000..30b90c9962ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_256_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_modified_pubmedbert_256_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_modified_pubmedbert_256_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_modified_pubmedbert_256_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_256_5_en_5.2.0_3.0_1699276417238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_256_5_en_5.2.0_3.0_1699276417238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_modified_pubmedbert_256_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Modified-PubMedBERT-256-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_320_8_10_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_320_8_10_en.md
new file mode 100644
index 000000000000..b0a8781c8681
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_320_8_10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_modified_pubmedbert_320_8_10 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_modified_pubmedbert_320_8_10
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_modified_pubmedbert_320_8_10` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_320_8_10_en_5.2.0_3.0_1699278243282.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_320_8_10_en_5.2.0_3.0_1699278243282.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_modified_pubmedbert_320_8_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Modified-PubMedBERT-320-8-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_320_8_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_320_8_en.md
new file mode 100644
index 000000000000..5a3019821a13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_320_8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_modified_pubmedbert_320_8 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_modified_pubmedbert_320_8
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_modified_pubmedbert_320_8` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_320_8_en_5.2.0_3.0_1699276454804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_320_8_en_5.2.0_3.0_1699276454804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_modified_pubmedbert_320_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Modified-PubMedBERT-320-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_384_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_384_5_en.md
new file mode 100644
index 000000000000..49bfb8654332
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_384_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_modified_pubmedbert_384_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_modified_pubmedbert_384_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_modified_pubmedbert_384_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_384_5_en_5.2.0_3.0_1699278284185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_384_5_en_5.2.0_3.0_1699278284185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_modified_pubmedbert_384_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Modified-PubMedBERT-384-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_384_8_10_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_384_8_10_en.md
new file mode 100644
index 000000000000..e98fc477c817
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_384_8_10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_modified_pubmedbert_384_8_10 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_modified_pubmedbert_384_8_10
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_modified_pubmedbert_384_8_10` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_384_8_10_en_5.2.0_3.0_1699278511994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_384_8_10_en_5.2.0_3.0_1699278511994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_modified_pubmedbert_384_8_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Modified-PubMedBERT-384-8-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_384_8_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_384_8_en.md
new file mode 100644
index 000000000000..70d5dc8391f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_384_8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_modified_pubmedbert_384_8 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_modified_pubmedbert_384_8
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_modified_pubmedbert_384_8` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_384_8_en_5.2.0_3.0_1699276643424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_384_8_en_5.2.0_3.0_1699276643424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_modified_pubmedbert_384_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Modified-PubMedBERT-384-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_512_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_512_5_en.md
new file mode 100644
index 000000000000..0a436116f640
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_512_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_modified_pubmedbert_512_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_modified_pubmedbert_512_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_modified_pubmedbert_512_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_512_5_en_5.2.0_3.0_1699275794523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_512_5_en_5.2.0_3.0_1699275794523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_modified_pubmedbert_512_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Modified-PubMedBERT-512-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_512_en.md
new file mode 100644
index 000000000000..3cee19c6e586
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_modified_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_modified_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_modified_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_modified_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_512_en_5.2.0_3.0_1699278711478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_modified_pubmedbert_512_en_5.2.0_3.0_1699278711478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_modified_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Modified-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_128_32_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_128_32_en.md
new file mode 100644
index 000000000000..997f25f2488e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_128_32_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_original_pubmedbert_128_32 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_original_pubmedbert_128_32
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_original_pubmedbert_128_32` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_128_32_en_5.2.0_3.0_1699278492204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_128_32_en_5.2.0_3.0_1699278492204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_original_pubmedbert_128_32|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Original-PubMedBERT-128-32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_256_13_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_256_13_en.md
new file mode 100644
index 000000000000..81193a24201c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_256_13_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_original_pubmedbert_256_13 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_original_pubmedbert_256_13
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_original_pubmedbert_256_13` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_256_13_en_5.2.0_3.0_1699276868812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_256_13_en_5.2.0_3.0_1699276868812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_original_pubmedbert_256_13|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Original-PubMedBERT-256-13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_256_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_256_5_en.md
new file mode 100644
index 000000000000..1a940b322231
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_256_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_original_pubmedbert_256_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_original_pubmedbert_256_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_original_pubmedbert_256_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_256_5_en_5.2.0_3.0_1699278924480.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_256_5_en_5.2.0_3.0_1699278924480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_original_pubmedbert_256_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Original-PubMedBERT-256-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_320_8_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_320_8_en.md
new file mode 100644
index 000000000000..20c0b9a912eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_320_8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_original_pubmedbert_320_8 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_original_pubmedbert_320_8
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_original_pubmedbert_320_8` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_320_8_en_5.2.0_3.0_1699276014578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_320_8_en_5.2.0_3.0_1699276014578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_original_pubmedbert_320_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Original-PubMedBERT-320-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_384_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_384_5_en.md
new file mode 100644
index 000000000000..efb9a2f8f904
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_384_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_original_pubmedbert_384_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_original_pubmedbert_384_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_original_pubmedbert_384_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_384_5_en_5.2.0_3.0_1699276221284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_384_5_en_5.2.0_3.0_1699276221284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_original_pubmedbert_384_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Original-PubMedBERT-384-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_384_8_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_384_8_en.md
new file mode 100644
index 000000000000..1d06d90d1c6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_384_8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_original_pubmedbert_384_8 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_original_pubmedbert_384_8
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_original_pubmedbert_384_8` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_384_8_en_5.2.0_3.0_1699276637633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_384_8_en_5.2.0_3.0_1699276637633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_original_pubmedbert_384_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Original-PubMedBERT-384-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_512_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_512_5_en.md
new file mode 100644
index 000000000000..1927a111501f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_512_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_original_pubmedbert_512_5 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_original_pubmedbert_512_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_original_pubmedbert_512_5` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_512_5_en_5.2.0_3.0_1699278719798.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_512_5_en_5.2.0_3.0_1699278719798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_biored_dis_original_pubmedbert_512_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/BioRed-Dis-Original-PubMedBERT-512-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_512_en.md
new file mode 100644
index 000000000000..ccb73448f5f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_biored_dis_original_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_biored_dis_original_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_biored_dis_original_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_biored_dis_original_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_512_en_5.2.0_3.0_1699279126066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_biored_dis_original_pubmedbert_512_en_5.2.0_3.0_1699279126066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_chem_imbalanced_scibert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Chem_Imbalanced-SciBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_biobert_v1.1_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_biobert_v1.1_en.md
new file mode 100644
index 000000000000..ec532d639471
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_biobert_v1.1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_chem_modified_biobert_v1.1 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_chem_modified_biobert_v1.1
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_chem_modified_biobert_v1.1` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_chem_modified_biobert_v1.1_en_5.2.0_3.0_1699278934330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_chem_modified_biobert_v1.1_en_5.2.0_3.0_1699278934330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_chem_modified_biobert_v1.1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Chem-Modified-biobert-v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md
new file mode 100644
index 000000000000..fdb84094d38d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_biomednlp_pubmedbert_base_uncased_abstract_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_chem_modified_biomednlp_pubmedbert_base_uncased_abstract BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_chem_modified_biomednlp_pubmedbert_base_uncased_abstract
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_chem_modified_biomednlp_pubmedbert_base_uncased_abstract` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_chem_modified_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699277118912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_chem_modified_biomednlp_pubmedbert_base_uncased_abstract_en_5.2.0_3.0_1699277118912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_chem_modified_biomednlp_pubmedbert_base_uncased_abstract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Chem-Modified-BiomedNLP-PubMedBERT-base-uncased-abstract
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_pubmedbert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_pubmedbert_en.md
new file mode 100644
index 000000000000..d89bf1211fd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_pubmedbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_chem_modified_pubmedbert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_chem_modified_pubmedbert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_chem_modified_pubmedbert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_chem_modified_pubmedbert_en_5.2.0_3.0_1699279778044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_chem_modified_pubmedbert_en_5.2.0_3.0_1699279778044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_chem_modified_pubmedbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Chem-Modified_PubMedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_scibert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_scibert_en.md
new file mode 100644
index 000000000000..9b44a16ae581
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_modified_scibert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_chem_modified_scibert BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_chem_modified_scibert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_chem_modified_scibert` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_chem_modified_scibert_en_5.2.0_3.0_1699277322588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_chem_modified_scibert_en_5.2.0_3.0_1699277322588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_chem_modified_scibert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Chem-Modified_SciBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_original_biobert_v1.1_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_original_biobert_v1.1_en.md
new file mode 100644
index 000000000000..20f2f0ec1da0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_chem_original_biobert_v1.1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_chem_original_biobert_v1.1 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_chem_original_biobert_v1.1
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_chem_original_biobert_v1.1` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_chem_original_biobert_v1.1_en_5.2.0_3.0_1699277075527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_chem_original_biobert_v1.1_en_5.2.0_3.0_1699277075527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_chem_original_biobert_v1.1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Chem_Original-biobert-v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_bluebert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_bluebert_384_en.md
new file mode 100644
index 000000000000..3d18a633f45a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_bluebert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_modified_bluebert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_modified_bluebert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_modified_bluebert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_modified_bluebert_384_en_5.2.0_3.0_1699277260749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_modified_bluebert_384_en_5.2.0_3.0_1699277260749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_modified_bluebert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Modified-BlueBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_bluebert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_bluebert_512_en.md
new file mode 100644
index 000000000000..73e4a5d3f254
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_bluebert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_modified_bluebert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_modified_bluebert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_modified_bluebert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_modified_bluebert_512_en_5.2.0_3.0_1699276419432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_modified_bluebert_512_en_5.2.0_3.0_1699276419432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_modified_bluebert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Modified-BlueBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_pubmedbert_512_en.md
new file mode 100644
index 000000000000..fff659323110
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_modified_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_modified_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_modified_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_modified_pubmedbert_512_en_5.2.0_3.0_1699279132658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_modified_pubmedbert_512_en_5.2.0_3.0_1699279132658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_modified_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Modified-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_scibert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_scibert_384_en.md
new file mode 100644
index 000000000000..b4a3b14fa0be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_scibert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_modified_scibert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_modified_scibert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_modified_scibert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_modified_scibert_384_en_5.2.0_3.0_1699277419528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_modified_scibert_384_en_5.2.0_3.0_1699277419528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_modified_scibert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Modified-SciBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_scibert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_scibert_512_en.md
new file mode 100644
index 000000000000..4466a756a47b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_modified_scibert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_modified_scibert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_modified_scibert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_modified_scibert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_modified_scibert_512_en_5.2.0_3.0_1699277525779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_modified_scibert_512_en_5.2.0_3.0_1699277525779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_modified_scibert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Modified-SciBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_biobert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_biobert_384_en.md
new file mode 100644
index 000000000000..2a0259f07f06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_biobert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_original_biobert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_original_biobert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_original_biobert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_biobert_384_en_5.2.0_3.0_1699277600302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_biobert_384_en_5.2.0_3.0_1699277600302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_original_biobert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Original-BioBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_biobert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_biobert_512_en.md
new file mode 100644
index 000000000000..be64d4b21c68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_biobert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_original_biobert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_original_biobert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_original_biobert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_biobert_512_en_5.2.0_3.0_1699279990618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_biobert_512_en_5.2.0_3.0_1699279990618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_original_biobert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Original-BioBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_bluebert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_bluebert_384_en.md
new file mode 100644
index 000000000000..ebb634e152a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_bluebert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_original_bluebert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_original_bluebert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_original_bluebert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_bluebert_384_en_5.2.0_3.0_1699279342315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_bluebert_384_en_5.2.0_3.0_1699279342315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_original_bluebert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Original-BlueBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_bluebert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_bluebert_512_en.md
new file mode 100644
index 000000000000..cd8a91e81851
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_bluebert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_original_bluebert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_original_bluebert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_original_bluebert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_bluebert_512_en_5.2.0_3.0_1699276628507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_bluebert_512_en_5.2.0_3.0_1699276628507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_original_bluebert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Original-BlueBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_pubmedbert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_pubmedbert_384_en.md
new file mode 100644
index 000000000000..ae76ba111e3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_pubmedbert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_original_pubmedbert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_original_pubmedbert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_original_pubmedbert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_pubmedbert_384_en_5.2.0_3.0_1699277790730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_pubmedbert_384_en_5.2.0_3.0_1699277790730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_original_pubmedbert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Original-PubMedBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_pubmedbert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_pubmedbert_512_en.md
new file mode 100644
index 000000000000..038d15c47ff6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_pubmedbert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_original_pubmedbert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_original_pubmedbert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_original_pubmedbert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_pubmedbert_512_en_5.2.0_3.0_1699277708883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_pubmedbert_512_en_5.2.0_3.0_1699277708883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_original_pubmedbert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Original-PubMedBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_scibert_384_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_scibert_384_en.md
new file mode 100644
index 000000000000..72e1ccd21824
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_scibert_384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_original_scibert_384 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_original_scibert_384
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_original_scibert_384` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_scibert_384_en_5.2.0_3.0_1699277891716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_scibert_384_en_5.2.0_3.0_1699277891716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_original_scibert_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Original-SciBERT-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_scibert_512_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_scibert_512_en.md
new file mode 100644
index 000000000000..597b0decaa7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_craft_original_scibert_512_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_craft_original_scibert_512 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_craft_original_scibert_512
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_craft_original_scibert_512` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_scibert_512_en_5.2.0_3.0_1699280166206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_craft_original_scibert_512_en_5.2.0_3.0_1699280166206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_craft_original_scibert_512|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/CRAFT-Original-SciBERT-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_dani_91_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_dani_91_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..3a2ac1d4ab6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_dani_91_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_dani_91_bert_finetuned_ner BertForTokenClassification from Dani-91
+author: John Snow Labs
+name: bert_ner_dani_91_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_dani_91_bert_finetuned_ner` is a English model originally trained by Dani-91.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_dani_91_bert_finetuned_ner_en_5.2.0_3.0_1699279550805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_dani_91_bert_finetuned_ner_en_5.2.0_3.0_1699279550805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_ehelpbertpt|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.2 MB|
+
+## References
+
+https://huggingface.co/pucpr/eHelpBERTpt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_emmanuel_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_emmanuel_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..ce304a684ba3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_emmanuel_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_emmanuel_bert_finetuned_ner BertForTokenClassification from Emmanuel
+author: John Snow Labs
+name: bert_ner_emmanuel_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_emmanuel_bert_finetuned_ner` is a English model originally trained by Emmanuel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_emmanuel_bert_finetuned_ner_en_5.2.0_3.0_1699279747008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_emmanuel_bert_finetuned_ner_en_5.2.0_3.0_1699279747008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_epiextract4gard|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/wzkariampuzha/EpiExtract4GARD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_epiextract4gard_v1_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_epiextract4gard_v1_en.md
new file mode 100644
index 000000000000..55b4711c4ce6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_epiextract4gard_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_epiextract4gard_v1 BertForTokenClassification from ncats
+author: John Snow Labs
+name: bert_ner_epiextract4gard_v1
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_epiextract4gard_v1` is a English model originally trained by ncats.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_epiextract4gard_v1_en_5.2.0_3.0_1699278238688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_epiextract4gard_v1_en_5.2.0_3.0_1699278238688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_epiextract4gard_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ncats/EpiExtract4GARD-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_epiextract4gard_v2_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_epiextract4gard_v2_en.md
new file mode 100644
index 000000000000..5b5a9a1631ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_epiextract4gard_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_epiextract4gard_v2 BertForTokenClassification from ncats
+author: John Snow Labs
+name: bert_ner_epiextract4gard_v2
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_epiextract4gard_v2` is a English model originally trained by ncats.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_epiextract4gard_v2_en_5.2.0_3.0_1699278614978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_epiextract4gard_v2_en_5.2.0_3.0_1699278614978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_epiextract4gard_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ncats/EpiExtract4GARD-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_estbert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_estbert_ner_en.md
new file mode 100644
index 000000000000..dd674ad15a47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_estbert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_estbert_ner BertForTokenClassification from tartuNLP
+author: John Snow Labs
+name: bert_ner_estbert_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_estbert_ner` is a English model originally trained by tartuNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_estbert_ner_en_5.2.0_3.0_1699278798442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_estbert_ner_en_5.2.0_3.0_1699278798442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_far50brbert_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/giggio/Far50BrBERT-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_far75brbert_base_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_far75brbert_base_en.md
new file mode 100644
index 000000000000..e3ddef788b6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_far75brbert_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_far75brbert_base BertForTokenClassification from giggio
+author: John Snow Labs
+name: bert_ner_far75brbert_base
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_far75brbert_base` is a English model originally trained by giggio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_far75brbert_base_en_5.2.0_3.0_1699278977851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_far75brbert_base_en_5.2.0_3.0_1699278977851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_far75brbert_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/giggio/Far75BrBERT-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_farbrbert_base_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_farbrbert_base_en.md
new file mode 100644
index 000000000000..01c7da3a4c52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_farbrbert_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_farbrbert_base BertForTokenClassification from giggio
+author: John Snow Labs
+name: bert_ner_farbrbert_base
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_farbrbert_base` is a English model originally trained by giggio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_farbrbert_base_en_5.2.0_3.0_1699280127667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_farbrbert_base_en_5.2.0_3.0_1699280127667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_hebert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|he|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/avichr/heBERT_NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_hiner_original_muril_base_cased_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_hiner_original_muril_base_cased_en.md
new file mode 100644
index 000000000000..ed440b8f3bd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_hiner_original_muril_base_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_hiner_original_muril_base_cased BertForTokenClassification from cfilt
+author: John Snow Labs
+name: bert_ner_hiner_original_muril_base_cased
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_hiner_original_muril_base_cased` is a English model originally trained by cfilt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_hiner_original_muril_base_cased_en_5.2.0_3.0_1699276931660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_hiner_original_muril_base_cased_en_5.2.0_3.0_1699276931660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_idrisi_lmr_hd_tb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/rsuwaileh/IDRISI-LMR-HD-TB
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_idrisi_lmr_hd_tb_partition_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_idrisi_lmr_hd_tb_partition_en.md
new file mode 100644
index 000000000000..cab78571399b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_idrisi_lmr_hd_tb_partition_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_idrisi_lmr_hd_tb_partition BertForTokenClassification from rsuwaileh
+author: John Snow Labs
+name: bert_ner_idrisi_lmr_hd_tb_partition
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_idrisi_lmr_hd_tb_partition` is a English model originally trained by rsuwaileh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_idrisi_lmr_hd_tb_partition_en_5.2.0_3.0_1699279482189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_idrisi_lmr_hd_tb_partition_en_5.2.0_3.0_1699279482189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_idrisi_lmr_hd_tb_partition|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/rsuwaileh/IDRISI-LMR-HD-TB-partition
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_idrisi_lmr_hd_tl_partition_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_idrisi_lmr_hd_tl_partition_en.md
new file mode 100644
index 000000000000..f784c9518f74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_idrisi_lmr_hd_tl_partition_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_idrisi_lmr_hd_tl_partition BertForTokenClassification from rsuwaileh
+author: John Snow Labs
+name: bert_ner_idrisi_lmr_hd_tl_partition
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_idrisi_lmr_hd_tl_partition` is a English model originally trained by rsuwaileh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_idrisi_lmr_hd_tl_partition_en_5.2.0_3.0_1699277268999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_idrisi_lmr_hd_tl_partition_en_5.2.0_3.0_1699277268999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_idrisi_lmr_hd_tl_partition|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/rsuwaileh/IDRISI-LMR-HD-TL-partition
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_importsmart_bert_tonga_tonga_islands_distilbert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_importsmart_bert_tonga_tonga_islands_distilbert_ner_en.md
new file mode 100644
index 000000000000..df2ac6a69955
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_importsmart_bert_tonga_tonga_islands_distilbert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_importsmart_bert_tonga_tonga_islands_distilbert_ner BertForTokenClassification from importsmart
+author: John Snow Labs
+name: bert_ner_importsmart_bert_tonga_tonga_islands_distilbert_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_importsmart_bert_tonga_tonga_islands_distilbert_ner` is a English model originally trained by importsmart.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_importsmart_bert_tonga_tonga_islands_distilbert_ner_en_5.2.0_3.0_1699292534714.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_importsmart_bert_tonga_tonga_islands_distilbert_ner_en_5.2.0_3.0_1699292534714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_kaushalkhator_bert_tonga_tonga_islands_distilbert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|244.3 MB|
+
+## References
+
+https://huggingface.co/kaushalkhator/bert-to-distilbert-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_kb_bert_base_swedish_cased_ner_sv.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_kb_bert_base_swedish_cased_ner_sv.md
new file mode 100644
index 000000000000..0edbef913906
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_kb_bert_base_swedish_cased_ner_sv.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Swedish bert_ner_kb_bert_base_swedish_cased_ner BertForTokenClassification from KB
+author: John Snow Labs
+name: bert_ner_kb_bert_base_swedish_cased_ner
+date: 2023-11-06
+tags: [bert, sv, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: sv
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_kb_bert_base_swedish_cased_ner` is a Swedish model originally trained by KB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_kb_bert_base_swedish_cased_ner_sv_5.2.0_3.0_1699278518487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_kb_bert_base_swedish_cased_ner_sv_5.2.0_3.0_1699278518487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_labse_ner_nerel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|ru|
+|Size:|480.5 MB|
+
+## References
+
+https://huggingface.co/surdan/LaBSE_ner_nerel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_laure996_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_laure996_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..5eb9f05513f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_laure996_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_laure996_bert_finetuned_ner BertForTokenClassification from Laure996
+author: John Snow Labs
+name: bert_ner_laure996_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_laure996_bert_finetuned_ner` is a English model originally trained by Laure996.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_laure996_bert_finetuned_ner_en_5.2.0_3.0_1699280007843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_laure996_bert_finetuned_ner_en_5.2.0_3.0_1699280007843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_mascariddu8_bert_finetuned_ner_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Mascariddu8/bert-finetuned-ner-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_mascariddu8_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_mascariddu8_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..ddd7995e8e4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_mascariddu8_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_mascariddu8_bert_finetuned_ner BertForTokenClassification from Mascariddu8
+author: John Snow Labs
+name: bert_ner_mascariddu8_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_mascariddu8_bert_finetuned_ner` is a English model originally trained by Mascariddu8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_mascariddu8_bert_finetuned_ner_en_5.2.0_3.0_1699280520765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_mascariddu8_bert_finetuned_ner_en_5.2.0_3.0_1699280520765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_mbert_base_uncased_swahili_macrolanguage|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|swa|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/arnolfokam/mbert-base-uncased-swa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_mcdzwil_bert_base_ner_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_mcdzwil_bert_base_ner_finetuned_ner_en.md
new file mode 100644
index 000000000000..909f77e03ec5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_mcdzwil_bert_base_ner_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_mcdzwil_bert_base_ner_finetuned_ner BertForTokenClassification from mcdzwil
+author: John Snow Labs
+name: bert_ner_mcdzwil_bert_base_ner_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_mcdzwil_bert_base_ner_finetuned_ner` is a English model originally trained by mcdzwil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_mcdzwil_bert_base_ner_finetuned_ner_en_5.2.0_3.0_1699296958384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_mcdzwil_bert_base_ner_finetuned_ner_en_5.2.0_3.0_1699296958384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_model_col_mod|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Model_col-mod
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_corsican_imb_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_corsican_imb_en.md
new file mode 100644
index 000000000000..cd91093003a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_corsican_imb_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_model_corsican_imb BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_model_corsican_imb
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_model_corsican_imb` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_model_corsican_imb_en_5.2.0_3.0_1699281413219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_model_corsican_imb_en_5.2.0_3.0_1699281413219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_model_corsican_imb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Model_co_imb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_imb_1_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_imb_1_en.md
new file mode 100644
index 000000000000..4994c70d9708
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_imb_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_model_imb_1 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_model_imb_1
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_model_imb_1` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_model_imb_1_en_5.2.0_3.0_1699280703807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_model_imb_1_en_5.2.0_3.0_1699280703807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_model_imb_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Model_imb_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_imb_2_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_imb_2_en.md
new file mode 100644
index 000000000000..e52d14a6c78f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_imb_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_model_imb_2 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_model_imb_2
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_model_imb_2` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_model_imb_2_en_5.2.0_3.0_1699280963757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_model_imb_2_en_5.2.0_3.0_1699280963757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_model_imb_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Model_imb_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_imb_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_imb_en.md
new file mode 100644
index 000000000000..39b08c842689
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_imb_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_model_imb BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_model_imb
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_model_imb` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_model_imb_en_5.2.0_3.0_1699281585872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_model_imb_en_5.2.0_3.0_1699281585872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_model_imb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Model_imb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_org_1_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_org_1_en.md
new file mode 100644
index 000000000000..3ce471fa82af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_org_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_model_org_1 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_model_org_1
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_model_org_1` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_model_org_1_en_5.2.0_3.0_1699281779167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_model_org_1_en_5.2.0_3.0_1699281779167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_model_org_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Model_org_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_org_2_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_org_2_en.md
new file mode 100644
index 000000000000..35d9ff33b92f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_org_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_model_org_2 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_model_org_2
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_model_org_2` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_model_org_2_en_5.2.0_3.0_1699279187176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_model_org_2_en_5.2.0_3.0_1699279187176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_model_org_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Model_org_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_org_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_org_en.md
new file mode 100644
index 000000000000..deb385f0ec50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_model_org_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_model_org BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_model_org
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_model_org` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_model_org_en_5.2.0_3.0_1699281179145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_model_org_en_5.2.0_3.0_1699281179145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_model_org|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Model_org
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_modified_bluebert_biored_chem_512_5_30_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_modified_bluebert_biored_chem_512_5_30_en.md
new file mode 100644
index 000000000000..1983adab5995
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_modified_bluebert_biored_chem_512_5_30_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_modified_bluebert_biored_chem_512_5_30 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_modified_bluebert_biored_chem_512_5_30
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_modified_bluebert_biored_chem_512_5_30` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_modified_bluebert_biored_chem_512_5_30_en_5.2.0_3.0_1699279382212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_modified_bluebert_biored_chem_512_5_30_en_5.2.0_3.0_1699279382212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_modified_bluebert_biored_chem_512_5_30|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Modified-BlueBERT-BioRED-Chem-512-5-30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_mohitsingh_wikineural_multilingual_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_mohitsingh_wikineural_multilingual_ner_en.md
new file mode 100644
index 000000000000..81501818b603
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_mohitsingh_wikineural_multilingual_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_mohitsingh_wikineural_multilingual_ner BertForTokenClassification from MohitSingh
+author: John Snow Labs
+name: bert_ner_mohitsingh_wikineural_multilingual_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_mohitsingh_wikineural_multilingual_ner` is a English model originally trained by MohitSingh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_mohitsingh_wikineural_multilingual_ner_en_5.2.0_3.0_1699280294734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_mohitsingh_wikineural_multilingual_ner_en_5.2.0_3.0_1699280294734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_nepal_bhasa_test_model2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/kSaluja/new-test-model2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_nepal_bhasa_test_model_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_nepal_bhasa_test_model_en.md
new file mode 100644
index 000000000000..87429cfee33e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_nepal_bhasa_test_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_nepal_bhasa_test_model BertForTokenClassification from kSaluja
+author: John Snow Labs
+name: bert_ner_nepal_bhasa_test_model
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_nepal_bhasa_test_model` is a English model originally trained by kSaluja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_nepal_bhasa_test_model_en_5.2.0_3.0_1699298365359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_nepal_bhasa_test_model_en_5.2.0_3.0_1699298365359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_ner_conll2003_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Xiaoman/NER-CoNLL2003-V2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_ner_conll2003_v3_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_ner_conll2003_v3_en.md
new file mode 100644
index 000000000000..90ff74e904c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_ner_conll2003_v3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_ner_conll2003_v3 BertForTokenClassification from Xiaoman
+author: John Snow Labs
+name: bert_ner_ner_conll2003_v3
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_ner_conll2003_v3` is a English model originally trained by Xiaoman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_ner_conll2003_v3_en_5.2.0_3.0_1699279717066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_ner_conll2003_v3_en_5.2.0_3.0_1699279717066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_ner_conll2003_v3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Xiaoman/NER-CoNLL2003-V3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_ner_conll2003_v4_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_ner_conll2003_v4_en.md
new file mode 100644
index 000000000000..bed3d57d240e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_ner_conll2003_v4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_ner_conll2003_v4 BertForTokenClassification from Xiaoman
+author: John Snow Labs
+name: bert_ner_ner_conll2003_v4
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_ner_conll2003_v4` is a English model originally trained by Xiaoman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_ner_conll2003_v4_en_5.2.0_3.0_1699280076980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_ner_conll2003_v4_en_5.2.0_3.0_1699280076980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_ner_english_vietnamese_italian_spanish_tinparadox|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/tinparadox/NER-en-vi-it-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_ner_for_female_names_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_ner_for_female_names_en.md
new file mode 100644
index 000000000000..6b3a8a29d39f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_ner_for_female_names_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_ner_for_female_names BertForTokenClassification from Xiaoman
+author: John Snow Labs
+name: bert_ner_ner_for_female_names
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_ner_for_female_names` is a English model originally trained by Xiaoman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_ner_for_female_names_en_5.2.0_3.0_1699281788116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_ner_for_female_names_en_5.2.0_3.0_1699281788116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_neulvo_bert_finetuned_ner_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Neulvo/bert-finetuned-ner-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_neulvo_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_neulvo_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..482f28695096
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_neulvo_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_neulvo_bert_finetuned_ner BertForTokenClassification from Neulvo
+author: John Snow Labs
+name: bert_ner_neulvo_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_neulvo_bert_finetuned_ner` is a English model originally trained by Neulvo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_neulvo_bert_finetuned_ner_en_5.2.0_3.0_1699282015146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_neulvo_bert_finetuned_ner_en_5.2.0_3.0_1699282015146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_nlp_cic_wfu_clinical_cases_ner_mbert_cased_fine_tuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/ajtamayoh/NLP-CIC-WFU_Clinical_Cases_NER_mBERT_cased_fine_tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_nlp_cic_wfu_clinical_cases_ner_paragraph_tokenized_mbert_cased_fine_tuned_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_nlp_cic_wfu_clinical_cases_ner_paragraph_tokenized_mbert_cased_fine_tuned_en.md
new file mode 100644
index 000000000000..4c7ba6399da5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_nlp_cic_wfu_clinical_cases_ner_paragraph_tokenized_mbert_cased_fine_tuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_nlp_cic_wfu_clinical_cases_ner_paragraph_tokenized_mbert_cased_fine_tuned BertForTokenClassification from ajtamayoh
+author: John Snow Labs
+name: bert_ner_nlp_cic_wfu_clinical_cases_ner_paragraph_tokenized_mbert_cased_fine_tuned
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_nlp_cic_wfu_clinical_cases_ner_paragraph_tokenized_mbert_cased_fine_tuned` is a English model originally trained by ajtamayoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_nlp_cic_wfu_clinical_cases_ner_paragraph_tokenized_mbert_cased_fine_tuned_en_5.2.0_3.0_1699278521403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_nlp_cic_wfu_clinical_cases_ner_paragraph_tokenized_mbert_cased_fine_tuned_en_5.2.0_3.0_1699278521403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_nlp_cic_wfu_clinical_cases_ner_paragraph_tokenized_mbert_cased_fine_tuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/ajtamayoh/NLP-CIC-WFU_Clinical_Cases_NER_Paragraph_Tokenized_mBERT_cased_fine_tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_nlp_cic_wfu_clinical_cases_ner_sents_tokenized_mbert_cased_fine_tuned_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_nlp_cic_wfu_clinical_cases_ner_sents_tokenized_mbert_cased_fine_tuned_en.md
new file mode 100644
index 000000000000..52c1b335b6b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_nlp_cic_wfu_clinical_cases_ner_sents_tokenized_mbert_cased_fine_tuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_nlp_cic_wfu_clinical_cases_ner_sents_tokenized_mbert_cased_fine_tuned BertForTokenClassification from ajtamayoh
+author: John Snow Labs
+name: bert_ner_nlp_cic_wfu_clinical_cases_ner_sents_tokenized_mbert_cased_fine_tuned
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_nlp_cic_wfu_clinical_cases_ner_sents_tokenized_mbert_cased_fine_tuned` is a English model originally trained by ajtamayoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_nlp_cic_wfu_clinical_cases_ner_sents_tokenized_mbert_cased_fine_tuned_en_5.2.0_3.0_1699280341642.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_nlp_cic_wfu_clinical_cases_ner_sents_tokenized_mbert_cased_fine_tuned_en_5.2.0_3.0_1699280341642.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_offlangdetectionturkish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|tr|
+|Size:|412.5 MB|
+
+## References
+
+https://huggingface.co/savasy/offLangDetectionTurkish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_bc2gm_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_bc2gm_en.md
new file mode 100644
index 000000000000..538dd5c94f69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_bc2gm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_biobert_bc2gm BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_biobert_bc2gm
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_biobert_bc2gm` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_biobert_bc2gm_en_5.2.0_3.0_1699281281190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_biobert_bc2gm_en_5.2.0_3.0_1699281281190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_biobert_bc2gm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BioBERT-BC2GM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_bc5cdr_chemical_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_bc5cdr_chemical_en.md
new file mode 100644
index 000000000000..2908067a9cb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_bc5cdr_chemical_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_biobert_bc5cdr_chemical BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_biobert_bc5cdr_chemical
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_biobert_bc5cdr_chemical` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_biobert_bc5cdr_chemical_en_5.2.0_3.0_1699278929146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_biobert_bc5cdr_chemical_en_5.2.0_3.0_1699278929146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_biobert_bc5cdr_chemical|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BioBERT-BC5CDR-Chemical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_bc5cdr_disease_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_bc5cdr_disease_en.md
new file mode 100644
index 000000000000..14865a436ea6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_bc5cdr_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_biobert_bc5cdr_disease BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_biobert_bc5cdr_disease
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_biobert_bc5cdr_disease` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_biobert_bc5cdr_disease_en_5.2.0_3.0_1699281001755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_biobert_bc5cdr_disease_en_5.2.0_3.0_1699281001755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_biobert_bc5cdr_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BioBERT-BC5CDR-Disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_linnaeus_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_linnaeus_en.md
new file mode 100644
index 000000000000..9e014b99e8fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_linnaeus_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_biobert_linnaeus BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_biobert_linnaeus
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_biobert_linnaeus` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_biobert_linnaeus_en_5.2.0_3.0_1699279134262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_biobert_linnaeus_en_5.2.0_3.0_1699279134262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_biobert_linnaeus|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BioBERT-Linnaeus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_ncbi_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_ncbi_en.md
new file mode 100644
index 000000000000..17d4c5c6f05d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_biobert_ncbi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_biobert_ncbi BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_biobert_ncbi
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_biobert_ncbi` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_biobert_ncbi_en_5.2.0_3.0_1699279337375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_biobert_ncbi_en_5.2.0_3.0_1699279337375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_biobert_ncbi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BioBERT-NCBI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc2gm_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc2gm_en.md
new file mode 100644
index 000000000000..d800436adcb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc2gm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_bluebert_bc2gm BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_bluebert_bc2gm
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_bluebert_bc2gm` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_bc2gm_en_5.2.0_3.0_1699279570424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_bc2gm_en_5.2.0_3.0_1699279570424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_bluebert_bc2gm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BlueBERT-BC2GM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc4chemd_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc4chemd_en.md
new file mode 100644
index 000000000000..ff4380227e59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc4chemd_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_bluebert_bc4chemd BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_bluebert_bc4chemd
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_bluebert_bc4chemd` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_bc4chemd_en_5.2.0_3.0_1699281985956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_bc4chemd_en_5.2.0_3.0_1699281985956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_bluebert_bc4chemd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BlueBERT-BC4CHEMD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc5cdr_chemical_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc5cdr_chemical_en.md
new file mode 100644
index 000000000000..3cfa47e065d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc5cdr_chemical_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_bluebert_bc5cdr_chemical BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_bluebert_bc5cdr_chemical
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_bluebert_bc5cdr_chemical` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_bc5cdr_chemical_en_5.2.0_3.0_1699282192810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_bc5cdr_chemical_en_5.2.0_3.0_1699282192810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_bluebert_bc5cdr_chemical|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BlueBERT-BC5CDR-Chemical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc5cdr_disease_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc5cdr_disease_en.md
new file mode 100644
index 000000000000..dc181747eb1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_bc5cdr_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_bluebert_bc5cdr_disease BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_bluebert_bc5cdr_disease
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_bluebert_bc5cdr_disease` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_bc5cdr_disease_en_5.2.0_3.0_1699279772968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_bc5cdr_disease_en_5.2.0_3.0_1699279772968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_bluebert_bc5cdr_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BlueBERT-BC5CDR-Disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_biored_chem_512_5_30_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_biored_chem_512_5_30_en.md
new file mode 100644
index 000000000000..87fb6585e878
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_biored_chem_512_5_30_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_bluebert_biored_chem_512_5_30 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_bluebert_biored_chem_512_5_30
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_bluebert_biored_chem_512_5_30` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_biored_chem_512_5_30_en_5.2.0_3.0_1699282167449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_biored_chem_512_5_30_en_5.2.0_3.0_1699282167449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_bluebert_biored_chem_512_5_30|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BlueBERT-BioRED-Chem-512-5-30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_biored_chem_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_biored_chem_en.md
new file mode 100644
index 000000000000..80ea1eb688a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_biored_chem_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_bluebert_biored_chem BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_bluebert_biored_chem
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_bluebert_biored_chem` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_biored_chem_en_5.2.0_3.0_1699282355533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_biored_chem_en_5.2.0_3.0_1699282355533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_bluebert_biored_chem|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BlueBERT-BioRED-Chem
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_linnaeus_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_linnaeus_en.md
new file mode 100644
index 000000000000..83ac9b7d7d69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_bluebert_linnaeus_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_bluebert_linnaeus BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_bluebert_linnaeus
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_bluebert_linnaeus` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_linnaeus_en_5.2.0_3.0_1699281191949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_bluebert_linnaeus_en_5.2.0_3.0_1699281191949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_bluebert_linnaeus|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-BlueBERT-Linnaeus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc2gm_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc2gm_en.md
new file mode 100644
index 000000000000..0463159da0a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc2gm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_pubmedbert_bc2gm BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_pubmedbert_bc2gm
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_pubmedbert_bc2gm` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_bc2gm_en_5.2.0_3.0_1699282350972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_bc2gm_en_5.2.0_3.0_1699282350972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_pubmedbert_bc2gm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-PubMedBERT-BC2GM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc4chemd_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc4chemd_en.md
new file mode 100644
index 000000000000..8938e8196649
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc4chemd_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_pubmedbert_bc4chemd BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_pubmedbert_bc4chemd
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_pubmedbert_bc4chemd` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_bc4chemd_en_5.2.0_3.0_1699281398165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_bc4chemd_en_5.2.0_3.0_1699281398165.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_pubmedbert_bc4chemd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-PubMedBERT-BC4CHEMD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc5cdr_chemical_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc5cdr_chemical_en.md
new file mode 100644
index 000000000000..8a4ff00188e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc5cdr_chemical_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_pubmedbert_bc5cdr_chemical BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_pubmedbert_bc5cdr_chemical
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_pubmedbert_bc5cdr_chemical` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_bc5cdr_chemical_en_5.2.0_3.0_1699282558437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_bc5cdr_chemical_en_5.2.0_3.0_1699282558437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_pubmedbert_bc5cdr_chemical|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-PubMedBERT-BC5CDR-Chemical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc5cdr_disease_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc5cdr_disease_en.md
new file mode 100644
index 000000000000..62d49b9fd3ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_bc5cdr_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_pubmedbert_bc5cdr_disease BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_pubmedbert_bc5cdr_disease
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_pubmedbert_bc5cdr_disease` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_bc5cdr_disease_en_5.2.0_3.0_1699279985989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_bc5cdr_disease_en_5.2.0_3.0_1699279985989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_pubmedbert_bc5cdr_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-PubMedBERT-BC5CDR-disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_linnaeus_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_linnaeus_en.md
new file mode 100644
index 000000000000..ccb81438b81c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_linnaeus_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_pubmedbert_linnaeus BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_pubmedbert_linnaeus
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_pubmedbert_linnaeus` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_linnaeus_en_5.2.0_3.0_1699281621940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_linnaeus_en_5.2.0_3.0_1699281621940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_pubmedbert_linnaeus|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-PubMedBERT-Linnaeus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_ncbi_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_ncbi_en.md
new file mode 100644
index 000000000000..e70dc50389dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_pubmedbert_ncbi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_pubmedbert_ncbi BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_pubmedbert_ncbi
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_pubmedbert_ncbi` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_ncbi_en_5.2.0_3.0_1699281818269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_pubmedbert_ncbi_en_5.2.0_3.0_1699281818269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_pubmedbert_ncbi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-PubMedBERT-NCBI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc2gm_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc2gm_en.md
new file mode 100644
index 000000000000..dabe172e9676
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc2gm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_scibert_bc2gm BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_scibert_bc2gm
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_scibert_bc2gm` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc2gm_en_5.2.0_3.0_1699280165266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc2gm_en_5.2.0_3.0_1699280165266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_scibert_bc2gm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-SciBERT-BC2GM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc4chemd_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc4chemd_en.md
new file mode 100644
index 000000000000..d5587b267c96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc4chemd_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_scibert_bc4chemd BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_scibert_bc4chemd
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_scibert_bc4chemd` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc4chemd_en_5.2.0_3.0_1699282728006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc4chemd_en_5.2.0_3.0_1699282728006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_scibert_bc4chemd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-SciBERT-BC4CHEMD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc4chemd_o_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc4chemd_o_en.md
new file mode 100644
index 000000000000..8e9603157c1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc4chemd_o_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_scibert_bc4chemd_o BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_scibert_bc4chemd_o
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_scibert_bc4chemd_o` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc4chemd_o_en_5.2.0_3.0_1699281473885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc4chemd_o_en_5.2.0_3.0_1699281473885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_scibert_bc4chemd_o|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-SciBERT-BC4CHEMD-O
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_en.md
new file mode 100644
index 000000000000..d7e2e59f3d09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_scibert_bc5cdr_chemical BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_scibert_bc5cdr_chemical
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_scibert_bc5cdr_chemical` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc5cdr_chemical_en_5.2.0_3.0_1699282021654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc5cdr_chemical_en_5.2.0_3.0_1699282021654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_scibert_bc5cdr_chemical|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-SciBERT-BC5CDR-Chemical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_t1_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_t1_en.md
new file mode 100644
index 000000000000..ed30aff8929b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_t1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_scibert_bc5cdr_chemical_t1 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_scibert_bc5cdr_chemical_t1
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_scibert_bc5cdr_chemical_t1` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc5cdr_chemical_t1_en_5.2.0_3.0_1699280367481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc5cdr_chemical_t1_en_5.2.0_3.0_1699280367481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_scibert_bc5cdr_chemical_t1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-SciBERT-BC5CDR-Chemical-T1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_t2_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_t2_en.md
new file mode 100644
index 000000000000..4ce8e8204015
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_t2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_scibert_bc5cdr_chemical_t2 BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_scibert_bc5cdr_chemical_t2
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_scibert_bc5cdr_chemical_t2` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc5cdr_chemical_t2_en_5.2.0_3.0_1699282572917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc5cdr_chemical_t2_en_5.2.0_3.0_1699282572917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_scibert_bc5cdr_chemical_t2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-SciBERT-BC5CDR-Chemical-T2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_t_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_t_en.md
new file mode 100644
index 000000000000..091f26dd85bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_chemical_t_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_scibert_bc5cdr_chemical_t BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_scibert_bc5cdr_chemical_t
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_scibert_bc5cdr_chemical_t` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc5cdr_chemical_t_en_5.2.0_3.0_1699281651469.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc5cdr_chemical_t_en_5.2.0_3.0_1699281651469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_scibert_bc5cdr_chemical_t|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-SciBERT-BC5CDR-Chemical-T
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_disease_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_disease_en.md
new file mode 100644
index 000000000000..e21849551a28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_bc5cdr_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_scibert_bc5cdr_disease BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_scibert_bc5cdr_disease
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_scibert_bc5cdr_disease` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc5cdr_disease_en_5.2.0_3.0_1699282951376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_bc5cdr_disease_en_5.2.0_3.0_1699282951376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_scibert_bc5cdr_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-SciBERT-BC5CDR-Disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_linnaeus_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_linnaeus_en.md
new file mode 100644
index 000000000000..fc375800807b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_original_scibert_linnaeus_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_original_scibert_linnaeus BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_original_scibert_linnaeus
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_original_scibert_linnaeus` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_linnaeus_en_5.2.0_3.0_1699282219957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_original_scibert_linnaeus_en_5.2.0_3.0_1699282219957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_original_scibert_linnaeus|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Original-SciBERT-Linnaeus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_orignal_scibert_ncbi_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_orignal_scibert_ncbi_en.md
new file mode 100644
index 000000000000..f227aa53b18e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_orignal_scibert_ncbi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_orignal_scibert_ncbi BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_orignal_scibert_ncbi
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_orignal_scibert_ncbi` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_orignal_scibert_ncbi_en_5.2.0_3.0_1699282752411.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_orignal_scibert_ncbi_en_5.2.0_3.0_1699282752411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_orignal_scibert_ncbi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/Orignal-SciBERT-NCBI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_orignial_bluebert_ncbi_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_orignial_bluebert_ncbi_en.md
new file mode 100644
index 000000000000..c7bed364f7f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_orignial_bluebert_ncbi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_orignial_bluebert_ncbi BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_orignial_bluebert_ncbi
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_orignial_bluebert_ncbi` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_orignial_bluebert_ncbi_en_5.2.0_3.0_1699280549914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_orignial_bluebert_ncbi_en_5.2.0_3.0_1699280549914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_ravindra001_bert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Ravindra001/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_raymelius_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_raymelius_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..afd815d8c8d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_raymelius_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_raymelius_bert_finetuned_ner BertForTokenClassification from RayMelius
+author: John Snow Labs
+name: bert_ner_raymelius_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_raymelius_bert_finetuned_ner` is a English model originally trained by RayMelius.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_raymelius_bert_finetuned_ner_en_5.2.0_3.0_1699282963248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_raymelius_bert_finetuned_ner_en_5.2.0_3.0_1699282963248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_scibert_scivocab_cased_sdu21_ai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/napsternxg/scibert_scivocab_cased_SDU21_AI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_ft_sdu21_ai_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_ft_sdu21_ai_en.md
new file mode 100644
index 000000000000..8e753a79277c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_ft_sdu21_ai_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_scibert_scivocab_uncased_ft_sdu21_ai BertForTokenClassification from napsternxg
+author: John Snow Labs
+name: bert_ner_scibert_scivocab_uncased_ft_sdu21_ai
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_scibert_scivocab_uncased_ft_sdu21_ai` is a English model originally trained by napsternxg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_scibert_scivocab_uncased_ft_sdu21_ai_en_5.2.0_3.0_1699299937740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_scibert_scivocab_uncased_ft_sdu21_ai_en_5.2.0_3.0_1699299937740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_scibert_scivocab_uncased_ft_sdu21_ai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/napsternxg/scibert_scivocab_uncased_ft_SDU21_AI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_ft_tv_sdu21_ai_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_ft_tv_sdu21_ai_en.md
new file mode 100644
index 000000000000..71efa0119070
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_ft_tv_sdu21_ai_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_scibert_scivocab_uncased_ft_tv_sdu21_ai BertForTokenClassification from napsternxg
+author: John Snow Labs
+name: bert_ner_scibert_scivocab_uncased_ft_tv_sdu21_ai
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_scibert_scivocab_uncased_ft_tv_sdu21_ai` is a English model originally trained by napsternxg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_scibert_scivocab_uncased_ft_tv_sdu21_ai_en_5.2.0_3.0_1699300157518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_scibert_scivocab_uncased_ft_tv_sdu21_ai_en_5.2.0_3.0_1699300157518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_scibert_scivocab_uncased_ft_tv_sdu21_ai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/napsternxg/scibert_scivocab_uncased_ft_tv_SDU21_AI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_sdu21_ai_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_sdu21_ai_en.md
new file mode 100644
index 000000000000..ed9ac856c9f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_sdu21_ai_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_scibert_scivocab_uncased_sdu21_ai BertForTokenClassification from napsternxg
+author: John Snow Labs
+name: bert_ner_scibert_scivocab_uncased_sdu21_ai
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_scibert_scivocab_uncased_sdu21_ai` is a English model originally trained by napsternxg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_scibert_scivocab_uncased_sdu21_ai_en_5.2.0_3.0_1699298884772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_scibert_scivocab_uncased_sdu21_ai_en_5.2.0_3.0_1699298884772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_scibert_scivocab_uncased_sdu21_ai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/napsternxg/scibert_scivocab_uncased_SDU21_AI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_tv_sdu21_ai_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_tv_sdu21_ai_en.md
new file mode 100644
index 000000000000..786ac6be07f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_scibert_scivocab_uncased_tv_sdu21_ai_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_scibert_scivocab_uncased_tv_sdu21_ai BertForTokenClassification from napsternxg
+author: John Snow Labs
+name: bert_ner_scibert_scivocab_uncased_tv_sdu21_ai
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_scibert_scivocab_uncased_tv_sdu21_ai` is a English model originally trained by napsternxg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_scibert_scivocab_uncased_tv_sdu21_ai_en_5.2.0_3.0_1699299559527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_scibert_scivocab_uncased_tv_sdu21_ai_en_5.2.0_3.0_1699299559527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_scibert_scivocab_uncased_tv_sdu21_ai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/napsternxg/scibert_scivocab_uncased_tv_SDU21_AI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_sebastians_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_sebastians_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..4e74f2da7f78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_sebastians_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_sebastians_bert_finetuned_ner BertForTokenClassification from SebastianS
+author: John Snow Labs
+name: bert_ner_sebastians_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_sebastians_bert_finetuned_ner` is a English model originally trained by SebastianS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_sebastians_bert_finetuned_ner_en_5.2.0_3.0_1699283151341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_sebastians_bert_finetuned_ner_en_5.2.0_3.0_1699283151341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_sebastians_bert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/SebastianS/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_shiva12_wikineural_multilingual_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_shiva12_wikineural_multilingual_ner_en.md
new file mode 100644
index 000000000000..bd22639bcb34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_shiva12_wikineural_multilingual_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_shiva12_wikineural_multilingual_ner BertForTokenClassification from Shiva12
+author: John Snow Labs
+name: bert_ner_shiva12_wikineural_multilingual_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_shiva12_wikineural_multilingual_ner` is a English model originally trained by Shiva12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_shiva12_wikineural_multilingual_ner_en_5.2.0_3.0_1699283368263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_shiva12_wikineural_multilingual_ner_en_5.2.0_3.0_1699283368263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_shiva12_wikineural_multilingual_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Shiva12/wikineural-multilingual-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_shivanand_wikineural_multilingual_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_shivanand_wikineural_multilingual_ner_en.md
new file mode 100644
index 000000000000..83c8fa9bf6bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_shivanand_wikineural_multilingual_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_shivanand_wikineural_multilingual_ner BertForTokenClassification from Shivanand
+author: John Snow Labs
+name: bert_ner_shivanand_wikineural_multilingual_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_shivanand_wikineural_multilingual_ner` is a English model originally trained by Shivanand.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_shivanand_wikineural_multilingual_ner_en_5.2.0_3.0_1699282400699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_shivanand_wikineural_multilingual_ner_en_5.2.0_3.0_1699282400699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_shivanand_wikineural_multilingual_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Shivanand/wikineural-multilingual-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_shwetabh_wikineural_multilingual_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_shwetabh_wikineural_multilingual_ner_en.md
new file mode 100644
index 000000000000..74d7603f96d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_shwetabh_wikineural_multilingual_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_shwetabh_wikineural_multilingual_ner BertForTokenClassification from Shwetabh
+author: John Snow Labs
+name: bert_ner_shwetabh_wikineural_multilingual_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_shwetabh_wikineural_multilingual_ner` is a English model originally trained by Shwetabh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_shwetabh_wikineural_multilingual_ner_en_5.2.0_3.0_1699280755326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_shwetabh_wikineural_multilingual_ner_en_5.2.0_3.0_1699280755326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_t_202_bert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/T-202/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_temporal_tagger_bert_tokenclassifier_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_temporal_tagger_bert_tokenclassifier_en.md
new file mode 100644
index 000000000000..60afd0b7c6cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_temporal_tagger_bert_tokenclassifier_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_temporal_tagger_bert_tokenclassifier BertForTokenClassification from satyaalmasian
+author: John Snow Labs
+name: bert_ner_temporal_tagger_bert_tokenclassifier
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_temporal_tagger_bert_tokenclassifier` is a English model originally trained by satyaalmasian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_temporal_tagger_bert_tokenclassifier_en_5.2.0_3.0_1699300992865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_temporal_tagger_bert_tokenclassifier_en_5.2.0_3.0_1699300992865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_vikasmani_wikineural_multilingual_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/VikasMani/wikineural-multilingual-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_vikings03_wikineural_multilingual_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_vikings03_wikineural_multilingual_ner_en.md
new file mode 100644
index 000000000000..358e1cb1e06b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_vikings03_wikineural_multilingual_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_vikings03_wikineural_multilingual_ner BertForTokenClassification from Vikings03
+author: John Snow Labs
+name: bert_ner_vikings03_wikineural_multilingual_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_vikings03_wikineural_multilingual_ner` is a English model originally trained by Vikings03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_vikings03_wikineural_multilingual_ner_en_5.2.0_3.0_1699281184123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_vikings03_wikineural_multilingual_ner_en_5.2.0_3.0_1699281184123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_vikings03_wikineural_multilingual_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Vikings03/wikineural-multilingual-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_vinspatel4_wikineural_multilingual_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_vinspatel4_wikineural_multilingual_ner_en.md
new file mode 100644
index 000000000000..00221f89986b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_vinspatel4_wikineural_multilingual_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_vinspatel4_wikineural_multilingual_ner BertForTokenClassification from Vinspatel4
+author: John Snow Labs
+name: bert_ner_vinspatel4_wikineural_multilingual_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_vinspatel4_wikineural_multilingual_ner` is a English model originally trained by Vinspatel4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_vinspatel4_wikineural_multilingual_ner_en_5.2.0_3.0_1699283746553.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_vinspatel4_wikineural_multilingual_ner_en_5.2.0_3.0_1699283746553.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_vinspatel4_wikineural_multilingual_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Vinspatel4/wikineural-multilingual-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wende_bert_finetuned_ner_accelerate_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wende_bert_finetuned_ner_accelerate_en.md
new file mode 100644
index 000000000000..98852b013723
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wende_bert_finetuned_ner_accelerate_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_wende_bert_finetuned_ner_accelerate BertForTokenClassification from Wende
+author: John Snow Labs
+name: bert_ner_wende_bert_finetuned_ner_accelerate
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_wende_bert_finetuned_ner_accelerate` is a English model originally trained by Wende.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_wende_bert_finetuned_ner_accelerate_en_5.2.0_3.0_1699281831344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_wende_bert_finetuned_ner_accelerate_en_5.2.0_3.0_1699281831344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_wende_bert_finetuned_ner_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Wende/bert-finetuned-ner-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wende_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wende_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..22cd78142ac9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wende_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_wende_bert_finetuned_ner BertForTokenClassification from Wende
+author: John Snow Labs
+name: bert_ner_wende_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_wende_bert_finetuned_ner` is a English model originally trained by Wende.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_wende_bert_finetuned_ner_en_5.2.0_3.0_1699284307641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_wende_bert_finetuned_ner_en_5.2.0_3.0_1699284307641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_wlt_biobert_ncbi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/WLT-BioBERT-NCBI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_bluebert_linnaeus_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_bluebert_linnaeus_en.md
new file mode 100644
index 000000000000..ff2ac9e0cec4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_bluebert_linnaeus_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_wlt_bluebert_linnaeus BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_wlt_bluebert_linnaeus
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_wlt_bluebert_linnaeus` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_bluebert_linnaeus_en_5.2.0_3.0_1699282592351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_bluebert_linnaeus_en_5.2.0_3.0_1699282592351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_wlt_bluebert_linnaeus|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/WLT-BlueBERT-Linnaeus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_bluebert_ncbi_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_bluebert_ncbi_en.md
new file mode 100644
index 000000000000..f618f767685d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_bluebert_ncbi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_wlt_bluebert_ncbi BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_wlt_bluebert_ncbi
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_wlt_bluebert_ncbi` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_bluebert_ncbi_en_5.2.0_3.0_1699282747580.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_bluebert_ncbi_en_5.2.0_3.0_1699282747580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_wlt_bluebert_ncbi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/WLT-BlueBERT-NCBI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_pubmedbert_bc2gm_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_pubmedbert_bc2gm_en.md
new file mode 100644
index 000000000000..899299ba2476
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_pubmedbert_bc2gm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_wlt_pubmedbert_bc2gm BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_wlt_pubmedbert_bc2gm
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_wlt_pubmedbert_bc2gm` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_pubmedbert_bc2gm_en_5.2.0_3.0_1699282961159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_pubmedbert_bc2gm_en_5.2.0_3.0_1699282961159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_wlt_pubmedbert_bc2gm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/WLT-PubMedBERT-BC2GM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_pubmedbert_linnaeus_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_pubmedbert_linnaeus_en.md
new file mode 100644
index 000000000000..67dc0b76ca7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_pubmedbert_linnaeus_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_wlt_pubmedbert_linnaeus BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_wlt_pubmedbert_linnaeus
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_wlt_pubmedbert_linnaeus` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_pubmedbert_linnaeus_en_5.2.0_3.0_1699281617182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_pubmedbert_linnaeus_en_5.2.0_3.0_1699281617182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_wlt_pubmedbert_linnaeus|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/WLT-PubMedBERT-Linnaeus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_scibert_bc2gm_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_scibert_bc2gm_en.md
new file mode 100644
index 000000000000..7c917957d558
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_scibert_bc2gm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_wlt_scibert_bc2gm BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_wlt_scibert_bc2gm
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_wlt_scibert_bc2gm` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_scibert_bc2gm_en_5.2.0_3.0_1699283938910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_scibert_bc2gm_en_5.2.0_3.0_1699283938910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_wlt_scibert_bc2gm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/WLT-SciBERT-BC2GM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_scibert_linnaeus_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_scibert_linnaeus_en.md
new file mode 100644
index 000000000000..55896db7f0e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_wlt_scibert_linnaeus_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_wlt_scibert_linnaeus BertForTokenClassification from ghadeermobasher
+author: John Snow Labs
+name: bert_ner_wlt_scibert_linnaeus
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_wlt_scibert_linnaeus` is a English model originally trained by ghadeermobasher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_scibert_linnaeus_en_5.2.0_3.0_1699284109584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_wlt_scibert_linnaeus_en_5.2.0_3.0_1699284109584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_wlt_scibert_linnaeus|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ghadeermobasher/WLT-SciBERT-Linnaeus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_xesaad_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_xesaad_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..6c56a92b105d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_xesaad_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_xesaad_bert_finetuned_ner BertForTokenClassification from XeSaad
+author: John Snow Labs
+name: bert_ner_xesaad_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_xesaad_bert_finetuned_ner` is a English model originally trained by XeSaad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_xesaad_bert_finetuned_ner_en_5.2.0_3.0_1699283195120.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_xesaad_bert_finetuned_ner_en_5.2.0_3.0_1699283195120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_yv_bert_finetuned_ner_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Yv/bert-finetuned-ner-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_yv_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_yv_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..68be942356ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_yv_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_yv_bert_finetuned_ner BertForTokenClassification from Yv
+author: John Snow Labs
+name: bert_ner_yv_bert_finetuned_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_yv_bert_finetuned_ner` is a English model originally trained by Yv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_yv_bert_finetuned_ner_en_5.2.0_3.0_1699282015925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_yv_bert_finetuned_ner_en_5.2.0_3.0_1699282015925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_yv_bert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Yv/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_ner_zainab18_wikineural_multilingual_ner_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_zainab18_wikineural_multilingual_ner_en.md
new file mode 100644
index 000000000000..edda7c751eb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_ner_zainab18_wikineural_multilingual_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_zainab18_wikineural_multilingual_ner BertForTokenClassification from Zainab18
+author: John Snow Labs
+name: bert_ner_zainab18_wikineural_multilingual_ner
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_zainab18_wikineural_multilingual_ner` is a English model originally trained by Zainab18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_zainab18_wikineural_multilingual_ner_en_5.2.0_3.0_1699284632273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_zainab18_wikineural_multilingual_ner_en_5.2.0_3.0_1699284632273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_zainab18_wikineural_multilingual_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Zainab18/wikineural-multilingual-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_13.05.2022.ssccvspantagger_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_13.05.2022.ssccvspantagger_en.md
new file mode 100644
index 000000000000..3d5d4453365d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_13.05.2022.ssccvspantagger_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_13.05.2022.ssccvspantagger BertForTokenClassification from RJ3vans
+author: John Snow Labs
+name: bert_sayula_popoluca_13.05.2022.ssccvspantagger
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_13.05.2022.ssccvspantagger` is a English model originally trained by RJ3vans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_13.05.2022.ssccvspantagger_en_5.2.0_3.0_1699296736661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_13.05.2022.ssccvspantagger_en_5.2.0_3.0_1699296736661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_13.05.2022.ssccvspantagger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/RJ3vans/13.05.2022.SSCCVspanTagger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_4l_weight_decay_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_4l_weight_decay_en.md
new file mode 100644
index 000000000000..b4822704c3ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_4l_weight_decay_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_4l_weight_decay BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_4l_weight_decay
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_4l_weight_decay` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_4l_weight_decay_en_5.2.0_3.0_1699301742751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_4l_weight_decay_en_5.2.0_3.0_1699301742751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_4l_weight_decay|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/4L_weight_decay
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_amhariccacopostag_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_amhariccacopostag_en.md
new file mode 100644
index 000000000000..06b024535fb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_amhariccacopostag_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_amhariccacopostag BertForTokenClassification from mitiku
+author: John Snow Labs
+name: bert_sayula_popoluca_amhariccacopostag
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_amhariccacopostag` is a English model originally trained by mitiku.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_amhariccacopostag_en_5.2.0_3.0_1699298884730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_amhariccacopostag_en_5.2.0_3.0_1699298884730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_amhariccacopostag|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/mitiku/AmharicCacoPostag
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_amharicwicpostag10tags_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_amharicwicpostag10tags_en.md
new file mode 100644
index 000000000000..e74343b3bdcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_amharicwicpostag10tags_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_amharicwicpostag10tags BertForTokenClassification from mitiku
+author: John Snow Labs
+name: bert_sayula_popoluca_amharicwicpostag10tags
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_amharicwicpostag10tags` is a English model originally trained by mitiku.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_amharicwicpostag10tags_en_5.2.0_3.0_1699299256671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_amharicwicpostag10tags_en_5.2.0_3.0_1699299256671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_amharicwicpostag10tags|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/mitiku/AmharicWICPostag10Tags
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_amharicwicpostag_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_amharicwicpostag_en.md
new file mode 100644
index 000000000000..1da102d37b94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_amharicwicpostag_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_amharicwicpostag BertForTokenClassification from mitiku
+author: John Snow Labs
+name: bert_sayula_popoluca_amharicwicpostag
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_amharicwicpostag` is a English model originally trained by mitiku.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_amharicwicpostag_en_5.2.0_3.0_1699299094755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_amharicwicpostag_en_5.2.0_3.0_1699299094755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_base_arabic_camelbert_msa_sayula_popoluca_msa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|ar|
+|Size:|406.4 MB|
+
+## References
+
+https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-msa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_cased_ccg_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_cased_ccg_en.md
new file mode 100644
index 000000000000..b259c7f79f3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_cased_ccg_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bert_base_cased_ccg BertForTokenClassification from QCRI
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_base_cased_ccg
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_base_cased_ccg` is a English model originally trained by QCRI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_cased_ccg_en_5.2.0_3.0_1699300808412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_cased_ccg_en_5.2.0_3.0_1699300808412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_base_cased_ccg|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.5 MB|
+
+## References
+
+https://huggingface.co/QCRI/bert-base-cased-ccg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_cased_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_cased_sayula_popoluca_en.md
new file mode 100644
index 000000000000..ae10439e9a57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_cased_sayula_popoluca_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bert_base_cased_sayula_popoluca BertForTokenClassification from QCRI
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_base_cased_sayula_popoluca
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_base_cased_sayula_popoluca` is a English model originally trained by QCRI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_cased_sayula_popoluca_en_5.2.0_3.0_1699303128065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_cased_sayula_popoluca_en_5.2.0_3.0_1699303128065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_base_dutch_cased_upos_alpino|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|nl|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/GroNLP/bert-base-dutch-cased-upos-alpino
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_german_upos_de.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_german_upos_de.md
new file mode 100644
index 000000000000..bb1c45383b66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_german_upos_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German bert_sayula_popoluca_bert_base_german_upos BertForTokenClassification from KoichiYasuoka
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_base_german_upos
+date: 2023-11-06
+tags: [bert, de, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_base_german_upos` is a German model originally trained by KoichiYasuoka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_german_upos_de_5.2.0_3.0_1699300997630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_german_upos_de_5.2.0_3.0_1699300997630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_base_german_upos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/KoichiYasuoka/bert-base-german-upos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_japanese_luw_upos_ja.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_japanese_luw_upos_ja.md
new file mode 100644
index 000000000000..8d680af6cf76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_japanese_luw_upos_ja.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Japanese bert_sayula_popoluca_bert_base_japanese_luw_upos BertForTokenClassification from KoichiYasuoka
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_base_japanese_luw_upos
+date: 2023-11-06
+tags: [bert, ja, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: ja
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_base_japanese_luw_upos` is a Japanese model originally trained by KoichiYasuoka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_japanese_luw_upos_ja_5.2.0_3.0_1699298148873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_japanese_luw_upos_ja_5.2.0_3.0_1699298148873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_base_japanese_luw_upos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|ja|
+|Size:|338.3 MB|
+
+## References
+
+https://huggingface.co/KoichiYasuoka/bert-base-japanese-luw-upos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_japanese_upos_ja.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_japanese_upos_ja.md
new file mode 100644
index 000000000000..910c351d1369
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_japanese_upos_ja.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Japanese bert_sayula_popoluca_bert_base_japanese_upos BertForTokenClassification from KoichiYasuoka
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_base_japanese_upos
+date: 2023-11-06
+tags: [bert, ja, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: ja
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_base_japanese_upos` is a Japanese model originally trained by KoichiYasuoka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_japanese_upos_ja_5.2.0_3.0_1699303064211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_japanese_upos_ja_5.2.0_3.0_1699303064211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_base_japanese_upos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|ja|
+|Size:|338.2 MB|
+
+## References
+
+https://huggingface.co/KoichiYasuoka/bert-base-japanese-upos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_multilingual_cased_chunking_english_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_multilingual_cased_chunking_english_en.md
new file mode 100644
index 000000000000..ae9b2fc97208
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_multilingual_cased_chunking_english_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bert_base_multilingual_cased_chunking_english BertForTokenClassification from QCRI
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_base_multilingual_cased_chunking_english
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_base_multilingual_cased_chunking_english` is a English model originally trained by QCRI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_multilingual_cased_chunking_english_en_5.2.0_3.0_1699298384330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_multilingual_cased_chunking_english_en_5.2.0_3.0_1699298384330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_base_multilingual_cased_chunking_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/QCRI/bert-base-multilingual-cased-chunking-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_multilingual_cased_sayula_popoluca_english_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_multilingual_cased_sayula_popoluca_english_en.md
new file mode 100644
index 000000000000..e31c741d2650
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_base_multilingual_cased_sayula_popoluca_english_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bert_base_multilingual_cased_sayula_popoluca_english BertForTokenClassification from QCRI
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_base_multilingual_cased_sayula_popoluca_english
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_base_multilingual_cased_sayula_popoluca_english` is a English model originally trained by QCRI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_multilingual_cased_sayula_popoluca_english_en_5.2.0_3.0_1699303340728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_base_multilingual_cased_sayula_popoluca_english_en_5.2.0_3.0_1699303340728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_base_thai_upos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|th|
+|Size:|345.3 MB|
+
+## References
+
+https://huggingface.co/KoichiYasuoka/bert-base-thai-upos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_english_uncased_finetuned_chunk_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_english_uncased_finetuned_chunk_en.md
new file mode 100644
index 000000000000..2e604f2d541c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_english_uncased_finetuned_chunk_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bert_english_uncased_finetuned_chunk BertForTokenClassification from vblagoje
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_english_uncased_finetuned_chunk
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_english_uncased_finetuned_chunk` is a English model originally trained by vblagoje.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_english_uncased_finetuned_chunk_en_5.2.0_3.0_1699298884738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_english_uncased_finetuned_chunk_en_5.2.0_3.0_1699298884738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_english_uncased_finetuned_chunk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/vblagoje/bert-english-uncased-finetuned-chunk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_english_uncased_finetuned_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_english_uncased_finetuned_sayula_popoluca_en.md
new file mode 100644
index 000000000000..39d268736721
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_english_uncased_finetuned_sayula_popoluca_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bert_english_uncased_finetuned_sayula_popoluca BertForTokenClassification from vblagoje
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_english_uncased_finetuned_sayula_popoluca
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_english_uncased_finetuned_sayula_popoluca` is a English model originally trained by vblagoje.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_english_uncased_finetuned_sayula_popoluca_en_5.2.0_3.0_1699304061872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_english_uncased_finetuned_sayula_popoluca_en_5.2.0_3.0_1699304061872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_english_uncased_finetuned_sayula_popoluca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/vblagoje/bert-english-uncased-finetuned-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_finetuned_conll2003_pos_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_finetuned_conll2003_pos_en.md
new file mode 100644
index 000000000000..4e5e694ce4f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_finetuned_conll2003_pos_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bert_finetuned_conll2003_pos BertForTokenClassification from Tahsin
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_finetuned_conll2003_pos
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_finetuned_conll2003_pos` is a English model originally trained by Tahsin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_finetuned_conll2003_pos_en_5.2.0_3.0_1699301917061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_finetuned_conll2003_pos_en_5.2.0_3.0_1699301917061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_finetuned_conll2003_pos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.8 MB|
+
+## References
+
+https://huggingface.co/Tahsin/BERT-finetuned-conll2003-POS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_finetuned_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_finetuned_sayula_popoluca_en.md
new file mode 100644
index 000000000000..f4d8320af733
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_finetuned_sayula_popoluca_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bert_finetuned_sayula_popoluca BertForTokenClassification from Fredvv
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_finetuned_sayula_popoluca
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_finetuned_sayula_popoluca` is a English model originally trained by Fredvv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_finetuned_sayula_popoluca_en_5.2.0_3.0_1699303573296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_finetuned_sayula_popoluca_en_5.2.0_3.0_1699303573296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_finetuned_sayula_popoluca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Fredvv/bert-finetuned-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_italian_cased_finetuned_sayula_popoluca_it.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_italian_cased_finetuned_sayula_popoluca_it.md
new file mode 100644
index 000000000000..e9a4c032f2ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_italian_cased_finetuned_sayula_popoluca_it.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Italian bert_sayula_popoluca_bert_italian_cased_finetuned_sayula_popoluca BertForTokenClassification from sachaarbonel
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_italian_cased_finetuned_sayula_popoluca
+date: 2023-11-06
+tags: [bert, it, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: it
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_italian_cased_finetuned_sayula_popoluca` is a Italian model originally trained by sachaarbonel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_italian_cased_finetuned_sayula_popoluca_it_5.2.0_3.0_1699299194965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_italian_cased_finetuned_sayula_popoluca_it_5.2.0_3.0_1699299194965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_italian_cased_finetuned_sayula_popoluca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|it|
+|Size:|409.8 MB|
+
+## References
+
+https://huggingface.co/sachaarbonel/bert-italian-cased-finetuned-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_large_german_upos_de.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_large_german_upos_de.md
new file mode 100644
index 000000000000..51aeab9d7f5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_large_german_upos_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German bert_sayula_popoluca_bert_large_german_upos BertForTokenClassification from KoichiYasuoka
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_large_german_upos
+date: 2023-11-06
+tags: [bert, de, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_large_german_upos` is a German model originally trained by KoichiYasuoka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_large_german_upos_de_5.2.0_3.0_1699303896635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_large_german_upos_de_5.2.0_3.0_1699303896635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_large_german_upos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/KoichiYasuoka/bert-large-german-upos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_large_japanese_luw_upos_ja.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_large_japanese_luw_upos_ja.md
new file mode 100644
index 000000000000..1e1a8a364344
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_large_japanese_luw_upos_ja.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Japanese bert_sayula_popoluca_bert_large_japanese_luw_upos BertForTokenClassification from KoichiYasuoka
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_large_japanese_luw_upos
+date: 2023-11-06
+tags: [bert, ja, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: ja
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_large_japanese_luw_upos` is a Japanese model originally trained by KoichiYasuoka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_large_japanese_luw_upos_ja_5.2.0_3.0_1699299518567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_large_japanese_luw_upos_ja_5.2.0_3.0_1699299518567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_large_japanese_luw_upos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|ja|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/KoichiYasuoka/bert-large-japanese-luw-upos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_large_japanese_upos_ja.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_large_japanese_upos_ja.md
new file mode 100644
index 000000000000..6dee7380b9cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_large_japanese_upos_ja.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Japanese bert_sayula_popoluca_bert_large_japanese_upos BertForTokenClassification from KoichiYasuoka
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_large_japanese_upos
+date: 2023-11-06
+tags: [bert, ja, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: ja
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_large_japanese_upos` is a Japanese model originally trained by KoichiYasuoka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_large_japanese_upos_ja_5.2.0_3.0_1699301302690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_large_japanese_upos_ja_5.2.0_3.0_1699301302690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_punct_restoration_danish_alvenir|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|da|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/Alvenir/bert-punct-restoration-da
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_punct_restoration_english_alvenir_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_punct_restoration_english_alvenir_en.md
new file mode 100644
index 000000000000..722f500a03fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_punct_restoration_english_alvenir_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bert_punct_restoration_english_alvenir BertForTokenClassification from Alvenir
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_punct_restoration_english_alvenir
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_punct_restoration_english_alvenir` is a English model originally trained by Alvenir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_punct_restoration_english_alvenir_en_5.2.0_3.0_1699304261004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_punct_restoration_english_alvenir_en_5.2.0_3.0_1699304261004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_punct_restoration_english_alvenir|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Alvenir/bert-punct-restoration-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_punct_restoration_german_alvenir_de.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_punct_restoration_german_alvenir_de.md
new file mode 100644
index 000000000000..2165d37f6053
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_punct_restoration_german_alvenir_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German bert_sayula_popoluca_bert_punct_restoration_german_alvenir BertForTokenClassification from Alvenir
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_punct_restoration_german_alvenir
+date: 2023-11-06
+tags: [bert, de, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_punct_restoration_german_alvenir` is a German model originally trained by Alvenir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_punct_restoration_german_alvenir_de_5.2.0_3.0_1699300067718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_punct_restoration_german_alvenir_de_5.2.0_3.0_1699300067718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_punct_restoration_german_alvenir|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|409.8 MB|
+
+## References
+
+https://huggingface.co/Alvenir/bert-punct-restoration-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_sayula_popoluca_cased_deepfrog_nld_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_sayula_popoluca_cased_deepfrog_nld_en.md
new file mode 100644
index 000000000000..f64d131e3ac7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bert_sayula_popoluca_cased_deepfrog_nld_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bert_sayula_popoluca_cased_deepfrog_nld BertForTokenClassification from proycon
+author: John Snow Labs
+name: bert_sayula_popoluca_bert_sayula_popoluca_cased_deepfrog_nld
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bert_sayula_popoluca_cased_deepfrog_nld` is a English model originally trained by proycon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_sayula_popoluca_cased_deepfrog_nld_en_5.2.0_3.0_1699304108856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bert_sayula_popoluca_cased_deepfrog_nld_en_5.2.0_3.0_1699304108856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bert_tiny_chinese_sayula_popoluca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|zh|
+|Size:|43.1 MB|
+
+## References
+
+https://huggingface.co/ckiplab/bert-tiny-chinese-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate2_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate2_en.md
new file mode 100644
index 000000000000..01d8f1e3d092
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate2 BertForTokenClassification from Deborah
+author: John Snow Labs
+name: bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate2
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate2` is a English model originally trained by Deborah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate2_en_5.2.0_3.0_1699303981929.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate2_en_5.2.0_3.0_1699303981929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/Deborah/bertimbau-finetuned-pos-accelerate2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate3_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate3_en.md
new file mode 100644
index 000000000000..48989754e1f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate3 BertForTokenClassification from Deborah
+author: John Snow Labs
+name: bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate3
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate3` is a English model originally trained by Deborah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate3_en_5.2.0_3.0_1699304416492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate3_en_5.2.0_3.0_1699304416492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/Deborah/bertimbau-finetuned-pos-accelerate3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_5_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_5_en.md
new file mode 100644
index 000000000000..219f42c99ab4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_5 BertForTokenClassification from camilag
+author: John Snow Labs
+name: bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_5
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_5` is a English model originally trained by camilag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_5_en_5.2.0_3.0_1699304172382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_5_en_5.2.0_3.0_1699304172382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/camilag/bertimbau-finetuned-pos-accelerate-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_6_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_6_en.md
new file mode 100644
index 000000000000..946ef05b474e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_6_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_6 BertForTokenClassification from camilag
+author: John Snow Labs
+name: bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_6
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_6` is a English model originally trained by camilag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_6_en_5.2.0_3.0_1699304601450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_6_en_5.2.0_3.0_1699304601450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/camilag/bertimbau-finetuned-pos-accelerate-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_7_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_7_en.md
new file mode 100644
index 000000000000..51b7db2ac401
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_7_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_7 BertForTokenClassification from camilag
+author: John Snow Labs
+name: bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_7
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_7` is a English model originally trained by camilag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_7_en_5.2.0_3.0_1699304708381.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_7_en_5.2.0_3.0_1699304708381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/camilag/bertimbau-finetuned-pos-accelerate-7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_en.md
new file mode 100644
index 000000000000..bdc92ea86003
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate BertForTokenClassification from Deborah
+author: John Snow Labs
+name: bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate` is a English model originally trained by Deborah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_en_5.2.0_3.0_1699304519838.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate_en_5.2.0_3.0_1699304519838.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_bertimbau_finetuned_sayula_popoluca_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/Deborah/bertimbau-finetuned-pos-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_ccvspantagger_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_ccvspantagger_en.md
new file mode 100644
index 000000000000..500bf7071655
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_ccvspantagger_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_ccvspantagger BertForTokenClassification from RJ3vans
+author: John Snow Labs
+name: bert_sayula_popoluca_ccvspantagger
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_ccvspantagger` is a English model originally trained by RJ3vans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_ccvspantagger_en_5.2.0_3.0_1699302072883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_ccvspantagger_en_5.2.0_3.0_1699302072883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_chinese_roberta_large_upos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|zh|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/KoichiYasuoka/chinese-roberta-large-upos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_clnspantagger_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_clnspantagger_en.md
new file mode 100644
index 000000000000..c8ed41a6bccf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_clnspantagger_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_clnspantagger BertForTokenClassification from RJ3vans
+author: John Snow Labs
+name: bert_sayula_popoluca_clnspantagger
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_clnspantagger` is a English model originally trained by RJ3vans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_clnspantagger_en_5.2.0_3.0_1699299582578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_clnspantagger_en_5.2.0_3.0_1699299582578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_clnspantagger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/RJ3vans/CLNspanTagger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_cmn1spantagger_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_cmn1spantagger_en.md
new file mode 100644
index 000000000000..389cf7ebf5b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_cmn1spantagger_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_cmn1spantagger BertForTokenClassification from RJ3vans
+author: John Snow Labs
+name: bert_sayula_popoluca_cmn1spantagger
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_cmn1spantagger` is a English model originally trained by RJ3vans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_cmn1spantagger_en_5.2.0_3.0_1699302391956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_cmn1spantagger_en_5.2.0_3.0_1699302391956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_cmn1spantagger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/RJ3vans/CMN1spanTagger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_cmv1spantagger_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_cmv1spantagger_en.md
new file mode 100644
index 000000000000..790470970456
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_cmv1spantagger_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_cmv1spantagger BertForTokenClassification from RJ3vans
+author: John Snow Labs
+name: bert_sayula_popoluca_cmv1spantagger
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_cmv1spantagger` is a English model originally trained by RJ3vans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_cmv1spantagger_en_5.2.0_3.0_1699297054050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_cmv1spantagger_en_5.2.0_3.0_1699297054050.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_cmv1spantagger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/RJ3vans/CMV1spanTagger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_codeswitch_hineng_sayula_popoluca_lince_hi.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_codeswitch_hineng_sayula_popoluca_lince_hi.md
new file mode 100644
index 000000000000..2516c992015d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_codeswitch_hineng_sayula_popoluca_lince_hi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Hindi bert_sayula_popoluca_codeswitch_hineng_sayula_popoluca_lince BertForTokenClassification from sagorsarker
+author: John Snow Labs
+name: bert_sayula_popoluca_codeswitch_hineng_sayula_popoluca_lince
+date: 2023-11-06
+tags: [bert, hi, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: hi
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_codeswitch_hineng_sayula_popoluca_lince` is a Hindi model originally trained by sagorsarker.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_codeswitch_hineng_sayula_popoluca_lince_hi_5.2.0_3.0_1699302088739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_codeswitch_hineng_sayula_popoluca_lince_hi_5.2.0_3.0_1699302088739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_codeswitch_hineng_sayula_popoluca_lince|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|hi|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/sagorsarker/codeswitch-hineng-pos-lince
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_codeswitch_spaeng_sayula_popoluca_lince_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_codeswitch_spaeng_sayula_popoluca_lince_en.md
new file mode 100644
index 000000000000..83cc14082f86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_codeswitch_spaeng_sayula_popoluca_lince_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_codeswitch_spaeng_sayula_popoluca_lince BertForTokenClassification from sagorsarker
+author: John Snow Labs
+name: bert_sayula_popoluca_codeswitch_spaeng_sayula_popoluca_lince
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_codeswitch_spaeng_sayula_popoluca_lince` is a English model originally trained by sagorsarker.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_codeswitch_spaeng_sayula_popoluca_lince_en_5.2.0_3.0_1699307513091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_codeswitch_spaeng_sayula_popoluca_lince_en_5.2.0_3.0_1699307513091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_codeswitch_spaeng_sayula_popoluca_lince|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/sagorsarker/codeswitch-spaeng-pos-lince
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_estbert_upos_128_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_estbert_upos_128_en.md
new file mode 100644
index 000000000000..ace88f84084e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_estbert_upos_128_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_estbert_upos_128 BertForTokenClassification from tartuNLP
+author: John Snow Labs
+name: bert_sayula_popoluca_estbert_upos_128
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_estbert_upos_128` is a English model originally trained by tartuNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_estbert_upos_128_en_5.2.0_3.0_1699299768492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_estbert_upos_128_en_5.2.0_3.0_1699299768492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_estbert_upos_128|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|463.5 MB|
+
+## References
+
+https://huggingface.co/tartuNLP/EstBERT_UPOS_128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_mbert_grammatical_error_tagger_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_mbert_grammatical_error_tagger_en.md
new file mode 100644
index 000000000000..59ad87bdce9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_mbert_grammatical_error_tagger_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_mbert_grammatical_error_tagger BertForTokenClassification from alice-hml
+author: John Snow Labs
+name: bert_sayula_popoluca_mbert_grammatical_error_tagger
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_mbert_grammatical_error_tagger` is a English model originally trained by alice-hml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_mbert_grammatical_error_tagger_en_5.2.0_3.0_1699309288172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_mbert_grammatical_error_tagger_en_5.2.0_3.0_1699309288172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_mbert_grammatical_error_tagger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/alice-hml/mBERT_grammatical_error_tagger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_parsbert_finetuned_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_parsbert_finetuned_sayula_popoluca_en.md
new file mode 100644
index 000000000000..8786036f1d7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_parsbert_finetuned_sayula_popoluca_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_parsbert_finetuned_sayula_popoluca BertForTokenClassification from sepidmnorozy
+author: John Snow Labs
+name: bert_sayula_popoluca_parsbert_finetuned_sayula_popoluca
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_parsbert_finetuned_sayula_popoluca` is a English model originally trained by sepidmnorozy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_parsbert_finetuned_sayula_popoluca_en_5.2.0_3.0_1699306247944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_parsbert_finetuned_sayula_popoluca_en_5.2.0_3.0_1699306247944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_parsbert_finetuned_sayula_popoluca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|606.5 MB|
+
+## References
+
+https://huggingface.co/sepidmnorozy/parsbert-finetuned-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_signtagger_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_signtagger_en.md
new file mode 100644
index 000000000000..d9354a830dfe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_signtagger_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_signtagger BertForTokenClassification from RJ3vans
+author: John Snow Labs
+name: bert_sayula_popoluca_signtagger
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_signtagger` is a English model originally trained by RJ3vans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_signtagger_en_5.2.0_3.0_1699302420746.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_signtagger_en_5.2.0_3.0_1699302420746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_signtagger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/RJ3vans/SignTagger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_ssccvspantagger_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_ssccvspantagger_en.md
new file mode 100644
index 000000000000..d499b8840258
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_ssccvspantagger_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_ssccvspantagger BertForTokenClassification from RJ3vans
+author: John Snow Labs
+name: bert_sayula_popoluca_ssccvspantagger
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_ssccvspantagger` is a English model originally trained by RJ3vans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_ssccvspantagger_en_5.2.0_3.0_1699300095426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_ssccvspantagger_en_5.2.0_3.0_1699300095426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_ssccvspantagger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/RJ3vans/SSCCVspanTagger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tahitian_punctuator_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tahitian_punctuator_en.md
new file mode 100644
index 000000000000..fa745c8d203c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tahitian_punctuator_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tahitian_punctuator BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tahitian_punctuator
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tahitian_punctuator` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tahitian_punctuator_en_5.2.0_3.0_1699302308368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tahitian_punctuator_en_5.2.0_3.0_1699302308368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tahitian_punctuator|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/kktoto/ty_punctuator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tetra_tag_english_kitaev_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tetra_tag_english_kitaev_en.md
new file mode 100644
index 000000000000..25c77c048338
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tetra_tag_english_kitaev_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tetra_tag_english_kitaev BertForTokenClassification from kitaev
+author: John Snow Labs
+name: bert_sayula_popoluca_tetra_tag_english_kitaev
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tetra_tag_english_kitaev` is a English model originally trained by kitaev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tetra_tag_english_kitaev_en_5.2.0_3.0_1699300423265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tetra_tag_english_kitaev_en_5.2.0_3.0_1699300423265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tetra_tag_english_kitaev|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/kitaev/tetra-tag-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_bb_wd_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_bb_wd_en.md
new file mode 100644
index 000000000000..b39d0d724fb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_bb_wd_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tiny_bb_wd BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tiny_bb_wd
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tiny_bb_wd` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_bb_wd_en_5.2.0_3.0_1699300563685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_bb_wd_en_5.2.0_3.0_1699300563685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tiny_bb_wd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/tiny_bb_wd
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_alpah75_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_alpah75_en.md
new file mode 100644
index 000000000000..7cfdb2751693
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_alpah75_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tiny_focal_alpah75 BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tiny_focal_alpah75
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tiny_focal_alpah75` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_focal_alpah75_en_5.2.0_3.0_1699304352550.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_focal_alpah75_en_5.2.0_3.0_1699304352550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tiny_focal_alpah75|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/tiny_focal_alpah75
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_alpah_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_alpah_en.md
new file mode 100644
index 000000000000..416c053b4a47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_alpah_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tiny_focal_alpah BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tiny_focal_alpah
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tiny_focal_alpah` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_focal_alpah_en_5.2.0_3.0_1699310254283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_focal_alpah_en_5.2.0_3.0_1699310254283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tiny_focal_alpah|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/tiny_focal_alpah
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_ckpt_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_ckpt_en.md
new file mode 100644
index 000000000000..8389c50a94e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_ckpt_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tiny_focal_ckpt BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tiny_focal_ckpt
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tiny_focal_ckpt` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_focal_ckpt_en_5.2.0_3.0_1699311196571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_focal_ckpt_en_5.2.0_3.0_1699311196571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tiny_focal_ckpt|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/tiny_focal_ckpt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_v2_label_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_v2_label_en.md
new file mode 100644
index 000000000000..d0a11d16e166
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_v2_label_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tiny_focal_v2_label BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tiny_focal_v2_label
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tiny_focal_v2_label` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_focal_v2_label_en_5.2.0_3.0_1699312620695.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_focal_v2_label_en_5.2.0_3.0_1699312620695.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tiny_focal_v2_label|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/tiny_focal_v2_label
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_v3_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_v3_en.md
new file mode 100644
index 000000000000..0a135dd93bd2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_focal_v3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tiny_focal_v3 BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tiny_focal_v3
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tiny_focal_v3` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_focal_v3_en_5.2.0_3.0_1699313528503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_focal_v3_en_5.2.0_3.0_1699313528503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tiny_focal_v3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/tiny_focal_v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_kt_punctuator_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_kt_punctuator_en.md
new file mode 100644
index 000000000000..bf1e9cb9a5ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_kt_punctuator_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tiny_kt_punctuator BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tiny_kt_punctuator
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tiny_kt_punctuator` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_kt_punctuator_en_5.2.0_3.0_1699307175877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_kt_punctuator_en_5.2.0_3.0_1699307175877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tiny_kt_punctuator|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/tiny_kt_punctuator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_ktoto_punctuator_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_ktoto_punctuator_en.md
new file mode 100644
index 000000000000..124137514ae9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_ktoto_punctuator_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tiny_ktoto_punctuator BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tiny_ktoto_punctuator
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tiny_ktoto_punctuator` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_ktoto_punctuator_en_5.2.0_3.0_1699304453526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_ktoto_punctuator_en_5.2.0_3.0_1699304453526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tiny_ktoto_punctuator|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/tiny_ktoto_punctuator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_lr_kazakh_kktoto_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_lr_kazakh_kktoto_en.md
new file mode 100644
index 000000000000..49bc45967fe5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_lr_kazakh_kktoto_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tiny_lr_kazakh_kktoto BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tiny_lr_kazakh_kktoto
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tiny_lr_kazakh_kktoto` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_lr_kazakh_kktoto_en_5.2.0_3.0_1699300652184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_lr_kazakh_kktoto_en_5.2.0_3.0_1699300652184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tiny_lr_kazakh_kktoto|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/tiny_lr_kk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_norwegian_focal_v2_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_norwegian_focal_v2_en.md
new file mode 100644
index 000000000000..36e3acb1f64c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_norwegian_focal_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tiny_norwegian_focal_v2 BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tiny_norwegian_focal_v2
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tiny_norwegian_focal_v2` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_norwegian_focal_v2_en_5.2.0_3.0_1699300739842.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_norwegian_focal_v2_en_5.2.0_3.0_1699300739842.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tiny_norwegian_focal_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/tiny_no_focal_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_toto_punctuator_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_toto_punctuator_en.md
new file mode 100644
index 000000000000..f3a4edf0d05a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_tiny_toto_punctuator_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_tiny_toto_punctuator BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_tiny_toto_punctuator
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_tiny_toto_punctuator` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_toto_punctuator_en_5.2.0_3.0_1699307918818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_tiny_toto_punctuator_en_5.2.0_3.0_1699307918818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_tiny_toto_punctuator|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|42.7 MB|
+
+## References
+
+https://huggingface.co/kktoto/tiny_toto_punctuator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_turkish_kongo_sayula_popoluca_conllu_bert_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_turkish_kongo_sayula_popoluca_conllu_bert_en.md
new file mode 100644
index 000000000000..73d84ad4db56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_turkish_kongo_sayula_popoluca_conllu_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_turkish_kongo_sayula_popoluca_conllu_bert BertForTokenClassification from mustafabaris
+author: John Snow Labs
+name: bert_sayula_popoluca_turkish_kongo_sayula_popoluca_conllu_bert
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_turkish_kongo_sayula_popoluca_conllu_bert` is a English model originally trained by mustafabaris.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_turkish_kongo_sayula_popoluca_conllu_bert_en_5.2.0_3.0_1699304689691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_turkish_kongo_sayula_popoluca_conllu_bert_en_5.2.0_3.0_1699304689691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sayula_popoluca_turkish_kongo_sayula_popoluca_conllu_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|689.0 MB|
+
+## References
+
+https://huggingface.co/mustafabaris/tr_kg_pos_conllu_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_wwdd_tiny_en.md b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_wwdd_tiny_en.md
new file mode 100644
index 000000000000..d4c03d50d23c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-bert_sayula_popoluca_wwdd_tiny_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_sayula_popoluca_wwdd_tiny BertForTokenClassification from kktoto
+author: John Snow Labs
+name: bert_sayula_popoluca_wwdd_tiny
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sayula_popoluca_wwdd_tiny` is a English model originally trained by kktoto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_wwdd_tiny_en_5.2.0_3.0_1699308782051.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sayula_popoluca_wwdd_tiny_en_5.2.0_3.0_1699308782051.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jobbert_knowledge_extraction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|402.2 MB|
+
+## References
+
+https://huggingface.co/jjzha/jobbert_knowledge_extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-jobbert_skill_extraction_en.md b/docs/_posts/ahmedlone127/2023-11-06-jobbert_skill_extraction_en.md
new file mode 100644
index 000000000000..f5cbcfe3141c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-jobbert_skill_extraction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English jobbert_skill_extraction BertForTokenClassification from jjzha
+author: John Snow Labs
+name: jobbert_skill_extraction
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jobbert_skill_extraction` is a English model originally trained by jjzha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jobbert_skill_extraction_en_5.2.0_3.0_1699304183375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jobbert_skill_extraction_en_5.2.0_3.0_1699304183375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jobbert_skill_extraction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|402.2 MB|
+
+## References
+
+https://huggingface.co/jjzha/jobbert_skill_extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-06-negation_and_uncertainty_scope_detection_mbert_fine_tuned_en.md b/docs/_posts/ahmedlone127/2023-11-06-negation_and_uncertainty_scope_detection_mbert_fine_tuned_en.md
new file mode 100644
index 000000000000..f977aec616f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-06-negation_and_uncertainty_scope_detection_mbert_fine_tuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English negation_and_uncertainty_scope_detection_mbert_fine_tuned BertForTokenClassification from ajtamayoh
+author: John Snow Labs
+name: negation_and_uncertainty_scope_detection_mbert_fine_tuned
+date: 2023-11-06
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`negation_and_uncertainty_scope_detection_mbert_fine_tuned` is a English model originally trained by ajtamayoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/negation_and_uncertainty_scope_detection_mbert_fine_tuned_en_5.2.0_3.0_1699309597062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/negation_and_uncertainty_scope_detection_mbert_fine_tuned_en_5.2.0_3.0_1699309597062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vietnamese_ner_v1_4_0a2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|vi|
+|Size:|428.8 MB|
+
+## References
+
+https://huggingface.co/undertheseanlp/vietnamese-ner-v1.4.0a2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-ade_bio_clinicalbert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-ade_bio_clinicalbert_ner_en.md
new file mode 100644
index 000000000000..37686dd7ee64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-ade_bio_clinicalbert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ade_bio_clinicalbert_ner BertForTokenClassification from commanderstrife
+author: John Snow Labs
+name: ade_bio_clinicalbert_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ade_bio_clinicalbert_ner` is a English model originally trained by commanderstrife.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ade_bio_clinicalbert_ner_en_5.2.0_3.0_1699386038757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ade_bio_clinicalbert_ner_en_5.2.0_3.0_1699386038757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ade_bio_clinicalbert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.3 MB|
+
+## References
+
+https://huggingface.co/commanderstrife/ADE-Bio_ClinicalBERT-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-arabert_arabic_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-arabert_arabic_ner_en.md
new file mode 100644
index 000000000000..2e0904f5914e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-arabert_arabic_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English arabert_arabic_ner BertForTokenClassification from PRAli22
+author: John Snow Labs
+name: arabert_arabic_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabert_arabic_ner` is a English model originally trained by PRAli22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert_arabic_ner_en_5.2.0_3.0_1699396006785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_arabic_ner_en_5.2.0_3.0_1699396006785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert_arabic_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.1 MB|
+
+## References
+
+https://huggingface.co/PRAli22/arabert_arabic_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-assignment2_meher_test3_en.md b/docs/_posts/ahmedlone127/2023-11-07-assignment2_meher_test3_en.md
new file mode 100644
index 000000000000..0e70cd8060b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-assignment2_meher_test3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English assignment2_meher_test3 BertForTokenClassification from mpalaval
+author: John Snow Labs
+name: assignment2_meher_test3
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`assignment2_meher_test3` is a English model originally trained by mpalaval.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/assignment2_meher_test3_en_5.2.0_3.0_1699383048254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/assignment2_meher_test3_en_5.2.0_3.0_1699383048254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|assignment2_meher_test3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mpalaval/assignment2_meher_test3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-autotrain_medicaltokenclassification_1279048948_en.md b/docs/_posts/ahmedlone127/2023-11-07-autotrain_medicaltokenclassification_1279048948_en.md
new file mode 100644
index 000000000000..49cb5cfdcb28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-autotrain_medicaltokenclassification_1279048948_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English autotrain_medicaltokenclassification_1279048948 BertForTokenClassification from shreyas-singh
+author: John Snow Labs
+name: autotrain_medicaltokenclassification_1279048948
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_medicaltokenclassification_1279048948` is a English model originally trained by shreyas-singh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_medicaltokenclassification_1279048948_en_5.2.0_3.0_1699393608127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_medicaltokenclassification_1279048948_en_5.2.0_3.0_1699393608127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_medicaltokenclassification_1279048948|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/shreyas-singh/autotrain-MedicalTokenClassification-1279048948
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bde_abbrev_batteryonlybert_cased_base_en.md b/docs/_posts/ahmedlone127/2023-11-07-bde_abbrev_batteryonlybert_cased_base_en.md
new file mode 100644
index 000000000000..ff454574f92e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bde_abbrev_batteryonlybert_cased_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bde_abbrev_batteryonlybert_cased_base BertForTokenClassification from batterydata
+author: John Snow Labs
+name: bde_abbrev_batteryonlybert_cased_base
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bde_abbrev_batteryonlybert_cased_base` is a English model originally trained by batterydata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bde_abbrev_batteryonlybert_cased_base_en_5.2.0_3.0_1699388506500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bde_abbrev_batteryonlybert_cased_base_en_5.2.0_3.0_1699388506500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bde_abbrev_batteryonlybert_cased_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/batterydata/bde-abbrev-batteryonlybert-cased-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bde_sayula_popoluca_bert_cased_base_en.md b/docs/_posts/ahmedlone127/2023-11-07-bde_sayula_popoluca_bert_cased_base_en.md
new file mode 100644
index 000000000000..d77d445f080c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bde_sayula_popoluca_bert_cased_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bde_sayula_popoluca_bert_cased_base BertForTokenClassification from batterydata
+author: John Snow Labs
+name: bde_sayula_popoluca_bert_cased_base
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bde_sayula_popoluca_bert_cased_base` is a English model originally trained by batterydata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bde_sayula_popoluca_bert_cased_base_en_5.2.0_3.0_1699394949156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bde_sayula_popoluca_bert_cased_base_en_5.2.0_3.0_1699394949156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bengali_language_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|bn|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/Suchandra/bengali_language_NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_anatomical_en.md b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_anatomical_en.md
new file mode 100644
index 000000000000..9d3ea9a30789
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_anatomical_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_anatomical BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_anatomical
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_anatomical` is a English model originally trained by pruas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_anatomical_en_5.2.0_3.0_1699385335505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_anatomical_en_5.2.0_3.0_1699385335505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bent_pubmedbert_ner_anatomical|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/pruas/BENT-PubMedBERT-NER-Anatomical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_bioprocess_en.md b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_bioprocess_en.md
new file mode 100644
index 000000000000..998aa5840b03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_bioprocess_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_bioprocess BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_bioprocess
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_bioprocess` is a English model originally trained by pruas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_bioprocess_en_5.2.0_3.0_1699315652198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_bioprocess_en_5.2.0_3.0_1699315652198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bent_pubmedbert_ner_bioprocess|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/pruas/BENT-PubMedBERT-NER-Bioprocess
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_cell_component_en.md b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_cell_component_en.md
new file mode 100644
index 000000000000..8c819dbc1f6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_cell_component_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_cell_component BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_cell_component
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_cell_component` is a English model originally trained by pruas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_cell_component_en_5.2.0_3.0_1699385532471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_cell_component_en_5.2.0_3.0_1699385532471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bent_pubmedbert_ner_cell_component|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/pruas/BENT-PubMedBERT-NER-Cell-Component
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_cell_line_en.md b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_cell_line_en.md
new file mode 100644
index 000000000000..2186b6892e41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_cell_line_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_cell_line BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_cell_line
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_cell_line` is a English model originally trained by pruas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_cell_line_en_5.2.0_3.0_1699384184050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_cell_line_en_5.2.0_3.0_1699384184050.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bent_pubmedbert_ner_cell_line|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/pruas/BENT-PubMedBERT-NER-Cell-Line
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_organism_en.md b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_organism_en.md
new file mode 100644
index 000000000000..fbc475de54c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_organism_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_organism BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_organism
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_organism` is a English model originally trained by pruas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_organism_en_5.2.0_3.0_1699383678035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_organism_en_5.2.0_3.0_1699383678035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bent_pubmedbert_ner_organism|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/pruas/BENT-PubMedBERT-NER-Organism
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_variant_en.md b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_variant_en.md
new file mode 100644
index 000000000000..60c20acd1135
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bent_pubmedbert_ner_variant_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_variant BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_variant
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bent_pubmedbert_ner_variant` is a English model originally trained by pruas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_variant_en_5.2.0_3.0_1699316972395.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_variant_en_5.2.0_3.0_1699316972395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert4ner_base_chinese|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|zh|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/shibing624/bert4ner-base-chinese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_base_cased_finetuned_conll03_english_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_base_cased_finetuned_conll03_english_en.md
new file mode 100644
index 000000000000..37eb94f1668e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_base_cased_finetuned_conll03_english_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_conll03_english BertForTokenClassification from dbmdz
+author: John Snow Labs
+name: bert_base_cased_finetuned_conll03_english
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_conll03_english` is a English model originally trained by dbmdz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_conll03_english_en_5.2.0_3.0_1699325678056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_conll03_english_en_5.2.0_3.0_1699325678056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_conll03_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/dbmdz/bert-base-cased-finetuned-conll03-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_base_cased_literary_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_base_cased_literary_ner_en.md
new file mode 100644
index 000000000000..cfd427dae0fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_base_cased_literary_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_literary_ner BertForTokenClassification from compnet-renard
+author: John Snow Labs
+name: bert_base_cased_literary_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_literary_ner` is a English model originally trained by compnet-renard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_literary_ner_en_5.2.0_3.0_1699387100983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_literary_ner_en_5.2.0_3.0_1699387100983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_finetuned_ner_gyr66|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|zh|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/gyr66/bert-base-chinese-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_base_chinese_finetuned_ner_leonadase_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_base_chinese_finetuned_ner_leonadase_en.md
new file mode 100644
index 000000000000..c80998ad774e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_base_chinese_finetuned_ner_leonadase_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_chinese_finetuned_ner_leonadase BertForTokenClassification from leonadase
+author: John Snow Labs
+name: bert_base_chinese_finetuned_ner_leonadase
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_finetuned_ner_leonadase` is a English model originally trained by leonadase.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_ner_leonadase_en_5.2.0_3.0_1699389681080.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_ner_leonadase_en_5.2.0_3.0_1699389681080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_stock_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|zh|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/JasonYan/bert-base-chinese-stock-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_base_finetuned_sayula_popoluca_ud_english_ewt_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_base_finetuned_sayula_popoluca_ud_english_ewt_en.md
new file mode 100644
index 000000000000..564e9c7c3cb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_base_finetuned_sayula_popoluca_ud_english_ewt_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_finetuned_sayula_popoluca_ud_english_ewt BertForTokenClassification from TokenfreeEMNLPSubmission
+author: John Snow Labs
+name: bert_base_finetuned_sayula_popoluca_ud_english_ewt
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_sayula_popoluca_ud_english_ewt` is a English model originally trained by TokenfreeEMNLPSubmission.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sayula_popoluca_ud_english_ewt_en_5.2.0_3.0_1699383854788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_sayula_popoluca_ud_english_ewt_en_5.2.0_3.0_1699383854788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_cased_sayula_popoluca_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|665.2 MB|
+
+## References
+
+https://huggingface.co/gbwsolutions/bert-base-multilingual-cased-pos-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_base_named_entity_extractor_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_base_named_entity_extractor_en.md
new file mode 100644
index 000000000000..0d7f99d291bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_base_named_entity_extractor_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_named_entity_extractor BertForTokenClassification from Azma-AI
+author: John Snow Labs
+name: bert_base_named_entity_extractor
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_named_entity_extractor` is a English model originally trained by Azma-AI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_named_entity_extractor_en_5.2.0_3.0_1699384799757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_named_entity_extractor_en_5.2.0_3.0_1699384799757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_named_entity_extractor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Azma-AI/bert-base-named-entity-extractor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_base_ner_058_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_base_ner_058_en.md
new file mode 100644
index 000000000000..6ae751705349
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_base_ner_058_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_ner_058 BertForTokenClassification from NguyenVanHieu1605
+author: John Snow Labs
+name: bert_base_ner_058
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_ner_058` is a English model originally trained by NguyenVanHieu1605.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_ner_058_en_5.2.0_3.0_1699385797170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_ner_058_en_5.2.0_3.0_1699385797170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_ner_058|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/NguyenVanHieu1605/bert-base-ner-058
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_base_ner_reptile_5_datasets_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_base_ner_reptile_5_datasets_en.md
new file mode 100644
index 000000000000..08ce5a910f52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_base_ner_reptile_5_datasets_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_ner_reptile_5_datasets BertForTokenClassification from ai-forever
+author: John Snow Labs
+name: bert_base_ner_reptile_5_datasets
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_ner_reptile_5_datasets` is a English model originally trained by ai-forever.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_ner_reptile_5_datasets_en_5.2.0_3.0_1699401088372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_ner_reptile_5_datasets_en_5.2.0_3.0_1699401088372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_romanian_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|ro|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/dumitrescustefan/bert-base-romanian-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_base_spanish_wwm_cased_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_base_spanish_wwm_cased_finetuned_ner_en.md
new file mode 100644
index 000000000000..09c073a659aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_base_spanish_wwm_cased_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_cased_finetuned_ner BertForTokenClassification from dccuchile
+author: John Snow Labs
+name: bert_base_spanish_wwm_cased_finetuned_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_spanish_wwm_cased_finetuned_ner` is a English model originally trained by dccuchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_finetuned_ner_en_5.2.0_3.0_1699384970511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_finetuned_ner_en_5.2.0_3.0_1699384970511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_base_uncased_city_country_ner_ml6team_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_base_uncased_city_country_ner_ml6team_en.md
new file mode 100644
index 000000000000..3340f3750199
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_base_uncased_city_country_ner_ml6team_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_city_country_ner_ml6team BertForTokenClassification from ml6team
+author: John Snow Labs
+name: bert_base_uncased_city_country_ner_ml6team
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_city_country_ner_ml6team` is a English model originally trained by ml6team.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_city_country_ner_ml6team_en_5.2.0_3.0_1699383583804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_city_country_ner_ml6team_en_5.2.0_3.0_1699383583804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_city_country_ner_ml6team|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ml6team/bert-base-uncased-city-country-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_base_uncased_conll2003_hfeng_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_base_uncased_conll2003_hfeng_en.md
new file mode 100644
index 000000000000..0e625a4165d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_base_uncased_conll2003_hfeng_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_conll2003_hfeng BertForTokenClassification from hfeng
+author: John Snow Labs
+name: bert_base_uncased_conll2003_hfeng
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_conll2003_hfeng` is a English model originally trained by hfeng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_conll2003_hfeng_en_5.2.0_3.0_1699389315261.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_conll2003_hfeng_en_5.2.0_3.0_1699389315261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_conll2003_hfeng|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/hfeng/bert_base_uncased_conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_base_uncased_finetuned_scientific_eval_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_base_uncased_finetuned_scientific_eval_en.md
new file mode 100644
index 000000000000..26ffc694f140
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_base_uncased_finetuned_scientific_eval_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_scientific_eval BertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: bert_base_uncased_finetuned_scientific_eval
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_scientific_eval` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_scientific_eval_en_5.2.0_3.0_1699384660893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_scientific_eval_en_5.2.0_3.0_1699384660893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_scientific_eval|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/bert-base-uncased-finetuned-scientific-eval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_animacy_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_animacy_en.md
new file mode 100644
index 000000000000..d69b40b07758
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_animacy_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_animacy BertForTokenClassification from andrewt-cam
+author: John Snow Labs
+name: bert_finetuned_animacy
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_animacy` is a English model originally trained by andrewt-cam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_animacy_en_5.2.0_3.0_1699390063073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_animacy_en_5.2.0_3.0_1699390063073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_animacy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/andrewt-cam/bert-finetuned-animacy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_history_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_history_ner_en.md
new file mode 100644
index 000000000000..b6c96110e4e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_history_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_history_ner BertForTokenClassification from QuanAI
+author: John Snow Labs
+name: bert_finetuned_history_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_history_ner` is a English model originally trained by QuanAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_history_ner_en_5.2.0_3.0_1699387810524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_history_ner_en_5.2.0_3.0_1699387810524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_history_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/QuanAI/bert-finetuned-history-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_n2c2_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_n2c2_ner_en.md
new file mode 100644
index 000000000000..b43734091361
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_n2c2_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_n2c2_ner BertForTokenClassification from georgeleung30
+author: John Snow Labs
+name: bert_finetuned_n2c2_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_n2c2_ner` is a English model originally trained by georgeleung30.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_n2c2_ner_en_5.2.0_3.0_1699389048043.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_n2c2_ner_en_5.2.0_3.0_1699389048043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_n2c2_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/georgeleung30/bert-finetuned-n2c2-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_accelerate_sanjay7178_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_accelerate_sanjay7178_en.md
new file mode 100644
index 000000000000..ef7d8472502e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_accelerate_sanjay7178_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_accelerate_sanjay7178 BertForTokenClassification from sanjay7178
+author: John Snow Labs
+name: bert_finetuned_ner_accelerate_sanjay7178
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_accelerate_sanjay7178` is a English model originally trained by sanjay7178.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_accelerate_sanjay7178_en_5.2.0_3.0_1699400446204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_accelerate_sanjay7178_en_5.2.0_3.0_1699400446204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_accelerate_sanjay7178|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/sanjay7178/bert-finetuned-ner-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_applemoon_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_applemoon_en.md
new file mode 100644
index 000000000000..08d3c0f7adcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_applemoon_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_applemoon BertForTokenClassification from Applemoon
+author: John Snow Labs
+name: bert_finetuned_ner_applemoon
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_applemoon` is a English model originally trained by Applemoon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_applemoon_en_5.2.0_3.0_1699389684774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_applemoon_en_5.2.0_3.0_1699389684774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_applemoon|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Applemoon/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_default_parameters_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_default_parameters_en.md
new file mode 100644
index 000000000000..aa8d99a23ceb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_default_parameters_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_default_parameters BertForTokenClassification from Mabel465
+author: John Snow Labs
+name: bert_finetuned_ner_default_parameters
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_default_parameters` is a English model originally trained by Mabel465.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_default_parameters_en_5.2.0_3.0_1699398163108.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_default_parameters_en_5.2.0_3.0_1699398163108.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_default_parameters|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Mabel465/bert-finetuned-ner.default_parameters
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_konic_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_konic_en.md
new file mode 100644
index 000000000000..abc7493cb3bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_konic_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_konic BertForTokenClassification from Konic
+author: John Snow Labs
+name: bert_finetuned_ner_konic
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_konic` is a English model originally trained by Konic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_konic_en_5.2.0_3.0_1699384414045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_konic_en_5.2.0_3.0_1699384414045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_konic|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Konic/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_lamthanhtin2811_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_lamthanhtin2811_en.md
new file mode 100644
index 000000000000..65e9b1c62b2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_lamthanhtin2811_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_lamthanhtin2811 BertForTokenClassification from lamthanhtin2811
+author: John Snow Labs
+name: bert_finetuned_ner_lamthanhtin2811
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_lamthanhtin2811` is a English model originally trained by lamthanhtin2811.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_lamthanhtin2811_en_5.2.0_3.0_1699387480751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_lamthanhtin2811_en_5.2.0_3.0_1699387480751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_lamthanhtin2811|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/lamthanhtin2811/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_lightsaber689_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_lightsaber689_en.md
new file mode 100644
index 000000000000..3b5eb09aea04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_lightsaber689_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_lightsaber689 BertForTokenClassification from lightsaber689
+author: John Snow Labs
+name: bert_finetuned_ner_lightsaber689
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_lightsaber689` is a English model originally trained by lightsaber689.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_lightsaber689_en_5.2.0_3.0_1699385847274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_lightsaber689_en_5.2.0_3.0_1699385847274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_lightsaber689|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/lightsaber689/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_minea_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_minea_en.md
new file mode 100644
index 000000000000..b543b0b783d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_minea_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_minea BertForTokenClassification from minea
+author: John Snow Labs
+name: bert_finetuned_ner_minea
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_minea` is a English model originally trained by minea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_minea_en_5.2.0_3.0_1699386438023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_minea_en_5.2.0_3.0_1699386438023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_minea|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/minea/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_pii_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_pii_en.md
new file mode 100644
index 000000000000..1f4a204dfcd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_pii_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_pii BertForTokenClassification from ArunaSaraswathy
+author: John Snow Labs
+name: bert_finetuned_ner_pii
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_pii` is a English model originally trained by ArunaSaraswathy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_pii_en_5.2.0_3.0_1699385100996.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_pii_en_5.2.0_3.0_1699385100996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_pii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|404.0 MB|
+
+## References
+
+https://huggingface.co/ArunaSaraswathy/bert-finetuned-ner-pii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_rahulmukherji_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_rahulmukherji_en.md
new file mode 100644
index 000000000000..2c4c94fa38f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_rahulmukherji_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_rahulmukherji BertForTokenClassification from rahulmukherji
+author: John Snow Labs
+name: bert_finetuned_ner_rahulmukherji
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_rahulmukherji` is a English model originally trained by rahulmukherji.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_rahulmukherji_en_5.2.0_3.0_1699399643914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_rahulmukherji_en_5.2.0_3.0_1699399643914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_rahulmukherji|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/rahulmukherji/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_vbhasin_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_vbhasin_en.md
new file mode 100644
index 000000000000..c9462e658f07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_ner_vbhasin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_vbhasin BertForTokenClassification from vbhasin
+author: John Snow Labs
+name: bert_finetuned_ner_vbhasin
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_vbhasin` is a English model originally trained by vbhasin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_vbhasin_en_5.2.0_3.0_1699389493005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_vbhasin_en_5.2.0_3.0_1699389493005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_vbhasin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/vbhasin/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_tech_product_name_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_tech_product_name_ner_en.md
new file mode 100644
index 000000000000..bc4df13b32f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_tech_product_name_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_tech_product_name_ner BertForTokenClassification from ashleyliu31
+author: John Snow Labs
+name: bert_finetuned_tech_product_name_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_tech_product_name_ner` is a English model originally trained by ashleyliu31.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_tech_product_name_ner_en_5.2.0_3.0_1699383979008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_tech_product_name_ner_en_5.2.0_3.0_1699383979008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_tech_product_name_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ashleyliu31/bert-finetuned-tech-product-name-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_unpunctual_text_segmentation_v2_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_unpunctual_text_segmentation_v2_en.md
new file mode 100644
index 000000000000..52d0e8407d72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_finetuned_unpunctual_text_segmentation_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_unpunctual_text_segmentation_v2 BertForTokenClassification from TankuVie
+author: John Snow Labs
+name: bert_finetuned_unpunctual_text_segmentation_v2
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_unpunctual_text_segmentation_v2` is a English model originally trained by TankuVie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_unpunctual_text_segmentation_v2_en_5.2.0_3.0_1699382983044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_unpunctual_text_segmentation_v2_en_5.2.0_3.0_1699382983044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_unpunctual_text_segmentation_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/TankuVie/bert-finetuned-unpunctual-text-segmentation-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_german_ler_de.md b/docs/_posts/ahmedlone127/2023-11-07-bert_german_ler_de.md
new file mode 100644
index 000000000000..b4d5f58ed878
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_german_ler_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German bert_german_ler BertForTokenClassification from elenanereiss
+author: John Snow Labs
+name: bert_german_ler
+date: 2023-11-07
+tags: [bert, de, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_german_ler` is a German model originally trained by elenanereiss.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_german_ler_de_5.2.0_3.0_1699398163265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_german_ler_de_5.2.0_3.0_1699398163265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_german_ler|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/elenanereiss/bert-german-ler
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_large_cased_ft_ner_maplestory_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_large_cased_ft_ner_maplestory_en.md
new file mode 100644
index 000000000000..cce057309575
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_large_cased_ft_ner_maplestory_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_large_cased_ft_ner_maplestory BertForTokenClassification from nxaliao
+author: John Snow Labs
+name: bert_large_cased_ft_ner_maplestory
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_cased_ft_ner_maplestory` is a English model originally trained by nxaliao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_cased_ft_ner_maplestory_en_5.2.0_3.0_1699388820984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_cased_ft_ner_maplestory_en_5.2.0_3.0_1699388820984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_portuguese_ner_enamex|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|pt|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/marcosgg/bert-large-pt-ner-enamex
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_medical_ner_proj_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_medical_ner_proj_en.md
new file mode 100644
index 000000000000..d87525a3f24d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_medical_ner_proj_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_medical_ner_proj BertForTokenClassification from medical-ner-proj
+author: John Snow Labs
+name: bert_medical_ner_proj
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_medical_ner_proj` is a English model originally trained by medical-ner-proj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_medical_ner_proj_en_5.2.0_3.0_1699383204967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_medical_ner_proj_en_5.2.0_3.0_1699383204967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_medical_ner_proj|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/medical-ner-proj/bert-medical-ner-proj
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_ner_4_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_ner_4_en.md
new file mode 100644
index 000000000000..27e12b48ecdb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_ner_4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_4 BertForTokenClassification from mpalaval
+author: John Snow Labs
+name: bert_ner_4
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_4` is a English model originally trained by mpalaval.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_4_en_5.2.0_3.0_1699397402535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_4_en_5.2.0_3.0_1699397402535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mpalaval/bert-ner-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_portuguese_ner_archive_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_portuguese_ner_archive_en.md
new file mode 100644
index 000000000000..c261ccd5da8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_portuguese_ner_archive_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_portuguese_ner_archive BertForTokenClassification from lfcc
+author: John Snow Labs
+name: bert_portuguese_ner_archive
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_portuguese_ner_archive` is a English model originally trained by lfcc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_portuguese_ner_archive_en_5.2.0_3.0_1699383518668.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_portuguese_ner_archive_en_5.2.0_3.0_1699383518668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_chinese_ws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|zh|
+|Size:|43.0 MB|
+
+## References
+
+https://huggingface.co/ckiplab/bert-tiny-chinese-ws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_tiny_finetuned_finer_139_full_intel_cpu_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_tiny_finetuned_finer_139_full_intel_cpu_en.md
new file mode 100644
index 000000000000..8b8340ad36ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_tiny_finetuned_finer_139_full_intel_cpu_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_tiny_finetuned_finer_139_full_intel_cpu BertForTokenClassification from muhtasham
+author: John Snow Labs
+name: bert_tiny_finetuned_finer_139_full_intel_cpu
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_finetuned_finer_139_full_intel_cpu` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_finer_139_full_intel_cpu_en_5.2.0_3.0_1699394753224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_finer_139_full_intel_cpu_en_5.2.0_3.0_1699394753224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_finetuned_finer_139_full_intel_cpu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-tiny-finetuned-finer-139-full-intel-cpu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bert_tiny_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-bert_tiny_finetuned_ner_en.md
new file mode 100644
index 000000000000..490eb18664ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bert_tiny_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_tiny_finetuned_ner BertForTokenClassification from gagan3012
+author: John Snow Labs
+name: bert_tiny_finetuned_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_finetuned_ner` is a English model originally trained by gagan3012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_ner_en_5.2.0_3.0_1699386559106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_ner_en_5.2.0_3.0_1699386559106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_uncased_keyword_extractor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Azma-AI/bert-uncased-keyword-extractor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-berttest2_rtwc_en.md b/docs/_posts/ahmedlone127/2023-11-07-berttest2_rtwc_en.md
new file mode 100644
index 000000000000..bb33b17d93b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-berttest2_rtwc_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English berttest2_rtwc BertForTokenClassification from RtwC
+author: John Snow Labs
+name: berttest2_rtwc
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berttest2_rtwc` is a English model originally trained by RtwC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berttest2_rtwc_en_5.2.0_3.0_1699396604379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berttest2_rtwc_en_5.2.0_3.0_1699396604379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berturk_cased_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|tr|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/alierenak/berturk-cased-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-biobert_base_cased_v1_2_bc2gm_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-biobert_base_cased_v1_2_bc2gm_ner_en.md
new file mode 100644
index 000000000000..08ebaa458f1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-biobert_base_cased_v1_2_bc2gm_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_base_cased_v1_2_bc2gm_ner BertForTokenClassification from chintagunta85
+author: John Snow Labs
+name: biobert_base_cased_v1_2_bc2gm_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_base_cased_v1_2_bc2gm_ner` is a English model originally trained by chintagunta85.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_base_cased_v1_2_bc2gm_ner_en_5.2.0_3.0_1699383762749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_base_cased_v1_2_bc2gm_ner_en_5.2.0_3.0_1699383762749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_base_cased_v1_2_bc2gm_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/chintagunta85/biobert-base-cased-v1.2-bc2gm-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-biobert_base_cased_v1_2_ncbi_disease_softmax_labelall_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-biobert_base_cased_v1_2_ncbi_disease_softmax_labelall_ner_en.md
new file mode 100644
index 000000000000..8955c1d65126
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-biobert_base_cased_v1_2_ncbi_disease_softmax_labelall_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_base_cased_v1_2_ncbi_disease_softmax_labelall_ner BertForTokenClassification from jordyvl
+author: John Snow Labs
+name: biobert_base_cased_v1_2_ncbi_disease_softmax_labelall_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_base_cased_v1_2_ncbi_disease_softmax_labelall_ner` is a English model originally trained by jordyvl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_base_cased_v1_2_ncbi_disease_softmax_labelall_ner_en_5.2.0_3.0_1699384773826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_base_cased_v1_2_ncbi_disease_softmax_labelall_ner_en_5.2.0_3.0_1699384773826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_base_cased_v1_2_ncbi_disease_softmax_labelall_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/jordyvl/biobert-base-cased-v1.2_ncbi_disease-softmax-labelall-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-biobert_diseases_ner_alvaroalon2_en.md b/docs/_posts/ahmedlone127/2023-11-07-biobert_diseases_ner_alvaroalon2_en.md
new file mode 100644
index 000000000000..02bddb8a486f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-biobert_diseases_ner_alvaroalon2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_diseases_ner_alvaroalon2 BertForTokenClassification from alvaroalon2
+author: John Snow Labs
+name: biobert_diseases_ner_alvaroalon2
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_diseases_ner_alvaroalon2` is a English model originally trained by alvaroalon2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_diseases_ner_alvaroalon2_en_5.2.0_3.0_1699384011144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_diseases_ner_alvaroalon2_en_5.2.0_3.0_1699384011144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_diseases_ner_alvaroalon2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/alvaroalon2/biobert_diseases_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-biobert_diseases_ner_sschet_en.md b/docs/_posts/ahmedlone127/2023-11-07-biobert_diseases_ner_sschet_en.md
new file mode 100644
index 000000000000..58b0eab74102
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-biobert_diseases_ner_sschet_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_diseases_ner_sschet BertForTokenClassification from sschet
+author: John Snow Labs
+name: biobert_diseases_ner_sschet
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_diseases_ner_sschet` is a English model originally trained by sschet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_diseases_ner_sschet_en_5.2.0_3.0_1699387452087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_diseases_ner_sschet_en_5.2.0_3.0_1699387452087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_diseases_ner_sschet|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/sschet/biobert_diseases_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bioformer_8l_ncbi_disease_en.md b/docs/_posts/ahmedlone127/2023-11-07-bioformer_8l_ncbi_disease_en.md
new file mode 100644
index 000000000000..bb349619d43f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bioformer_8l_ncbi_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bioformer_8l_ncbi_disease BertForTokenClassification from bioformers
+author: John Snow Labs
+name: bioformer_8l_ncbi_disease
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bioformer_8l_ncbi_disease` is a English model originally trained by bioformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bioformer_8l_ncbi_disease_en_5.2.0_3.0_1699325104597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bioformer_8l_ncbi_disease_en_5.2.0_3.0_1699325104597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bioformer_8l_ncbi_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|158.5 MB|
+
+## References
+
+https://huggingface.co/bioformers/bioformer-8L-ncbi-disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-biolinkbert_base_finetuned_n2c2_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-biolinkbert_base_finetuned_n2c2_ner_en.md
new file mode 100644
index 000000000000..77e71bde34a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-biolinkbert_base_finetuned_n2c2_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biolinkbert_base_finetuned_n2c2_ner BertForTokenClassification from georgeleung30
+author: John Snow Labs
+name: biolinkbert_base_finetuned_n2c2_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biolinkbert_base_finetuned_n2c2_ner` is a English model originally trained by georgeleung30.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biolinkbert_base_finetuned_n2c2_ner_en_5.2.0_3.0_1699387642688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biolinkbert_base_finetuned_n2c2_ner_en_5.2.0_3.0_1699387642688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biolinkbert_base_finetuned_n2c2_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.5 MB|
+
+## References
+
+https://huggingface.co/georgeleung30/BioLinkBERT-base-finetuned-n2c2-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-biomednlp_pubmedbert_base_uncased_abstract_ft_ncbi_disease_en.md b/docs/_posts/ahmedlone127/2023-11-07-biomednlp_pubmedbert_base_uncased_abstract_ft_ncbi_disease_en.md
new file mode 100644
index 000000000000..74f5cf4654d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-biomednlp_pubmedbert_base_uncased_abstract_ft_ncbi_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_base_uncased_abstract_ft_ncbi_disease BertForTokenClassification from sarahmiller137
+author: John Snow Labs
+name: biomednlp_pubmedbert_base_uncased_abstract_ft_ncbi_disease
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomednlp_pubmedbert_base_uncased_abstract_ft_ncbi_disease` is a English model originally trained by sarahmiller137.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_ft_ncbi_disease_en_5.2.0_3.0_1699392082410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_ft_ncbi_disease_en_5.2.0_3.0_1699392082410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_base_uncased_abstract_ft_ncbi_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/sarahmiller137/BiomedNLP-PubMedBERT-base-uncased-abstract-ft-ncbi-disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-biomednlp_pubmedbert_base_uncased_abstract_fulltext_ft_ncbi_disease_en.md b/docs/_posts/ahmedlone127/2023-11-07-biomednlp_pubmedbert_base_uncased_abstract_fulltext_ft_ncbi_disease_en.md
new file mode 100644
index 000000000000..f43fa7a4dc25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-biomednlp_pubmedbert_base_uncased_abstract_fulltext_ft_ncbi_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_base_uncased_abstract_fulltext_ft_ncbi_disease BertForTokenClassification from sarahmiller137
+author: John Snow Labs
+name: biomednlp_pubmedbert_base_uncased_abstract_fulltext_ft_ncbi_disease
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomednlp_pubmedbert_base_uncased_abstract_fulltext_ft_ncbi_disease` is a English model originally trained by sarahmiller137.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_fulltext_ft_ncbi_disease_en_5.2.0_3.0_1699388250102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_base_uncased_abstract_fulltext_ft_ncbi_disease_en_5.2.0_3.0_1699388250102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_base_uncased_abstract_fulltext_ft_ncbi_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/sarahmiller137/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-ft-ncbi-disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bioner_en.md b/docs/_posts/ahmedlone127/2023-11-07-bioner_en.md
new file mode 100644
index 000000000000..f3d8853080f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bioner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bioner BertForTokenClassification from MilosKosRad
+author: John Snow Labs
+name: bioner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bioner` is a English model originally trained by MilosKosRad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bioner_en_5.2.0_3.0_1699383388414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bioner_en_5.2.0_3.0_1699383388414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bioner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/MilosKosRad/BioNER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-body_part_annotator_en.md b/docs/_posts/ahmedlone127/2023-11-07-body_part_annotator_en.md
new file mode 100644
index 000000000000..efe52363d636
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-body_part_annotator_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English body_part_annotator BertForTokenClassification from cp500
+author: John Snow Labs
+name: body_part_annotator
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`body_part_annotator` is a English model originally trained by cp500.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/body_part_annotator_en_5.2.0_3.0_1699385848533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/body_part_annotator_en_5.2.0_3.0_1699385848533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|body_part_annotator|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|690.4 MB|
+
+## References
+
+https://huggingface.co/cp500/body_part_annotator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bpmn_information_extraction_en.md b/docs/_posts/ahmedlone127/2023-11-07-bpmn_information_extraction_en.md
new file mode 100644
index 000000000000..aa4677a59567
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bpmn_information_extraction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bpmn_information_extraction BertForTokenClassification from jtlicardo
+author: John Snow Labs
+name: bpmn_information_extraction
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bpmn_information_extraction` is a English model originally trained by jtlicardo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bpmn_information_extraction_en_5.2.0_3.0_1699383560746.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bpmn_information_extraction_en_5.2.0_3.0_1699383560746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bpmn_information_extraction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jtlicardo/bpmn-information-extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bpmn_information_extraction_v2_en.md b/docs/_posts/ahmedlone127/2023-11-07-bpmn_information_extraction_v2_en.md
new file mode 100644
index 000000000000..276260efedf2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bpmn_information_extraction_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bpmn_information_extraction_v2 BertForTokenClassification from jtlicardo
+author: John Snow Labs
+name: bpmn_information_extraction_v2
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bpmn_information_extraction_v2` is a English model originally trained by jtlicardo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bpmn_information_extraction_v2_en_5.2.0_3.0_1699387855385.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bpmn_information_extraction_v2_en_5.2.0_3.0_1699387855385.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bpmn_information_extraction_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jtlicardo/bpmn-information-extraction-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-bulbert_ner_bsnlp_en.md b/docs/_posts/ahmedlone127/2023-11-07-bulbert_ner_bsnlp_en.md
new file mode 100644
index 000000000000..94aea5de8ce7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-bulbert_ner_bsnlp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bulbert_ner_bsnlp BertForTokenClassification from mor40
+author: John Snow Labs
+name: bulbert_ner_bsnlp
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bulbert_ner_bsnlp` is a English model originally trained by mor40.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bulbert_ner_bsnlp_en_5.2.0_3.0_1699386167194.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bulbert_ner_bsnlp_en_5.2.0_3.0_1699386167194.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bulbert_ner_bsnlp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|306.1 MB|
+
+## References
+
+https://huggingface.co/mor40/BulBERT-ner-bsnlp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-chinese_address_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-chinese_address_ner_en.md
new file mode 100644
index 000000000000..7c9f6dccbb8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-chinese_address_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English chinese_address_ner BertForTokenClassification from jiaqianjing
+author: John Snow Labs
+name: chinese_address_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_address_ner` is a English model originally trained by jiaqianjing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_address_ner_en_5.2.0_3.0_1699386241645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_address_ner_en_5.2.0_3.0_1699386241645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicalnerpt_sign|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|pt|
+|Size:|664.8 MB|
+
+## References
+
+https://huggingface.co/pucpr/clinicalnerpt-sign
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-comp_seqlab_dslim_bert_en.md b/docs/_posts/ahmedlone127/2023-11-07-comp_seqlab_dslim_bert_en.md
new file mode 100644
index 000000000000..91b72c2ee063
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-comp_seqlab_dslim_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English comp_seqlab_dslim_bert BertForTokenClassification from uhhlt
+author: John Snow Labs
+name: comp_seqlab_dslim_bert
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`comp_seqlab_dslim_bert` is a English model originally trained by uhhlt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/comp_seqlab_dslim_bert_en_5.2.0_3.0_1699387870385.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/comp_seqlab_dslim_bert_en_5.2.0_3.0_1699387870385.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|comp_seqlab_dslim_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/uhhlt/comp-seqlab-dslim-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-dark_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-dark_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..ce8c56c2b128
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-dark_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dark_bert_finetuned_ner BertForTokenClassification from pulkitkumar13
+author: John Snow Labs
+name: dark_bert_finetuned_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dark_bert_finetuned_ner` is a English model originally trained by pulkitkumar13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dark_bert_finetuned_ner_en_5.2.0_3.0_1699387910801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dark_bert_finetuned_ner_en_5.2.0_3.0_1699387910801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dark_bert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/pulkitkumar13/dark-bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-dbbert_pos_en.md b/docs/_posts/ahmedlone127/2023-11-07-dbbert_pos_en.md
new file mode 100644
index 000000000000..209eb8c7f19c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-dbbert_pos_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dbbert_pos BertForTokenClassification from colinswaelens
+author: John Snow Labs
+name: dbbert_pos
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dbbert_pos` is a English model originally trained by colinswaelens.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbbert_pos_en_5.2.0_3.0_1699387552772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbbert_pos_en_5.2.0_3.0_1699387552772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbbert_pos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.4 MB|
+
+## References
+
+https://huggingface.co/colinswaelens/DBBErt_POS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-deepct_en.md b/docs/_posts/ahmedlone127/2023-11-07-deepct_en.md
new file mode 100644
index 000000000000..c89265c54689
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-deepct_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English deepct BertForTokenClassification from macavaney
+author: John Snow Labs
+name: deepct
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deepct` is a English model originally trained by macavaney.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deepct_en_5.2.0_3.0_1699326749454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deepct_en_5.2.0_3.0_1699326749454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|elhberteu_sayula_popoluca_ud1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|eu|
+|Size:|464.7 MB|
+
+## References
+
+https://huggingface.co/orai-nlp/ElhBERTeu-pos-ud1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-emscad_skill_extraction_conference_token_classification_en.md b/docs/_posts/ahmedlone127/2023-11-07-emscad_skill_extraction_conference_token_classification_en.md
new file mode 100644
index 000000000000..8bd7e889ad95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-emscad_skill_extraction_conference_token_classification_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English emscad_skill_extraction_conference_token_classification BertForTokenClassification from Ivo
+author: John Snow Labs
+name: emscad_skill_extraction_conference_token_classification
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emscad_skill_extraction_conference_token_classification` is a English model originally trained by Ivo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emscad_skill_extraction_conference_token_classification_en_5.2.0_3.0_1699385391119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emscad_skill_extraction_conference_token_classification_en_5.2.0_3.0_1699385391119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emscad_skill_extraction_conference_token_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Ivo/emscad-skill-extraction-conference-token-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-emscad_skill_extraction_token_classification_en.md b/docs/_posts/ahmedlone127/2023-11-07-emscad_skill_extraction_token_classification_en.md
new file mode 100644
index 000000000000..de4fac875af0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-emscad_skill_extraction_token_classification_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English emscad_skill_extraction_token_classification BertForTokenClassification from Ivo
+author: John Snow Labs
+name: emscad_skill_extraction_token_classification
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emscad_skill_extraction_token_classification` is a English model originally trained by Ivo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emscad_skill_extraction_token_classification_en_5.2.0_3.0_1699389758974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emscad_skill_extraction_token_classification_en_5.2.0_3.0_1699389758974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emscad_skill_extraction_token_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Ivo/emscad-skill-extraction-token-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-finance_ner_v0_0_9_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-finance_ner_v0_0_9_finetuned_ner_en.md
new file mode 100644
index 000000000000..a91647e8b1bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-finance_ner_v0_0_9_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finance_ner_v0_0_9_finetuned_ner BertForTokenClassification from AhmedTaha012
+author: John Snow Labs
+name: finance_ner_v0_0_9_finetuned_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finance_ner_v0_0_9_finetuned_ner` is a English model originally trained by AhmedTaha012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finance_ner_v0_0_9_finetuned_ner_en_5.2.0_3.0_1699385195204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finance_ner_v0_0_9_finetuned_ner_en_5.2.0_3.0_1699385195204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finbert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|fi|
+|Size:|464.7 MB|
+
+## References
+
+https://huggingface.co/Kansallisarkisto/finbert-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-fullstop_indonesian_punctuation_prediction_id.md b/docs/_posts/ahmedlone127/2023-11-07-fullstop_indonesian_punctuation_prediction_id.md
new file mode 100644
index 000000000000..015e64df5218
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-fullstop_indonesian_punctuation_prediction_id.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Indonesian fullstop_indonesian_punctuation_prediction BertForTokenClassification from Rizkinoor16
+author: John Snow Labs
+name: fullstop_indonesian_punctuation_prediction
+date: 2023-11-07
+tags: [bert, id, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: id
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fullstop_indonesian_punctuation_prediction` is a Indonesian model originally trained by Rizkinoor16.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fullstop_indonesian_punctuation_prediction_id_5.2.0_3.0_1699391589605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fullstop_indonesian_punctuation_prediction_id_5.2.0_3.0_1699391589605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fullstop_indonesian_punctuation_prediction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|id|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/Rizkinoor16/fullstop-indonesian-punctuation-prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-gbert_legal_ner_de.md b/docs/_posts/ahmedlone127/2023-11-07-gbert_legal_ner_de.md
new file mode 100644
index 000000000000..78c089ec9674
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-gbert_legal_ner_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German gbert_legal_ner BertForTokenClassification from PaDaS-Lab
+author: John Snow Labs
+name: gbert_legal_ner
+date: 2023-11-07
+tags: [bert, de, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gbert_legal_ner` is a German model originally trained by PaDaS-Lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gbert_legal_ner_de_5.2.0_3.0_1699387731402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gbert_legal_ner_de_5.2.0_3.0_1699387731402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gbert_legal_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/PaDaS-Lab/gbert-legal-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-german_english_code_switching_identification_en.md b/docs/_posts/ahmedlone127/2023-11-07-german_english_code_switching_identification_en.md
new file mode 100644
index 000000000000..134bdfd852c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-german_english_code_switching_identification_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English german_english_code_switching_identification BertForTokenClassification from igorsterner
+author: John Snow Labs
+name: german_english_code_switching_identification
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`german_english_code_switching_identification` is a English model originally trained by igorsterner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_english_code_switching_identification_en_5.2.0_3.0_1699388184147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_english_code_switching_identification_en_5.2.0_3.0_1699388184147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_english_code_switching_identification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|664.7 MB|
+
+## References
+
+https://huggingface.co/igorsterner/german-english-code-switching-identification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-gilbert_en.md b/docs/_posts/ahmedlone127/2023-11-07-gilbert_en.md
new file mode 100644
index 000000000000..bfcb510b766d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-gilbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English gilbert BertForTokenClassification from rajpurkarlab
+author: John Snow Labs
+name: gilbert
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gilbert` is a English model originally trained by rajpurkarlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gilbert_en_5.2.0_3.0_1699315652248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gilbert_en_5.2.0_3.0_1699315652248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/rajpurkarlab/gilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-gp3_medical_token_classification_en.md b/docs/_posts/ahmedlone127/2023-11-07-gp3_medical_token_classification_en.md
new file mode 100644
index 000000000000..4958b7a09110
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-gp3_medical_token_classification_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English gp3_medical_token_classification BertForTokenClassification from parsi-ai-nlpclass
+author: John Snow Labs
+name: gp3_medical_token_classification
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gp3_medical_token_classification` is a English model originally trained by parsi-ai-nlpclass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gp3_medical_token_classification_en_5.2.0_3.0_1699399263292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gp3_medical_token_classification_en_5.2.0_3.0_1699399263292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gp3_medical_token_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/parsi-ai-nlpclass/Gp3_medical_token_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-hebert_medical_ner_fixed_labels_v1_en.md b/docs/_posts/ahmedlone127/2023-11-07-hebert_medical_ner_fixed_labels_v1_en.md
new file mode 100644
index 000000000000..9def0193375f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-hebert_medical_ner_fixed_labels_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hebert_medical_ner_fixed_labels_v1 BertForTokenClassification from cp500
+author: John Snow Labs
+name: hebert_medical_ner_fixed_labels_v1
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebert_medical_ner_fixed_labels_v1` is a English model originally trained by cp500.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebert_medical_ner_fixed_labels_v1_en_5.2.0_3.0_1699388943686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebert_medical_ner_fixed_labels_v1_en_5.2.0_3.0_1699388943686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebert_medical_ner_fixed_labels_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|690.5 MB|
+
+## References
+
+https://huggingface.co/cp500/hebert_medical_ner_fixed_labels_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-hebert_medical_ner_fixed_labels_v3_en.md b/docs/_posts/ahmedlone127/2023-11-07-hebert_medical_ner_fixed_labels_v3_en.md
new file mode 100644
index 000000000000..2a01f206d189
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-hebert_medical_ner_fixed_labels_v3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hebert_medical_ner_fixed_labels_v3 BertForTokenClassification from cp500
+author: John Snow Labs
+name: hebert_medical_ner_fixed_labels_v3
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebert_medical_ner_fixed_labels_v3` is a English model originally trained by cp500.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebert_medical_ner_fixed_labels_v3_en_5.2.0_3.0_1699383333088.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebert_medical_ner_fixed_labels_v3_en_5.2.0_3.0_1699383333088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebert_medical_ner_fixed_labels_v3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|690.6 MB|
+
+## References
+
+https://huggingface.co/cp500/hebert_medical_ner_fixed_labels_v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-hindi_bert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-hindi_bert_ner_en.md
new file mode 100644
index 000000000000..5c426a50c0ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-hindi_bert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hindi_bert_ner BertForTokenClassification from mirfan899
+author: John Snow Labs
+name: hindi_bert_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hindi_bert_ner` is a English model originally trained by mirfan899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_bert_ner_en_5.2.0_3.0_1699389197767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_bert_ner_en_5.2.0_3.0_1699389197767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_bert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/mirfan899/hindi-bert-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-hotel_reviews_en.md b/docs/_posts/ahmedlone127/2023-11-07-hotel_reviews_en.md
new file mode 100644
index 000000000000..5d01884dae5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-hotel_reviews_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hotel_reviews BertForTokenClassification from MutazYoune
+author: John Snow Labs
+name: hotel_reviews
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hotel_reviews` is a English model originally trained by MutazYoune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hotel_reviews_en_5.2.0_3.0_1699387666666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hotel_reviews_en_5.2.0_3.0_1699387666666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hotel_reviews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.4 MB|
+
+## References
+
+https://huggingface.co/MutazYoune/hotel_reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_random_typebased_en.md b/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_random_typebased_en.md
new file mode 100644
index 000000000000..89eaffa4873f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_random_typebased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English idrisi_lmr_en_random_typebased BertForTokenClassification from rsuwaileh
+author: John Snow Labs
+name: idrisi_lmr_en_random_typebased
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`idrisi_lmr_en_random_typebased` is a English model originally trained by rsuwaileh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/idrisi_lmr_en_random_typebased_en_5.2.0_3.0_1699385564570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/idrisi_lmr_en_random_typebased_en_5.2.0_3.0_1699385564570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|idrisi_lmr_en_random_typebased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-random-typebased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_random_typeless_en.md b/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_random_typeless_en.md
new file mode 100644
index 000000000000..ea0f4a669af6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_random_typeless_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English idrisi_lmr_en_random_typeless BertForTokenClassification from rsuwaileh
+author: John Snow Labs
+name: idrisi_lmr_en_random_typeless
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`idrisi_lmr_en_random_typeless` is a English model originally trained by rsuwaileh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/idrisi_lmr_en_random_typeless_en_5.2.0_3.0_1699383382404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/idrisi_lmr_en_random_typeless_en_5.2.0_3.0_1699383382404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|idrisi_lmr_en_random_typeless|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-random-typeless
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_timebased_typebased_en.md b/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_timebased_typebased_en.md
new file mode 100644
index 000000000000..e209f099cf95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_timebased_typebased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English idrisi_lmr_en_timebased_typebased BertForTokenClassification from rsuwaileh
+author: John Snow Labs
+name: idrisi_lmr_en_timebased_typebased
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`idrisi_lmr_en_timebased_typebased` is a English model originally trained by rsuwaileh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/idrisi_lmr_en_timebased_typebased_en_5.2.0_3.0_1699387252805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/idrisi_lmr_en_timebased_typebased_en_5.2.0_3.0_1699387252805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|idrisi_lmr_en_timebased_typebased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-timebased-typebased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_timebased_typeless_en.md b/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_timebased_typeless_en.md
new file mode 100644
index 000000000000..ec286ecb7698
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-idrisi_lmr_en_timebased_typeless_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English idrisi_lmr_en_timebased_typeless BertForTokenClassification from rsuwaileh
+author: John Snow Labs
+name: idrisi_lmr_en_timebased_typeless
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`idrisi_lmr_en_timebased_typeless` is a English model originally trained by rsuwaileh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/idrisi_lmr_en_timebased_typeless_en_5.2.0_3.0_1699390384142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/idrisi_lmr_en_timebased_typeless_en_5.2.0_3.0_1699390384142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|idrisi_lmr_en_timebased_typeless|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/rsuwaileh/IDRISI-LMR-EN-timebased-typeless
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-indobert_large_p2_finetuned_chunking_id.md b/docs/_posts/ahmedlone127/2023-11-07-indobert_large_p2_finetuned_chunking_id.md
new file mode 100644
index 000000000000..3ee6fa71b62b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-indobert_large_p2_finetuned_chunking_id.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Indonesian indobert_large_p2_finetuned_chunking BertForTokenClassification from ageng-anugrah
+author: John Snow Labs
+name: indobert_large_p2_finetuned_chunking
+date: 2023-11-07
+tags: [bert, id, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: id
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_large_p2_finetuned_chunking` is a Indonesian model originally trained by ageng-anugrah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_large_p2_finetuned_chunking_id_5.2.0_3.0_1699385766100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_large_p2_finetuned_chunking_id_5.2.0_3.0_1699385766100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_large_p2_finetuned_chunking|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|id|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ageng-anugrah/indobert-large-p2-finetuned-chunking
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-indobertweet_finetuned_ijelid_en.md b/docs/_posts/ahmedlone127/2023-11-07-indobertweet_finetuned_ijelid_en.md
new file mode 100644
index 000000000000..69e68ac318b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-indobertweet_finetuned_ijelid_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English indobertweet_finetuned_ijelid BertForTokenClassification from fathan
+author: John Snow Labs
+name: indobertweet_finetuned_ijelid
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobertweet_finetuned_ijelid` is a English model originally trained by fathan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobertweet_finetuned_ijelid_en_5.2.0_3.0_1699387609403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobertweet_finetuned_ijelid_en_5.2.0_3.0_1699387609403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobertweet_finetuned_ijelid|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|411.8 MB|
+
+## References
+
+https://huggingface.co/fathan/indobertweet-finetuned-ijelid
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-jira_bert_nerr_en.md b/docs/_posts/ahmedlone127/2023-11-07-jira_bert_nerr_en.md
new file mode 100644
index 000000000000..94df20c22a07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-jira_bert_nerr_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English jira_bert_nerr BertForTokenClassification from rouabelgacem
+author: John Snow Labs
+name: jira_bert_nerr
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jira_bert_nerr` is a English model originally trained by rouabelgacem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jira_bert_nerr_en_5.2.0_3.0_1699385661443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jira_bert_nerr_en_5.2.0_3.0_1699385661443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jira_bert_nerr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|404.0 MB|
+
+## References
+
+https://huggingface.co/rouabelgacem/jira-bert-nerr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-jobbert_base_cased_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-jobbert_base_cased_ner_en.md
new file mode 100644
index 000000000000..3b8b5577a5c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-jobbert_base_cased_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English jobbert_base_cased_ner BertForTokenClassification from itsmeboris
+author: John Snow Labs
+name: jobbert_base_cased_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jobbert_base_cased_ner` is a English model originally trained by itsmeboris.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jobbert_base_cased_ner_en_5.2.0_3.0_1699389113523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jobbert_base_cased_ner_en_5.2.0_3.0_1699389113523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_bengali_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|bn|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/sagorsarker/mbert-bengali-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-mbert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-mbert_finetuned_ner_en.md
new file mode 100644
index 000000000000..81e650df1f47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-mbert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_finetuned_ner BertForTokenClassification from Andrey1989
+author: John Snow Labs
+name: mbert_finetuned_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_finetuned_ner` is a English model originally trained by Andrey1989.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_finetuned_ner_en_5.2.0_3.0_1699386433257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_finetuned_ner_en_5.2.0_3.0_1699386433257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/Andrey1989/mbert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-med_ner_2_en.md b/docs/_posts/ahmedlone127/2023-11-07-med_ner_2_en.md
new file mode 100644
index 000000000000..2579568a5710
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-med_ner_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English med_ner_2 BertForTokenClassification from m-aliabbas1
+author: John Snow Labs
+name: med_ner_2
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`med_ner_2` is a English model originally trained by m-aliabbas1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/med_ner_2_en_5.2.0_3.0_1699396604225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/med_ner_2_en_5.2.0_3.0_1699396604225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|med_ner_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/m-aliabbas1/med_ner_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-medical_condition_annotator_en.md b/docs/_posts/ahmedlone127/2023-11-07-medical_condition_annotator_en.md
new file mode 100644
index 000000000000..a2e266d6a6eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-medical_condition_annotator_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English medical_condition_annotator BertForTokenClassification from cp500
+author: John Snow Labs
+name: medical_condition_annotator
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medical_condition_annotator` is a English model originally trained by cp500.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medical_condition_annotator_en_5.2.0_3.0_1699387343846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical_condition_annotator_en_5.2.0_3.0_1699387343846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multilingual_english_token_classification_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/Cabooose/multilingual_english_token_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-named_entity_recognition_en.md b/docs/_posts/ahmedlone127/2023-11-07-named_entity_recognition_en.md
new file mode 100644
index 000000000000..77d17c036004
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-named_entity_recognition_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English named_entity_recognition BertForTokenClassification from mdarhri00
+author: John Snow Labs
+name: named_entity_recognition
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`named_entity_recognition` is a English model originally trained by mdarhri00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/named_entity_recognition_en_5.2.0_3.0_1699385114625.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/named_entity_recognition_en_5.2.0_3.0_1699385114625.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|named_entity_recognition|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/mdarhri00/named-entity-recognition
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-ncbi_bc5cdr_disease_en.md b/docs/_posts/ahmedlone127/2023-11-07-ncbi_bc5cdr_disease_en.md
new file mode 100644
index 000000000000..9b8c3982f665
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-ncbi_bc5cdr_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ncbi_bc5cdr_disease BertForTokenClassification from datummd
+author: John Snow Labs
+name: ncbi_bc5cdr_disease
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ncbi_bc5cdr_disease` is a English model originally trained by datummd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ncbi_bc5cdr_disease_en_5.2.0_3.0_1699323955872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ncbi_bc5cdr_disease_en_5.2.0_3.0_1699323955872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ncbi_bc5cdr_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/datummd/NCBI_BC5CDR_disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-ner_bert_base_cased_ontonotesv5_englishv4_en.md b/docs/_posts/ahmedlone127/2023-11-07-ner_bert_base_cased_ontonotesv5_englishv4_en.md
new file mode 100644
index 000000000000..647ecc4d2b0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-ner_bert_base_cased_ontonotesv5_englishv4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_bert_base_cased_ontonotesv5_englishv4 BertForTokenClassification from djagatiya
+author: John Snow Labs
+name: ner_bert_base_cased_ontonotesv5_englishv4
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_bert_base_cased_ontonotesv5_englishv4` is a English model originally trained by djagatiya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_bert_base_cased_ontonotesv5_englishv4_en_5.2.0_3.0_1699384083694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_bert_base_cased_ontonotesv5_englishv4_en_5.2.0_3.0_1699384083694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_bert_large_cased_portuguese_lenerbr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|pt|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/pierreguillou/ner-bert-large-cased-pt-lenerbr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-ner_bio_annotated_7_1_en.md b/docs/_posts/ahmedlone127/2023-11-07-ner_bio_annotated_7_1_en.md
new file mode 100644
index 000000000000..6d88251d4dcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-ner_bio_annotated_7_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_bio_annotated_7_1 BertForTokenClassification from urbija
+author: John Snow Labs
+name: ner_bio_annotated_7_1
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_bio_annotated_7_1` is a English model originally trained by urbija.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_bio_annotated_7_1_en_5.2.0_3.0_1699399873485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_bio_annotated_7_1_en_5.2.0_3.0_1699399873485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_bio_annotated_7_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/urbija/ner-bio-annotated-7-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-ner_fine_tune_bert_en.md b/docs/_posts/ahmedlone127/2023-11-07-ner_fine_tune_bert_en.md
new file mode 100644
index 000000000000..8b7d801139aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-ner_fine_tune_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_fine_tune_bert BertForTokenClassification from cehongw
+author: John Snow Labs
+name: ner_fine_tune_bert
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_fine_tune_bert` is a English model originally trained by cehongw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_fine_tune_bert_en_5.2.0_3.0_1699385195759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_fine_tune_bert_en_5.2.0_3.0_1699385195759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_fine_tune_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/cehongw/ner-fine-tune-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-ner_fine_tune_bert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-ner_fine_tune_bert_ner_en.md
new file mode 100644
index 000000000000..62068cfd7d7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-ner_fine_tune_bert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_fine_tune_bert_ner BertForTokenClassification from cehongw
+author: John Snow Labs
+name: ner_fine_tune_bert_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_fine_tune_bert_ner` is a English model originally trained by cehongw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_fine_tune_bert_ner_en_5.2.0_3.0_1699401114697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_fine_tune_bert_ner_en_5.2.0_3.0_1699401114697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_fine_tune_bert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/cehongw/ner-fine-tune-bert-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-ner_test_bert_base_uncased_finetuned_500k_adamw_3_epoch_locations_en.md b/docs/_posts/ahmedlone127/2023-11-07-ner_test_bert_base_uncased_finetuned_500k_adamw_3_epoch_locations_en.md
new file mode 100644
index 000000000000..9cd05f97be78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-ner_test_bert_base_uncased_finetuned_500k_adamw_3_epoch_locations_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_test_bert_base_uncased_finetuned_500k_adamw_3_epoch_locations BertForTokenClassification from poodledude
+author: John Snow Labs
+name: ner_test_bert_base_uncased_finetuned_500k_adamw_3_epoch_locations
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_test_bert_base_uncased_finetuned_500k_adamw_3_epoch_locations` is a English model originally trained by poodledude.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_test_bert_base_uncased_finetuned_500k_adamw_3_epoch_locations_en_5.2.0_3.0_1699386946731.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_test_bert_base_uncased_finetuned_500k_adamw_3_epoch_locations_en_5.2.0_3.0_1699386946731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_cic_wfu_distemist_fine_tuned_bert_base_multilingual_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/GuCuChiara/NLP-CIC-WFU_DisTEMIST_fine_tuned_bert-base-multilingual-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-nlp_tokenclass_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-nlp_tokenclass_ner_en.md
new file mode 100644
index 000000000000..f90bc6d00acf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-nlp_tokenclass_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nlp_tokenclass_ner BertForTokenClassification from Endika99
+author: John Snow Labs
+name: nlp_tokenclass_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_tokenclass_ner` is a English model originally trained by Endika99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_tokenclass_ner_en_5.2.0_3.0_1699384183925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_tokenclass_ner_en_5.2.0_3.0_1699384183925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nominal_groups_recognition_medical_disease_competencia2_bert_medical_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/pineiden/nominal-groups-recognition-medical-disease-competencia2-bert-medical-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-nyt_ingredient_tagger_gte_small_en.md b/docs/_posts/ahmedlone127/2023-11-07-nyt_ingredient_tagger_gte_small_en.md
new file mode 100644
index 000000000000..4026a220a70e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-nyt_ingredient_tagger_gte_small_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nyt_ingredient_tagger_gte_small BertForTokenClassification from napsternxg
+author: John Snow Labs
+name: nyt_ingredient_tagger_gte_small
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nyt_ingredient_tagger_gte_small` is a English model originally trained by napsternxg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nyt_ingredient_tagger_gte_small_en_5.2.0_3.0_1699389758527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nyt_ingredient_tagger_gte_small_en_5.2.0_3.0_1699389758527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nyt_ingredient_tagger_gte_small|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|113.1 MB|
+
+## References
+
+https://huggingface.co/napsternxg/nyt-ingredient-tagger-gte-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-pashto_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2023-11-07-pashto_sayula_popoluca_en.md
new file mode 100644
index 000000000000..3c87a81d68aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-pashto_sayula_popoluca_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pashto_sayula_popoluca BertForTokenClassification from ijazulhaq
+author: John Snow Labs
+name: pashto_sayula_popoluca
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pashto_sayula_popoluca` is a English model originally trained by ijazulhaq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pashto_sayula_popoluca_en_5.2.0_3.0_1699386046291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pashto_sayula_popoluca_en_5.2.0_3.0_1699386046291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pashto_sayula_popoluca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/ijazulhaq/pashto-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-pashto_word_segmentation_en.md b/docs/_posts/ahmedlone127/2023-11-07-pashto_word_segmentation_en.md
new file mode 100644
index 000000000000..40a3024f7b57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-pashto_word_segmentation_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pashto_word_segmentation BertForTokenClassification from ijazulhaq
+author: John Snow Labs
+name: pashto_word_segmentation
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pashto_word_segmentation` is a English model originally trained by ijazulhaq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pashto_word_segmentation_en_5.2.0_3.0_1699383974575.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pashto_word_segmentation_en_5.2.0_3.0_1699383974575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pashto_word_segmentation|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.5 MB|
+
+## References
+
+https://huggingface.co/ijazulhaq/pashto-word-segmentation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-personal_noun_detection_german_bert_de.md b/docs/_posts/ahmedlone127/2023-11-07-personal_noun_detection_german_bert_de.md
new file mode 100644
index 000000000000..9cd79e25c8da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-personal_noun_detection_german_bert_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German personal_noun_detection_german_bert BertForTokenClassification from CarlaSoe
+author: John Snow Labs
+name: personal_noun_detection_german_bert
+date: 2023-11-07
+tags: [bert, de, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`personal_noun_detection_german_bert` is a German model originally trained by CarlaSoe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/personal_noun_detection_german_bert_de_5.2.0_3.0_1699388076431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/personal_noun_detection_german_bert_de_5.2.0_3.0_1699388076431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|personal_noun_detection_german_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/CarlaSoe/personal-noun-detection-german-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-phibert_finetuned_ner_girinlp_i2i_en.md b/docs/_posts/ahmedlone127/2023-11-07-phibert_finetuned_ner_girinlp_i2i_en.md
new file mode 100644
index 000000000000..c3f8c7fba04f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-phibert_finetuned_ner_girinlp_i2i_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English phibert_finetuned_ner_girinlp_i2i BertForTokenClassification from girinlp-i2i
+author: John Snow Labs
+name: phibert_finetuned_ner_girinlp_i2i
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phibert_finetuned_ner_girinlp_i2i` is a English model originally trained by girinlp-i2i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phibert_finetuned_ner_girinlp_i2i_en_5.2.0_3.0_1699316986375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phibert_finetuned_ner_girinlp_i2i_en_5.2.0_3.0_1699316986375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phibert_finetuned_ner_girinlp_i2i|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.2 MB|
+
+## References
+
+https://huggingface.co/girinlp-i2i/phibert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-pico_ner_adapter_en.md b/docs/_posts/ahmedlone127/2023-11-07-pico_ner_adapter_en.md
new file mode 100644
index 000000000000..ade310de2463
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-pico_ner_adapter_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pico_ner_adapter BertForTokenClassification from reginaboateng
+author: John Snow Labs
+name: pico_ner_adapter
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pico_ner_adapter` is a English model originally trained by reginaboateng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pico_ner_adapter_en_5.2.0_3.0_1699388021718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pico_ner_adapter_en_5.2.0_3.0_1699388021718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pico_ner_adapter|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/reginaboateng/pico_ner_adapter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-pii_annotator_en.md b/docs/_posts/ahmedlone127/2023-11-07-pii_annotator_en.md
new file mode 100644
index 000000000000..1b7a565156fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-pii_annotator_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pii_annotator BertForTokenClassification from cp500
+author: John Snow Labs
+name: pii_annotator
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pii_annotator` is a English model originally trained by cp500.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pii_annotator_en_5.2.0_3.0_1699386518686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pii_annotator_en_5.2.0_3.0_1699386518686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pii_annotator|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|690.5 MB|
+
+## References
+
+https://huggingface.co/cp500/PII_annotator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-polymerner_en.md b/docs/_posts/ahmedlone127/2023-11-07-polymerner_en.md
new file mode 100644
index 000000000000..b7ffecf915cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-polymerner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English polymerner BertForTokenClassification from pranav-s
+author: John Snow Labs
+name: polymerner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`polymerner` is a English model originally trained by pranav-s.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/polymerner_en_5.2.0_3.0_1699384979853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/polymerner_en_5.2.0_3.0_1699384979853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|polymerner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/pranav-s/PolymerNER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-porttagger_base_en.md b/docs/_posts/ahmedlone127/2023-11-07-porttagger_base_en.md
new file mode 100644
index 000000000000..1fd27ae7ff14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-porttagger_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English porttagger_base BertForTokenClassification from Emanuel
+author: John Snow Labs
+name: porttagger_base
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`porttagger_base` is a English model originally trained by Emanuel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/porttagger_base_en_5.2.0_3.0_1699384183984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/porttagger_base_en_5.2.0_3.0_1699384183984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|postagger_portuguese|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|pt|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/lisaterumi/postagger-portuguese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-products_ner8_en.md b/docs/_posts/ahmedlone127/2023-11-07-products_ner8_en.md
new file mode 100644
index 000000000000..64c56a3451d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-products_ner8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English products_ner8 BertForTokenClassification from Atheer174
+author: John Snow Labs
+name: products_ner8
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`products_ner8` is a English model originally trained by Atheer174.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/products_ner8_en_5.2.0_3.0_1699386899051.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/products_ner8_en_5.2.0_3.0_1699386899051.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|products_ner8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Atheer174/Products_NER8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-resumeparserbert_en.md b/docs/_posts/ahmedlone127/2023-11-07-resumeparserbert_en.md
new file mode 100644
index 000000000000..32edff2c8e4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-resumeparserbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English resumeparserbert BertForTokenClassification from sravya-abburi
+author: John Snow Labs
+name: resumeparserbert
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`resumeparserbert` is a English model originally trained by sravya-abburi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/resumeparserbert_en_5.2.0_3.0_1699383698898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/resumeparserbert_en_5.2.0_3.0_1699383698898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_privacy_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|zh|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/gyr66/RoBERTa-finetuned-privacy-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-rubert_base_cased_conversational_ner_v1_en.md b/docs/_posts/ahmedlone127/2023-11-07-rubert_base_cased_conversational_ner_v1_en.md
new file mode 100644
index 000000000000..762f44e1b9fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-rubert_base_cased_conversational_ner_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rubert_base_cased_conversational_ner_v1 BertForTokenClassification from Data-Lab
+author: John Snow Labs
+name: rubert_base_cased_conversational_ner_v1
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_base_cased_conversational_ner_v1` is a English model originally trained by Data-Lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_base_cased_conversational_ner_v1_en_5.2.0_3.0_1699385391187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_base_cased_conversational_ner_v1_en_5.2.0_3.0_1699385391187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_ext_sum_gazeta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|ru|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/IlyaGusev/rubert_ext_sum_gazeta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-rubert_tiny_obj_asp_en.md b/docs/_posts/ahmedlone127/2023-11-07-rubert_tiny_obj_asp_en.md
new file mode 100644
index 000000000000..4012884002b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-rubert_tiny_obj_asp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rubert_tiny_obj_asp BertForTokenClassification from lilaspourpre
+author: John Snow Labs
+name: rubert_tiny_obj_asp
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_tiny_obj_asp` is a English model originally trained by lilaspourpre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny_obj_asp_en_5.2.0_3.0_1699384483183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny_obj_asp_en_5.2.0_3.0_1699384483183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny_obj_asp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|43.8 MB|
+
+## References
+
+https://huggingface.co/lilaspourpre/rubert-tiny-obj-asp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-russian_damage_trigger_effect_4_en.md b/docs/_posts/ahmedlone127/2023-11-07-russian_damage_trigger_effect_4_en.md
new file mode 100644
index 000000000000..9e53b52b69aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-russian_damage_trigger_effect_4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English russian_damage_trigger_effect_4 BertForTokenClassification from Lolimorimorf
+author: John Snow Labs
+name: russian_damage_trigger_effect_4
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`russian_damage_trigger_effect_4` is a English model originally trained by Lolimorimorf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/russian_damage_trigger_effect_4_en_5.2.0_3.0_1699387304257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/russian_damage_trigger_effect_4_en_5.2.0_3.0_1699387304257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sayula_popoluca_thai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|th|
+|Size:|344.8 MB|
+
+## References
+
+https://huggingface.co/lunarlist/pos_thai
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-scbert_ser3_en.md b/docs/_posts/ahmedlone127/2023-11-07-scbert_ser3_en.md
new file mode 100644
index 000000000000..3583bd9643e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-scbert_ser3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scbert_ser3 BertForTokenClassification from havens2
+author: John Snow Labs
+name: scbert_ser3
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scbert_ser3` is a English model originally trained by havens2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scbert_ser3_en_5.2.0_3.0_1699385594161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scbert_ser3_en_5.2.0_3.0_1699385594161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scbert_ser3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/havens2/scBERT_SER3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-scibert_finetuned_ner_eeshclusive_en.md b/docs/_posts/ahmedlone127/2023-11-07-scibert_finetuned_ner_eeshclusive_en.md
new file mode 100644
index 000000000000..edea0f9ea5de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-scibert_finetuned_ner_eeshclusive_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_finetuned_ner_eeshclusive BertForTokenClassification from eeshclusive
+author: John Snow Labs
+name: scibert_finetuned_ner_eeshclusive
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scibert_finetuned_ner_eeshclusive` is a English model originally trained by eeshclusive.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_finetuned_ner_eeshclusive_en_5.2.0_3.0_1699397236557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_finetuned_ner_eeshclusive_en_5.2.0_3.0_1699397236557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_finetuned_ner_eeshclusive|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/eeshclusive/scibert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-scibert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-scibert_ner_en.md
new file mode 100644
index 000000000000..ef26b4f5402b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-scibert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_ner BertForTokenClassification from devanshrj
+author: John Snow Labs
+name: scibert_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scibert_ner` is a English model originally trained by devanshrj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_ner_en_5.2.0_3.0_1699387144110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_ner_en_5.2.0_3.0_1699387144110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/devanshrj/scibert-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-scibert_scivocab_uncased_finetuned_ner_jsylee_en.md b/docs/_posts/ahmedlone127/2023-11-07-scibert_scivocab_uncased_finetuned_ner_jsylee_en.md
new file mode 100644
index 000000000000..6d8d7371ca16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-scibert_scivocab_uncased_finetuned_ner_jsylee_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_scivocab_uncased_finetuned_ner_jsylee BertForTokenClassification from jsylee
+author: John Snow Labs
+name: scibert_scivocab_uncased_finetuned_ner_jsylee
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scibert_scivocab_uncased_finetuned_ner_jsylee` is a English model originally trained by jsylee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_finetuned_ner_jsylee_en_5.2.0_3.0_1699383047707.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_finetuned_ner_jsylee_en_5.2.0_3.0_1699383047707.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_scivocab_uncased_finetuned_ner_jsylee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/jsylee/scibert_scivocab_uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-scibert_scivocab_uncased_ner_visbank_en.md b/docs/_posts/ahmedlone127/2023-11-07-scibert_scivocab_uncased_ner_visbank_en.md
new file mode 100644
index 000000000000..f3222e01561b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-scibert_scivocab_uncased_ner_visbank_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_scivocab_uncased_ner_visbank BertForTokenClassification from Yamei
+author: John Snow Labs
+name: scibert_scivocab_uncased_ner_visbank
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scibert_scivocab_uncased_ner_visbank` is a English model originally trained by Yamei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_ner_visbank_en_5.2.0_3.0_1699401483817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_ner_visbank_en_5.2.0_3.0_1699401483817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_scivocab_uncased_ner_visbank|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/Yamei/scibert_scivocab_uncased_NER_VISBank
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-sindhi_geneprod_roles_v2_en.md b/docs/_posts/ahmedlone127/2023-11-07-sindhi_geneprod_roles_v2_en.md
new file mode 100644
index 000000000000..6fbbf2293c04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-sindhi_geneprod_roles_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sindhi_geneprod_roles_v2 BertForTokenClassification from EMBO
+author: John Snow Labs
+name: sindhi_geneprod_roles_v2
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sindhi_geneprod_roles_v2` is a English model originally trained by EMBO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sindhi_geneprod_roles_v2_en_5.2.0_3.0_1699388297204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sindhi_geneprod_roles_v2_en_5.2.0_3.0_1699388297204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sindhi_geneprod_roles_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/EMBO/sd-geneprod-roles-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-sindhi_ner_v2_en.md b/docs/_posts/ahmedlone127/2023-11-07-sindhi_ner_v2_en.md
new file mode 100644
index 000000000000..2afd4a307976
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-sindhi_ner_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sindhi_ner_v2 BertForTokenClassification from EMBO
+author: John Snow Labs
+name: sindhi_ner_v2
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sindhi_ner_v2` is a English model originally trained by EMBO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sindhi_ner_v2_en_5.2.0_3.0_1699387293106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sindhi_ner_v2_en_5.2.0_3.0_1699387293106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sindhi_ner_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/EMBO/sd-ner-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-sindhi_panelization_v2_en.md b/docs/_posts/ahmedlone127/2023-11-07-sindhi_panelization_v2_en.md
new file mode 100644
index 000000000000..e691e5e2eb55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-sindhi_panelization_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sindhi_panelization_v2 BertForTokenClassification from EMBO
+author: John Snow Labs
+name: sindhi_panelization_v2
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sindhi_panelization_v2` is a English model originally trained by EMBO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sindhi_panelization_v2_en_5.2.0_3.0_1699388220382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sindhi_panelization_v2_en_5.2.0_3.0_1699388220382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sindhi_panelization_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/EMBO/sd-panelization-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-sindhi_smallmol_roles_v2_en.md b/docs/_posts/ahmedlone127/2023-11-07-sindhi_smallmol_roles_v2_en.md
new file mode 100644
index 000000000000..b49b0b26f4d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-sindhi_smallmol_roles_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sindhi_smallmol_roles_v2 BertForTokenClassification from EMBO
+author: John Snow Labs
+name: sindhi_smallmol_roles_v2
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sindhi_smallmol_roles_v2` is a English model originally trained by EMBO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sindhi_smallmol_roles_v2_en_5.2.0_3.0_1699387916066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sindhi_smallmol_roles_v2_en_5.2.0_3.0_1699387916066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sindhi_smallmol_roles_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/EMBO/sd-smallmol-roles-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-skill_role_mapper_en.md b/docs/_posts/ahmedlone127/2023-11-07-skill_role_mapper_en.md
new file mode 100644
index 000000000000..ea3fb5ec6c57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-skill_role_mapper_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English skill_role_mapper BertForTokenClassification from MehdiHosseiniMoghadam
+author: John Snow Labs
+name: skill_role_mapper
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`skill_role_mapper` is a English model originally trained by MehdiHosseiniMoghadam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/skill_role_mapper_en_5.2.0_3.0_1699386711647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/skill_role_mapper_en_5.2.0_3.0_1699386711647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|skill_role_mapper|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.8 MB|
+
+## References
+
+https://huggingface.co/MehdiHosseiniMoghadam/skill-role-mapper
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-skillner_en.md b/docs/_posts/ahmedlone127/2023-11-07-skillner_en.md
new file mode 100644
index 000000000000..4e1684837323
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-skillner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English skillner BertForTokenClassification from ihk
+author: John Snow Labs
+name: skillner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`skillner` is a English model originally trained by ihk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/skillner_en_5.2.0_3.0_1699329137492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/skillner_en_5.2.0_3.0_1699329137492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_capitalization_punctuation_restoration|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/UMUTeam/spanish_capitalization_punctuation_restoration
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-species_identification_mbert_fine_tuned_train_test_en.md b/docs/_posts/ahmedlone127/2023-11-07-species_identification_mbert_fine_tuned_train_test_en.md
new file mode 100644
index 000000000000..9b4ada8ef994
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-species_identification_mbert_fine_tuned_train_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English species_identification_mbert_fine_tuned_train_test BertForTokenClassification from ajtamayoh
+author: John Snow Labs
+name: species_identification_mbert_fine_tuned_train_test
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`species_identification_mbert_fine_tuned_train_test` is a English model originally trained by ajtamayoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/species_identification_mbert_fine_tuned_train_test_en_5.2.0_3.0_1699389436904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/species_identification_mbert_fine_tuned_train_test_en_5.2.0_3.0_1699389436904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tempclin_biobertpt_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|pt|
+|Size:|664.9 MB|
+
+## References
+
+https://huggingface.co/pucpr-br/tempclin-biobertpt-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-tiny_random_bertfortokenclassification_hf_internal_testing_en.md b/docs/_posts/ahmedlone127/2023-11-07-tiny_random_bertfortokenclassification_hf_internal_testing_en.md
new file mode 100644
index 000000000000..d0e912198e8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-tiny_random_bertfortokenclassification_hf_internal_testing_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_random_bertfortokenclassification_hf_internal_testing BertForTokenClassification from hf-internal-testing
+author: John Snow Labs
+name: tiny_random_bertfortokenclassification_hf_internal_testing
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_random_bertfortokenclassification_hf_internal_testing` is a English model originally trained by hf-internal-testing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_bertfortokenclassification_hf_internal_testing_en_5.2.0_3.0_1699384782616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_bertfortokenclassification_hf_internal_testing_en_5.2.0_3.0_1699384782616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_bertfortokenclassification_hf_internal_testing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|349.9 KB|
+
+## References
+
+https://huggingface.co/hf-internal-testing/tiny-random-BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-toponym_19thc_english_en.md b/docs/_posts/ahmedlone127/2023-11-07-toponym_19thc_english_en.md
new file mode 100644
index 000000000000..d11bd7d01f13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-toponym_19thc_english_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English toponym_19thc_english BertForTokenClassification from Livingwithmachines
+author: John Snow Labs
+name: toponym_19thc_english
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toponym_19thc_english` is a English model originally trained by Livingwithmachines.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toponym_19thc_english_en_5.2.0_3.0_1699388663159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toponym_19thc_english_en_5.2.0_3.0_1699388663159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toponym_19thc_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/Livingwithmachines/toponym-19thC-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-treatment_disease_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-treatment_disease_ner_en.md
new file mode 100644
index 000000000000..1da0f0b39ee4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-treatment_disease_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English treatment_disease_ner BertForTokenClassification from jnferfer
+author: John Snow Labs
+name: treatment_disease_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`treatment_disease_ner` is a English model originally trained by jnferfer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/treatment_disease_ner_en_5.2.0_3.0_1699386357805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/treatment_disease_ner_en_5.2.0_3.0_1699386357805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|treatment_disease_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/jnferfer/treatment-disease-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-unbias_named_entity_recognition_en.md b/docs/_posts/ahmedlone127/2023-11-07-unbias_named_entity_recognition_en.md
new file mode 100644
index 000000000000..f746cbe8c17f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-unbias_named_entity_recognition_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English unbias_named_entity_recognition BertForTokenClassification from newsmediabias
+author: John Snow Labs
+name: unbias_named_entity_recognition
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unbias_named_entity_recognition` is a English model originally trained by newsmediabias.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unbias_named_entity_recognition_en_5.2.0_3.0_1699386641857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unbias_named_entity_recognition_en_5.2.0_3.0_1699386641857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unbias_named_entity_recognition|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/newsmediabias/UnBIAS-Named-Entity-Recognition
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-unbias_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-unbias_ner_en.md
new file mode 100644
index 000000000000..74f70b4e4d97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-unbias_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English unbias_ner BertForTokenClassification from newsmediabias
+author: John Snow Labs
+name: unbias_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unbias_ner` is a English model originally trained by newsmediabias.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unbias_ner_en_5.2.0_3.0_1699386172323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unbias_ner_en_5.2.0_3.0_1699386172323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unbias_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/newsmediabias/UnBIAS-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-unicausal_tok_baseline_en.md b/docs/_posts/ahmedlone127/2023-11-07-unicausal_tok_baseline_en.md
new file mode 100644
index 000000000000..6aa83ed26f94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-unicausal_tok_baseline_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English unicausal_tok_baseline BertForTokenClassification from tanfiona
+author: John Snow Labs
+name: unicausal_tok_baseline
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unicausal_tok_baseline` is a English model originally trained by tanfiona.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unicausal_tok_baseline_en_5.2.0_3.0_1699387468133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unicausal_tok_baseline_en_5.2.0_3.0_1699387468133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unicausal_tok_baseline|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/tanfiona/unicausal-tok-baseline
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-urdu_bert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-07-urdu_bert_ner_en.md
new file mode 100644
index 000000000000..0c1c2af896f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-urdu_bert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English urdu_bert_ner BertForTokenClassification from mirfan899
+author: John Snow Labs
+name: urdu_bert_ner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`urdu_bert_ner` is a English model originally trained by mirfan899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/urdu_bert_ner_en_5.2.0_3.0_1699399089364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/urdu_bert_ner_en_5.2.0_3.0_1699399089364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|urdu_bert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/mirfan899/urdu-bert-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-vila_scibert_cased_s2vl_en.md b/docs/_posts/ahmedlone127/2023-11-07-vila_scibert_cased_s2vl_en.md
new file mode 100644
index 000000000000..5fea228cf27e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-vila_scibert_cased_s2vl_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English vila_scibert_cased_s2vl BertForTokenClassification from allenai
+author: John Snow Labs
+name: vila_scibert_cased_s2vl
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vila_scibert_cased_s2vl` is a English model originally trained by allenai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vila_scibert_cased_s2vl_en_5.2.0_3.0_1699385199476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vila_scibert_cased_s2vl_en_5.2.0_3.0_1699385199476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vila_scibert_cased_s2vl|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/allenai/vila-scibert-cased-s2vl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-wikiser_bert_base_en.md b/docs/_posts/ahmedlone127/2023-11-07-wikiser_bert_base_en.md
new file mode 100644
index 000000000000..c5eaae7f10f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-wikiser_bert_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English wikiser_bert_base BertForTokenClassification from taidng
+author: John Snow Labs
+name: wikiser_bert_base
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wikiser_bert_base` is a English model originally trained by taidng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wikiser_bert_base_en_5.2.0_3.0_1699384974903.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wikiser_bert_base_en_5.2.0_3.0_1699384974903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wikiser_bert_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/taidng/wikiser-bert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-wikiser_bert_large_en.md b/docs/_posts/ahmedlone127/2023-11-07-wikiser_bert_large_en.md
new file mode 100644
index 000000000000..7d10346d6b35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-wikiser_bert_large_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English wikiser_bert_large BertForTokenClassification from taidng
+author: John Snow Labs
+name: wikiser_bert_large
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wikiser_bert_large` is a English model originally trained by taidng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wikiser_bert_large_en_5.2.0_3.0_1699387224834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wikiser_bert_large_en_5.2.0_3.0_1699387224834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wikiser_bert_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/taidng/wikiser-bert-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-07-zeroshotbioner_en.md b/docs/_posts/ahmedlone127/2023-11-07-zeroshotbioner_en.md
new file mode 100644
index 000000000000..38ec98ccaa8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-07-zeroshotbioner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English zeroshotbioner BertForTokenClassification from ProdicusII
+author: John Snow Labs
+name: zeroshotbioner
+date: 2023-11-07
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`zeroshotbioner` is a English model originally trained by ProdicusII.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/zeroshotbioner_en_5.2.0_3.0_1699386730433.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/zeroshotbioner_en_5.2.0_3.0_1699386730433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|zeroshotbioner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.2 MB|
+
+## References
+
+https://huggingface.co/ProdicusII/ZeroShotBioNER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-11_711_project_2_en.md b/docs/_posts/ahmedlone127/2023-11-08-11_711_project_2_en.md
new file mode 100644
index 000000000000..5e34a0960c0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-11_711_project_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English 11_711_project_2 BertForTokenClassification from yitengm
+author: John Snow Labs
+name: 11_711_project_2
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`11_711_project_2` is a English model originally trained by yitengm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/11_711_project_2_en_5.2.0_3.0_1699431406724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/11_711_project_2_en_5.2.0_3.0_1699431406724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adres_ner_v2_bert_128k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|tr|
+|Size:|689.0 MB|
+
+## References
+
+https://huggingface.co/deprem-ml/adres_ner_v2_bert_128k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-aldi_token_di_en.md b/docs/_posts/ahmedlone127/2023-11-08-aldi_token_di_en.md
new file mode 100644
index 000000000000..9ceea3604936
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-aldi_token_di_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English aldi_token_di BertForTokenClassification from AMR-KELEG
+author: John Snow Labs
+name: aldi_token_di
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aldi_token_di` is a English model originally trained by AMR-KELEG.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aldi_token_di_en_5.2.0_3.0_1699435695095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aldi_token_di_en_5.2.0_3.0_1699435695095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aldi_token_di|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|608.7 MB|
+
+## References
+
+https://huggingface.co/AMR-KELEG/ALDi-Token-DI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-all_15_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-all_15_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..db05f7e24ab5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-all_15_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English all_15_bert_finetuned_ner BertForTokenClassification from leo93
+author: John Snow Labs
+name: all_15_bert_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_15_bert_finetuned_ner` is a English model originally trained by leo93.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_15_bert_finetuned_ner_en_5.2.0_3.0_1699411430446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_15_bert_finetuned_ner_en_5.2.0_3.0_1699411430446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_15_bert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/leo93/all-15-bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-arabert_finetuned_caner_en.md b/docs/_posts/ahmedlone127/2023-11-08-arabert_finetuned_caner_en.md
new file mode 100644
index 000000000000..8822850a1bd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-arabert_finetuned_caner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English arabert_finetuned_caner BertForTokenClassification from Montazer
+author: John Snow Labs
+name: arabert_finetuned_caner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabert_finetuned_caner` is a English model originally trained by Montazer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert_finetuned_caner_en_5.2.0_3.0_1699464760507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_finetuned_caner_en_5.2.0_3.0_1699464760507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert_finetuned_caner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.2 MB|
+
+## References
+
+https://huggingface.co/Montazer/arabert-finetuned-caner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-archaeobert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-archaeobert_ner_en.md
new file mode 100644
index 000000000000..943d00e0c708
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-archaeobert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English archaeobert_ner BertForTokenClassification from alexbrandsen
+author: John Snow Labs
+name: archaeobert_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`archaeobert_ner` is a English model originally trained by alexbrandsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/archaeobert_ner_en_5.2.0_3.0_1699419891519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/archaeobert_ner_en_5.2.0_3.0_1699419891519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|archaeobert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/alexbrandsen/ArchaeoBERT-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-archeological_ner_english_en.md b/docs/_posts/ahmedlone127/2023-11-08-archeological_ner_english_en.md
new file mode 100644
index 000000000000..d19c16332789
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-archeological_ner_english_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English archeological_ner_english BertForTokenClassification from nicolauduran45
+author: John Snow Labs
+name: archeological_ner_english
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`archeological_ner_english` is a English model originally trained by nicolauduran45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/archeological_ner_english_en_5.2.0_3.0_1699444479821.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/archeological_ner_english_en_5.2.0_3.0_1699444479821.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|archeological_ner_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/nicolauduran45/archeological_ner_en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-assignment2_attempt10_en.md b/docs/_posts/ahmedlone127/2023-11-08-assignment2_attempt10_en.md
new file mode 100644
index 000000000000..fb6213c446de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-assignment2_attempt10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English assignment2_attempt10 BertForTokenClassification from mpalaval
+author: John Snow Labs
+name: assignment2_attempt10
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`assignment2_attempt10` is a English model originally trained by mpalaval.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/assignment2_attempt10_en_5.2.0_3.0_1699418198251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/assignment2_attempt10_en_5.2.0_3.0_1699418198251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|assignment2_attempt10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mpalaval/assignment2_attempt10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-assignment2_attempt11_en.md b/docs/_posts/ahmedlone127/2023-11-08-assignment2_attempt11_en.md
new file mode 100644
index 000000000000..eef01be57d98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-assignment2_attempt11_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English assignment2_attempt11 BertForTokenClassification from mpalaval
+author: John Snow Labs
+name: assignment2_attempt11
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`assignment2_attempt11` is a English model originally trained by mpalaval.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/assignment2_attempt11_en_5.2.0_3.0_1699428569679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/assignment2_attempt11_en_5.2.0_3.0_1699428569679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|assignment2_attempt11|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mpalaval/assignment2_attempt11
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-autotrain_ner_8_86129142996_en.md b/docs/_posts/ahmedlone127/2023-11-08-autotrain_ner_8_86129142996_en.md
new file mode 100644
index 000000000000..f92a25de9fd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-autotrain_ner_8_86129142996_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English autotrain_ner_8_86129142996 BertForTokenClassification from smirki
+author: John Snow Labs
+name: autotrain_ner_8_86129142996
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_ner_8_86129142996` is a English model originally trained by smirki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_ner_8_86129142996_en_5.2.0_3.0_1699448171608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_ner_8_86129142996_en_5.2.0_3.0_1699448171608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_ner_8_86129142996|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/smirki/autotrain-ner-8-86129142996
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-autotrain_re_syn_cleanedtext_bert_55272128958_en.md b/docs/_posts/ahmedlone127/2023-11-08-autotrain_re_syn_cleanedtext_bert_55272128958_en.md
new file mode 100644
index 000000000000..915982ba6be7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-autotrain_re_syn_cleanedtext_bert_55272128958_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English autotrain_re_syn_cleanedtext_bert_55272128958 BertForTokenClassification from sxandie
+author: John Snow Labs
+name: autotrain_re_syn_cleanedtext_bert_55272128958
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_re_syn_cleanedtext_bert_55272128958` is a English model originally trained by sxandie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_re_syn_cleanedtext_bert_55272128958_en_5.2.0_3.0_1699416369016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_re_syn_cleanedtext_bert_55272128958_en_5.2.0_3.0_1699416369016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_re_syn_cleanedtext_bert_55272128958|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/sxandie/autotrain-re_syn_cleanedtext_bert-55272128958
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert4ner_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert4ner_base_uncased_en.md
new file mode 100644
index 000000000000..4a7200f0817d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert4ner_base_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert4ner_base_uncased BertForTokenClassification from shibing624
+author: John Snow Labs
+name: bert4ner_base_uncased
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert4ner_base_uncased` is a English model originally trained by shibing624.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert4ner_base_uncased_en_5.2.0_3.0_1699429469899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert4ner_base_uncased_en_5.2.0_3.0_1699429469899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert4ner_base_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/shibing624/bert4ner-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_bangla_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_bangla_ner_en.md
new file mode 100644
index 000000000000..b303f659092c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_bangla_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_bangla_ner BertForTokenClassification from Kowsher
+author: John Snow Labs
+name: bert_base_bangla_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_bangla_ner` is a English model originally trained by Kowsher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_bangla_ner_en_5.2.0_3.0_1699472427679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_bangla_ner_en_5.2.0_3.0_1699472427679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_bangla_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|612.1 MB|
+
+## References
+
+https://huggingface.co/Kowsher/bert-base-bangla-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_cased_finetuned_ner_intpc_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_cased_finetuned_ner_intpc_en.md
new file mode 100644
index 000000000000..a168be252181
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_cased_finetuned_ner_intpc_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_ner_intpc BertForTokenClassification from intpc
+author: John Snow Labs
+name: bert_base_cased_finetuned_ner_intpc
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_ner_intpc` is a English model originally trained by intpc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_intpc_en_5.2.0_3.0_1699465436849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_intpc_en_5.2.0_3.0_1699465436849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_ner_intpc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/intpc/bert-base-cased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_cased_ner_conll2003_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_cased_ner_conll2003_finetuned_ner_en.md
new file mode 100644
index 000000000000..999429f73393
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_cased_ner_conll2003_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_ner_conll2003_finetuned_ner BertForTokenClassification from codenet
+author: John Snow Labs
+name: bert_base_cased_ner_conll2003_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_ner_conll2003_finetuned_ner` is a English model originally trained by codenet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_ner_conll2003_finetuned_ner_en_5.2.0_3.0_1699440670490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_ner_conll2003_finetuned_ner_en_5.2.0_3.0_1699440670490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_ner_conll2003_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/codenet/bert-base-cased-ner-conll2003-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_chinese_finetuned_ner_agdsga_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_chinese_finetuned_ner_agdsga_en.md
new file mode 100644
index 000000000000..4c6a7334d6a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_chinese_finetuned_ner_agdsga_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_chinese_finetuned_ner_agdsga BertForTokenClassification from agdsga
+author: John Snow Labs
+name: bert_base_chinese_finetuned_ner_agdsga
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_finetuned_ner_agdsga` is a English model originally trained by agdsga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_ner_agdsga_en_5.2.0_3.0_1699444328802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_ner_agdsga_en_5.2.0_3.0_1699444328802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_finetuned_ner_agdsga|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.3 MB|
+
+## References
+
+https://huggingface.co/agdsga/bert-base-chinese-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_chinese_finetuned_split_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_chinese_finetuned_split_en.md
new file mode 100644
index 000000000000..2fdfcab9c9c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_chinese_finetuned_split_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_chinese_finetuned_split BertForTokenClassification from zhiguoxu
+author: John Snow Labs
+name: bert_base_chinese_finetuned_split
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_finetuned_split` is a English model originally trained by zhiguoxu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_split_en_5.2.0_3.0_1699407784326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_finetuned_split_en_5.2.0_3.0_1699407784326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_finetuned_split|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.2 MB|
+
+## References
+
+https://huggingface.co/zhiguoxu/bert-base-chinese-finetuned-split
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_finetuned_ner_en.md
new file mode 100644
index 000000000000..06a05e3c8272
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_finetuned_ner BertForTokenClassification from eeshclusive
+author: John Snow Labs
+name: bert_base_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_finetuned_ner` is a English model originally trained by eeshclusive.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ner_en_5.2.0_3.0_1699406360106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_finetuned_ner_en_5.2.0_3.0_1699406360106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/eeshclusive/bert-base-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_german_finetuned_ler_de.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_german_finetuned_ler_de.md
new file mode 100644
index 000000000000..6d1c11203b84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_german_finetuned_ler_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German bert_base_german_finetuned_ler BertForTokenClassification from mrm8488
+author: John Snow Labs
+name: bert_base_german_finetuned_ler
+date: 2023-11-08
+tags: [bert, de, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_german_finetuned_ler` is a German model originally trained by mrm8488.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_finetuned_ler_de_5.2.0_3.0_1699451946318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_finetuned_ler_de_5.2.0_3.0_1699451946318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_ner_theseus_bulgarian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|bg|
+|Size:|505.6 MB|
+
+## References
+
+https://huggingface.co/rmihaylov/bert-base-ner-theseus-bg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_portuguese_cased_harem_selective_lowc_samoan_first_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_portuguese_cased_harem_selective_lowc_samoan_first_ner_en.md
new file mode 100644
index 000000000000..34d314af8445
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_portuguese_cased_harem_selective_lowc_samoan_first_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_portuguese_cased_harem_selective_lowc_samoan_first_ner BertForTokenClassification from jordyvl
+author: John Snow Labs
+name: bert_base_portuguese_cased_harem_selective_lowc_samoan_first_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_portuguese_cased_harem_selective_lowc_samoan_first_ner` is a English model originally trained by jordyvl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_harem_selective_lowc_samoan_first_ner_en_5.2.0_3.0_1699429469981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_harem_selective_lowc_samoan_first_ner_en_5.2.0_3.0_1699429469981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_portuguese_cased_harem_selective_lowc_samoan_first_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/jordyvl/bert-base-portuguese-cased_harem-selective-lowC-sm-first-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_portuguese_cased_harem_selective_samoan_first_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_portuguese_cased_harem_selective_samoan_first_ner_en.md
new file mode 100644
index 000000000000..d671ad9c6491
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_portuguese_cased_harem_selective_samoan_first_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_portuguese_cased_harem_selective_samoan_first_ner BertForTokenClassification from jordyvl
+author: John Snow Labs
+name: bert_base_portuguese_cased_harem_selective_samoan_first_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_portuguese_cased_harem_selective_samoan_first_ner` is a English model originally trained by jordyvl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_harem_selective_samoan_first_ner_en_5.2.0_3.0_1699413077831.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_harem_selective_samoan_first_ner_en_5.2.0_3.0_1699413077831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_portuguese_cased_harem_selective_samoan_first_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/jordyvl/bert-base-portuguese-cased_harem-selective-sm-first-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_spanish_wwm_uncased_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_spanish_wwm_uncased_finetuned_ner_en.md
new file mode 100644
index 000000000000..e48428c15828
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_spanish_wwm_uncased_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_uncased_finetuned_ner BertForTokenClassification from dccuchile
+author: John Snow Labs
+name: bert_base_spanish_wwm_uncased_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_spanish_wwm_uncased_finetuned_ner` is a English model originally trained by dccuchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_finetuned_ner_en_5.2.0_3.0_1699407784218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_uncased_finetuned_ner_en_5.2.0_3.0_1699407784218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_uncased_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_tweetner7_2021_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_tweetner7_2021_en.md
new file mode 100644
index 000000000000..c7cc2650ed21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_tweetner7_2021_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_tweetner7_2021 BertForTokenClassification from tner
+author: John Snow Labs
+name: bert_base_tweetner7_2021
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_tweetner7_2021` is a English model originally trained by tner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_tweetner7_2021_en_5.2.0_3.0_1699463053326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_tweetner7_2021_en_5.2.0_3.0_1699463053326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_tweetner7_2021|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/tner/bert-base-tweetner7-2021
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_brands_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_brands_en.md
new file mode 100644
index 000000000000..eebd2bcf60f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_brands_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_brands BertForTokenClassification from tp-runport
+author: John Snow Labs
+name: bert_base_uncased_brands
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_brands` is a English model originally trained by tp-runport.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_brands_en_5.2.0_3.0_1699463224622.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_brands_en_5.2.0_3.0_1699463224622.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_brands|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/tp-runport/bert-base-uncased-brands
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_finetuned_ner_arbert_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_finetuned_ner_arbert_en.md
new file mode 100644
index 000000000000..ab71b8f4dd06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_finetuned_ner_arbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_ner_arbert BertForTokenClassification from ArBert
+author: John Snow Labs
+name: bert_base_uncased_finetuned_ner_arbert
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_ner_arbert` is a English model originally trained by ArBert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_ner_arbert_en_5.2.0_3.0_1699439046014.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_ner_arbert_en_5.2.0_3.0_1699439046014.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_ner_arbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ArBert/bert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_finetuned_ner_kmeans_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_finetuned_ner_kmeans_en.md
new file mode 100644
index 000000000000..351b17a9c826
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_finetuned_ner_kmeans_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_ner_kmeans BertForTokenClassification from ArBert
+author: John Snow Labs
+name: bert_base_uncased_finetuned_ner_kmeans
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_ner_kmeans` is a English model originally trained by ArBert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_ner_kmeans_en_5.2.0_3.0_1699450340620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_ner_kmeans_en_5.2.0_3.0_1699450340620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_ner_kmeans|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/ArBert/bert-base-uncased-finetuned-ner-kmeans
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_finetuned_ner_sohamtiwari3120_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_finetuned_ner_sohamtiwari3120_en.md
new file mode 100644
index 000000000000..07ffa5b8fbe2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_base_uncased_finetuned_ner_sohamtiwari3120_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_ner_sohamtiwari3120 BertForTokenClassification from sohamtiwari3120
+author: John Snow Labs
+name: bert_base_uncased_finetuned_ner_sohamtiwari3120
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_ner_sohamtiwari3120` is a English model originally trained by sohamtiwari3120.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_ner_sohamtiwari3120_en_5.2.0_3.0_1699406908805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_ner_sohamtiwari3120_en_5.2.0_3.0_1699406908805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_bulgarian_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|bg|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/auhide/bert-bg-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_cased_keyword_discriminator_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_cased_keyword_discriminator_en.md
new file mode 100644
index 000000000000..7bd24d43a136
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_cased_keyword_discriminator_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_cased_keyword_discriminator BertForTokenClassification from yanekyuk
+author: John Snow Labs
+name: bert_cased_keyword_discriminator
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_cased_keyword_discriminator` is a English model originally trained by yanekyuk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cased_keyword_discriminator_en_5.2.0_3.0_1699478026532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cased_keyword_discriminator_en_5.2.0_3.0_1699478026532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cased_keyword_discriminator|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/yanekyuk/bert-cased-keyword-discriminator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_dbmdz_3760_split_by_sentence_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_dbmdz_3760_split_by_sentence_en.md
new file mode 100644
index 000000000000..5bea4f6163ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_dbmdz_3760_split_by_sentence_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_dbmdz_3760_split_by_sentence BertForTokenClassification from Gurkan
+author: John Snow Labs
+name: bert_dbmdz_3760_split_by_sentence
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_dbmdz_3760_split_by_sentence` is a English model originally trained by Gurkan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_dbmdz_3760_split_by_sentence_en_5.2.0_3.0_1699480089184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_dbmdz_3760_split_by_sentence_en_5.2.0_3.0_1699480089184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_dbmdz_3760_split_by_sentence|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/Gurkan/bert_dbmdz_3760_split_by_sentence_
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_bpmn_jtlicardo_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_bpmn_jtlicardo_en.md
new file mode 100644
index 000000000000..fe4c6e928517
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_bpmn_jtlicardo_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_bpmn_jtlicardo BertForTokenClassification from jtlicardo
+author: John Snow Labs
+name: bert_finetuned_bpmn_jtlicardo
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_bpmn_jtlicardo` is a English model originally trained by jtlicardo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_bpmn_jtlicardo_en_5.2.0_3.0_1699476803115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_bpmn_jtlicardo_en_5.2.0_3.0_1699476803115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_bpmn_jtlicardo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jtlicardo/bert-finetuned-bpmn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_food_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_food_en.md
new file mode 100644
index 000000000000..e7a24103c3e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_food_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_food BertForTokenClassification from ZachBeesley
+author: John Snow Labs
+name: bert_finetuned_food
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_food` is a English model originally trained by ZachBeesley.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_food_en_5.2.0_3.0_1699463440797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_food_en_5.2.0_3.0_1699463440797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_food|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/ZachBeesley/bert-finetuned-food
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_abkbvknv_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_abkbvknv_en.md
new file mode 100644
index 000000000000..5a9b9f0fed76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_abkbvknv_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_abkbvknv BertForTokenClassification from abkbvknv
+author: John Snow Labs
+name: bert_finetuned_ner_abkbvknv
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_abkbvknv` is a English model originally trained by abkbvknv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_abkbvknv_en_5.2.0_3.0_1699476310537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_abkbvknv_en_5.2.0_3.0_1699476310537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_abkbvknv|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/abkbvknv/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_abx_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_abx_en.md
new file mode 100644
index 000000000000..59086101249e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_abx_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_abx BertForTokenClassification from abx
+author: John Snow Labs
+name: bert_finetuned_ner_abx
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_abx` is a English model originally trained by abx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_abx_en_5.2.0_3.0_1699471734172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_abx_en_5.2.0_3.0_1699471734172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_abx|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/abx/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_accelerate_atajti_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_accelerate_atajti_en.md
new file mode 100644
index 000000000000..a09156078a89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_accelerate_atajti_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_accelerate_atajti BertForTokenClassification from atajti
+author: John Snow Labs
+name: bert_finetuned_ner_accelerate_atajti
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_accelerate_atajti` is a English model originally trained by atajti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_accelerate_atajti_en_5.2.0_3.0_1699424845393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_accelerate_atajti_en_5.2.0_3.0_1699424845393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_accelerate_atajti|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/atajti/bert-finetuned-ner-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_accelerate_loganathanspr_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_accelerate_loganathanspr_en.md
new file mode 100644
index 000000000000..87a6b0e78664
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_accelerate_loganathanspr_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_accelerate_loganathanspr BertForTokenClassification from loganathanspr
+author: John Snow Labs
+name: bert_finetuned_ner_accelerate_loganathanspr
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_accelerate_loganathanspr` is a English model originally trained by loganathanspr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_accelerate_loganathanspr_en_5.2.0_3.0_1699431095812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_accelerate_loganathanspr_en_5.2.0_3.0_1699431095812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_accelerate_loganathanspr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/loganathanspr/bert-finetuned-ner-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_accelerate_schubertcarvalho_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_accelerate_schubertcarvalho_en.md
new file mode 100644
index 000000000000..d8ddf531e557
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_accelerate_schubertcarvalho_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_accelerate_schubertcarvalho BertForTokenClassification from schubertcarvalho
+author: John Snow Labs
+name: bert_finetuned_ner_accelerate_schubertcarvalho
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_accelerate_schubertcarvalho` is a English model originally trained by schubertcarvalho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_accelerate_schubertcarvalho_en_5.2.0_3.0_1699478541167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_accelerate_schubertcarvalho_en_5.2.0_3.0_1699478541167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_accelerate_schubertcarvalho|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/schubertcarvalho/bert-finetuned-ner-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_adeep028_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_adeep028_en.md
new file mode 100644
index 000000000000..f39d7e70c663
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_adeep028_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_adeep028 BertForTokenClassification from adeep028
+author: John Snow Labs
+name: bert_finetuned_ner_adeep028
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_adeep028` is a English model originally trained by adeep028.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_adeep028_en_5.2.0_3.0_1699484792071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_adeep028_en_5.2.0_3.0_1699484792071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_adeep028|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/adeep028/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_aiventurer_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_aiventurer_en.md
new file mode 100644
index 000000000000..c82d285ebe7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_aiventurer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_aiventurer BertForTokenClassification from AIventurer
+author: John Snow Labs
+name: bert_finetuned_ner_aiventurer
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_aiventurer` is a English model originally trained by AIventurer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_aiventurer_en_5.2.0_3.0_1699438549343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_aiventurer_en_5.2.0_3.0_1699438549343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_aiventurer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/AIventurer/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_andersonjas_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_andersonjas_en.md
new file mode 100644
index 000000000000..9dad5ad5b31f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_andersonjas_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_andersonjas BertForTokenClassification from andersonjas
+author: John Snow Labs
+name: bert_finetuned_ner_andersonjas
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_andersonjas` is a English model originally trained by andersonjas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_andersonjas_en_5.2.0_3.0_1699463210511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_andersonjas_en_5.2.0_3.0_1699463210511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_andersonjas|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/andersonjas/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_augment_3_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_augment_3_en.md
new file mode 100644
index 000000000000..ba42676d420a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_augment_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_augment_3 BertForTokenClassification from lamthanhtin2811
+author: John Snow Labs
+name: bert_finetuned_ner_augment_3
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_augment_3` is a English model originally trained by lamthanhtin2811.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_augment_3_en_5.2.0_3.0_1699452263781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_augment_3_en_5.2.0_3.0_1699452263781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_augment_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/lamthanhtin2811/bert_finetuned-ner-augment-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_augment_5_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_augment_5_en.md
new file mode 100644
index 000000000000..62afe00b31d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_augment_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_augment_5 BertForTokenClassification from lamthanhtin2811
+author: John Snow Labs
+name: bert_finetuned_ner_augment_5
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_augment_5` is a English model originally trained by lamthanhtin2811.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_augment_5_en_5.2.0_3.0_1699481374984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_augment_5_en_5.2.0_3.0_1699481374984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_augment_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/lamthanhtin2811/bert_finetuned-ner-augment-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_averageandyyy_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_averageandyyy_en.md
new file mode 100644
index 000000000000..664ceb73b556
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_averageandyyy_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_averageandyyy BertForTokenClassification from averageandyyy
+author: John Snow Labs
+name: bert_finetuned_ner_averageandyyy
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_averageandyyy` is a English model originally trained by averageandyyy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_averageandyyy_en_5.2.0_3.0_1699474095045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_averageandyyy_en_5.2.0_3.0_1699474095045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_averageandyyy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/averageandyyy/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_azuresonance_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_azuresonance_en.md
new file mode 100644
index 000000000000..cc5444bb17cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_azuresonance_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_azuresonance BertForTokenClassification from azuresonance
+author: John Snow Labs
+name: bert_finetuned_ner_azuresonance
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_azuresonance` is a English model originally trained by azuresonance.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_azuresonance_en_5.2.0_3.0_1699485335096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_azuresonance_en_5.2.0_3.0_1699485335096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_azuresonance|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/azuresonance/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_canliu_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_canliu_en.md
new file mode 100644
index 000000000000..59bf782c839d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_canliu_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_canliu BertForTokenClassification from canLiu
+author: John Snow Labs
+name: bert_finetuned_ner_canliu
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_canliu` is a English model originally trained by canLiu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_canliu_en_5.2.0_3.0_1699452264032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_canliu_en_5.2.0_3.0_1699452264032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_canliu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/canLiu/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_carmeco_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_carmeco_en.md
new file mode 100644
index 000000000000..9d4423a67d1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_carmeco_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_carmeco BertForTokenClassification from carmeco
+author: John Snow Labs
+name: bert_finetuned_ner_carmeco
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_carmeco` is a English model originally trained by carmeco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_carmeco_en_5.2.0_3.0_1699483849061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_carmeco_en_5.2.0_3.0_1699483849061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_carmeco|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/carmeco/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_chinese_people_daily_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_chinese_people_daily_en.md
new file mode 100644
index 000000000000..6ab925d7f738
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_chinese_people_daily_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_chinese_people_daily BertForTokenClassification from johnyyhk
+author: John Snow Labs
+name: bert_finetuned_ner_chinese_people_daily
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_chinese_people_daily` is a English model originally trained by johnyyhk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_chinese_people_daily_en_5.2.0_3.0_1699415561401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_chinese_people_daily_en_5.2.0_3.0_1699415561401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_chinese_people_daily|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/johnyyhk/bert-finetuned-ner-chinese-people-daily
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_chunfengw_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_chunfengw_en.md
new file mode 100644
index 000000000000..8cbdf50ad05d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_chunfengw_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_chunfengw BertForTokenClassification from chunfengw
+author: John Snow Labs
+name: bert_finetuned_ner_chunfengw
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_chunfengw` is a English model originally trained by chunfengw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_chunfengw_en_5.2.0_3.0_1699441333408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_chunfengw_en_5.2.0_3.0_1699441333408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_chunfengw|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/chunfengw/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_clarechen101_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_clarechen101_en.md
new file mode 100644
index 000000000000..45bdb00cdfed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_clarechen101_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_clarechen101 BertForTokenClassification from clarechen101
+author: John Snow Labs
+name: bert_finetuned_ner_clarechen101
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_clarechen101` is a English model originally trained by clarechen101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_clarechen101_en_5.2.0_3.0_1699452733657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_clarechen101_en_5.2.0_3.0_1699452733657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_clarechen101|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/clarechen101/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_cleandata_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_cleandata_en.md
new file mode 100644
index 000000000000..c46acab90000
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_cleandata_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_cleandata BertForTokenClassification from cleandata
+author: John Snow Labs
+name: bert_finetuned_ner_cleandata
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_cleandata` is a English model originally trained by cleandata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_cleandata_en_5.2.0_3.0_1699486241285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_cleandata_en_5.2.0_3.0_1699486241285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_cleandata|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/cleandata/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_dxiao_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_dxiao_en.md
new file mode 100644
index 000000000000..3c23cbabdfc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_dxiao_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_dxiao BertForTokenClassification from dxiao
+author: John Snow Labs
+name: bert_finetuned_ner_dxiao
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_dxiao` is a English model originally trained by dxiao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_dxiao_en_5.2.0_3.0_1699474723944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_dxiao_en_5.2.0_3.0_1699474723944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_dxiao|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/dxiao/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_erickrribeiro_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_erickrribeiro_en.md
new file mode 100644
index 000000000000..b6a5631994cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_erickrribeiro_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_erickrribeiro BertForTokenClassification from erickrribeiro
+author: John Snow Labs
+name: bert_finetuned_ner_erickrribeiro
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_erickrribeiro` is a English model originally trained by erickrribeiro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_erickrribeiro_en_5.2.0_3.0_1699420390755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_erickrribeiro_en_5.2.0_3.0_1699420390755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_erickrribeiro|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/erickrribeiro/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_gabrielzang_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_gabrielzang_en.md
new file mode 100644
index 000000000000..52d5b9e6a363
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_gabrielzang_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_gabrielzang BertForTokenClassification from gabrielZang
+author: John Snow Labs
+name: bert_finetuned_ner_gabrielzang
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_gabrielzang` is a English model originally trained by gabrielZang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_gabrielzang_en_5.2.0_3.0_1699480304465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_gabrielzang_en_5.2.0_3.0_1699480304465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_gabrielzang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/gabrielZang/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_happy_ditto_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_happy_ditto_en.md
new file mode 100644
index 000000000000..86528e4b03eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_happy_ditto_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_happy_ditto BertForTokenClassification from happy-ditto
+author: John Snow Labs
+name: bert_finetuned_ner_happy_ditto
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_happy_ditto` is a English model originally trained by happy-ditto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_happy_ditto_en_5.2.0_3.0_1699408911205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_happy_ditto_en_5.2.0_3.0_1699408911205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_happy_ditto|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/happy-ditto/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_heek_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_heek_en.md
new file mode 100644
index 000000000000..23eb4d45f8e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_heek_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_heek BertForTokenClassification from HeeK
+author: John Snow Labs
+name: bert_finetuned_ner_heek
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_heek` is a English model originally trained by HeeK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_heek_en_5.2.0_3.0_1699470138038.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_heek_en_5.2.0_3.0_1699470138038.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_heek|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/HeeK/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_heenamir_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_heenamir_en.md
new file mode 100644
index 000000000000..8c64a365272b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_heenamir_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_heenamir BertForTokenClassification from heenamir
+author: John Snow Labs
+name: bert_finetuned_ner_heenamir
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_heenamir` is a English model originally trained by heenamir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_heenamir_en_5.2.0_3.0_1699408228945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_heenamir_en_5.2.0_3.0_1699408228945.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_heenamir|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/heenamir/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_ishantja_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_ishantja_en.md
new file mode 100644
index 000000000000..f367a9c2c5fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_ishantja_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_ishantja BertForTokenClassification from ishantja
+author: John Snow Labs
+name: bert_finetuned_ner_ishantja
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_ishantja` is a English model originally trained by ishantja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_ishantja_en_5.2.0_3.0_1699455206142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_ishantja_en_5.2.0_3.0_1699455206142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_ishantja|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/ishantja/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_jake777_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_jake777_en.md
new file mode 100644
index 000000000000..d81db9dd5e00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_jake777_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_jake777 BertForTokenClassification from JAKE777
+author: John Snow Labs
+name: bert_finetuned_ner_jake777
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_jake777` is a English model originally trained by JAKE777.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jake777_en_5.2.0_3.0_1699483115053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jake777_en_5.2.0_3.0_1699483115053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_jake777|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/JAKE777/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_jmoraes_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_jmoraes_en.md
new file mode 100644
index 000000000000..693bafc543cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_jmoraes_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_jmoraes BertForTokenClassification from jmoraes
+author: John Snow Labs
+name: bert_finetuned_ner_jmoraes
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_jmoraes` is a English model originally trained by jmoraes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jmoraes_en_5.2.0_3.0_1699463527900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jmoraes_en_5.2.0_3.0_1699463527900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_jmoraes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jmoraes/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_joannaandrews_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_joannaandrews_en.md
new file mode 100644
index 000000000000..3a79a2031fd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_joannaandrews_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_joannaandrews BertForTokenClassification from JoannaAndrews
+author: John Snow Labs
+name: bert_finetuned_ner_joannaandrews
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_joannaandrews` is a English model originally trained by JoannaAndrews.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_joannaandrews_en_5.2.0_3.0_1699411150741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_joannaandrews_en_5.2.0_3.0_1699411150741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_joannaandrews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/JoannaAndrews/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_joaomonteiro_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_joaomonteiro_en.md
new file mode 100644
index 000000000000..a1e7707d31c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_joaomonteiro_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_joaomonteiro BertForTokenClassification from joaomonteiro
+author: John Snow Labs
+name: bert_finetuned_ner_joaomonteiro
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_joaomonteiro` is a English model originally trained by joaomonteiro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_joaomonteiro_en_5.2.0_3.0_1699463015152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_joaomonteiro_en_5.2.0_3.0_1699463015152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_joaomonteiro|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/joaomonteiro/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_johnyyhk_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_johnyyhk_en.md
new file mode 100644
index 000000000000..4256d3c14177
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_johnyyhk_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_johnyyhk BertForTokenClassification from johnyyhk
+author: John Snow Labs
+name: bert_finetuned_ner_johnyyhk
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_johnyyhk` is a English model originally trained by johnyyhk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_johnyyhk_en_5.2.0_3.0_1699480210971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_johnyyhk_en_5.2.0_3.0_1699480210971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_johnyyhk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/johnyyhk/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_jperezv_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_jperezv_en.md
new file mode 100644
index 000000000000..51d36f1d9d6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_jperezv_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_jperezv BertForTokenClassification from jperezv
+author: John Snow Labs
+name: bert_finetuned_ner_jperezv
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_jperezv` is a English model originally trained by jperezv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jperezv_en_5.2.0_3.0_1699485262486.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jperezv_en_5.2.0_3.0_1699485262486.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_jperezv|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jperezv/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_loganathanspr_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_loganathanspr_en.md
new file mode 100644
index 000000000000..0e61da9c37e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_loganathanspr_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_loganathanspr BertForTokenClassification from loganathanspr
+author: John Snow Labs
+name: bert_finetuned_ner_loganathanspr
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_loganathanspr` is a English model originally trained by loganathanspr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_loganathanspr_en_5.2.0_3.0_1699448171578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_loganathanspr_en_5.2.0_3.0_1699448171578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_loganathanspr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/loganathanspr/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_louislian2341_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_louislian2341_en.md
new file mode 100644
index 000000000000..9262b72cad8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_louislian2341_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_louislian2341 BertForTokenClassification from louislian2341
+author: John Snow Labs
+name: bert_finetuned_ner_louislian2341
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_louislian2341` is a English model originally trained by louislian2341.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_louislian2341_en_5.2.0_3.0_1699402395910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_louislian2341_en_5.2.0_3.0_1699402395910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_louislian2341|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/louislian2341/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_marcuslee_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_marcuslee_en.md
new file mode 100644
index 000000000000..5b29ab3df8f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_marcuslee_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_marcuslee BertForTokenClassification from MarcusLee
+author: John Snow Labs
+name: bert_finetuned_ner_marcuslee
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_marcuslee` is a English model originally trained by MarcusLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_marcuslee_en_5.2.0_3.0_1699473290406.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_marcuslee_en_5.2.0_3.0_1699473290406.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_marcuslee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/MarcusLee/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_mie_zhz_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_mie_zhz_en.md
new file mode 100644
index 000000000000..b2d4c603a3dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_mie_zhz_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_mie_zhz BertForTokenClassification from mie-zhz
+author: John Snow Labs
+name: bert_finetuned_ner_mie_zhz
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_mie_zhz` is a English model originally trained by mie-zhz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mie_zhz_en_5.2.0_3.0_1699423718558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mie_zhz_en_5.2.0_3.0_1699423718558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_mie_zhz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mie-zhz/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_miguelangelocwb_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_miguelangelocwb_en.md
new file mode 100644
index 000000000000..31844920a8c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_miguelangelocwb_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_miguelangelocwb BertForTokenClassification from MiguelAngeloCwb
+author: John Snow Labs
+name: bert_finetuned_ner_miguelangelocwb
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_miguelangelocwb` is a English model originally trained by MiguelAngeloCwb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_miguelangelocwb_en_5.2.0_3.0_1699483849077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_miguelangelocwb_en_5.2.0_3.0_1699483849077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_miguelangelocwb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/MiguelAngeloCwb/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_mmibrahim2006_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_mmibrahim2006_en.md
new file mode 100644
index 000000000000..2319d4073ac6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_mmibrahim2006_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_mmibrahim2006 BertForTokenClassification from mmibrahim2006
+author: John Snow Labs
+name: bert_finetuned_ner_mmibrahim2006
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_mmibrahim2006` is a English model originally trained by mmibrahim2006.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mmibrahim2006_en_5.2.0_3.0_1699465916697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mmibrahim2006_en_5.2.0_3.0_1699465916697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_mmibrahim2006|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mmibrahim2006/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_mpalaval_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_mpalaval_en.md
new file mode 100644
index 000000000000..504ad7dc5fcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_mpalaval_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_mpalaval BertForTokenClassification from mpalaval
+author: John Snow Labs
+name: bert_finetuned_ner_mpalaval
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_mpalaval` is a English model originally trained by mpalaval.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mpalaval_en_5.2.0_3.0_1699446270386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mpalaval_en_5.2.0_3.0_1699446270386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_mpalaval|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mpalaval/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_na20b039_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_na20b039_en.md
new file mode 100644
index 000000000000..473b2494ca5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_na20b039_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_na20b039 BertForTokenClassification from na20b039
+author: John Snow Labs
+name: bert_finetuned_ner_na20b039
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_na20b039` is a English model originally trained by na20b039.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_na20b039_en_5.2.0_3.0_1699412078538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_na20b039_en_5.2.0_3.0_1699412078538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_na20b039|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/na20b039/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_nourhanabosaeed_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_nourhanabosaeed_en.md
new file mode 100644
index 000000000000..08e6a85d86d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_nourhanabosaeed_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_nourhanabosaeed BertForTokenClassification from NourhanAbosaeed
+author: John Snow Labs
+name: bert_finetuned_ner_nourhanabosaeed
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_nourhanabosaeed` is a English model originally trained by NourhanAbosaeed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_nourhanabosaeed_en_5.2.0_3.0_1699475223881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_nourhanabosaeed_en_5.2.0_3.0_1699475223881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_nourhanabosaeed|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/NourhanAbosaeed/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_ocm_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_ocm_en.md
new file mode 100644
index 000000000000..0fac4ba54da2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_ocm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_ocm BertForTokenClassification from ocm
+author: John Snow Labs
+name: bert_finetuned_ner_ocm
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_ocm` is a English model originally trained by ocm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_ocm_en_5.2.0_3.0_1699484562255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_ocm_en_5.2.0_3.0_1699484562255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_ocm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/ocm/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_ontonotes_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_ontonotes_en.md
new file mode 100644
index 000000000000..39de3413011d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_ontonotes_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_ontonotes BertForTokenClassification from nickprock
+author: John Snow Labs
+name: bert_finetuned_ner_ontonotes
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_ontonotes` is a English model originally trained by nickprock.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_ontonotes_en_5.2.0_3.0_1699438831807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_ontonotes_en_5.2.0_3.0_1699438831807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_ontonotes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.8 MB|
+
+## References
+
+https://huggingface.co/nickprock/bert-finetuned-ner-ontonotes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_phamvanlinh143_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_phamvanlinh143_en.md
new file mode 100644
index 000000000000..28fa051adf33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_phamvanlinh143_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_phamvanlinh143 BertForTokenClassification from phamvanlinh143
+author: John Snow Labs
+name: bert_finetuned_ner_phamvanlinh143
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_phamvanlinh143` is a English model originally trained by phamvanlinh143.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_phamvanlinh143_en_5.2.0_3.0_1699480205266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_phamvanlinh143_en_5.2.0_3.0_1699480205266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_phamvanlinh143|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/phamvanlinh143/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_rajknakka_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_rajknakka_en.md
new file mode 100644
index 000000000000..e77557ba3475
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_rajknakka_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_rajknakka BertForTokenClassification from RajkNakka
+author: John Snow Labs
+name: bert_finetuned_ner_rajknakka
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_rajknakka` is a English model originally trained by RajkNakka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_rajknakka_en_5.2.0_3.0_1699467515672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_rajknakka_en_5.2.0_3.0_1699467515672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_rajknakka|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/RajkNakka/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_roverandom95_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_roverandom95_en.md
new file mode 100644
index 000000000000..62bab92b7c91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_roverandom95_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_roverandom95 BertForTokenClassification from Roverandom95
+author: John Snow Labs
+name: bert_finetuned_ner_roverandom95
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_roverandom95` is a English model originally trained by Roverandom95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_roverandom95_en_5.2.0_3.0_1699421456125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_roverandom95_en_5.2.0_3.0_1699421456125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_roverandom95|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/Roverandom95/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_sanjay7178_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_sanjay7178_en.md
new file mode 100644
index 000000000000..cf02c4754e49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_sanjay7178_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_sanjay7178 BertForTokenClassification from sanjay7178
+author: John Snow Labs
+name: bert_finetuned_ner_sanjay7178
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_sanjay7178` is a English model originally trained by sanjay7178.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_sanjay7178_en_5.2.0_3.0_1699468887582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_sanjay7178_en_5.2.0_3.0_1699468887582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_sanjay7178|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/sanjay7178/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_shadowtwin41_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_shadowtwin41_en.md
new file mode 100644
index 000000000000..c7949a156edd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_shadowtwin41_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_shadowtwin41 BertForTokenClassification from ShadowTwin41
+author: John Snow Labs
+name: bert_finetuned_ner_shadowtwin41
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_shadowtwin41` is a English model originally trained by ShadowTwin41.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_shadowtwin41_en_5.2.0_3.0_1699454308894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_shadowtwin41_en_5.2.0_3.0_1699454308894.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_shadowtwin41|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/ShadowTwin41/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_suraj_yadav_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_suraj_yadav_en.md
new file mode 100644
index 000000000000..006950e17bea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_suraj_yadav_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_suraj_yadav BertForTokenClassification from Suraj-Yadav
+author: John Snow Labs
+name: bert_finetuned_ner_suraj_yadav
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_suraj_yadav` is a English model originally trained by Suraj-Yadav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_suraj_yadav_en_5.2.0_3.0_1699418864847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_suraj_yadav_en_5.2.0_3.0_1699418864847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_suraj_yadav|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Suraj-Yadav/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_test1_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_test1_en.md
new file mode 100644
index 000000000000..99049e20d343
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_test1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_test1 BertForTokenClassification from jun-91
+author: John Snow Labs
+name: bert_finetuned_ner_test1
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_test1` is a English model originally trained by jun-91.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_test1_en_5.2.0_3.0_1699478541245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_test1_en_5.2.0_3.0_1699478541245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_test1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jun-91/bert-finetuned-ner_test1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_tofunumber1_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_tofunumber1_en.md
new file mode 100644
index 000000000000..9a99e859e434
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_tofunumber1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_tofunumber1 BertForTokenClassification from TofuNumber1
+author: John Snow Labs
+name: bert_finetuned_ner_tofunumber1
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_tofunumber1` is a English model originally trained by TofuNumber1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tofunumber1_en_5.2.0_3.0_1699470419392.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tofunumber1_en_5.2.0_3.0_1699470419392.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_tofunumber1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/TofuNumber1/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_torayeff_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_torayeff_en.md
new file mode 100644
index 000000000000..dc26f7185c54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_torayeff_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_torayeff BertForTokenClassification from torayeff
+author: John Snow Labs
+name: bert_finetuned_ner_torayeff
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_torayeff` is a English model originally trained by torayeff.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_torayeff_en_5.2.0_3.0_1699475051489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_torayeff_en_5.2.0_3.0_1699475051489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_torayeff|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/torayeff/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_trainer_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_trainer_en.md
new file mode 100644
index 000000000000..f55affab985e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_trainer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_trainer BertForTokenClassification from marcellodomenis
+author: John Snow Labs
+name: bert_finetuned_ner_trainer
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_trainer` is a English model originally trained by marcellodomenis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_trainer_en_5.2.0_3.0_1699472427597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_trainer_en_5.2.0_3.0_1699472427597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_trainer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/marcellodomenis/bert-finetuned-ner-trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_trainerapi_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_trainerapi_en.md
new file mode 100644
index 000000000000..e81fba4ca85c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_trainerapi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_trainerapi BertForTokenClassification from HeeK
+author: John Snow Labs
+name: bert_finetuned_ner_trainerapi
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_trainerapi` is a English model originally trained by HeeK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_trainerapi_en_5.2.0_3.0_1699486804911.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_trainerapi_en_5.2.0_3.0_1699486804911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_trainerapi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/HeeK/bert-finetuned-ner-trainerAPI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_tw5n14_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_tw5n14_en.md
new file mode 100644
index 000000000000..169fbb4f0187
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_tw5n14_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_tw5n14 BertForTokenClassification from tw5n14
+author: John Snow Labs
+name: bert_finetuned_ner_tw5n14
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_tw5n14` is a English model originally trained by tw5n14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tw5n14_en_5.2.0_3.0_1699418917060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_tw5n14_en_5.2.0_3.0_1699418917060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_tw5n14|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/tw5n14/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_v2_sayalik13_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_v2_sayalik13_en.md
new file mode 100644
index 000000000000..05b48371b4b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_v2_sayalik13_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_v2_sayalik13 BertForTokenClassification from sayalik13
+author: John Snow Labs
+name: bert_finetuned_ner_v2_sayalik13
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_v2_sayalik13` is a English model originally trained by sayalik13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_v2_sayalik13_en_5.2.0_3.0_1699437498638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_v2_sayalik13_en_5.2.0_3.0_1699437498638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_v2_sayalik13|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/sayalik13/bert-finetuned-ner-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_xiajun2001_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_xiajun2001_en.md
new file mode 100644
index 000000000000..d0ff16103c37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_xiajun2001_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_xiajun2001 BertForTokenClassification from xiajun2001
+author: John Snow Labs
+name: bert_finetuned_ner_xiajun2001
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_xiajun2001` is a English model originally trained by xiajun2001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_xiajun2001_en_5.2.0_3.0_1699440019645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_xiajun2001_en_5.2.0_3.0_1699440019645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_xiajun2001|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/xiajun2001/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_xinhui_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_xinhui_en.md
new file mode 100644
index 000000000000..d304d6c4d611
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_xinhui_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_xinhui BertForTokenClassification from xinhui
+author: John Snow Labs
+name: bert_finetuned_ner_xinhui
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_xinhui` is a English model originally trained by xinhui.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_xinhui_en_5.2.0_3.0_1699465195125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_xinhui_en_5.2.0_3.0_1699465195125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_xinhui|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/xinhui/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_xupengzeng_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_xupengzeng_en.md
new file mode 100644
index 000000000000..70e3cbb754b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_xupengzeng_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_xupengzeng BertForTokenClassification from xupengzeng
+author: John Snow Labs
+name: bert_finetuned_ner_xupengzeng
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_xupengzeng` is a English model originally trained by xupengzeng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_xupengzeng_en_5.2.0_3.0_1699476681135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_xupengzeng_en_5.2.0_3.0_1699476681135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_xupengzeng|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/xupengzeng/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_yitengm_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_yitengm_en.md
new file mode 100644
index 000000000000..d83954811db1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_yitengm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_yitengm BertForTokenClassification from yitengm
+author: John Snow Labs
+name: bert_finetuned_ner_yitengm
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_yitengm` is a English model originally trained by yitengm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_yitengm_en_5.2.0_3.0_1699447798020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_yitengm_en_5.2.0_3.0_1699447798020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_yitengm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/yitengm/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_yuto01_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_yuto01_en.md
new file mode 100644
index 000000000000..6b02e679c297
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_ner_yuto01_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_yuto01 BertForTokenClassification from Yuto01
+author: John Snow Labs
+name: bert_finetuned_ner_yuto01
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_yuto01` is a English model originally trained by Yuto01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_yuto01_en_5.2.0_3.0_1699487566052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_yuto01_en_5.2.0_3.0_1699487566052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_yuto01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Yuto01/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_requirements_andyuk_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_requirements_andyuk_en.md
new file mode 100644
index 000000000000..3e28de80b774
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_requirements_andyuk_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_requirements_andyuk BertForTokenClassification from andyuk
+author: John Snow Labs
+name: bert_finetuned_requirements_andyuk
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_requirements_andyuk` is a English model originally trained by andyuk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_requirements_andyuk_en_5.2.0_3.0_1699463301160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_requirements_andyuk_en_5.2.0_3.0_1699463301160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_requirements_andyuk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/andyuk/bert-finetuned-requirements
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_sst2_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_sst2_en.md
new file mode 100644
index 000000000000..55a295ac6825
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_finetuned_sst2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_sst2 BertForTokenClassification from asimokby
+author: John Snow Labs
+name: bert_finetuned_sst2
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_sst2` is a English model originally trained by asimokby.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_sst2_en_5.2.0_3.0_1699416456457.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_sst2_en_5.2.0_3.0_1699416456457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_sst2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.8 MB|
+
+## References
+
+https://huggingface.co/asimokby/bert-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_for_job_descr_parsing_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_for_job_descr_parsing_en.md
new file mode 100644
index 000000000000..fa3f0ae65999
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_for_job_descr_parsing_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_for_job_descr_parsing BertForTokenClassification from jfriduss
+author: John Snow Labs
+name: bert_for_job_descr_parsing
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_for_job_descr_parsing` is a English model originally trained by jfriduss.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_for_job_descr_parsing_en_5.2.0_3.0_1699427593459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_for_job_descr_parsing_en_5.2.0_3.0_1699427593459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_for_job_descr_parsing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|402.2 MB|
+
+## References
+
+https://huggingface.co/jfriduss/bert_for_job_descr_parsing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_german_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_german_ner_en.md
new file mode 100644
index 000000000000..1fa29a312b4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_german_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_german_ner BertForTokenClassification from lunesco
+author: John Snow Labs
+name: bert_german_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_german_ner` is a English model originally trained by lunesco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_german_ner_en_5.2.0_3.0_1699433664820.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_german_ner_en_5.2.0_3.0_1699433664820.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_german_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/lunesco/bert-german-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_mini_finetuned_ner_chinese_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_mini_finetuned_ner_chinese_en.md
new file mode 100644
index 000000000000..766ab3086869
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_mini_finetuned_ner_chinese_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_mini_finetuned_ner_chinese BertForTokenClassification from IcyKallen
+author: John Snow Labs
+name: bert_mini_finetuned_ner_chinese
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_mini_finetuned_ner_chinese` is a English model originally trained by IcyKallen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_mini_finetuned_ner_chinese_en_5.2.0_3.0_1699409083770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_mini_finetuned_ner_chinese_en_5.2.0_3.0_1699409083770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_multilingual_finetuned_xtreme_tamil_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/RamAnanth1/bert-multilingual-finetuned-xtreme-tamil-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_ner_2_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_ner_2_en.md
new file mode 100644
index 000000000000..e11975405d9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_ner_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_2 BertForTokenClassification from mpalaval
+author: John Snow Labs
+name: bert_ner_2
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_2` is a English model originally trained by mpalaval.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_2_en_5.2.0_3.0_1699446696052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_2_en_5.2.0_3.0_1699446696052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mpalaval/bert-ner-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_ner_3_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_ner_3_en.md
new file mode 100644
index 000000000000..c29388814e55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_ner_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner_3 BertForTokenClassification from mpalaval
+author: John Snow Labs
+name: bert_ner_3
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner_3` is a English model originally trained by mpalaval.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_3_en_5.2.0_3.0_1699476531212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_3_en_5.2.0_3.0_1699476531212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_ner_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mpalaval/bert-ner-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_portuguese_event_trigger_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_portuguese_event_trigger_en.md
new file mode 100644
index 000000000000..07896a2b3bdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_portuguese_event_trigger_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_portuguese_event_trigger BertForTokenClassification from lfcc
+author: John Snow Labs
+name: bert_portuguese_event_trigger
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_portuguese_event_trigger` is a English model originally trained by lfcc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_portuguese_event_trigger_en_5.2.0_3.0_1699420311858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_portuguese_event_trigger_en_5.2.0_3.0_1699420311858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_portuguese_event_trigger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/lfcc/bert-portuguese-event-trigger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_restore_punctuation_st1992_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_restore_punctuation_st1992_en.md
new file mode 100644
index 000000000000..052bebcc84cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_restore_punctuation_st1992_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_restore_punctuation_st1992 BertForTokenClassification from st1992
+author: John Snow Labs
+name: bert_restore_punctuation_st1992
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_restore_punctuation_st1992` is a English model originally trained by st1992.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_restore_punctuation_st1992_en_5.2.0_3.0_1699413684970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_restore_punctuation_st1992_en_5.2.0_3.0_1699413684970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_restore_punctuation_turkish_legacy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|tr|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/uygarkurt/bert-restore-punctuation-turkish-legacy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_small_finetuned_wnut17_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_small_finetuned_wnut17_ner_en.md
new file mode 100644
index 000000000000..7c1e04120c62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_small_finetuned_wnut17_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_small_finetuned_wnut17_ner BertForTokenClassification from muhtasham
+author: John Snow Labs
+name: bert_small_finetuned_wnut17_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_small_finetuned_wnut17_ner` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_wnut17_ner_en_5.2.0_3.0_1699422386690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_wnut17_ner_en_5.2.0_3.0_1699422386690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_finetuned_wnut17_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-finetuned-wnut17-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_small_finetuned_xglue_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_small_finetuned_xglue_ner_en.md
new file mode 100644
index 000000000000..116e4499c852
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_small_finetuned_xglue_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_small_finetuned_xglue_ner BertForTokenClassification from muhtasham
+author: John Snow Labs
+name: bert_small_finetuned_xglue_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_small_finetuned_xglue_ner` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_xglue_ner_en_5.2.0_3.0_1699408776412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_small_finetuned_xglue_ner_en_5.2.0_3.0_1699408776412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_small_finetuned_xglue_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|107.0 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-small-finetuned-xglue-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_tamil_ta.md b/docs/_posts/ahmedlone127/2023-11-08-bert_tamil_ta.md
new file mode 100644
index 000000000000..1ba3b0ebfac9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_tamil_ta.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Tamil bert_tamil BertForTokenClassification from Ambareeshkumar
+author: John Snow Labs
+name: bert_tamil
+date: 2023-11-08
+tags: [bert, ta, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: ta
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tamil` is a Tamil model originally trained by Ambareeshkumar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tamil_ta_5.2.0_3.0_1699470976452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tamil_ta_5.2.0_3.0_1699470976452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tamil|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|ta|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/Ambareeshkumar/BERT-Tamil
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_accelerate_gpu_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_accelerate_gpu_en.md
new file mode 100644
index 000000000000..ef9f4487b378
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_accelerate_gpu_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_tiny_finetuned_finer_accelerate_gpu BertForTokenClassification from muhtasham
+author: John Snow Labs
+name: bert_tiny_finetuned_finer_accelerate_gpu
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_finetuned_finer_accelerate_gpu` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_finer_accelerate_gpu_en_5.2.0_3.0_1699464760074.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_finer_accelerate_gpu_en_5.2.0_3.0_1699464760074.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_finetuned_finer_accelerate_gpu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-tiny-finetuned-finer-accelerate-gpu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_accelerate_longer_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_accelerate_longer_en.md
new file mode 100644
index 000000000000..5e37d9e0ff40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_accelerate_longer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_tiny_finetuned_finer_accelerate_longer BertForTokenClassification from muhtasham
+author: John Snow Labs
+name: bert_tiny_finetuned_finer_accelerate_longer
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_finetuned_finer_accelerate_longer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_finer_accelerate_longer_en_5.2.0_3.0_1699447139376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_finer_accelerate_longer_en_5.2.0_3.0_1699447139376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_finetuned_finer_accelerate_longer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-tiny-finetuned-finer-accelerate-longer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_en.md
new file mode 100644
index 000000000000..c1806f511a04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_tiny_finetuned_finer BertForTokenClassification from muhtasham
+author: John Snow Labs
+name: bert_tiny_finetuned_finer
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_finetuned_finer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_finer_en_5.2.0_3.0_1699409931982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_finer_en_5.2.0_3.0_1699409931982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_finetuned_finer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-tiny-finetuned-finer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_longer_en.md b/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_longer_en.md
new file mode 100644
index 000000000000..c3b6db57208c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bert_tiny_finetuned_finer_longer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_tiny_finetuned_finer_longer BertForTokenClassification from muhtasham
+author: John Snow Labs
+name: bert_tiny_finetuned_finer_longer
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_tiny_finetuned_finer_longer` is a English model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_finer_longer_en_5.2.0_3.0_1699485522802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_tiny_finetuned_finer_longer_en_5.2.0_3.0_1699485522802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_tiny_finetuned_finer_longer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/muhtasham/bert-tiny-finetuned-finer-longer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bertfortokenclassification_en.md b/docs/_posts/ahmedlone127/2023-11-08-bertfortokenclassification_en.md
new file mode 100644
index 000000000000..6d187fefffb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bertfortokenclassification_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bertfortokenclassification BertForTokenClassification from namitsingal
+author: John Snow Labs
+name: bertfortokenclassification
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertfortokenclassification` is a English model originally trained by namitsingal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertfortokenclassification_en_5.2.0_3.0_1699435292266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertfortokenclassification_en_5.2.0_3.0_1699435292266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_finetuned_fact|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/filevich/beto-finetuned-fact
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bio_clinicalbert_2e5_top10_20testset_en.md b/docs/_posts/ahmedlone127/2023-11-08-bio_clinicalbert_2e5_top10_20testset_en.md
new file mode 100644
index 000000000000..1c90c9a04bf6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bio_clinicalbert_2e5_top10_20testset_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bio_clinicalbert_2e5_top10_20testset BertForTokenClassification from alecocc
+author: John Snow Labs
+name: bio_clinicalbert_2e5_top10_20testset
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bio_clinicalbert_2e5_top10_20testset` is a English model originally trained by alecocc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_2e5_top10_20testset_en_5.2.0_3.0_1699414566133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_2e5_top10_20testset_en_5.2.0_3.0_1699414566133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bio_clinicalbert_2e5_top10_20testset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.4 MB|
+
+## References
+
+https://huggingface.co/alecocc/Bio_ClinicalBERT_2e5_top10_20testset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-biobert_base_cased_v1_2_finetuned_ner_sciarrilli_en.md b/docs/_posts/ahmedlone127/2023-11-08-biobert_base_cased_v1_2_finetuned_ner_sciarrilli_en.md
new file mode 100644
index 000000000000..054c3c51c5fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-biobert_base_cased_v1_2_finetuned_ner_sciarrilli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_base_cased_v1_2_finetuned_ner_sciarrilli BertForTokenClassification from sciarrilli
+author: John Snow Labs
+name: biobert_base_cased_v1_2_finetuned_ner_sciarrilli
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_base_cased_v1_2_finetuned_ner_sciarrilli` is a English model originally trained by sciarrilli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_base_cased_v1_2_finetuned_ner_sciarrilli_en_5.2.0_3.0_1699456511532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_base_cased_v1_2_finetuned_ner_sciarrilli_en_5.2.0_3.0_1699456511532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_base_cased_v1_2_finetuned_ner_sciarrilli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/sciarrilli/biobert-base-cased-v1.2-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-biobert_finetuned_pico_en.md b/docs/_posts/ahmedlone127/2023-11-08-biobert_finetuned_pico_en.md
new file mode 100644
index 000000000000..f5c536511b86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-biobert_finetuned_pico_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_finetuned_pico BertForTokenClassification from Stardrums
+author: John Snow Labs
+name: biobert_finetuned_pico
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_finetuned_pico` is a English model originally trained by Stardrums.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_finetuned_pico_en_5.2.0_3.0_1699436694405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_finetuned_pico_en_5.2.0_3.0_1699436694405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_finetuned_pico|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.8 MB|
+
+## References
+
+https://huggingface.co/Stardrums/biobert-finetuned-pico
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-biobert_mnli_snli_scinli_scitail_mednli_stsb_ncbi_en.md b/docs/_posts/ahmedlone127/2023-11-08-biobert_mnli_snli_scinli_scitail_mednli_stsb_ncbi_en.md
new file mode 100644
index 000000000000..86842712bc4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-biobert_mnli_snli_scinli_scitail_mednli_stsb_ncbi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_mnli_snli_scinli_scitail_mednli_stsb_ncbi BertForTokenClassification from Dogebooch
+author: John Snow Labs
+name: biobert_mnli_snli_scinli_scitail_mednli_stsb_ncbi
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_mnli_snli_scinli_scitail_mednli_stsb_ncbi` is a English model originally trained by Dogebooch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_mnli_snli_scinli_scitail_mednli_stsb_ncbi_en_5.2.0_3.0_1699474917036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_mnli_snli_scinli_scitail_mednli_stsb_ncbi_en_5.2.0_3.0_1699474917036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_mnli_snli_scinli_scitail_mednli_stsb_ncbi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/Dogebooch/BioBERT-mnli-snli-scinli-scitail-mednli-stsb-ncbi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-biobert_ner_diseases_model_en.md b/docs/_posts/ahmedlone127/2023-11-08-biobert_ner_diseases_model_en.md
new file mode 100644
index 000000000000..1ec12dc2c4b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-biobert_ner_diseases_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_ner_diseases_model BertForTokenClassification from rjac
+author: John Snow Labs
+name: biobert_ner_diseases_model
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_ner_diseases_model` is a English model originally trained by rjac.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_ner_diseases_model_en_5.2.0_3.0_1699411920789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_ner_diseases_model_en_5.2.0_3.0_1699411920789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_ner_diseases_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/rjac/biobert-ner-diseases-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-biobert_protein_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-biobert_protein_ner_en.md
new file mode 100644
index 000000000000..b17906b91c64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-biobert_protein_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_protein_ner BertForTokenClassification from avishvj
+author: John Snow Labs
+name: biobert_protein_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_protein_ner` is a English model originally trained by avishvj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_protein_ner_en_5.2.0_3.0_1699406360113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_protein_ner_en_5.2.0_3.0_1699406360113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_protein_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.8 MB|
+
+## References
+
+https://huggingface.co/avishvj/biobert-protein-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-biobertpt_all_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-biobertpt_all_finetuned_ner_en.md
new file mode 100644
index 000000000000..fec4a6cef5da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-biobertpt_all_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobertpt_all_finetuned_ner BertForTokenClassification from brunodorneles
+author: John Snow Labs
+name: biobertpt_all_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobertpt_all_finetuned_ner` is a English model originally trained by brunodorneles.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobertpt_all_finetuned_ner_en_5.2.0_3.0_1699454876413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobertpt_all_finetuned_ner_en_5.2.0_3.0_1699454876413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobertpt_all_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|664.9 MB|
+
+## References
+
+https://huggingface.co/brunodorneles/biobertpt-all-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bioformer_8l_bc2gm_en.md b/docs/_posts/ahmedlone127/2023-11-08-bioformer_8l_bc2gm_en.md
new file mode 100644
index 000000000000..79951719b8e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bioformer_8l_bc2gm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bioformer_8l_bc2gm BertForTokenClassification from bioformers
+author: John Snow Labs
+name: bioformer_8l_bc2gm
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bioformer_8l_bc2gm` is a English model originally trained by bioformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bioformer_8l_bc2gm_en_5.2.0_3.0_1699453114580.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bioformer_8l_bc2gm_en_5.2.0_3.0_1699453114580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bioformer_8l_bc2gm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|158.5 MB|
+
+## References
+
+https://huggingface.co/bioformers/bioformer-8L-bc2gm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-biomedical_ner_maccrobat_bert_en.md b/docs/_posts/ahmedlone127/2023-11-08-biomedical_ner_maccrobat_bert_en.md
new file mode 100644
index 000000000000..edaebeaa02b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-biomedical_ner_maccrobat_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical_ner_maccrobat_bert BertForTokenClassification from vineetsharma
+author: John Snow Labs
+name: biomedical_ner_maccrobat_bert
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedical_ner_maccrobat_bert` is a English model originally trained by vineetsharma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_ner_maccrobat_bert_en_5.2.0_3.0_1699413863398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_ner_maccrobat_bert_en_5.2.0_3.0_1699413863398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical_ner_maccrobat_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/vineetsharma/BioMedical_NER-maccrobat-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-biomednlp_pubmedbert_proteinstructure_ner_v3_1_pdbeurope_en.md b/docs/_posts/ahmedlone127/2023-11-08-biomednlp_pubmedbert_proteinstructure_ner_v3_1_pdbeurope_en.md
new file mode 100644
index 000000000000..69b3af490c4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-biomednlp_pubmedbert_proteinstructure_ner_v3_1_pdbeurope_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomednlp_pubmedbert_proteinstructure_ner_v3_1_pdbeurope BertForTokenClassification from PDBEurope
+author: John Snow Labs
+name: biomednlp_pubmedbert_proteinstructure_ner_v3_1_pdbeurope
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomednlp_pubmedbert_proteinstructure_ner_v3_1_pdbeurope` is a English model originally trained by PDBEurope.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_proteinstructure_ner_v3_1_pdbeurope_en_5.2.0_3.0_1699429783769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomednlp_pubmedbert_proteinstructure_ner_v3_1_pdbeurope_en_5.2.0_3.0_1699429783769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomednlp_pubmedbert_proteinstructure_ner_v3_1_pdbeurope|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/PDBEurope/BiomedNLP-PubMedBERT-ProteinStructure-NER-v3.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bulbert_ner_udep_5epochs_en.md b/docs/_posts/ahmedlone127/2023-11-08-bulbert_ner_udep_5epochs_en.md
new file mode 100644
index 000000000000..4b1cfada4db5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bulbert_ner_udep_5epochs_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bulbert_ner_udep_5epochs BertForTokenClassification from mor40
+author: John Snow Labs
+name: bulbert_ner_udep_5epochs
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bulbert_ner_udep_5epochs` is a English model originally trained by mor40.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bulbert_ner_udep_5epochs_en_5.2.0_3.0_1699456188489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bulbert_ner_udep_5epochs_en_5.2.0_3.0_1699456188489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bulbert_ner_udep_5epochs|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|306.1 MB|
+
+## References
+
+https://huggingface.co/mor40/BulBERT-ner-udep-5epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-bulbert_ner_wikiann_en.md b/docs/_posts/ahmedlone127/2023-11-08-bulbert_ner_wikiann_en.md
new file mode 100644
index 000000000000..83c39c7211fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-bulbert_ner_wikiann_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bulbert_ner_wikiann BertForTokenClassification from mor40
+author: John Snow Labs
+name: bulbert_ner_wikiann
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bulbert_ner_wikiann` is a English model originally trained by mor40.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bulbert_ner_wikiann_en_5.2.0_3.0_1699402275572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bulbert_ner_wikiann_en_5.2.0_3.0_1699402275572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bulbert_ner_wikiann|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|306.1 MB|
+
+## References
+
+https://huggingface.co/mor40/BulBERT-ner-wikiann
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-burmese_awesome_wnut_model_bahador0101_en.md b/docs/_posts/ahmedlone127/2023-11-08-burmese_awesome_wnut_model_bahador0101_en.md
new file mode 100644
index 000000000000..69f7bca21aa6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-burmese_awesome_wnut_model_bahador0101_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_bahador0101 BertForTokenClassification from BahAdoR0101
+author: John Snow Labs
+name: burmese_awesome_wnut_model_bahador0101
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_bahador0101` is a English model originally trained by BahAdoR0101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_bahador0101_en_5.2.0_3.0_1699463744662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_bahador0101_en_5.2.0_3.0_1699463744662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|darija_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|ar|
+|Size:|505.1 MB|
+
+## References
+
+https://huggingface.co/hananour/darija-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-dark_bert_finetuned_ner1_en.md b/docs/_posts/ahmedlone127/2023-11-08-dark_bert_finetuned_ner1_en.md
new file mode 100644
index 000000000000..4d6f17fa7723
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-dark_bert_finetuned_ner1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dark_bert_finetuned_ner1 BertForTokenClassification from pulkitkumar13
+author: John Snow Labs
+name: dark_bert_finetuned_ner1
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dark_bert_finetuned_ner1` is a English model originally trained by pulkitkumar13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dark_bert_finetuned_ner1_en_5.2.0_3.0_1699466097298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dark_bert_finetuned_ner1_en_5.2.0_3.0_1699466097298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dark_bert_finetuned_ner1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/pulkitkumar13/dark-bert-finetuned-ner1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-drone_term_extractor_en.md b/docs/_posts/ahmedlone127/2023-11-08-drone_term_extractor_en.md
new file mode 100644
index 000000000000..cfdb2de27819
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-drone_term_extractor_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English drone_term_extractor BertForTokenClassification from swardiantara
+author: John Snow Labs
+name: drone_term_extractor
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`drone_term_extractor` is a English model originally trained by swardiantara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/drone_term_extractor_en_5.2.0_3.0_1699463054091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/drone_term_extractor_en_5.2.0_3.0_1699463054091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|drone_term_extractor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/swardiantara/drone-term-extractor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-droner_en.md b/docs/_posts/ahmedlone127/2023-11-08-droner_en.md
new file mode 100644
index 000000000000..a1e30b5843a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-droner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English droner BertForTokenClassification from swardiantara
+author: John Snow Labs
+name: droner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`droner` is a English model originally trained by swardiantara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/droner_en_5.2.0_3.0_1699463435799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/droner_en_5.2.0_3.0_1699463435799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|droner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/swardiantara/droner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-elastic_bert_chinese_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-elastic_bert_chinese_ner_en.md
new file mode 100644
index 000000000000..31eaf9667b64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-elastic_bert_chinese_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English elastic_bert_chinese_ner BertForTokenClassification from xiaxy
+author: John Snow Labs
+name: elastic_bert_chinese_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`elastic_bert_chinese_ner` is a English model originally trained by xiaxy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/elastic_bert_chinese_ner_en_5.2.0_3.0_1699436694425.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/elastic_bert_chinese_ner_en_5.2.0_3.0_1699436694425.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|elastic_bert_chinese_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/xiaxy/elastic-bert-chinese-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-estbert_estonian_subtitles_token_classification_et.md b/docs/_posts/ahmedlone127/2023-11-08-estbert_estonian_subtitles_token_classification_et.md
new file mode 100644
index 000000000000..a1b39db9075b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-estbert_estonian_subtitles_token_classification_et.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Estonian estbert_estonian_subtitles_token_classification BertForTokenClassification from IljaSamoilov
+author: John Snow Labs
+name: estbert_estonian_subtitles_token_classification
+date: 2023-11-08
+tags: [bert, et, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: et
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`estbert_estonian_subtitles_token_classification` is a Estonian model originally trained by IljaSamoilov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/estbert_estonian_subtitles_token_classification_et_5.2.0_3.0_1699450340690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/estbert_estonian_subtitles_token_classification_et_5.2.0_3.0_1699450340690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|expanded_multilingual_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/gamzenurmadan/expanded-multilingual-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-fairness_lab_hana_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-fairness_lab_hana_ner_en.md
new file mode 100644
index 000000000000..da4df0dc3c25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-fairness_lab_hana_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English fairness_lab_hana_ner BertForTokenClassification from Social-Media-Fairness
+author: John Snow Labs
+name: fairness_lab_hana_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fairness_lab_hana_ner` is a English model originally trained by Social-Media-Fairness.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fairness_lab_hana_ner_en_5.2.0_3.0_1699444479706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fairness_lab_hana_ner_en_5.2.0_3.0_1699444479706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fairness_lab_hana_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Social-Media-Fairness/Fairness-lab-Hana-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-finance_ner_v0_0_1_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-finance_ner_v0_0_1_finetuned_ner_en.md
new file mode 100644
index 000000000000..f3da46ec60f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-finance_ner_v0_0_1_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finance_ner_v0_0_1_finetuned_ner BertForTokenClassification from AhmedTaha012
+author: John Snow Labs
+name: finance_ner_v0_0_1_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finance_ner_v0_0_1_finetuned_ner` is a English model originally trained by AhmedTaha012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finance_ner_v0_0_1_finetuned_ner_en_5.2.0_3.0_1699463210084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finance_ner_v0_0_1_finetuned_ner_en_5.2.0_3.0_1699463210084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finance_ner_v0_0_1_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/AhmedTaha012/finance-ner-v0.0.1-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-finance_ner_v0_0_8_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-finance_ner_v0_0_8_finetuned_ner_en.md
new file mode 100644
index 000000000000..635dea30261e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-finance_ner_v0_0_8_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finance_ner_v0_0_8_finetuned_ner BertForTokenClassification from AhmedTaha012
+author: John Snow Labs
+name: finance_ner_v0_0_8_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finance_ner_v0_0_8_finetuned_ner` is a English model originally trained by AhmedTaha012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finance_ner_v0_0_8_finetuned_ner_en_5.2.0_3.0_1699449428232.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finance_ner_v0_0_8_finetuned_ner_en_5.2.0_3.0_1699449428232.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finance_ner_v0_0_8_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/AhmedTaha012/finance-ner-v0.0.8-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-finer_139_xtremedistil_l12_h384_en.md b/docs/_posts/ahmedlone127/2023-11-08-finer_139_xtremedistil_l12_h384_en.md
new file mode 100644
index 000000000000..0bc38cabf43d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-finer_139_xtremedistil_l12_h384_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finer_139_xtremedistil_l12_h384 BertForTokenClassification from nbroad
+author: John Snow Labs
+name: finer_139_xtremedistil_l12_h384
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finer_139_xtremedistil_l12_h384` is a English model originally trained by nbroad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finer_139_xtremedistil_l12_h384_en_5.2.0_3.0_1699404859134.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finer_139_xtremedistil_l12_h384_en_5.2.0_3.0_1699404859134.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finer_139_xtremedistil_l12_h384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|124.4 MB|
+
+## References
+
+https://huggingface.co/nbroad/finer-139-xtremedistil-l12-h384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-fp_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-fp_ner_en.md
new file mode 100644
index 000000000000..be12a7ce4e6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-fp_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English fp_ner BertForTokenClassification from zhenglianchi
+author: John Snow Labs
+name: fp_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fp_ner` is a English model originally trained by zhenglianchi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fp_ner_en_5.2.0_3.0_1699435888148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fp_ner_en_5.2.0_3.0_1699435888148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fp_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.3 MB|
+
+## References
+
+https://huggingface.co/zhenglianchi/fp-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-greek_legal_bert_v2_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-greek_legal_bert_v2_finetuned_ner_en.md
new file mode 100644
index 000000000000..c2622e5685b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-greek_legal_bert_v2_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English greek_legal_bert_v2_finetuned_ner BertForTokenClassification from amichailidis
+author: John Snow Labs
+name: greek_legal_bert_v2_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`greek_legal_bert_v2_finetuned_ner` is a English model originally trained by amichailidis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/greek_legal_bert_v2_finetuned_ner_en_5.2.0_3.0_1699474919715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/greek_legal_bert_v2_finetuned_ner_en_5.2.0_3.0_1699474919715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|greek_legal_bert_v2_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|421.0 MB|
+
+## References
+
+https://huggingface.co/amichailidis/greek_legal_bert_v2-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-greek_legal_bert_v2_finetuned_ner_v3_en.md b/docs/_posts/ahmedlone127/2023-11-08-greek_legal_bert_v2_finetuned_ner_v3_en.md
new file mode 100644
index 000000000000..82dbd46202cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-greek_legal_bert_v2_finetuned_ner_v3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English greek_legal_bert_v2_finetuned_ner_v3 BertForTokenClassification from amichailidis
+author: John Snow Labs
+name: greek_legal_bert_v2_finetuned_ner_v3
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`greek_legal_bert_v2_finetuned_ner_v3` is a English model originally trained by amichailidis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/greek_legal_bert_v2_finetuned_ner_v3_en_5.2.0_3.0_1699417541056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/greek_legal_bert_v2_finetuned_ner_v3_en_5.2.0_3.0_1699417541056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|greek_legal_bert_v2_finetuned_ner_v3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|421.0 MB|
+
+## References
+
+https://huggingface.co/amichailidis/greek_legal_bert_v2-finetuned-ner-V3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-guj_sayula_popoluca_tagging_v2_en.md b/docs/_posts/ahmedlone127/2023-11-08-guj_sayula_popoluca_tagging_v2_en.md
new file mode 100644
index 000000000000..bf3453716cec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-guj_sayula_popoluca_tagging_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English guj_sayula_popoluca_tagging_v2 BertForTokenClassification from om-ashish-soni
+author: John Snow Labs
+name: guj_sayula_popoluca_tagging_v2
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`guj_sayula_popoluca_tagging_v2` is a English model originally trained by om-ashish-soni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/guj_sayula_popoluca_tagging_v2_en_5.2.0_3.0_1699403641206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/guj_sayula_popoluca_tagging_v2_en_5.2.0_3.0_1699403641206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|guj_sayula_popoluca_tagging_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.2 MB|
+
+## References
+
+https://huggingface.co/om-ashish-soni/guj-pos-tagging-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-hana_unbias_ner_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-08-hana_unbias_ner_classifier_en.md
new file mode 100644
index 000000000000..1e2556178639
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-hana_unbias_ner_classifier_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hana_unbias_ner_classifier BertForTokenClassification from Social-Media-Fairness
+author: John Snow Labs
+name: hana_unbias_ner_classifier
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hana_unbias_ner_classifier` is a English model originally trained by Social-Media-Fairness.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hana_unbias_ner_classifier_en_5.2.0_3.0_1699452263831.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hana_unbias_ner_classifier_en_5.2.0_3.0_1699452263831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hana_unbias_ner_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Social-Media-Fairness/hana_unbias_NER_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-heb_medical_baseline_en.md b/docs/_posts/ahmedlone127/2023-11-08-heb_medical_baseline_en.md
new file mode 100644
index 000000000000..a4d77d9503d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-heb_medical_baseline_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English heb_medical_baseline BertForTokenClassification from cp500
+author: John Snow Labs
+name: heb_medical_baseline
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`heb_medical_baseline` is a English model originally trained by cp500.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/heb_medical_baseline_en_5.2.0_3.0_1699406769716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/heb_medical_baseline_en_5.2.0_3.0_1699406769716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|heb_medical_baseline|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|690.5 MB|
+
+## References
+
+https://huggingface.co/cp500/heb_medical_baseline
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-idrisi_lmr_ar_random_typebased_en.md b/docs/_posts/ahmedlone127/2023-11-08-idrisi_lmr_ar_random_typebased_en.md
new file mode 100644
index 000000000000..dc5db06ee84a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-idrisi_lmr_ar_random_typebased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English idrisi_lmr_ar_random_typebased BertForTokenClassification from rsuwaileh
+author: John Snow Labs
+name: idrisi_lmr_ar_random_typebased
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`idrisi_lmr_ar_random_typebased` is a English model originally trained by rsuwaileh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/idrisi_lmr_ar_random_typebased_en_5.2.0_3.0_1699482179555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/idrisi_lmr_ar_random_typebased_en_5.2.0_3.0_1699482179555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|idrisi_lmr_ar_random_typebased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|608.8 MB|
+
+## References
+
+https://huggingface.co/rsuwaileh/IDRISI-LMR-AR-random-typebased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-jobbert_en.md b/docs/_posts/ahmedlone127/2023-11-08-jobbert_en.md
new file mode 100644
index 000000000000..085fcd7a2df1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-jobbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English jobbert BertForTokenClassification from Andrei95
+author: John Snow Labs
+name: jobbert
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jobbert` is a English model originally trained by Andrei95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jobbert_en_5.2.0_3.0_1699430866914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jobbert_en_5.2.0_3.0_1699430866914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jobbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Andrei95/jobbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-klue_bert_base_ner_kluedata_en.md b/docs/_posts/ahmedlone127/2023-11-08-klue_bert_base_ner_kluedata_en.md
new file mode 100644
index 000000000000..7fc0ad81cb07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-klue_bert_base_ner_kluedata_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English klue_bert_base_ner_kluedata BertForTokenClassification from datasciathlete
+author: John Snow Labs
+name: klue_bert_base_ner_kluedata
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`klue_bert_base_ner_kluedata` is a English model originally trained by datasciathlete.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/klue_bert_base_ner_kluedata_en_5.2.0_3.0_1699425754476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/klue_bert_base_ner_kluedata_en_5.2.0_3.0_1699425754476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|klue_bert_base_ner_kluedata|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/datasciathlete/KLUE-BERT-BASE-NER-kluedata
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-kr_finbert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-kr_finbert_finetuned_ner_en.md
new file mode 100644
index 000000000000..00926e368139
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-kr_finbert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English kr_finbert_finetuned_ner BertForTokenClassification from mepi
+author: John Snow Labs
+name: kr_finbert_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kr_finbert_finetuned_ner` is a English model originally trained by mepi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kr_finbert_finetuned_ner_en_5.2.0_3.0_1699468887942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kr_finbert_finetuned_ner_en_5.2.0_3.0_1699468887942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kr_finbert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|377.9 MB|
+
+## References
+
+https://huggingface.co/mepi/KR-FinBert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-marischal_college_hmbert_en.md b/docs/_posts/ahmedlone127/2023-11-08-marischal_college_hmbert_en.md
new file mode 100644
index 000000000000..1bf517fe3c38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-marischal_college_hmbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English marischal_college_hmbert BertForTokenClassification from matthewleechen
+author: John Snow Labs
+name: marischal_college_hmbert
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marischal_college_hmbert` is a English model originally trained by matthewleechen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marischal_college_hmbert_en_5.2.0_3.0_1699468266317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marischal_college_hmbert_en_5.2.0_3.0_1699468266317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marischal_college_hmbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|504.6 MB|
+
+## References
+
+https://huggingface.co/matthewleechen/marischal_college_hmbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-mbert_bengali_ner_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-mbert_bengali_ner_finetuned_ner_en.md
new file mode 100644
index 000000000000..4d18b5b501e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-mbert_bengali_ner_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English mbert_bengali_ner_finetuned_ner BertForTokenClassification from BitanBiswas
+author: John Snow Labs
+name: mbert_bengali_ner_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_bengali_ner_finetuned_ner` is a English model originally trained by BitanBiswas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_bengali_ner_finetuned_ner_en_5.2.0_3.0_1699440756609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_bengali_ner_finetuned_ner_en_5.2.0_3.0_1699440756609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mongolian_bert_base_demo_named_entity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|mn|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/2rtl3/mn-bert-base-demo-named-entity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-multibertbestmodeloct11_en.md b/docs/_posts/ahmedlone127/2023-11-08-multibertbestmodeloct11_en.md
new file mode 100644
index 000000000000..1d8bab19bac2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-multibertbestmodeloct11_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English multibertbestmodeloct11 BertForTokenClassification from Tommert25
+author: John Snow Labs
+name: multibertbestmodeloct11
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multibertbestmodeloct11` is a English model originally trained by Tommert25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multibertbestmodeloct11_en_5.2.0_3.0_1699433704627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multibertbestmodeloct11_en_5.2.0_3.0_1699433704627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|name_anonymization_akoksal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|tr|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/akoksal/name_anonymization
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-negation_bert_en.md b/docs/_posts/ahmedlone127/2023-11-08-negation_bert_en.md
new file mode 100644
index 000000000000..b3b2782f2417
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-negation_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English negation_bert BertForTokenClassification from shoubhikc
+author: John Snow Labs
+name: negation_bert
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`negation_bert` is a English model originally trained by shoubhikc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/negation_bert_en_5.2.0_3.0_1699468736421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/negation_bert_en_5.2.0_3.0_1699468736421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|negation_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/shoubhikc/negation_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-ner_dependency_dutch_official_11_en.md b/docs/_posts/ahmedlone127/2023-11-08-ner_dependency_dutch_official_11_en.md
new file mode 100644
index 000000000000..6c9db1e2390d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-ner_dependency_dutch_official_11_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_dependency_dutch_official_11 BertForTokenClassification from Annemae
+author: John Snow Labs
+name: ner_dependency_dutch_official_11
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_dependency_dutch_official_11` is a English model originally trained by Annemae.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_dependency_dutch_official_11_en_5.2.0_3.0_1699478541524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_dependency_dutch_official_11_en_5.2.0_3.0_1699478541524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_dependency_dutch_official_11|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Annemae/ner_dependency_nl_official_11
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-ner_gdpr_en.md b/docs/_posts/ahmedlone127/2023-11-08-ner_gdpr_en.md
new file mode 100644
index 000000000000..95d9bf1cc15e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-ner_gdpr_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_gdpr BertForTokenClassification from buerokratt
+author: John Snow Labs
+name: ner_gdpr
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_gdpr` is a English model originally trained by buerokratt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_gdpr_en_5.2.0_3.0_1699454308894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_gdpr_en_5.2.0_3.0_1699454308894.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_gdpr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|463.5 MB|
+
+## References
+
+https://huggingface.co/buerokratt/ner_gdpr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-ner_old_en.md b/docs/_posts/ahmedlone127/2023-11-08-ner_old_en.md
new file mode 100644
index 000000000000..2f90499f22b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-ner_old_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_old BertForTokenClassification from buerokratt
+author: John Snow Labs
+name: ner_old
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_old` is a English model originally trained by buerokratt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_old_en_5.2.0_3.0_1699453983143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_old_en_5.2.0_3.0_1699453983143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_old|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|378.1 MB|
+
+## References
+
+https://huggingface.co/buerokratt/ner_old
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-ner_resume_en.md b/docs/_posts/ahmedlone127/2023-11-08-ner_resume_en.md
new file mode 100644
index 000000000000..7f606c07586f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-ner_resume_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_resume BertForTokenClassification from momo22
+author: John Snow Labs
+name: ner_resume
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_resume` is a English model originally trained by momo22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_resume_en_5.2.0_3.0_1699421268824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_resume_en_5.2.0_3.0_1699421268824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_hiba_distemist_fine_tuned_bert_base_multilingual_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/GuCuChiara/NLP-HIBA_DisTEMIST_fine_tuned_bert-base-multilingual-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-nyt_ingredient_tagger_gte_small_l3_ingredient_v2_en.md b/docs/_posts/ahmedlone127/2023-11-08-nyt_ingredient_tagger_gte_small_l3_ingredient_v2_en.md
new file mode 100644
index 000000000000..ba1354c8e229
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-nyt_ingredient_tagger_gte_small_l3_ingredient_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nyt_ingredient_tagger_gte_small_l3_ingredient_v2 BertForTokenClassification from napsternxg
+author: John Snow Labs
+name: nyt_ingredient_tagger_gte_small_l3_ingredient_v2
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nyt_ingredient_tagger_gte_small_l3_ingredient_v2` is a English model originally trained by napsternxg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nyt_ingredient_tagger_gte_small_l3_ingredient_v2_en_5.2.0_3.0_1699429469946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nyt_ingredient_tagger_gte_small_l3_ingredient_v2_en_5.2.0_3.0_1699429469946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nyt_ingredient_tagger_gte_small_l3_ingredient_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|64.7 MB|
+
+## References
+
+https://huggingface.co/napsternxg/nyt-ingredient-tagger-gte-small-L3-ingredient-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-phibert_finetuned_ner_nepal_bhasa_1_en.md b/docs/_posts/ahmedlone127/2023-11-08-phibert_finetuned_ner_nepal_bhasa_1_en.md
new file mode 100644
index 000000000000..463f7d27a27f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-phibert_finetuned_ner_nepal_bhasa_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English phibert_finetuned_ner_nepal_bhasa_1 BertForTokenClassification from RUKESH
+author: John Snow Labs
+name: phibert_finetuned_ner_nepal_bhasa_1
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phibert_finetuned_ner_nepal_bhasa_1` is a English model originally trained by RUKESH.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phibert_finetuned_ner_nepal_bhasa_1_en_5.2.0_3.0_1699483520154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phibert_finetuned_ner_nepal_bhasa_1_en_5.2.0_3.0_1699483520154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phibert_finetuned_ner_nepal_bhasa_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.2 MB|
+
+## References
+
+https://huggingface.co/RUKESH/phibert-finetuned-ner-new-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-political_entity_recognizer_en.md b/docs/_posts/ahmedlone127/2023-11-08-political_entity_recognizer_en.md
new file mode 100644
index 000000000000..7e5f3fddc9e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-political_entity_recognizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English political_entity_recognizer BertForTokenClassification from nlplab
+author: John Snow Labs
+name: political_entity_recognizer
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`political_entity_recognizer` is a English model originally trained by nlplab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/political_entity_recognizer_en_5.2.0_3.0_1699428569605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/political_entity_recognizer_en_5.2.0_3.0_1699428569605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|political_entity_recognizer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.0 MB|
+
+## References
+
+https://huggingface.co/nlplab/political-entity-recognizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-porttagger_news_base_en.md b/docs/_posts/ahmedlone127/2023-11-08-porttagger_news_base_en.md
new file mode 100644
index 000000000000..08d3f887d65b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-porttagger_news_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English porttagger_news_base BertForTokenClassification from Emanuel
+author: John Snow Labs
+name: porttagger_news_base
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`porttagger_news_base` is a English model originally trained by Emanuel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/porttagger_news_base_en_5.2.0_3.0_1699425406664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/porttagger_news_base_en_5.2.0_3.0_1699425406664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|porttagger_news_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/Emanuel/porttagger-news-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-porttagger_tweets_base_en.md b/docs/_posts/ahmedlone127/2023-11-08-porttagger_tweets_base_en.md
new file mode 100644
index 000000000000..643ca005b8b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-porttagger_tweets_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English porttagger_tweets_base BertForTokenClassification from Emanuel
+author: John Snow Labs
+name: porttagger_tweets_base
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`porttagger_tweets_base` is a English model originally trained by Emanuel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/porttagger_tweets_base_en_5.2.0_3.0_1699470138020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/porttagger_tweets_base_en_5.2.0_3.0_1699470138020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|porttagger_tweets_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/Emanuel/porttagger-tweets-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-postagger_bio_english_en.md b/docs/_posts/ahmedlone127/2023-11-08-postagger_bio_english_en.md
new file mode 100644
index 000000000000..df9c0408d581
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-postagger_bio_english_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English postagger_bio_english BertForTokenClassification from pucpr-br
+author: John Snow Labs
+name: postagger_bio_english
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`postagger_bio_english` is a English model originally trained by pucpr-br.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/postagger_bio_english_en_5.2.0_3.0_1699404792031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/postagger_bio_english_en_5.2.0_3.0_1699404792031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|postagger_south_azerbaijani|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|az|
+|Size:|347.5 MB|
+
+## References
+
+https://huggingface.co/language-ml-lab/postagger-azb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-products_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-products_ner_en.md
new file mode 100644
index 000000000000..18ab58033ac6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-products_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English products_ner BertForTokenClassification from Atheer174
+author: John Snow Labs
+name: products_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`products_ner` is a English model originally trained by Atheer174.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/products_ner_en_5.2.0_3.0_1699446270363.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/products_ner_en_5.2.0_3.0_1699446270363.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|products_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Atheer174/Products_NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-pubmedbert_base_finetuned_n2c2_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-pubmedbert_base_finetuned_n2c2_ner_en.md
new file mode 100644
index 000000000000..44531185a15f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-pubmedbert_base_finetuned_n2c2_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pubmedbert_base_finetuned_n2c2_ner BertForTokenClassification from georgeleung30
+author: John Snow Labs
+name: pubmedbert_base_finetuned_n2c2_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pubmedbert_base_finetuned_n2c2_ner` is a English model originally trained by georgeleung30.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pubmedbert_base_finetuned_n2c2_ner_en_5.2.0_3.0_1699412158375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pubmedbert_base_finetuned_n2c2_ner_en_5.2.0_3.0_1699412158375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pubmedbert_base_finetuned_n2c2_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/georgeleung30/PubMedBERT-base-finetuned-n2c2-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-real_estate_financial_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-real_estate_financial_ner_en.md
new file mode 100644
index 000000000000..c74fe43562ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-real_estate_financial_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English real_estate_financial_ner BertForTokenClassification from jnferfer
+author: John Snow Labs
+name: real_estate_financial_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`real_estate_financial_ner` is a English model originally trained by jnferfer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/real_estate_financial_ner_en_5.2.0_3.0_1699435250183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/real_estate_financial_ner_en_5.2.0_3.0_1699435250183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|real_estate_financial_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jnferfer/real_estate_financial_NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-resume_ner_1_en.md b/docs/_posts/ahmedlone127/2023-11-08-resume_ner_1_en.md
new file mode 100644
index 000000000000..d14296942e75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-resume_ner_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English resume_ner_1 BertForTokenClassification from QuanjieHan
+author: John Snow Labs
+name: resume_ner_1
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`resume_ner_1` is a English model originally trained by QuanjieHan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/resume_ner_1_en_5.2.0_3.0_1699410735265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/resume_ner_1_en_5.2.0_3.0_1699410735265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rhenus_v1_0_bert_base_multilingual_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|625.7 MB|
+
+## References
+
+https://huggingface.co/DataIntelligenceTeam/rhenus_v1.0_bert-base-multilingual-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-rubert_base_lesha17_punctuation_en.md b/docs/_posts/ahmedlone127/2023-11-08-rubert_base_lesha17_punctuation_en.md
new file mode 100644
index 000000000000..e9010add488b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-rubert_base_lesha17_punctuation_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rubert_base_lesha17_punctuation BertForTokenClassification from cointegrated
+author: John Snow Labs
+name: rubert_base_lesha17_punctuation
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_base_lesha17_punctuation` is a English model originally trained by cointegrated.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_base_lesha17_punctuation_en_5.2.0_3.0_1699441915557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_base_lesha17_punctuation_en_5.2.0_3.0_1699441915557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_base_lesha17_punctuation|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/cointegrated/rubert-base-lesha17-punctuation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-rubert_tiny2_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-rubert_tiny2_finetuned_ner_en.md
new file mode 100644
index 000000000000..7b45bacbf509
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-rubert_tiny2_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rubert_tiny2_finetuned_ner BertForTokenClassification from Evolett
+author: John Snow Labs
+name: rubert_tiny2_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_tiny2_finetuned_ner` is a English model originally trained by Evolett.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny2_finetuned_ner_en_5.2.0_3.0_1699427978197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny2_finetuned_ner_en_5.2.0_3.0_1699427978197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny2_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|109.1 MB|
+
+## References
+
+https://huggingface.co/Evolett/rubert-tiny2-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-rust_bert_base_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-rust_bert_base_ner_en.md
new file mode 100644
index 000000000000..973557500c1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-rust_bert_base_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rust_bert_base_ner BertForTokenClassification from webmichaelnosenko
+author: John Snow Labs
+name: rust_bert_base_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rust_bert_base_ner` is a English model originally trained by webmichaelnosenko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rust_bert_base_ner_en_5.2.0_3.0_1699437361590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rust_bert_base_ner_en_5.2.0_3.0_1699437361590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rust_bert_base_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/webmichaelnosenko/rust-bert-base-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-sayula_popoluca_ner_tagging_en.md b/docs/_posts/ahmedlone127/2023-11-08-sayula_popoluca_ner_tagging_en.md
new file mode 100644
index 000000000000..962a1c811cdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-sayula_popoluca_ner_tagging_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sayula_popoluca_ner_tagging BertForTokenClassification from om-ashish-soni
+author: John Snow Labs
+name: sayula_popoluca_ner_tagging
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sayula_popoluca_ner_tagging` is a English model originally trained by om-ashish-soni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sayula_popoluca_ner_tagging_en_5.2.0_3.0_1699442336748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sayula_popoluca_ner_tagging_en_5.2.0_3.0_1699442336748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sayula_popoluca_ner_tagging|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|404.9 MB|
+
+## References
+
+https://huggingface.co/om-ashish-soni/pos-ner-tagging
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-scibert_finetuned_ner_fl_en.md b/docs/_posts/ahmedlone127/2023-11-08-scibert_finetuned_ner_fl_en.md
new file mode 100644
index 000000000000..8f59d86bfe99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-scibert_finetuned_ner_fl_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_finetuned_ner_fl BertForTokenClassification from vbhasin
+author: John Snow Labs
+name: scibert_finetuned_ner_fl
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scibert_finetuned_ner_fl` is a English model originally trained by vbhasin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_finetuned_ner_fl_en_5.2.0_3.0_1699434573304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_finetuned_ner_fl_en_5.2.0_3.0_1699434573304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_finetuned_ner_fl|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/vbhasin/sciBERT-finetuned-ner-FL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-scibert_finetuned_ner_siddharthtumre_en.md b/docs/_posts/ahmedlone127/2023-11-08-scibert_finetuned_ner_siddharthtumre_en.md
new file mode 100644
index 000000000000..e034a285c15b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-scibert_finetuned_ner_siddharthtumre_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_finetuned_ner_siddharthtumre BertForTokenClassification from siddharthtumre
+author: John Snow Labs
+name: scibert_finetuned_ner_siddharthtumre
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scibert_finetuned_ner_siddharthtumre` is a English model originally trained by siddharthtumre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_finetuned_ner_siddharthtumre_en_5.2.0_3.0_1699486801290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_finetuned_ner_siddharthtumre_en_5.2.0_3.0_1699486801290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_finetuned_ner_siddharthtumre|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/siddharthtumre/scibert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-scibert_finetuned_ner_v1_en.md b/docs/_posts/ahmedlone127/2023-11-08-scibert_finetuned_ner_v1_en.md
new file mode 100644
index 000000000000..386e476c3aa2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-scibert_finetuned_ner_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_finetuned_ner_v1 BertForTokenClassification from sayalik13
+author: John Snow Labs
+name: scibert_finetuned_ner_v1
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scibert_finetuned_ner_v1` is a English model originally trained by sayalik13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_finetuned_ner_v1_en_5.2.0_3.0_1699463473734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_finetuned_ner_v1_en_5.2.0_3.0_1699463473734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_finetuned_ner_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/sayalik13/scibert-finetuned-ner-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-scibert_scivocab_uncased_finetuned_ner_sschet_en.md b/docs/_posts/ahmedlone127/2023-11-08-scibert_scivocab_uncased_finetuned_ner_sschet_en.md
new file mode 100644
index 000000000000..e6a26e516b82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-scibert_scivocab_uncased_finetuned_ner_sschet_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_scivocab_uncased_finetuned_ner_sschet BertForTokenClassification from sschet
+author: John Snow Labs
+name: scibert_scivocab_uncased_finetuned_ner_sschet
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scibert_scivocab_uncased_finetuned_ner_sschet` is a English model originally trained by sschet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_finetuned_ner_sschet_en_5.2.0_3.0_1699422037617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_scivocab_uncased_finetuned_ner_sschet_en_5.2.0_3.0_1699422037617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_scivocab_uncased_finetuned_ner_sschet|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/sschet/scibert_scivocab_uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-scideberta_ser_en.md b/docs/_posts/ahmedlone127/2023-11-08-scideberta_ser_en.md
new file mode 100644
index 000000000000..2f1d0b40587c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-scideberta_ser_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scideberta_ser BertForTokenClassification from havens2
+author: John Snow Labs
+name: scideberta_ser
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scideberta_ser` is a English model originally trained by havens2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scideberta_ser_en_5.2.0_3.0_1699473723465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scideberta_ser_en_5.2.0_3.0_1699473723465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scideberta_ser|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/havens2/scideberta_SER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-scientific_paper_bert_fine_tuned_new_en.md b/docs/_posts/ahmedlone127/2023-11-08-scientific_paper_bert_fine_tuned_new_en.md
new file mode 100644
index 000000000000..477ab2c4a5b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-scientific_paper_bert_fine_tuned_new_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scientific_paper_bert_fine_tuned_new BertForTokenClassification from MrSoapman
+author: John Snow Labs
+name: scientific_paper_bert_fine_tuned_new
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scientific_paper_bert_fine_tuned_new` is a English model originally trained by MrSoapman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scientific_paper_bert_fine_tuned_new_en_5.2.0_3.0_1699481850368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scientific_paper_bert_fine_tuned_new_en_5.2.0_3.0_1699481850368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scientific_paper_bert_fine_tuned_new|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/MrSoapman/scientific-paper-BERT-fine-tuned-NEW
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-sec_bert_base_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-sec_bert_base_finetuned_ner_en.md
new file mode 100644
index 000000000000..da3f34bea083
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-sec_bert_base_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sec_bert_base_finetuned_ner BertForTokenClassification from elshehawy
+author: John Snow Labs
+name: sec_bert_base_finetuned_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sec_bert_base_finetuned_ner` is a English model originally trained by elshehawy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sec_bert_base_finetuned_ner_en_5.2.0_3.0_1699469932167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sec_bert_base_finetuned_ner_en_5.2.0_3.0_1699469932167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sec_bert_base_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.5 MB|
+
+## References
+
+https://huggingface.co/elshehawy/sec-bert-base-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-shingazidja_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2023-11-08-shingazidja_sayula_popoluca_en.md
new file mode 100644
index 000000000000..e46775a46ef6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-shingazidja_sayula_popoluca_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English shingazidja_sayula_popoluca BertForTokenClassification from nairaxo
+author: John Snow Labs
+name: shingazidja_sayula_popoluca
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`shingazidja_sayula_popoluca` is a English model originally trained by nairaxo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/shingazidja_sayula_popoluca_en_5.2.0_3.0_1699419736974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/shingazidja_sayula_popoluca_en_5.2.0_3.0_1699419736974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|shingazidja_sayula_popoluca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|752.9 MB|
+
+## References
+
+https://huggingface.co/nairaxo/shingazidja-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-specific_arabic_language_token_classification_model_en.md b/docs/_posts/ahmedlone127/2023-11-08-specific_arabic_language_token_classification_model_en.md
new file mode 100644
index 000000000000..f5238fbebbc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-specific_arabic_language_token_classification_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English specific_arabic_language_token_classification_model BertForTokenClassification from Cabooose
+author: John Snow Labs
+name: specific_arabic_language_token_classification_model
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`specific_arabic_language_token_classification_model` is a English model originally trained by Cabooose.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/specific_arabic_language_token_classification_model_en_5.2.0_3.0_1699466870338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/specific_arabic_language_token_classification_model_en_5.2.0_3.0_1699466870338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|specific_arabic_language_token_classification_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/Cabooose/specific_arabic_language_token_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-specific_bengali_language_token_classification_model_en.md b/docs/_posts/ahmedlone127/2023-11-08-specific_bengali_language_token_classification_model_en.md
new file mode 100644
index 000000000000..d823f2a6159e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-specific_bengali_language_token_classification_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English specific_bengali_language_token_classification_model BertForTokenClassification from Cabooose
+author: John Snow Labs
+name: specific_bengali_language_token_classification_model
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`specific_bengali_language_token_classification_model` is a English model originally trained by Cabooose.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/specific_bengali_language_token_classification_model_en_5.2.0_3.0_1699463126735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/specific_bengali_language_token_classification_model_en_5.2.0_3.0_1699463126735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|specific_bengali_language_token_classification_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|890.6 MB|
+
+## References
+
+https://huggingface.co/Cabooose/specific_bengali_language_token_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-swiss_german_sayula_popoluca_model_en.md b/docs/_posts/ahmedlone127/2023-11-08-swiss_german_sayula_popoluca_model_en.md
new file mode 100644
index 000000000000..49cf093058f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-swiss_german_sayula_popoluca_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English swiss_german_sayula_popoluca_model BertForTokenClassification from noeminaepli
+author: John Snow Labs
+name: swiss_german_sayula_popoluca_model
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`swiss_german_sayula_popoluca_model` is a English model originally trained by noeminaepli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/swiss_german_sayula_popoluca_model_en_5.2.0_3.0_1699438831413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/swiss_german_sayula_popoluca_model_en_5.2.0_3.0_1699438831413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|swiss_german_sayula_popoluca_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.8 MB|
+
+## References
+
+https://huggingface.co/noeminaepli/swiss_german_pos_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-swiss_german_stts_sayula_popoluca_model_en.md b/docs/_posts/ahmedlone127/2023-11-08-swiss_german_stts_sayula_popoluca_model_en.md
new file mode 100644
index 000000000000..65f2a8aa46e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-swiss_german_stts_sayula_popoluca_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English swiss_german_stts_sayula_popoluca_model BertForTokenClassification from noeminaepli
+author: John Snow Labs
+name: swiss_german_stts_sayula_popoluca_model
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`swiss_german_stts_sayula_popoluca_model` is a English model originally trained by noeminaepli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/swiss_german_stts_sayula_popoluca_model_en_5.2.0_3.0_1699463356832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/swiss_german_stts_sayula_popoluca_model_en_5.2.0_3.0_1699463356832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|swiss_german_stts_sayula_popoluca_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/noeminaepli/swiss_german_stts_pos_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-tagged_one_100v7_ner_model_3epochs_augmented_en.md b/docs/_posts/ahmedlone127/2023-11-08-tagged_one_100v7_ner_model_3epochs_augmented_en.md
new file mode 100644
index 000000000000..b69dada0dc7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-tagged_one_100v7_ner_model_3epochs_augmented_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tagged_one_100v7_ner_model_3epochs_augmented BertForTokenClassification from DOOGLAK
+author: John Snow Labs
+name: tagged_one_100v7_ner_model_3epochs_augmented
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tagged_one_100v7_ner_model_3epochs_augmented` is a English model originally trained by DOOGLAK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tagged_one_100v7_ner_model_3epochs_augmented_en_5.2.0_3.0_1699433269132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tagged_one_100v7_ner_model_3epochs_augmented_en_5.2.0_3.0_1699433269132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tagged_one_100v7_ner_model_3epochs_augmented|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/DOOGLAK/Tagged_One_100v7_NER_Model_3Epochs_AUGMENTED
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-tamil_ner_model_en.md b/docs/_posts/ahmedlone127/2023-11-08-tamil_ner_model_en.md
new file mode 100644
index 000000000000..b45557c820ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-tamil_ner_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tamil_ner_model BertForTokenClassification from sathishmahi
+author: John Snow Labs
+name: tamil_ner_model
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tamil_ner_model` is a English model originally trained by sathishmahi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tamil_ner_model_en_5.2.0_3.0_1699415561393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tamil_ner_model_en_5.2.0_3.0_1699415561393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tamil_ner_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sathishmahi/tamil-ner-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-teste_tcc_en.md b/docs/_posts/ahmedlone127/2023-11-08-teste_tcc_en.md
new file mode 100644
index 000000000000..569b85cacb7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-teste_tcc_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English teste_tcc BertForTokenClassification from witalo
+author: John Snow Labs
+name: teste_tcc
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`teste_tcc` is a English model originally trained by witalo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/teste_tcc_en_5.2.0_3.0_1699446270323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/teste_tcc_en_5.2.0_3.0_1699446270323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|teste_tcc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/witalo/teste_tcc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-toxicbert_params_en.md b/docs/_posts/ahmedlone127/2023-11-08-toxicbert_params_en.md
new file mode 100644
index 000000000000..e224c75b5e56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-toxicbert_params_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English toxicbert_params BertForTokenClassification from troesy
+author: John Snow Labs
+name: toxicbert_params
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxicbert_params` is a English model originally trained by troesy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxicbert_params_en_5.2.0_3.0_1699467199213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxicbert_params_en_5.2.0_3.0_1699467199213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxicbert_params|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/troesy/toxicBERT-params
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-turkish_ner_model_en.md b/docs/_posts/ahmedlone127/2023-11-08-turkish_ner_model_en.md
new file mode 100644
index 000000000000..b8b2301cd564
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-turkish_ner_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English turkish_ner_model BertForTokenClassification from alpcansoydas
+author: John Snow Labs
+name: turkish_ner_model
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`turkish_ner_model` is a English model originally trained by alpcansoydas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/turkish_ner_model_en_5.2.0_3.0_1699485434405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/turkish_ner_model_en_5.2.0_3.0_1699485434405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|turkish_ner_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/alpcansoydas/tr-ner.model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-uner_muril_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-uner_muril_ner_en.md
new file mode 100644
index 000000000000..218ce2f9c7a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-uner_muril_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English uner_muril_ner BertForTokenClassification from mirfan899
+author: John Snow Labs
+name: uner_muril_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`uner_muril_ner` is a English model originally trained by mirfan899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uner_muril_ner_en_5.2.0_3.0_1699468736524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uner_muril_ner_en_5.2.0_3.0_1699468736524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uner_muril_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/mirfan899/uner-muril-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-v4_combined_ner_en.md b/docs/_posts/ahmedlone127/2023-11-08-v4_combined_ner_en.md
new file mode 100644
index 000000000000..4c360708a8a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-v4_combined_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English v4_combined_ner BertForTokenClassification from cp500
+author: John Snow Labs
+name: v4_combined_ner
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`v4_combined_ner` is a English model originally trained by cp500.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/v4_combined_ner_en_5.2.0_3.0_1699433727244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/v4_combined_ner_en_5.2.0_3.0_1699433727244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|v4_combined_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|690.5 MB|
+
+## References
+
+https://huggingface.co/cp500/v4_combined_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-vietnamese_ner_v1_4_0a2_en.md b/docs/_posts/ahmedlone127/2023-11-08-vietnamese_ner_v1_4_0a2_en.md
new file mode 100644
index 000000000000..50a2ef9235f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-vietnamese_ner_v1_4_0a2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English vietnamese_ner_v1_4_0a2 BertForTokenClassification from rain1024
+author: John Snow Labs
+name: vietnamese_ner_v1_4_0a2
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vietnamese_ner_v1_4_0a2` is a English model originally trained by rain1024.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vietnamese_ner_v1_4_0a2_en_5.2.0_3.0_1699421616560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vietnamese_ner_v1_4_0a2_en_5.2.0_3.0_1699421616560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vietnamese_ner_v1_4_0a2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|428.8 MB|
+
+## References
+
+https://huggingface.co/rain1024/vietnamese-ner-v1.4.0a2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-08-wobert_bio_en.md b/docs/_posts/ahmedlone127/2023-11-08-wobert_bio_en.md
new file mode 100644
index 000000000000..99bafd1d3aa1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-08-wobert_bio_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English wobert_bio BertForTokenClassification from onefox
+author: John Snow Labs
+name: wobert_bio
+date: 2023-11-08
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wobert_bio` is a English model originally trained by onefox.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wobert_bio_en_5.2.0_3.0_1699464213984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wobert_bio_en_5.2.0_3.0_1699464213984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wobert_bio|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/onefox/WoBERT-BIO
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-article_50v0_ner_model_3epochs_en.md b/docs/_posts/ahmedlone127/2023-11-09-article_50v0_ner_model_3epochs_en.md
new file mode 100644
index 000000000000..690cd75ac762
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-article_50v0_ner_model_3epochs_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English article_50v0_ner_model_3epochs BertForTokenClassification from DOOGLAK
+author: John Snow Labs
+name: article_50v0_ner_model_3epochs
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`article_50v0_ner_model_3epochs` is a English model originally trained by DOOGLAK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/article_50v0_ner_model_3epochs_en_5.2.0_3.0_1699519099821.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/article_50v0_ner_model_3epochs_en_5.2.0_3.0_1699519099821.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|article_50v0_ner_model_3epochs|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/DOOGLAK/Article_50v0_NER_Model_3Epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-assignment2_attempt12_en.md b/docs/_posts/ahmedlone127/2023-11-09-assignment2_attempt12_en.md
new file mode 100644
index 000000000000..fc9c90dbe730
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-assignment2_attempt12_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English assignment2_attempt12 BertForTokenClassification from mpalaval
+author: John Snow Labs
+name: assignment2_attempt12
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`assignment2_attempt12` is a English model originally trained by mpalaval.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/assignment2_attempt12_en_5.2.0_3.0_1699508615969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/assignment2_attempt12_en_5.2.0_3.0_1699508615969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|assignment2_attempt12|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mpalaval/assignment2_attempt12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_conll2003_samoan_all_ner_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_conll2003_samoan_all_ner_en.md
new file mode 100644
index 000000000000..771b6ceac833
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_conll2003_samoan_all_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_conll2003_samoan_all_ner BertForTokenClassification from jordyvl
+author: John Snow Labs
+name: bert_base_cased_conll2003_samoan_all_ner
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_conll2003_samoan_all_ner` is a English model originally trained by jordyvl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_conll2003_samoan_all_ner_en_5.2.0_3.0_1699495665394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_conll2003_samoan_all_ner_en_5.2.0_3.0_1699495665394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_conll2003_samoan_all_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jordyvl/bert-base-cased_conll2003-sm-all-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_conll2003_samoan_first_ner_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_conll2003_samoan_first_ner_en.md
new file mode 100644
index 000000000000..df5710535879
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_conll2003_samoan_first_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_conll2003_samoan_first_ner BertForTokenClassification from jordyvl
+author: John Snow Labs
+name: bert_base_cased_conll2003_samoan_first_ner
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_conll2003_samoan_first_ner` is a English model originally trained by jordyvl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_conll2003_samoan_first_ner_en_5.2.0_3.0_1699509621560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_conll2003_samoan_first_ner_en_5.2.0_3.0_1699509621560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_conll2003_samoan_first_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jordyvl/bert-base-cased_conll2003-sm-first-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_finetuned_ner_guitap_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_finetuned_ner_guitap_en.md
new file mode 100644
index 000000000000..a5aeff17e32b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_finetuned_ner_guitap_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_ner_guitap BertForTokenClassification from GuiTap
+author: John Snow Labs
+name: bert_base_cased_finetuned_ner_guitap
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_ner_guitap` is a English model originally trained by GuiTap.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_guitap_en_5.2.0_3.0_1699512873743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_ner_guitap_en_5.2.0_3.0_1699512873743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_ner_guitap|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/GuiTap/bert-base-cased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_ner_trained_on_synthea_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_ner_trained_on_synthea_en.md
new file mode 100644
index 000000000000..a75b3bc53589
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_cased_ner_trained_on_synthea_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_cased_ner_trained_on_synthea BertForTokenClassification from jage
+author: John Snow Labs
+name: bert_base_cased_ner_trained_on_synthea
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_ner_trained_on_synthea` is a English model originally trained by jage.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_ner_trained_on_synthea_en_5.2.0_3.0_1699511557797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_ner_trained_on_synthea_en_5.2.0_3.0_1699511557797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_ner_trained_on_synthea|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jage/bert-base-cased-NER-trained-on-synthea
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_chinese_wikiann_chinese_ner_nepal_bhasa_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_chinese_wikiann_chinese_ner_nepal_bhasa_en.md
new file mode 100644
index 000000000000..9dc25578ae6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_chinese_wikiann_chinese_ner_nepal_bhasa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_chinese_wikiann_chinese_ner_nepal_bhasa BertForTokenClassification from davidliu1110
+author: John Snow Labs
+name: bert_base_chinese_wikiann_chinese_ner_nepal_bhasa
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_chinese_wikiann_chinese_ner_nepal_bhasa` is a English model originally trained by davidliu1110.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wikiann_chinese_ner_nepal_bhasa_en_5.2.0_3.0_1699492268394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_chinese_wikiann_chinese_ner_nepal_bhasa_en_5.2.0_3.0_1699492268394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_chinese_wikiann_chinese_ner_nepal_bhasa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.1 MB|
+
+## References
+
+https://huggingface.co/davidliu1110/bert-base-chinese-wikiann-zh-ner-new
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_dutch_cased_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_dutch_cased_finetuned_ner_en.md
new file mode 100644
index 000000000000..596905175158
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_dutch_cased_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_dutch_cased_finetuned_ner BertForTokenClassification from Matthijsvanhof
+author: John Snow Labs
+name: bert_base_dutch_cased_finetuned_ner
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_dutch_cased_finetuned_ner` is a English model originally trained by Matthijsvanhof.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_ner_en_5.2.0_3.0_1699495824524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_ner_en_5.2.0_3.0_1699495824524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Matthijsvanhof/bert-base-dutch-cased-finetuned-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_german_cased_noisy_pretrain_fine_tuned_v2_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_german_cased_noisy_pretrain_fine_tuned_v2_en.md
new file mode 100644
index 000000000000..f2122ba85521
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_german_cased_noisy_pretrain_fine_tuned_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_german_cased_noisy_pretrain_fine_tuned_v2 BertForTokenClassification from tbosse
+author: John Snow Labs
+name: bert_base_german_cased_noisy_pretrain_fine_tuned_v2
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_german_cased_noisy_pretrain_fine_tuned_v2` is a English model originally trained by tbosse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_noisy_pretrain_fine_tuned_v2_en_5.2.0_3.0_1699515722761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_noisy_pretrain_fine_tuned_v2_en_5.2.0_3.0_1699515722761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_cased_noisy_pretrain_fine_tuned_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/tbosse/bert-base-german-cased-noisy-pretrain-fine-tuned_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_portuguese_cased_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_portuguese_cased_finetuned_ner_en.md
new file mode 100644
index 000000000000..fd10b3401f74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_portuguese_cased_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_portuguese_cased_finetuned_ner BertForTokenClassification from tvtcm
+author: John Snow Labs
+name: bert_base_portuguese_cased_finetuned_ner
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_portuguese_cased_finetuned_ner` is a English model originally trained by tvtcm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_finetuned_ner_en_5.2.0_3.0_1699513246007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_portuguese_cased_finetuned_ner_en_5.2.0_3.0_1699513246007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_portuguese_cased_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/tvtcm/bert-base-portuguese-cased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_spanish_wwm_cased_finetuned_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_spanish_wwm_cased_finetuned_sayula_popoluca_en.md
new file mode 100644
index 000000000000..c6e5a974eaf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_spanish_wwm_cased_finetuned_sayula_popoluca_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_spanish_wwm_cased_finetuned_sayula_popoluca BertForTokenClassification from dccuchile
+author: John Snow Labs
+name: bert_base_spanish_wwm_cased_finetuned_sayula_popoluca
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_spanish_wwm_cased_finetuned_sayula_popoluca` is a English model originally trained by dccuchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_finetuned_sayula_popoluca_en_5.2.0_3.0_1699502208620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_spanish_wwm_cased_finetuned_sayula_popoluca_en_5.2.0_3.0_1699502208620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_spanish_wwm_cased_finetuned_sayula_popoluca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased-finetuned-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_uncased_finetuned_material_synthesis_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_uncased_finetuned_material_synthesis_en.md
new file mode 100644
index 000000000000..b5c48f166588
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_uncased_finetuned_material_synthesis_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_material_synthesis BertForTokenClassification from Dagobert42
+author: John Snow Labs
+name: bert_base_uncased_finetuned_material_synthesis
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_material_synthesis` is a English model originally trained by Dagobert42.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_material_synthesis_en_5.2.0_3.0_1699517255786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_material_synthesis_en_5.2.0_3.0_1699517255786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_material_synthesis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.9 MB|
+
+## References
+
+https://huggingface.co/Dagobert42/bert-base-uncased-finetuned-material-synthesis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_uncased_finetuned_math_punctuation_ignore_word_parts_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_uncased_finetuned_math_punctuation_ignore_word_parts_en.md
new file mode 100644
index 000000000000..efbc809a287e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_uncased_finetuned_math_punctuation_ignore_word_parts_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_math_punctuation_ignore_word_parts BertForTokenClassification from JoshuaRubin
+author: John Snow Labs
+name: bert_base_uncased_finetuned_math_punctuation_ignore_word_parts
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_math_punctuation_ignore_word_parts` is a English model originally trained by JoshuaRubin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_math_punctuation_ignore_word_parts_en_5.2.0_3.0_1699505856150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_math_punctuation_ignore_word_parts_en_5.2.0_3.0_1699505856150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_math_punctuation_ignore_word_parts|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/JoshuaRubin/bert-base-uncased-finetuned-math_punctuation-ignore_word_parts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_base_uncased_finetuned_recruitment_exp_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_base_uncased_finetuned_recruitment_exp_en.md
new file mode 100644
index 000000000000..c89db3f6631e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_base_uncased_finetuned_recruitment_exp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_recruitment_exp BertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: bert_base_uncased_finetuned_recruitment_exp
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_recruitment_exp` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_recruitment_exp_en_5.2.0_3.0_1699497599843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_recruitment_exp_en_5.2.0_3.0_1699497599843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_recruitment_exp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/bert-base-uncased-finetuned-recruitment-exp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_cased_ner_fcit499_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_cased_ner_fcit499_en.md
new file mode 100644
index 000000000000..5911845d3fb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_cased_ner_fcit499_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_cased_ner_fcit499 BertForTokenClassification from Ahmed87
+author: John Snow Labs
+name: bert_cased_ner_fcit499
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_cased_ner_fcit499` is a English model originally trained by Ahmed87.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cased_ner_fcit499_en_5.2.0_3.0_1699497599825.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cased_ner_fcit499_en_5.2.0_3.0_1699497599825.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cased_ner_fcit499|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Ahmed87/bert-cased-ner-fcit499
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_abhishekverma_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_abhishekverma_en.md
new file mode 100644
index 000000000000..945afd7faf87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_abhishekverma_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_abhishekverma BertForTokenClassification from AbhishekVerma
+author: John Snow Labs
+name: bert_finetuned_ner_abhishekverma
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_abhishekverma` is a English model originally trained by AbhishekVerma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_abhishekverma_en_5.2.0_3.0_1699512991381.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_abhishekverma_en_5.2.0_3.0_1699512991381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_abhishekverma|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/AbhishekVerma/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_aimarsg_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_aimarsg_en.md
new file mode 100644
index 000000000000..a60b21147d58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_aimarsg_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_aimarsg BertForTokenClassification from aimarsg
+author: John Snow Labs
+name: bert_finetuned_ner_aimarsg
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_aimarsg` is a English model originally trained by aimarsg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_aimarsg_en_5.2.0_3.0_1699511281669.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_aimarsg_en_5.2.0_3.0_1699511281669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_aimarsg|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/aimarsg/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_alokps_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_alokps_en.md
new file mode 100644
index 000000000000..852795f4924a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_alokps_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_alokps BertForTokenClassification from alokps
+author: John Snow Labs
+name: bert_finetuned_ner_alokps
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_alokps` is a English model originally trained by alokps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_alokps_en_5.2.0_3.0_1699489990217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_alokps_en_5.2.0_3.0_1699489990217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_alokps|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/alokps/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_alphasaber_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_alphasaber_en.md
new file mode 100644
index 000000000000..c0ded97f4a5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_alphasaber_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_alphasaber BertForTokenClassification from alphaSaber
+author: John Snow Labs
+name: bert_finetuned_ner_alphasaber
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_alphasaber` is a English model originally trained by alphaSaber.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_alphasaber_en_5.2.0_3.0_1699495802896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_alphasaber_en_5.2.0_3.0_1699495802896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_alphasaber|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/alphaSaber/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_alvin0220_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_alvin0220_en.md
new file mode 100644
index 000000000000..84a8b4c75df8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_alvin0220_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_alvin0220 BertForTokenClassification from alvin0220
+author: John Snow Labs
+name: bert_finetuned_ner_alvin0220
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_alvin0220` is a English model originally trained by alvin0220.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_alvin0220_en_5.2.0_3.0_1699506652569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_alvin0220_en_5.2.0_3.0_1699506652569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_alvin0220|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/alvin0220/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_amartyobanerjee_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_amartyobanerjee_en.md
new file mode 100644
index 000000000000..2c53a52eac29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_amartyobanerjee_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_amartyobanerjee BertForTokenClassification from amartyobanerjee
+author: John Snow Labs
+name: bert_finetuned_ner_amartyobanerjee
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_amartyobanerjee` is a English model originally trained by amartyobanerjee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_amartyobanerjee_en_5.2.0_3.0_1699516388390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_amartyobanerjee_en_5.2.0_3.0_1699516388390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_amartyobanerjee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/amartyobanerjee/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_atajti_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_atajti_en.md
new file mode 100644
index 000000000000..d8c8137cef67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_atajti_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_atajti BertForTokenClassification from atajti
+author: John Snow Labs
+name: bert_finetuned_ner_atajti
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_atajti` is a English model originally trained by atajti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_atajti_en_5.2.0_3.0_1699488891291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_atajti_en_5.2.0_3.0_1699488891291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_atajti|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/atajti/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_bbbbearczx_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_bbbbearczx_en.md
new file mode 100644
index 000000000000..13311b03d8c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_bbbbearczx_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_bbbbearczx BertForTokenClassification from bbbbearczx
+author: John Snow Labs
+name: bert_finetuned_ner_bbbbearczx
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_bbbbearczx` is a English model originally trained by bbbbearczx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_bbbbearczx_en_5.2.0_3.0_1699499541218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_bbbbearczx_en_5.2.0_3.0_1699499541218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_bbbbearczx|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/bbbbearczx/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_boaii_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_boaii_en.md
new file mode 100644
index 000000000000..7a96b876dc5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_boaii_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_boaii BertForTokenClassification from boaii
+author: John Snow Labs
+name: bert_finetuned_ner_boaii
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_boaii` is a English model originally trained by boaii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_boaii_en_5.2.0_3.0_1699509884210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_boaii_en_5.2.0_3.0_1699509884210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_boaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/boaii/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_bpatwa_shi_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_bpatwa_shi_en.md
new file mode 100644
index 000000000000..a1e1ab664aea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_bpatwa_shi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_bpatwa_shi BertForTokenClassification from bpatwa-shi
+author: John Snow Labs
+name: bert_finetuned_ner_bpatwa_shi
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_bpatwa_shi` is a English model originally trained by bpatwa-shi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_bpatwa_shi_en_5.2.0_3.0_1699499541262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_bpatwa_shi_en_5.2.0_3.0_1699499541262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_bpatwa_shi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/bpatwa-shi/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_carlomax_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_carlomax_en.md
new file mode 100644
index 000000000000..608793e4ef59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_carlomax_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_carlomax BertForTokenClassification from carlomax
+author: John Snow Labs
+name: bert_finetuned_ner_carlomax
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_carlomax` is a English model originally trained by carlomax.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_carlomax_en_5.2.0_3.0_1699504054894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_carlomax_en_5.2.0_3.0_1699504054894.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_carlomax|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/carlomax/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_chonlam_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_chonlam_en.md
new file mode 100644
index 000000000000..6714e119046a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_chonlam_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_chonlam BertForTokenClassification from chonlam
+author: John Snow Labs
+name: bert_finetuned_ner_chonlam
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_chonlam` is a English model originally trained by chonlam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_chonlam_en_5.2.0_3.0_1699500752023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_chonlam_en_5.2.0_3.0_1699500752023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_chonlam|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/chonlam/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_cindymc_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_cindymc_en.md
new file mode 100644
index 000000000000..f3ce117d1159
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_cindymc_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_cindymc BertForTokenClassification from cindymc
+author: John Snow Labs
+name: bert_finetuned_ner_cindymc
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_cindymc` is a English model originally trained by cindymc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_cindymc_en_5.2.0_3.0_1699506062294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_cindymc_en_5.2.0_3.0_1699506062294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_cindymc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/cindymc/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_cptbaas_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_cptbaas_en.md
new file mode 100644
index 000000000000..3325fad40c8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_cptbaas_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_cptbaas BertForTokenClassification from CptBaas
+author: John Snow Labs
+name: bert_finetuned_ner_cptbaas
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_cptbaas` is a English model originally trained by CptBaas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_cptbaas_en_5.2.0_3.0_1699511280012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_cptbaas_en_5.2.0_3.0_1699511280012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_cptbaas|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/CptBaas/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_daethyra_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_daethyra_en.md
new file mode 100644
index 000000000000..fef2f6cc06a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_daethyra_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_daethyra BertForTokenClassification from daethyra
+author: John Snow Labs
+name: bert_finetuned_ner_daethyra
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_daethyra` is a English model originally trained by daethyra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_daethyra_en_5.2.0_3.0_1699501984291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_daethyra_en_5.2.0_3.0_1699501984291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_daethyra|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/daethyra/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_fatmazahraz_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_fatmazahraz_en.md
new file mode 100644
index 000000000000..8d57d9b9d324
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_fatmazahraz_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_fatmazahraz BertForTokenClassification from FatmaZahraZ
+author: John Snow Labs
+name: bert_finetuned_ner_fatmazahraz
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_fatmazahraz` is a English model originally trained by FatmaZahraZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_fatmazahraz_en_5.2.0_3.0_1699497466595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_fatmazahraz_en_5.2.0_3.0_1699497466595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_fatmazahraz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/FatmaZahraZ/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_fengi_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_fengi_en.md
new file mode 100644
index 000000000000..0bb7dbd70833
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_fengi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_fengi BertForTokenClassification from fengi
+author: John Snow Labs
+name: bert_finetuned_ner_fengi
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_fengi` is a English model originally trained by fengi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_fengi_en_5.2.0_3.0_1699491714551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_fengi_en_5.2.0_3.0_1699491714551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_fengi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/fengi/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_hatman_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_hatman_en.md
new file mode 100644
index 000000000000..e797714819cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_hatman_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_hatman BertForTokenClassification from Hatman
+author: John Snow Labs
+name: bert_finetuned_ner_hatman
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_hatman` is a English model originally trained by Hatman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_hatman_en_5.2.0_3.0_1699515131416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_hatman_en_5.2.0_3.0_1699515131416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_hatman|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Hatman/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_ish97_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_ish97_en.md
new file mode 100644
index 000000000000..45c19037dcb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_ish97_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_ish97 BertForTokenClassification from ish97
+author: John Snow Labs
+name: bert_finetuned_ner_ish97
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_ish97` is a English model originally trained by ish97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_ish97_en_5.2.0_3.0_1699514322342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_ish97_en_5.2.0_3.0_1699514322342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_ish97|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/ish97/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_jfarmerphd_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_jfarmerphd_en.md
new file mode 100644
index 000000000000..bc16b848404b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_jfarmerphd_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_jfarmerphd BertForTokenClassification from jfarmerphd
+author: John Snow Labs
+name: bert_finetuned_ner_jfarmerphd
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_jfarmerphd` is a English model originally trained by jfarmerphd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jfarmerphd_en_5.2.0_3.0_1699502208660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jfarmerphd_en_5.2.0_3.0_1699502208660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_jfarmerphd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jfarmerphd/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_jimbung_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_jimbung_en.md
new file mode 100644
index 000000000000..17c6de84d8e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_jimbung_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_jimbung BertForTokenClassification from jimbung
+author: John Snow Labs
+name: bert_finetuned_ner_jimbung
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_jimbung` is a English model originally trained by jimbung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jimbung_en_5.2.0_3.0_1699505163647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jimbung_en_5.2.0_3.0_1699505163647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_jimbung|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/jimbung/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_krolis_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_krolis_en.md
new file mode 100644
index 000000000000..2a4ef543fb5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_krolis_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_krolis BertForTokenClassification from krolis
+author: John Snow Labs
+name: bert_finetuned_ner_krolis
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_krolis` is a English model originally trained by krolis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_krolis_en_5.2.0_3.0_1699514321195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_krolis_en_5.2.0_3.0_1699514321195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_krolis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/krolis/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_lyk0013_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_lyk0013_en.md
new file mode 100644
index 000000000000..f0db96a72682
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_lyk0013_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_lyk0013 BertForTokenClassification from lyk0013
+author: John Snow Labs
+name: bert_finetuned_ner_lyk0013
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_lyk0013` is a English model originally trained by lyk0013.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_lyk0013_en_5.2.0_3.0_1699489989478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_lyk0013_en_5.2.0_3.0_1699489989478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_lyk0013|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/lyk0013/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_manoharahuggingface_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_manoharahuggingface_en.md
new file mode 100644
index 000000000000..d0083eae3304
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_manoharahuggingface_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_manoharahuggingface BertForTokenClassification from manoharahuggingface
+author: John Snow Labs
+name: bert_finetuned_ner_manoharahuggingface
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_manoharahuggingface` is a English model originally trained by manoharahuggingface.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_manoharahuggingface_en_5.2.0_3.0_1699503716867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_manoharahuggingface_en_5.2.0_3.0_1699503716867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_manoharahuggingface|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/manoharahuggingface/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_mholi_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_mholi_en.md
new file mode 100644
index 000000000000..bb2b12b2f6d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_mholi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_mholi BertForTokenClassification from mholi
+author: John Snow Labs
+name: bert_finetuned_ner_mholi
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_mholi` is a English model originally trained by mholi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mholi_en_5.2.0_3.0_1699507963413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_mholi_en_5.2.0_3.0_1699507963413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_mholi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/mholi/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_petros89_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_petros89_en.md
new file mode 100644
index 000000000000..6c73a49bf17d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_petros89_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_petros89 BertForTokenClassification from Petros89
+author: John Snow Labs
+name: bert_finetuned_ner_petros89
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_petros89` is a English model originally trained by Petros89.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_petros89_en_5.2.0_3.0_1699498767212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_petros89_en_5.2.0_3.0_1699498767212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_petros89|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/Petros89/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_sdinger_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_sdinger_en.md
new file mode 100644
index 000000000000..00b49aad88bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_sdinger_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_sdinger BertForTokenClassification from sdinger
+author: John Snow Labs
+name: bert_finetuned_ner_sdinger
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_sdinger` is a English model originally trained by sdinger.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_sdinger_en_5.2.0_3.0_1699489989902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_sdinger_en_5.2.0_3.0_1699489989902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_sdinger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/sdinger/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_shamweel_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_shamweel_en.md
new file mode 100644
index 000000000000..b361111115cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_shamweel_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_shamweel BertForTokenClassification from shamweel
+author: John Snow Labs
+name: bert_finetuned_ner_shamweel
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_shamweel` is a English model originally trained by shamweel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_shamweel_en_5.2.0_3.0_1699513787914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_shamweel_en_5.2.0_3.0_1699513787914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_shamweel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/shamweel/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_steven_qi_zhao_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_steven_qi_zhao_en.md
new file mode 100644
index 000000000000..7eeb98f914cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_steven_qi_zhao_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_steven_qi_zhao BertForTokenClassification from steven-qi-zhao
+author: John Snow Labs
+name: bert_finetuned_ner_steven_qi_zhao
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_steven_qi_zhao` is a English model originally trained by steven-qi-zhao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_steven_qi_zhao_en_5.2.0_3.0_1699519339158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_steven_qi_zhao_en_5.2.0_3.0_1699519339158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_steven_qi_zhao|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/steven-qi-zhao/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_the_bee_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_the_bee_en.md
new file mode 100644
index 000000000000..e039abac121d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_the_bee_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_the_bee BertForTokenClassification from the-bee
+author: John Snow Labs
+name: bert_finetuned_ner_the_bee
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_the_bee` is a English model originally trained by the-bee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_the_bee_en_5.2.0_3.0_1699501147930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_the_bee_en_5.2.0_3.0_1699501147930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_the_bee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/the-bee/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_thientran_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_thientran_en.md
new file mode 100644
index 000000000000..2b8f06e4a0be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_thientran_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_thientran BertForTokenClassification from thientran
+author: John Snow Labs
+name: bert_finetuned_ner_thientran
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_thientran` is a English model originally trained by thientran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_thientran_en_5.2.0_3.0_1699497264498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_thientran_en_5.2.0_3.0_1699497264498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_thientran|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/thientran/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_v2_vbhasin_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_v2_vbhasin_en.md
new file mode 100644
index 000000000000..8b8c8e68d65f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_v2_vbhasin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_v2_vbhasin BertForTokenClassification from vbhasin
+author: John Snow Labs
+name: bert_finetuned_ner_v2_vbhasin
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_v2_vbhasin` is a English model originally trained by vbhasin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_v2_vbhasin_en_5.2.0_3.0_1699500752025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_v2_vbhasin_en_5.2.0_3.0_1699500752025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_v2_vbhasin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/vbhasin/bert-finetuned-ner-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_viktordo_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_viktordo_en.md
new file mode 100644
index 000000000000..8390a280819b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_viktordo_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_viktordo BertForTokenClassification from ViktorDo
+author: John Snow Labs
+name: bert_finetuned_ner_viktordo
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_viktordo` is a English model originally trained by ViktorDo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_viktordo_en_5.2.0_3.0_1699488420472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_viktordo_en_5.2.0_3.0_1699488420472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_viktordo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/ViktorDo/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_yixi_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_yixi_en.md
new file mode 100644
index 000000000000..73da8ce207f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_ner_yixi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_yixi BertForTokenClassification from yixi
+author: John Snow Labs
+name: bert_finetuned_ner_yixi
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_yixi` is a English model originally trained by yixi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_yixi_en_5.2.0_3.0_1699519339198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_yixi_en_5.2.0_3.0_1699519339198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_yixi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/yixi/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_requirements_rodp_en.md b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_requirements_rodp_en.md
new file mode 100644
index 000000000000..265baf95ac77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-bert_finetuned_requirements_rodp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_requirements_rodp BertForTokenClassification from RodP
+author: John Snow Labs
+name: bert_finetuned_requirements_rodp
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_requirements_rodp` is a English model originally trained by RodP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_requirements_rodp_en_5.2.0_3.0_1699515407370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_requirements_rodp_en_5.2.0_3.0_1699515407370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertimbau_base_lener_breton_finetuned_lener_breton|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|pt|
+|Size:|405.9 MB|
+
+## References
+
+https://huggingface.co/Luciano/bertimbau-base-lener-br-finetuned-lener-br
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-berttest2_classtest_en.md b/docs/_posts/ahmedlone127/2023-11-09-berttest2_classtest_en.md
new file mode 100644
index 000000000000..5458fd658911
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-berttest2_classtest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English berttest2_classtest BertForTokenClassification from classtest
+author: John Snow Labs
+name: berttest2_classtest
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berttest2_classtest` is a English model originally trained by classtest.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berttest2_classtest_en_5.2.0_3.0_1699507827407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berttest2_classtest_en_5.2.0_3.0_1699507827407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berttest2_classtest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/classtest/berttest2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-beto_sentiment_analysis_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-09-beto_sentiment_analysis_finetuned_ner_en.md
new file mode 100644
index 000000000000..5f21791f5bed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-beto_sentiment_analysis_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English beto_sentiment_analysis_finetuned_ner BertForTokenClassification from asdc
+author: John Snow Labs
+name: beto_sentiment_analysis_finetuned_ner
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`beto_sentiment_analysis_finetuned_ner` is a English model originally trained by asdc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beto_sentiment_analysis_finetuned_ner_en_5.2.0_3.0_1699505163606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beto_sentiment_analysis_finetuned_ner_en_5.2.0_3.0_1699505163606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beto_sentiment_analysis_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/asdc/beto-sentiment-analysis-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-biobert_finetuned_ner_conll2003_en.md b/docs/_posts/ahmedlone127/2023-11-09-biobert_finetuned_ner_conll2003_en.md
new file mode 100644
index 000000000000..64302f8a1842
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-biobert_finetuned_ner_conll2003_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biobert_finetuned_ner_conll2003 BertForTokenClassification from ViktorDo
+author: John Snow Labs
+name: biobert_finetuned_ner_conll2003
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_finetuned_ner_conll2003` is a English model originally trained by ViktorDo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_finetuned_ner_conll2003_en_5.2.0_3.0_1699517061564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_finetuned_ner_conll2003_en_5.2.0_3.0_1699517061564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_finetuned_ner_conll2003|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/ViktorDo/BioBERT-finetuned-ner-conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-burmese_ner_model1_2_split_by_sentence_en.md b/docs/_posts/ahmedlone127/2023-11-09-burmese_ner_model1_2_split_by_sentence_en.md
new file mode 100644
index 000000000000..89baff7379ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-burmese_ner_model1_2_split_by_sentence_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_ner_model1_2_split_by_sentence BertForTokenClassification from Gurkan
+author: John Snow Labs
+name: burmese_ner_model1_2_split_by_sentence
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_ner_model1_2_split_by_sentence` is a English model originally trained by Gurkan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_ner_model1_2_split_by_sentence_en_5.2.0_3.0_1699520490339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_ner_model1_2_split_by_sentence_en_5.2.0_3.0_1699520490339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_ner_model1_2_split_by_sentence|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/Gurkan/my_ner_model1_2_split_by_sentence_
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-burmese_xlm_roberta_large_finetuned_conlljob01_en.md b/docs/_posts/ahmedlone127/2023-11-09-burmese_xlm_roberta_large_finetuned_conlljob01_en.md
new file mode 100644
index 000000000000..2a63a76d4c94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-burmese_xlm_roberta_large_finetuned_conlljob01_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_xlm_roberta_large_finetuned_conlljob01 BertForTokenClassification from BahAdoR0101
+author: John Snow Labs
+name: burmese_xlm_roberta_large_finetuned_conlljob01
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_xlm_roberta_large_finetuned_conlljob01` is a English model originally trained by BahAdoR0101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_xlm_roberta_large_finetuned_conlljob01_en_5.2.0_3.0_1699502609190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_xlm_roberta_large_finetuned_conlljob01_en_5.2.0_3.0_1699502609190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_xlm_roberta_large_finetuned_conlljob01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/BahAdoR0101/my_xlm-roberta-large-finetuned-conlljob01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-cause_effect_detection_persian_en.md b/docs/_posts/ahmedlone127/2023-11-09-cause_effect_detection_persian_en.md
new file mode 100644
index 000000000000..8cd7c04aa688
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-cause_effect_detection_persian_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English cause_effect_detection_persian BertForTokenClassification from Amin-Saeidi
+author: John Snow Labs
+name: cause_effect_detection_persian
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cause_effect_detection_persian` is a English model originally trained by Amin-Saeidi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cause_effect_detection_persian_en_5.2.0_3.0_1699491781196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cause_effect_detection_persian_en_5.2.0_3.0_1699491781196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cause_effect_detection_persian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|606.4 MB|
+
+## References
+
+https://huggingface.co/Amin-Saeidi/Cause_Effect_Detection_persian
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-chinese_macbert_base_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-09-chinese_macbert_base_finetuned_ner_en.md
new file mode 100644
index 000000000000..5cfb10a5cabd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-chinese_macbert_base_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English chinese_macbert_base_finetuned_ner BertForTokenClassification from zhiguoxu
+author: John Snow Labs
+name: chinese_macbert_base_finetuned_ner
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_macbert_base_finetuned_ner` is a English model originally trained by zhiguoxu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_macbert_base_finetuned_ner_en_5.2.0_3.0_1699512017261.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_macbert_base_finetuned_ner_en_5.2.0_3.0_1699512017261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chinese_macbert_base_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.2 MB|
+
+## References
+
+https://huggingface.co/zhiguoxu/chinese-macbert-base-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-ckiplab_bert_chinese_david_ner_en.md b/docs/_posts/ahmedlone127/2023-11-09-ckiplab_bert_chinese_david_ner_en.md
new file mode 100644
index 000000000000..0f7412715568
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-ckiplab_bert_chinese_david_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ckiplab_bert_chinese_david_ner BertForTokenClassification from davidliu1110
+author: John Snow Labs
+name: ckiplab_bert_chinese_david_ner
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ckiplab_bert_chinese_david_ner` is a English model originally trained by davidliu1110.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ckiplab_bert_chinese_david_ner_en_5.2.0_3.0_1699510375633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ckiplab_bert_chinese_david_ner_en_5.2.0_3.0_1699510375633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ckiplab_bert_chinese_david_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|381.0 MB|
+
+## References
+
+https://huggingface.co/davidliu1110/ckiplab-bert-chinese-david-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-downstream_german_bert_en.md b/docs/_posts/ahmedlone127/2023-11-09-downstream_german_bert_en.md
new file mode 100644
index 000000000000..1e49f7f2cc94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-downstream_german_bert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English downstream_german_bert BertForTokenClassification from codern
+author: John Snow Labs
+name: downstream_german_bert
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`downstream_german_bert` is a English model originally trained by codern.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/downstream_german_bert_en_5.2.0_3.0_1699508288253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/downstream_german_bert_en_5.2.0_3.0_1699508288253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|downstream_german_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/codern/downstream-german-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-english_bertsemtagger_gold_en.md b/docs/_posts/ahmedlone127/2023-11-09-english_bertsemtagger_gold_en.md
new file mode 100644
index 000000000000..d1afb11dff1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-english_bertsemtagger_gold_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English english_bertsemtagger_gold BertForTokenClassification from hfunakura
+author: John Snow Labs
+name: english_bertsemtagger_gold
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_bertsemtagger_gold` is a English model originally trained by hfunakura.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_bertsemtagger_gold_en_5.2.0_3.0_1699488767757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_bertsemtagger_gold_en_5.2.0_3.0_1699488767757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_bertsemtagger_gold|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/hfunakura/en-bertsemtagger-gold
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-entity_extraction_en.md b/docs/_posts/ahmedlone127/2023-11-09-entity_extraction_en.md
new file mode 100644
index 000000000000..0dae1a27bb06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-entity_extraction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English entity_extraction BertForTokenClassification from test123
+author: John Snow Labs
+name: entity_extraction
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`entity_extraction` is a English model originally trained by test123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entity_extraction_en_5.2.0_3.0_1699499020342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/entity_extraction_en_5.2.0_3.0_1699499020342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|entity_extraction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/test123/entity_extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-fin3_en.md b/docs/_posts/ahmedlone127/2023-11-09-fin3_en.md
new file mode 100644
index 000000000000..1fbeb051e68a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-fin3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English fin3 BertForTokenClassification from redevaaa
+author: John Snow Labs
+name: fin3
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin3` is a English model originally trained by redevaaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin3_en_5.2.0_3.0_1699508290975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin3_en_5.2.0_3.0_1699508290975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fin3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.5 MB|
+
+## References
+
+https://huggingface.co/redevaaa/fin3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-finetuned_cgp_added_birth_date__female_weight_1_5__test_rundi_false__p_dataset_100_en.md b/docs/_posts/ahmedlone127/2023-11-09-finetuned_cgp_added_birth_date__female_weight_1_5__test_rundi_false__p_dataset_100_en.md
new file mode 100644
index 000000000000..b3fa5a4a4b36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-finetuned_cgp_added_birth_date__female_weight_1_5__test_rundi_false__p_dataset_100_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_cgp_added_birth_date__female_weight_1_5__test_rundi_false__p_dataset_100 BertForTokenClassification from emilylearning
+author: John Snow Labs
+name: finetuned_cgp_added_birth_date__female_weight_1_5__test_rundi_false__p_dataset_100
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_cgp_added_birth_date__female_weight_1_5__test_rundi_false__p_dataset_100` is a English model originally trained by emilylearning.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_cgp_added_birth_date__female_weight_1_5__test_rundi_false__p_dataset_100_en_5.2.0_3.0_1699506462950.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_cgp_added_birth_date__female_weight_1_5__test_rundi_false__p_dataset_100_en_5.2.0_3.0_1699506462950.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_cgp_added_birth_date__female_weight_1_5__test_rundi_false__p_dataset_100|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/emilylearning/finetuned_cgp_added_birth_date__female_weight_1.5__test_run_False__p_dataset_100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-gene_finetuned_en.md b/docs/_posts/ahmedlone127/2023-11-09-gene_finetuned_en.md
new file mode 100644
index 000000000000..a56af11016e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-gene_finetuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English gene_finetuned BertForTokenClassification from Randomui
+author: John Snow Labs
+name: gene_finetuned
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gene_finetuned` is a English model originally trained by Randomui.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gene_finetuned_en_5.2.0_3.0_1699513245987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gene_finetuned_en_5.2.0_3.0_1699513245987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gene_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/Randomui/gene_finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-german_bert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-09-german_bert_finetuned_ner_en.md
new file mode 100644
index 000000000000..c8e6b91e7e5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-german_bert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English german_bert_finetuned_ner BertForTokenClassification from herokiller
+author: John Snow Labs
+name: german_bert_finetuned_ner
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`german_bert_finetuned_ner` is a English model originally trained by herokiller.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_bert_finetuned_ner_en_5.2.0_3.0_1699520424997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_bert_finetuned_ner_en_5.2.0_3.0_1699520424997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_bert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/herokiller/german-bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-german_medbert_birads_ner100_de.md b/docs/_posts/ahmedlone127/2023-11-09-german_medbert_birads_ner100_de.md
new file mode 100644
index 000000000000..6fb38adb4186
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-german_medbert_birads_ner100_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German german_medbert_birads_ner100 BertForTokenClassification from BobbyG97
+author: John Snow Labs
+name: german_medbert_birads_ner100
+date: 2023-11-09
+tags: [bert, de, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`german_medbert_birads_ner100` is a German model originally trained by BobbyG97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_medbert_birads_ner100_de_5.2.0_3.0_1699521853207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_medbert_birads_ner100_de_5.2.0_3.0_1699521853207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_medbert_birads_ner100|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/BobbyG97/German-MedBERT-Birads-NER100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-hebert_medical_ner_non_pii_en.md b/docs/_posts/ahmedlone127/2023-11-09-hebert_medical_ner_non_pii_en.md
new file mode 100644
index 000000000000..7d0448cefd2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-hebert_medical_ner_non_pii_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hebert_medical_ner_non_pii BertForTokenClassification from cp500
+author: John Snow Labs
+name: hebert_medical_ner_non_pii
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hebert_medical_ner_non_pii` is a English model originally trained by cp500.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hebert_medical_ner_non_pii_en_5.2.0_3.0_1699496002641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hebert_medical_ner_non_pii_en_5.2.0_3.0_1699496002641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hebert_medical_ner_non_pii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|690.4 MB|
+
+## References
+
+https://huggingface.co/cp500/hebert_medical_ner_non_pii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-indobert_model_ner_en.md b/docs/_posts/ahmedlone127/2023-11-09-indobert_model_ner_en.md
new file mode 100644
index 000000000000..f7ef92f20531
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-indobert_model_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English indobert_model_ner BertForTokenClassification from syafiqfaray
+author: John Snow Labs
+name: indobert_model_ner
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_model_ner` is a English model originally trained by syafiqfaray.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_model_ner_en_5.2.0_3.0_1699502608859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_model_ner_en_5.2.0_3.0_1699502608859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_model_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|411.8 MB|
+
+## References
+
+https://huggingface.co/syafiqfaray/indobert-model-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-jobbert_skill_en.md b/docs/_posts/ahmedlone127/2023-11-09-jobbert_skill_en.md
new file mode 100644
index 000000000000..de35db84dc77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-jobbert_skill_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English jobbert_skill BertForTokenClassification from Andrei95
+author: John Snow Labs
+name: jobbert_skill
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jobbert_skill` is a English model originally trained by Andrei95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jobbert_skill_en_5.2.0_3.0_1699490100170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jobbert_skill_en_5.2.0_3.0_1699490100170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jobbert_skill|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|402.2 MB|
+
+## References
+
+https://huggingface.co/Andrei95/jobbert-skill
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-lewit_informal_tagger_en.md b/docs/_posts/ahmedlone127/2023-11-09-lewit_informal_tagger_en.md
new file mode 100644
index 000000000000..e2352ecca3f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-lewit_informal_tagger_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English lewit_informal_tagger BertForTokenClassification from s-nlp
+author: John Snow Labs
+name: lewit_informal_tagger
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lewit_informal_tagger` is a English model originally trained by s-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lewit_informal_tagger_en_5.2.0_3.0_1699505290280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lewit_informal_tagger_en_5.2.0_3.0_1699505290280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|me_lid_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|mr|
+|Size:|890.6 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/me-lid-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-medicare_ner_en.md b/docs/_posts/ahmedlone127/2023-11-09-medicare_ner_en.md
new file mode 100644
index 000000000000..ecd6ac5cf01c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-medicare_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English medicare_ner BertForTokenClassification from m-aliabbas1
+author: John Snow Labs
+name: medicare_ner
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medicare_ner` is a English model originally trained by m-aliabbas1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medicare_ner_en_5.2.0_3.0_1699513787914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medicare_ner_en_5.2.0_3.0_1699513787914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medicare_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/m-aliabbas1/medicare_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-n2c2_container_bert_10ep_en.md b/docs/_posts/ahmedlone127/2023-11-09-n2c2_container_bert_10ep_en.md
new file mode 100644
index 000000000000..75734e695cd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-n2c2_container_bert_10ep_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English n2c2_container_bert_10ep BertForTokenClassification from georgeleung30
+author: John Snow Labs
+name: n2c2_container_bert_10ep
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n2c2_container_bert_10ep` is a English model originally trained by georgeleung30.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n2c2_container_bert_10ep_en_5.2.0_3.0_1699514320686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n2c2_container_bert_10ep_en_5.2.0_3.0_1699514320686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_bert_base_multilingual_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|625.6 MB|
+
+## References
+
+https://huggingface.co/Jyotiyadav/NER-bert-base-multilingual-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-ner_conditional_dutch_official_11_en.md b/docs/_posts/ahmedlone127/2023-11-09-ner_conditional_dutch_official_11_en.md
new file mode 100644
index 000000000000..ed9f0b664b7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-ner_conditional_dutch_official_11_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_conditional_dutch_official_11 BertForTokenClassification from Annemae
+author: John Snow Labs
+name: ner_conditional_dutch_official_11
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_conditional_dutch_official_11` is a English model originally trained by Annemae.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_conditional_dutch_official_11_en_5.2.0_3.0_1699497599770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_conditional_dutch_official_11_en_5.2.0_3.0_1699497599770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_conditional_dutch_official_11|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Annemae/ner_conditional_nl_official_11
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-ner_natfike_en.md b/docs/_posts/ahmedlone127/2023-11-09-ner_natfike_en.md
new file mode 100644
index 000000000000..24f128990364
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-ner_natfike_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_natfike BertForTokenClassification from Natfike
+author: John Snow Labs
+name: ner_natfike
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_natfike` is a English model originally trained by Natfike.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_natfike_en_5.2.0_3.0_1699509621618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_natfike_en_5.2.0_3.0_1699509621618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|novels_ner_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|pl|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/ZuzannaH/novels_ner_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-nyt_ingredient_tagger_paraphrase_minilm_l3_v2_en.md b/docs/_posts/ahmedlone127/2023-11-09-nyt_ingredient_tagger_paraphrase_minilm_l3_v2_en.md
new file mode 100644
index 000000000000..21caebd51108
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-nyt_ingredient_tagger_paraphrase_minilm_l3_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nyt_ingredient_tagger_paraphrase_minilm_l3_v2 BertForTokenClassification from napsternxg
+author: John Snow Labs
+name: nyt_ingredient_tagger_paraphrase_minilm_l3_v2
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nyt_ingredient_tagger_paraphrase_minilm_l3_v2` is a English model originally trained by napsternxg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nyt_ingredient_tagger_paraphrase_minilm_l3_v2_en_5.2.0_3.0_1699506734376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nyt_ingredient_tagger_paraphrase_minilm_l3_v2_en_5.2.0_3.0_1699506734376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nyt_ingredient_tagger_paraphrase_minilm_l3_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|64.1 MB|
+
+## References
+
+https://huggingface.co/napsternxg/nyt-ingredient-tagger-paraphrase-MiniLM-L3-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-ote_domianadaption_absa_marbert2_hard_run1_en.md b/docs/_posts/ahmedlone127/2023-11-09-ote_domianadaption_absa_marbert2_hard_run1_en.md
new file mode 100644
index 000000000000..1f6202ae79c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-ote_domianadaption_absa_marbert2_hard_run1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ote_domianadaption_absa_marbert2_hard_run1 BertForTokenClassification from salohnana2018
+author: John Snow Labs
+name: ote_domianadaption_absa_marbert2_hard_run1
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ote_domianadaption_absa_marbert2_hard_run1` is a English model originally trained by salohnana2018.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ote_domianadaption_absa_marbert2_hard_run1_en_5.2.0_3.0_1699517348941.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ote_domianadaption_absa_marbert2_hard_run1_en_5.2.0_3.0_1699517348941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ote_domianadaption_absa_marbert2_hard_run1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|606.5 MB|
+
+## References
+
+https://huggingface.co/salohnana2018/OTE-domianAdaption-ABSA-MARBERT2-HARD-run1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-porttagger_oilgas_base_en.md b/docs/_posts/ahmedlone127/2023-11-09-porttagger_oilgas_base_en.md
new file mode 100644
index 000000000000..c84d8e2d2b4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-porttagger_oilgas_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English porttagger_oilgas_base BertForTokenClassification from Emanuel
+author: John Snow Labs
+name: porttagger_oilgas_base
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`porttagger_oilgas_base` is a English model originally trained by Emanuel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/porttagger_oilgas_base_en_5.2.0_3.0_1699521038207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/porttagger_oilgas_base_en_5.2.0_3.0_1699521038207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|porttagger_oilgas_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|406.0 MB|
+
+## References
+
+https://huggingface.co/Emanuel/porttagger-oilgas-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-primary_outcome_extraction_en.md b/docs/_posts/ahmedlone127/2023-11-09-primary_outcome_extraction_en.md
new file mode 100644
index 000000000000..c9553142acd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-primary_outcome_extraction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English primary_outcome_extraction BertForTokenClassification from aakorolyova
+author: John Snow Labs
+name: primary_outcome_extraction
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`primary_outcome_extraction` is a English model originally trained by aakorolyova.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/primary_outcome_extraction_en_5.2.0_3.0_1699488767563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/primary_outcome_extraction_en_5.2.0_3.0_1699488767563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|primary_outcome_extraction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/aakorolyova/primary_outcome_extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-rubert_tiny2_srl_en.md b/docs/_posts/ahmedlone127/2023-11-09-rubert_tiny2_srl_en.md
new file mode 100644
index 000000000000..81758a9eeafa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-rubert_tiny2_srl_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rubert_tiny2_srl BertForTokenClassification from dl-ru
+author: John Snow Labs
+name: rubert_tiny2_srl
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_tiny2_srl` is a English model originally trained by dl-ru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny2_srl_en_5.2.0_3.0_1699489702161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny2_srl_en_5.2.0_3.0_1699489702161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny2_srl|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|109.1 MB|
+
+## References
+
+https://huggingface.co/dl-ru/rubert-tiny2-srl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-scibert_allen_case_v3_en.md b/docs/_posts/ahmedlone127/2023-11-09-scibert_allen_case_v3_en.md
new file mode 100644
index 000000000000..5f162bb51366
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-scibert_allen_case_v3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English scibert_allen_case_v3 BertForTokenClassification from sayalik13
+author: John Snow Labs
+name: scibert_allen_case_v3
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scibert_allen_case_v3` is a English model originally trained by sayalik13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scibert_allen_case_v3_en_5.2.0_3.0_1699503716877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scibert_allen_case_v3_en_5.2.0_3.0_1699503716877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scibert_allen_case_v3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/sayalik13/scibert-allen-case-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-software_benchmark_bio_en.md b/docs/_posts/ahmedlone127/2023-11-09-software_benchmark_bio_en.md
new file mode 100644
index 000000000000..224f9056a581
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-software_benchmark_bio_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English software_benchmark_bio BertForTokenClassification from oeg
+author: John Snow Labs
+name: software_benchmark_bio
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`software_benchmark_bio` is a English model originally trained by oeg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/software_benchmark_bio_en_5.2.0_3.0_1699495824568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/software_benchmark_bio_en_5.2.0_3.0_1699495824568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|software_benchmark_bio|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/oeg/software_benchmark_bio
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-test_nerv2_en.md b/docs/_posts/ahmedlone127/2023-11-09-test_nerv2_en.md
new file mode 100644
index 000000000000..0c408b93fd50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-test_nerv2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English test_nerv2 BertForTokenClassification from CarlosDataAnalysis
+author: John Snow Labs
+name: test_nerv2
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_nerv2` is a English model originally trained by CarlosDataAnalysis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_nerv2_en_5.2.0_3.0_1699521037511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_nerv2_en_5.2.0_3.0_1699521037511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_nerv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/CarlosDataAnalysis/test-NERv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-09-vietnamese_feedback_model_1_1_0_en.md b/docs/_posts/ahmedlone127/2023-11-09-vietnamese_feedback_model_1_1_0_en.md
new file mode 100644
index 000000000000..0f937d346de6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-09-vietnamese_feedback_model_1_1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English vietnamese_feedback_model_1_1_0 BertForTokenClassification from P829692
+author: John Snow Labs
+name: vietnamese_feedback_model_1_1_0
+date: 2023-11-09
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vietnamese_feedback_model_1_1_0` is a English model originally trained by P829692.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vietnamese_feedback_model_1_1_0_en_5.2.0_3.0_1699517348693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vietnamese_feedback_model_1_1_0_en_5.2.0_3.0_1699517348693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vietnamese_feedback_model_1_1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/P829692/vietnamese_feedback_model_1_1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_base_cased_qa_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_base_cased_qa_squad2_en.md
new file mode 100644
index 000000000000..c98054bcc7d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_base_cased_qa_squad2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from deepset)
+author: John Snow Labs
+name: bert_base_cased_qa_squad2
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-squad2` is a English model orginally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_qa_squad2_en_5.2.0_3.0_1699785841705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_qa_squad2_en_5.2.0_3.0_1699785841705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_base_cased_qa_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_base_cased_qa_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.base_cased.by_deepset").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_qa_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepset/bert-base-cased-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_3lang_xx.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_3lang_xx.md
new file mode 100644
index 000000000000..4e6153e9cff6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_3lang_xx.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Cased model (from krinal214)
+author: John Snow Labs
+name: bert_qa_3lang
+date: 2023-11-12
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-3lang` is a Multilingual model originally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_3lang_xx_5.2.0_3.0_1699786324189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_3lang_xx_5.2.0_3.0_1699786324189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_3lang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-3lang
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_adars_base_cased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_adars_base_cased_finetuned_squad_en.md
new file mode 100644
index 000000000000..f1016ad30df9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_adars_base_cased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from Adars)
+author: John Snow Labs
+name: bert_qa_adars_base_cased_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-finetuned-squad` is a English model originally trained by `Adars`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_adars_base_cased_finetuned_squad_en_5.2.0_3.0_1699788427985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_adars_base_cased_finetuned_squad_en_5.2.0_3.0_1699788427985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_adars_base_cased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_adars_base_cased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_adars_base_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Adars/bert-base-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ahujaniharika95_minilm_uncased_squad2_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ahujaniharika95_minilm_uncased_squad2_finetuned_squad_en.md
new file mode 100644
index 000000000000..a108fd3e5c23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ahujaniharika95_minilm_uncased_squad2_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Mini Uncased model (from ahujaniharika95)
+author: John Snow Labs
+name: bert_qa_ahujaniharika95_minilm_uncased_squad2_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `minilm-uncased-squad2-finetuned-squad` is a English model originally trained by `ahujaniharika95`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ahujaniharika95_minilm_uncased_squad2_finetuned_squad_en_5.2.0_3.0_1699788587653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ahujaniharika95_minilm_uncased_squad2_finetuned_squad_en_5.2.0_3.0_1699788587653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_ahujaniharika95_minilm_uncased_squad2_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_ahujaniharika95_minilm_uncased_squad2_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2.uncased_mini_lm_mini_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ahujaniharika95_minilm_uncased_squad2_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|123.8 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ahujaniharika95/minilm-uncased-squad2-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ainize_klue_bert_base_mrc_ko.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ainize_klue_bert_base_mrc_ko.md
new file mode 100644
index 000000000000..37271950166e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ainize_klue_bert_base_mrc_ko.md
@@ -0,0 +1,113 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering model (from ainize)
+author: John Snow Labs
+name: bert_qa_ainize_klue_bert_base_mrc
+date: 2023-11-12
+tags: [ko, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `klue-bert-base-mrc` is a Korean model orginally trained by `ainize`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ainize_klue_bert_base_mrc_ko_5.2.0_3.0_1699787802266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ainize_klue_bert_base_mrc_ko_5.2.0_3.0_1699787802266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_ainize_klue_bert_base_mrc","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_ainize_klue_bert_base_mrc","ko")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.klue.bert.base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ainize_klue_bert_base_mrc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|412.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ainize/klue-bert-base-mrc
+- https://ainize.ai/
+- https://main-klue-mrc-bert-scy6500.endpoint.ainize.ai/
+- https://ainize.ai/scy6500/KLUE-MRC-BERT?branch=main
+- https://ainize.ai/teachable-nlp
+- https://link.ainize.ai/3FjvBVn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_aiyshwariya_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_aiyshwariya_finetuned_squad_en.md
new file mode 100644
index 000000000000..81e655f413eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_aiyshwariya_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Aiyshwariya)
+author: John Snow Labs
+name: bert_qa_aiyshwariya_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `Aiyshwariya`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_aiyshwariya_finetuned_squad_en_5.2.0_3.0_1699788850083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_aiyshwariya_finetuned_squad_en_5.2.0_3.0_1699788850083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_aiyshwariya_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_aiyshwariya_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_aiyshwariya_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Aiyshwariya/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ajuste_01_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ajuste_01_en.md
new file mode 100644
index 000000000000..906550f0d7ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ajuste_01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from JAlexis)
+author: John Snow Labs
+name: bert_qa_ajuste_01
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `ajuste_01` is a English model originally trained by `JAlexis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ajuste_01_en_5.2.0_3.0_1699789090928.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ajuste_01_en_5.2.0_3.0_1699789090928.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ajuste_01","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ajuste_01","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ajuste_01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/JAlexis/ajuste_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ajuste_02_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ajuste_02_en.md
new file mode 100644
index 000000000000..e5f825c7f2aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ajuste_02_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from JAlexis)
+author: John Snow Labs
+name: bert_qa_ajuste_02
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `ajuste_02` is a English model originally trained by `JAlexis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ajuste_02_en_5.2.0_3.0_1699788063198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ajuste_02_en_5.2.0_3.0_1699788063198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ajuste_02","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ajuste_02","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ajuste_02|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/JAlexis/ajuste_02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_akihiro2_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_akihiro2_finetuned_squad_en.md
new file mode 100644
index 000000000000..a6e8766973b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_akihiro2_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Akihiro2)
+author: John Snow Labs
+name: bert_qa_akihiro2_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `Akihiro2`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_akihiro2_finetuned_squad_en_5.2.0_3.0_1699787030761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_akihiro2_finetuned_squad_en_5.2.0_3.0_1699787030761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_akihiro2_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_akihiro2_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_akihiro2_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Akihiro2/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_akshay1791_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_akshay1791_finetuned_squad_en.md
new file mode 100644
index 000000000000..e1caefe29675
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_akshay1791_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Akshay1791)
+author: John Snow Labs
+name: bert_qa_akshay1791_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `Akshay1791`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_akshay1791_finetuned_squad_en_5.2.0_3.0_1699788131498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_akshay1791_finetuned_squad_en_5.2.0_3.0_1699788131498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_akshay1791_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_akshay1791_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_akshay1791_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Akshay1791/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_alexander_learn_bert_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_alexander_learn_bert_finetuned_squad_en.md
new file mode 100644
index 000000000000..0c7d42093ae7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_alexander_learn_bert_finetuned_squad_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_alexander_learn_bert_finetuned_squad BertForQuestionAnswering from Alexander-Learn
+author: John Snow Labs
+name: bert_qa_alexander_learn_bert_finetuned_squad
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_alexander_learn_bert_finetuned_squad` is a English model originally trained by Alexander-Learn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_alexander_learn_bert_finetuned_squad_en_5.2.0_3.0_1699785091187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_alexander_learn_bert_finetuned_squad_en_5.2.0_3.0_1699785091187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_alexander_learn_bert_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/Alexander-Learn/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_amartyobanerjee_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_amartyobanerjee_finetuned_squad_en.md
new file mode 100644
index 000000000000..48d0a5d1036f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_amartyobanerjee_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from amartyobanerjee)
+author: John Snow Labs
+name: bert_qa_amartyobanerjee_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `amartyobanerjee`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_amartyobanerjee_finetuned_squad_en_5.2.0_3.0_1699787315808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_amartyobanerjee_finetuned_squad_en_5.2.0_3.0_1699787315808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_amartyobanerjee_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_amartyobanerjee_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_amartyobanerjee_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/amartyobanerjee/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ancient_chinese_base_ud_head_zh.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ancient_chinese_base_ud_head_zh.md
new file mode 100644
index 000000000000..b65fb685bb07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ancient_chinese_base_ud_head_zh.md
@@ -0,0 +1,96 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Base Cased model (from KoichiYasuoka)
+author: John Snow Labs
+name: bert_qa_ancient_chinese_base_ud_head
+date: 2023-11-12
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-ancient-chinese-base-ud-head` is a Chinese model originally trained by `KoichiYasuoka`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ancient_chinese_base_ud_head_zh_5.2.0_3.0_1699788240227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ancient_chinese_base_ud_head_zh_5.2.0_3.0_1699788240227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ancient_chinese_base_ud_head","zh")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ancient_chinese_base_ud_head","zh")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ancient_chinese_base_ud_head|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|430.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/KoichiYasuoka/bert-ancient-chinese-base-ud-head
+- https://github.com/UniversalDependencies/UD_Classical_Chinese-Kyoto
+- https://pypi.org/project/ufal.chu-liu-edmonds/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_andresestevez_bert_base_cased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_andresestevez_bert_base_cased_finetuned_squad_en.md
new file mode 100644
index 000000000000..4d642478a0ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_andresestevez_bert_base_cased_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from andresestevez)
+author: John Snow Labs
+name: bert_qa_andresestevez_bert_base_cased_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-finetuned-squad` is a English model orginally trained by `andresestevez`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_andresestevez_bert_base_cased_finetuned_squad_en_5.2.0_3.0_1699787555761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_andresestevez_bert_base_cased_finetuned_squad_en_5.2.0_3.0_1699787555761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_andresestevez_bert_base_cased_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_andresestevez_bert_base_cased_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_andresestevez_bert_base_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/andresestevez/bert-base-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_andresestevez_bert_finetuned_squad_accelerate_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_andresestevez_bert_finetuned_squad_accelerate_en.md
new file mode 100644
index 000000000000..5c3636dd447a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_andresestevez_bert_finetuned_squad_accelerate_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from andresestevez)
+author: John Snow Labs
+name: bert_qa_andresestevez_bert_finetuned_squad_accelerate
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-accelerate` is a English model orginally trained by `andresestevez`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_andresestevez_bert_finetuned_squad_accelerate_en_5.2.0_3.0_1699788526078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_andresestevez_bert_finetuned_squad_accelerate_en_5.2.0_3.0_1699788526078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_andresestevez_bert_finetuned_squad_accelerate","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_andresestevez_bert_finetuned_squad_accelerate","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_andresestevez").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_andresestevez_bert_finetuned_squad_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/andresestevez/bert-finetuned-squad-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ankitkupadhyay_bert_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ankitkupadhyay_bert_finetuned_squad_en.md
new file mode 100644
index 000000000000..c239103f34f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_ankitkupadhyay_bert_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ankitkupadhyay)
+author: John Snow Labs
+name: bert_qa_ankitkupadhyay_bert_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model orginally trained by `ankitkupadhyay`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ankitkupadhyay_bert_finetuned_squad_en_5.2.0_3.0_1699788452476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ankitkupadhyay_bert_finetuned_squad_en_5.2.0_3.0_1699788452476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_ankitkupadhyay_bert_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_ankitkupadhyay_bert_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_ankitkupadhyay").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ankitkupadhyay_bert_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ankitkupadhyay/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_arabert_finetuned_arcd_ar.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_arabert_finetuned_arcd_ar.md
new file mode 100644
index 000000000000..0883a18c309d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_arabert_finetuned_arcd_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic BertForQuestionAnswering Cased model (from Sh3ra)
+author: John Snow Labs
+name: bert_qa_arabert_finetuned_arcd
+date: 2023-11-12
+tags: [ar, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ar
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `arabert-finetuned-arcd` is a Arabic model originally trained by `Sh3ra`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_arabert_finetuned_arcd_ar_5.2.0_3.0_1699788857557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_arabert_finetuned_arcd_ar_5.2.0_3.0_1699788857557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_araspeedest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|504.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/aymanm419/araSpeedest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_augmented_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_augmented_en.md
new file mode 100644
index 000000000000..c1326dace3bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_augmented_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_augmented
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `augmented` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_augmented_en_5.2.0_3.0_1699788905018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_augmented_en_5.2.0_3.0_1699788905018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_augmented","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_augmented","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.augmented").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_augmented|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/augmented
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_augmented_squad_translated_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_augmented_squad_translated_en.md
new file mode 100644
index 000000000000..af5fb81fd7c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_augmented_squad_translated_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_augmented_squad_translated BertForQuestionAnswering from krinal214
+author: John Snow Labs
+name: bert_qa_augmented_squad_translated
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_augmented_squad_translated` is a English model originally trained by krinal214.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_augmented_squad_translated_en_5.2.0_3.0_1699789286206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_augmented_squad_translated_en_5.2.0_3.0_1699789286206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_augmented_squad_translated|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/krinal214/augmented_Squad_Translated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_autotrain_a3_1043835930_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_autotrain_a3_1043835930_en.md
new file mode 100644
index 000000000000..bbd476abc9ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_autotrain_a3_1043835930_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from deepesh0x)
+author: John Snow Labs
+name: bert_qa_autotrain_a3_1043835930
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `autotrain-a3-1043835930` is a English model originally trained by `deepesh0x`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_autotrain_a3_1043835930_en_5.2.0_3.0_1699788524206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_autotrain_a3_1043835930_en_5.2.0_3.0_1699788524206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_autotrain_a3_1043835930","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_autotrain_a3_1043835930","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_autotrain_a3_1043835930|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|408.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepesh0x/autotrain-a3-1043835930
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_autotrain_small_qna_1380352953_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_autotrain_small_qna_1380352953_en.md
new file mode 100644
index 000000000000..1c0af074fce0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_autotrain_small_qna_1380352953_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Small Cased model (from gaaush)
+author: John Snow Labs
+name: bert_qa_autotrain_small_qna_1380352953
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `autotrain-small-qna-1380352953` is a English model originally trained by `gaaush`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_autotrain_small_qna_1380352953_en_5.2.0_3.0_1699788070058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_autotrain_small_qna_1380352953_en_5.2.0_3.0_1699788070058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_autotrain_small_qna_1380352953","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_autotrain_small_qna_1380352953","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_autotrain_small_qna_1380352953|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/gaaush/autotrain-small-qna-1380352953
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_autotrain_xlm_fine_tune_1380052948_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_autotrain_xlm_fine_tune_1380052948_en.md
new file mode 100644
index 000000000000..d9a2df74d4a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_autotrain_xlm_fine_tune_1380052948_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from tushar23)
+author: John Snow Labs
+name: bert_qa_autotrain_xlm_fine_tune_1380052948
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `autotrain-xlm_bert_fine_tune-1380052948` is a English model originally trained by `tushar23`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_autotrain_xlm_fine_tune_1380052948_en_5.2.0_3.0_1699789795351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_autotrain_xlm_fine_tune_1380052948_en_5.2.0_3.0_1699789795351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_autotrain_xlm_fine_tune_1380052948","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_autotrain_xlm_fine_tune_1380052948","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_autotrain_xlm_fine_tune_1380052948|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tushar23/autotrain-xlm_bert_fine_tune-1380052948
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_baru98_base_cased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_baru98_base_cased_finetuned_squad_en.md
new file mode 100644
index 000000000000..e47d0cd8a0e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_baru98_base_cased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from baru98)
+author: John Snow Labs
+name: bert_qa_baru98_base_cased_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-finetuned-squad` is a English model originally trained by `baru98`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_baru98_base_cased_finetuned_squad_en_5.2.0_3.0_1699788813572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_baru98_base_cased_finetuned_squad_en_5.2.0_3.0_1699788813572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_baru98_base_cased_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_baru98_base_cased_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.cased_base_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_baru98_base_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/baru98/bert-base-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_1024_full_trivia_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_1024_full_trivia_en.md
new file mode 100644
index 000000000000..f2f5e1106622
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_1024_full_trivia_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from MrAnderson)
+author: John Snow Labs
+name: bert_qa_base_1024_full_trivia
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-1024-full-trivia` is a English model originally trained by `MrAnderson`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_1024_full_trivia_en_5.2.0_3.0_1699789105143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_1024_full_trivia_en_5.2.0_3.0_1699789105143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_1024_full_trivia","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_1024_full_trivia","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.trivia.base_1024d").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_1024_full_trivia|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|408.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MrAnderson/bert-base-1024-full-trivia
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_alian_uncased_squad_it.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_alian_uncased_squad_it.md
new file mode 100644
index 000000000000..5fb7af492ae9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_alian_uncased_squad_it.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: Italian bert_qa_base_alian_uncased_squad BertForQuestionAnswering from antoniocappiello
+author: John Snow Labs
+name: bert_qa_base_alian_uncased_squad
+date: 2023-11-12
+tags: [bert, it, open_source, question_answering, onnx]
+task: Question Answering
+language: it
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_base_alian_uncased_squad` is a Italian model originally trained by antoniocappiello.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_alian_uncased_squad_it_5.2.0_3.0_1699781375077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_alian_uncased_squad_it_5.2.0_3.0_1699781375077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_alian_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|it|
+|Size:|409.7 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/antoniocappiello/bert-base-italian-uncased-squad-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_finetuned_squad_r3f_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_finetuned_squad_r3f_en.md
new file mode 100644
index 000000000000..d814e86535bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_finetuned_squad_r3f_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_cased_finetuned_squad_r3f
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-finetuned-squad-r3f` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_cased_finetuned_squad_r3f_en_5.2.0_3.0_1699789462063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_cased_finetuned_squad_r3f_en_5.2.0_3.0_1699789462063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_cased_finetuned_squad_r3f","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_cased_finetuned_squad_r3f","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.cased_base_finetuned.by_anas_awadalla").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_cased_finetuned_squad_r3f|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-cased-finetuned-squad-r3f
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_finetuned_squad_v2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_finetuned_squad_v2_en.md
new file mode 100644
index 000000000000..d2db7bc891c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_finetuned_squad_v2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from victorlee071200)
+author: John Snow Labs
+name: bert_qa_base_cased_finetuned_squad_v2
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-finetuned-squad_v2` is a English model originally trained by `victorlee071200`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_cased_finetuned_squad_v2_en_5.2.0_3.0_1699789748848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_cased_finetuned_squad_v2_en_5.2.0_3.0_1699789748848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_cased_finetuned_squad_v2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_cased_finetuned_squad_v2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2.cased_v2_base_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_cased_finetuned_squad_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/victorlee071200/bert-base-cased-finetuned-squad_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_iuchatbot_ontologydts_berttokenizer_12april2022_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_iuchatbot_ontologydts_berttokenizer_12april2022_en.md
new file mode 100644
index 000000000000..e5b3ca5a2f9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_iuchatbot_ontologydts_berttokenizer_12april2022_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from nntadotzip)
+author: John Snow Labs
+name: bert_qa_base_cased_iuchatbot_ontologydts_berttokenizer_12april2022
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-IUChatbot-ontologyDts-bertBaseCased-bertTokenizer-12April2022` is a English model originally trained by `nntadotzip`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_cased_iuchatbot_ontologydts_berttokenizer_12april2022_en_5.2.0_3.0_1699789068115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_cased_iuchatbot_ontologydts_berttokenizer_12april2022_en_5.2.0_3.0_1699789068115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_cased_iuchatbot_ontologydts_berttokenizer_12april2022","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_cased_iuchatbot_ontologydts_berttokenizer_12april2022","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.cased_base").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_cased_iuchatbot_ontologydts_berttokenizer_12april2022|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/nntadotzip/bert-base-cased-IUChatbot-ontologyDts-bertBaseCased-bertTokenizer-12April2022
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_squad2_en.md
new file mode 100644
index 000000000000..002eec855c8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_cased_squad2_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_base_cased_squad2 BertForQuestionAnswering from Shobhank-iiitdwd
+author: John Snow Labs
+name: bert_qa_base_cased_squad2
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_base_cased_squad2` is a English model originally trained by Shobhank-iiitdwd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_cased_squad2_en_5.2.0_3.0_1699781323466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_cased_squad2_en_5.2.0_3.0_1699781323466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_cased_squad_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/batterydata/bert-base-cased-squad-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_chinese_finetuned_squad_zh.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_chinese_finetuned_squad_zh.md
new file mode 100644
index 000000000000..c47ed62eee26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_chinese_finetuned_squad_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Base Cased model (from jimmy880219)
+author: John Snow Labs
+name: bert_qa_base_chinese_finetuned_squad
+date: 2023-11-12
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-chinese-finetuned-squad` is a Chinese model originally trained by `jimmy880219`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_chinese_finetuned_squad_zh_5.2.0_3.0_1699791265983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_chinese_finetuned_squad_zh_5.2.0_3.0_1699791265983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_chinese_finetuned_squad","zh")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_chinese_finetuned_squad","zh")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_chinese_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|381.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jimmy880219/bert-base-chinese-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_chinese_zh.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_chinese_zh.md
new file mode 100644
index 000000000000..e8b6bac91ef5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_chinese_zh.md
@@ -0,0 +1,99 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Base Cased model (from ckiplab)
+author: John Snow Labs
+name: bert_qa_base_chinese
+date: 2023-11-12
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-chinese-qa` is a Chinese model originally trained by `ckiplab`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_chinese_zh_5.2.0_3.0_1699789991574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_chinese_zh_5.2.0_3.0_1699789991574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_chinese","zh")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_chinese","zh")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_chinese|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|381.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ckiplab/bert-base-chinese-qa
+- https://github.com/ckiplab/ckip-transformers
+- https://muyang.pro
+- https://ckip.iis.sinica.edu.tw
+- https://github.com/ckiplab/ckip-transformers
+- https://github.com/ckiplab/ckip-transformers
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_finetuned_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_finetuned_squad2_en.md
new file mode 100644
index 000000000000..b686610782d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_finetuned_squad2_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_base_finetuned_squad2 BertForQuestionAnswering from phiyodr
+author: John Snow Labs
+name: bert_qa_base_finetuned_squad2
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_base_finetuned_squad2` is a English model originally trained by phiyodr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_finetuned_squad2_en_5.2.0_3.0_1699781918539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_finetuned_squad2_en_5.2.0_3.0_1699781918539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_finetuned_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/phiyodr/bert-base-finetuned-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_for_question_answering_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_for_question_answering_en.md
new file mode 100644
index 000000000000..ce691323b96d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_for_question_answering_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from Zamachi)
+author: John Snow Labs
+name: bert_qa_base_for_question_answering
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-for-question-answering` is a English model originally trained by `Zamachi`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_for_question_answering_en_5.2.0_3.0_1699789672656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_for_question_answering_en_5.2.0_3.0_1699789672656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_for_question_answering","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_for_question_answering","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_for_question_answering|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Zamachi/bert-base-for-question-answering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_indonesian_tydiqa_id.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_indonesian_tydiqa_id.md
new file mode 100644
index 000000000000..72fcbb6111b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_indonesian_tydiqa_id.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Indonesian BertForQuestionAnswering Base Cased model (from cahya)
+author: John Snow Labs
+name: bert_qa_base_indonesian_tydiqa
+date: 2023-11-12
+tags: [id, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: id
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-indonesian-tydiqa` is a Indonesian model originally trained by `cahya`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_indonesian_tydiqa_id_5.2.0_3.0_1699789939394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_indonesian_tydiqa_id_5.2.0_3.0_1699789939394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_indonesian_tydiqa","id") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Siapa namaku?", "Nama saya Clara dan saya tinggal di Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_indonesian_tydiqa","id")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Siapa namaku?", "Nama saya Clara dan saya tinggal di Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("id.answer_question.bert.tydiqa.base").predict("""Siapa namaku?|||"Nama saya Clara dan saya tinggal di Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_indonesian_tydiqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|id|
+|Size:|412.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/cahya/bert-base-indonesian-tydiqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_japanese_wikipedia_ud_head_ja.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_japanese_wikipedia_ud_head_ja.md
new file mode 100644
index 000000000000..7cde7fbdc338
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_japanese_wikipedia_ud_head_ja.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: Japanese BertForQuestionAnswering Base model (from KoichiYasuoka)
+author: John Snow Labs
+name: bert_qa_base_japanese_wikipedia_ud_head
+date: 2023-11-12
+tags: [ja, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ja
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-japanese-wikipedia-ud-head` is a Japanese model originally trained by `KoichiYasuoka`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_japanese_wikipedia_ud_head_ja_5.2.0_3.0_1699789292031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_japanese_wikipedia_ud_head_ja_5.2.0_3.0_1699789292031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_japanese_wikipedia_ud_head|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ja|
+|Size:|338.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/KoichiYasuoka/bert-base-japanese-wikipedia-ud-head
+- https://github.com/UniversalDependencies/UD_Japanese-GSDLUW
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multi_mlqa_dev_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multi_mlqa_dev_en.md
new file mode 100644
index 000000000000..5c7a58aabaaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multi_mlqa_dev_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from roshnir)
+author: John Snow Labs
+name: bert_qa_base_multi_mlqa_dev
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multi-mlqa-dev-en` is a English model originally trained by `roshnir`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multi_mlqa_dev_en_5.2.0_3.0_1699791505023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multi_mlqa_dev_en_5.2.0_3.0_1699791505023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_multi_mlqa_dev","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_multi_mlqa_dev","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.mlqa.base").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multi_mlqa_dev|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|625.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/roshnir/bert-base-multi-mlqa-dev-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multi_uncased_xx.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multi_uncased_xx.md
new file mode 100644
index 000000000000..cee66ea81d1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multi_uncased_xx.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Base Uncased model (from roshnir)
+author: John Snow Labs
+name: bert_qa_base_multi_uncased
+date: 2023-11-12
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multi-uncased-en-hi` is a Multilingual model originally trained by `roshnir`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multi_uncased_xx_5.2.0_3.0_1699790863248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multi_uncased_xx_5.2.0_3.0_1699790863248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multilingual_cased_finetuned_polish_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|pl|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/henryk/bert-base-multilingual-cased-finetuned-polish-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squad_xx.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squad_xx.md
new file mode 100644
index 000000000000..e75bdb0df19d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squad_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Base Uncased model (from monakth)
+author: John Snow Labs
+name: bert_qa_base_multilingual_uncased_finetuned_squad
+date: 2023-11-12
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-uncased-finetuned-squad` is a Multilingual model originally trained by `monakth`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_finetuned_squad_xx_5.2.0_3.0_1699788565904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_finetuned_squad_xx_5.2.0_3.0_1699788565904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_finetuned_squad","xx")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_finetuned_squad","xx")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multilingual_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|625.5 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/monakth/bert-base-multilingual-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_full_xx.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_full_xx.md
new file mode 100644
index 000000000000..b4ef46a27062
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_full_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Base Uncased model (from khoanvm)
+author: John Snow Labs
+name: bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_full
+date: 2023-11-12
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-uncased-finetuned-squadv2-finetuned-vizalo-full` is a Multilingual model originally trained by `khoanvm`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_full_xx_5.2.0_3.0_1699788894223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_full_xx_5.2.0_3.0_1699788894223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_full","xx")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_full","xx")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_full|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|625.5 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/khoanvm/bert-base-multilingual-uncased-finetuned-squadv2-finetuned-vizalo-full
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_xx.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_xx.md
new file mode 100644
index 000000000000..fd32c6ace751
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Base Uncased model (from khoanvm)
+author: John Snow Labs
+name: bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo
+date: 2023-11-12
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-uncased-finetuned-squadv2-finetuned-vizalo` is a Multilingual model originally trained by `khoanvm`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_xx_5.2.0_3.0_1699789612662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo_xx_5.2.0_3.0_1699789612662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo","xx")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo","xx")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multilingual_uncased_finetuned_squadv2_finetuned_vizalo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|625.5 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/khoanvm/bert-base-multilingual-uncased-finetuned-squadv2-finetuned-vizalo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_mo_finetuned_squad_v2_xx.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_mo_finetuned_squad_v2_xx.md
new file mode 100644
index 000000000000..df8164ce9a3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_multilingual_uncased_mo_finetuned_squad_v2_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Base Uncased model (from monakth)
+author: John Snow Labs
+name: bert_qa_base_multilingual_uncased_mo_finetuned_squad_v2
+date: 2023-11-12
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-uncased-finetuned-squad-squadv2` is a Multilingual model originally trained by `monakth`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_mo_finetuned_squad_v2_xx_5.2.0_3.0_1699789914874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_mo_finetuned_squad_v2_xx_5.2.0_3.0_1699789914874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_mo_finetuned_squad_v2","xx")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_mo_finetuned_squad_v2","xx")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multilingual_uncased_mo_finetuned_squad_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|625.5 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/monakth/bert-base-multilingual-uncased-finetuned-squad-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_nnish_cased_squad2_fi.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_nnish_cased_squad2_fi.md
new file mode 100644
index 000000000000..99a54db2140e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_nnish_cased_squad2_fi.md
@@ -0,0 +1,96 @@
+---
+layout: model
+title: Finnish BertForQuestionAnswering Base Cased model (from ilmariky)
+author: John Snow Labs
+name: bert_qa_base_nnish_cased_squad2
+date: 2023-11-12
+tags: [fi, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fi
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-finnish-cased-squad2-fi` is a Finnish model originally trained by `ilmariky`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_nnish_cased_squad2_fi_5.2.0_3.0_1699791134037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_nnish_cased_squad2_fi_5.2.0_3.0_1699791134037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_nnish_cased_squad2","fi")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_nnish_cased_squad2","fi")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_nnish_cased_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fi|
+|Size:|464.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ilmariky/bert-base-finnish-cased-squad2-fi
+- https://github.com/google-research-datasets/tydiqa
+- https://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_pars_uncased_persian_fa.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_pars_uncased_persian_fa.md
new file mode 100644
index 000000000000..9a274580202d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_pars_uncased_persian_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mohsenfayyaz)
+author: John Snow Labs
+name: bert_qa_base_pars_uncased_persian
+date: 2023-11-12
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased_persian_qa` is a Persian model originally trained by `mohsenfayyaz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_persian_fa_5.2.0_3.0_1699789257443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_persian_fa_5.2.0_3.0_1699789257443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_persian","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_persian","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_pars_uncased_persian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mohsenfayyaz/bert-base-parsbert-uncased_persian_qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_pars_uncased_pquad_and_persian_fa.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_pars_uncased_pquad_and_persian_fa.md
new file mode 100644
index 000000000000..8100e0deef6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_pars_uncased_pquad_and_persian_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mohsenfayyaz)
+author: John Snow Labs
+name: bert_qa_base_pars_uncased_pquad_and_persian
+date: 2023-11-12
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased_pquad_and_persian_qa` is a Persian model originally trained by `mohsenfayyaz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_and_persian_fa_5.2.0_3.0_1699797094922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_and_persian_fa_5.2.0_3.0_1699797094922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad_and_persian","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad_and_persian","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_pars_uncased_pquad_and_persian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mohsenfayyaz/bert-base-parsbert-uncased_pquad_and_persian_qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_parsbert_uncased_finetuned_perqa_fa.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_parsbert_uncased_finetuned_perqa_fa.md
new file mode 100644
index 000000000000..c6fe0a806783
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_parsbert_uncased_finetuned_perqa_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from aminnaghavi)
+author: John Snow Labs
+name: bert_qa_base_parsbert_uncased_finetuned_perqa
+date: 2023-11-12
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased-finetuned-perQA` is a Persian model originally trained by `aminnaghavi`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_parsbert_uncased_finetuned_perqa_fa_5.2.0_3.0_1699804081424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_parsbert_uncased_finetuned_perqa_fa_5.2.0_3.0_1699804081424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_parsbert_uncased_finetuned_perqa","fa") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_parsbert_uncased_finetuned_perqa","fa")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_parsbert_uncased_finetuned_perqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aminnaghavi/bert-base-parsbert-uncased-finetuned-perQA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_portuguese_cased_finetuned_squad_v1_pt.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_portuguese_cased_finetuned_squad_v1_pt.md
new file mode 100644
index 000000000000..197af35d79e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_portuguese_cased_finetuned_squad_v1_pt.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: Portuguese bert_qa_base_portuguese_cased_finetuned_squad_v1 BertForQuestionAnswering from mrm8488
+author: John Snow Labs
+name: bert_qa_base_portuguese_cased_finetuned_squad_v1
+date: 2023-11-12
+tags: [bert, pt, open_source, question_answering, onnx]
+task: Question Answering
+language: pt
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_base_portuguese_cased_finetuned_squad_v1` is a Portuguese model originally trained by mrm8488.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_portuguese_cased_finetuned_squad_v1_pt_5.2.0_3.0_1699781369340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_portuguese_cased_finetuned_squad_v1_pt_5.2.0_3.0_1699781369340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_spanish_wwm_cased_finetuned_squad2_spanish_finetuned_s_c|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/MMG/bert-base-spanish-wwm-cased-finetuned-squad2-es-finetuned-sqac
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_spanish_wwm_uncased_finetuned_squad_es.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_spanish_wwm_uncased_finetuned_squad_es.md
new file mode 100644
index 000000000000..3cda5639f894
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_spanish_wwm_uncased_finetuned_squad_es.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Spanish BertForQuestionAnswering Base Uncased model (from stevemobs)
+author: John Snow Labs
+name: bert_qa_base_spanish_wwm_uncased_finetuned_squad
+date: 2023-11-12
+tags: [es, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-spanish-wwm-uncased-finetuned-squad_es` is a Spanish model originally trained by `stevemobs`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_spanish_wwm_uncased_finetuned_squad_es_5.2.0_3.0_1699798973637.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_spanish_wwm_uncased_finetuned_squad_es_5.2.0_3.0_1699798973637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_spanish_wwm_uncased_finetuned_squad","es") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_spanish_wwm_uncased_finetuned_squad","es")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.bert.squad_es.uncased_base_finetuned").predict("""¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_spanish_wwm_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|409.7 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/stevemobs/bert-base-spanish-wwm-uncased-finetuned-squad_es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_squad2_en.md
new file mode 100644
index 000000000000..77616c2788d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_squad2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from ModelTC)
+author: John Snow Labs
+name: bert_qa_base_squad2
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-squad2` is a English model originally trained by `ModelTC`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_squad2_en_5.2.0_3.0_1699800909449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_squad2_en_5.2.0_3.0_1699800909449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_squad2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_squad2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ModelTC/bert-base-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_squad_en.md
new file mode 100644
index 000000000000..d44d790a41e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from ModelTC)
+author: John Snow Labs
+name: bert_qa_base_squad
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-squad` is a English model originally trained by `ModelTC`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_squad_en_5.2.0_3.0_1699805632427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_squad_en_5.2.0_3.0_1699805632427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ModelTC/bert-base-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_squad_v2_portuguese_pt.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_squad_v2_portuguese_pt.md
new file mode 100644
index 000000000000..88be44dcfabc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_squad_v2_portuguese_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese BertForQuestionAnswering Base Cased model (from brianpaiva)
+author: John Snow Labs
+name: bert_qa_base_squad_v2_portuguese
+date: 2023-11-12
+tags: [pt, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: pt
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-squad-v2-portuguese` is a Portuguese model originally trained by `brianpaiva`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_squad_v2_portuguese_pt_5.2.0_3.0_1699789510332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_squad_v2_portuguese_pt_5.2.0_3.0_1699789510332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_squad_v2_portuguese","pt")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_squad_v2_portuguese","pt")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_squad_v2_portuguese|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|pt|
+|Size:|405.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/brianpaiva/bert-base-squad-v2-portuguese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_swedish_cased_finetuned_squad_sv.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_swedish_cased_finetuned_squad_sv.md
new file mode 100644
index 000000000000..e7d75d8b8aa9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_swedish_cased_finetuned_squad_sv.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Swedish BertForQuestionAnswering Base Cased model (from miwink)
+author: John Snow Labs
+name: bert_qa_base_swedish_cased_finetuned_squad
+date: 2023-11-12
+tags: [sv, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: sv
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-swedish-cased-finetuned-squad` is a Swedish model originally trained by `miwink`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_swedish_cased_finetuned_squad_sv_5.2.0_3.0_1699802912894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_swedish_cased_finetuned_squad_sv_5.2.0_3.0_1699802912894.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_swedish_cased_finetuned_squad","sv")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_swedish_cased_finetuned_squad","sv")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_swedish_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|sv|
+|Size:|465.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/miwink/bert-base-swedish-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_swedish_cased_squad_experimental_sv.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_swedish_cased_squad_experimental_sv.md
new file mode 100644
index 000000000000..4d552e409337
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_swedish_cased_squad_experimental_sv.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Swedish BertForQuestionAnswering Base Cased model (from KBLab)
+author: John Snow Labs
+name: bert_qa_base_swedish_cased_squad_experimental
+date: 2023-11-12
+tags: [sv, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: sv
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-swedish-cased-squad-experimental` is a Swedish model originally trained by `KBLab`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_swedish_cased_squad_experimental_sv_5.2.0_3.0_1699807628119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_swedish_cased_squad_experimental_sv_5.2.0_3.0_1699807628119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_swedish_cased_squad_experimental","sv") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Vad är mitt namn?", "Jag heter Clara och jag bor i Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_swedish_cased_squad_experimental","sv")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Vad är mitt namn?", "Jag heter Clara och jag bor i Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("sv.answer_question.bert.squad.cased_base.by_KBLab").predict("""Vad är mitt namn?|||"Jag heter Clara och jag bor i Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_swedish_cased_squad_experimental|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|sv|
+|Size:|465.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/KBLab/bert-base-swedish-cased-squad-experimental
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_swedish_squad2_sv.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_swedish_squad2_sv.md
new file mode 100644
index 000000000000..797608ead19d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_swedish_squad2_sv.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: Swedish bert_qa_base_swedish_squad2 BertForQuestionAnswering from susumu2357
+author: John Snow Labs
+name: bert_qa_base_swedish_squad2
+date: 2023-11-12
+tags: [bert, sv, open_source, question_answering, onnx]
+task: Question Answering
+language: sv
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_base_swedish_squad2` is a Swedish model originally trained by susumu2357.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_swedish_squad2_sv_5.2.0_3.0_1699781919044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_swedish_squad2_sv_5.2.0_3.0_1699781919044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_turkish_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|412.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/savasy/bert-base-turkish-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..86ea3c8c9173
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_0_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_0
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-0` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_0_en_5.2.0_3.0_1699797702107.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_0_en_5.2.0_3.0_1699797702107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_0","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_0","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_0_base_1024d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..a25cb5e061ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_10_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_10
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-10` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_10_en_5.2.0_3.0_1699790580658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_10_en_5.2.0_3.0_1699790580658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_10","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_10","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_10_base_1024d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..eb013da312dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_2
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_2_en_5.2.0_3.0_1699796153809.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_2_en_5.2.0_3.0_1699796153809.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_2_base_1024d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..3d83abaa06bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_6_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_6
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-6` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_6_en_5.2.0_3.0_1699799571644.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_6_en_5.2.0_3.0_1699799571644.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_6","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_6","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_6_base_1024d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..553d5fbe42c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_8_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_8
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-8` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_8_en_5.2.0_3.0_1699792540163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_8_en_5.2.0_3.0_1699792540163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_8","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_8","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_8_base_1024d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_1024_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..38649954a9d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_10_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_10
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-128-finetuned-squad-seed-10` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_10_en_5.2.0_3.0_1699812103122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_10_en_5.2.0_3.0_1699812103122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_10","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_10","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_10_base_128d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-128-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_42_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_42_en.md
new file mode 100644
index 000000000000..25d8c6240018
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_42_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_42
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-128-finetuned-squad-seed-42` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_42_en_5.2.0_3.0_1699804991277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_42_en_5.2.0_3.0_1699804991277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_42","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_42","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_42_base_128d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-128-finetuned-squad-seed-42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..d262d8caffe2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_4
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-128-finetuned-squad-seed-4` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_4_en_5.2.0_3.0_1699801625595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_4_en_5.2.0_3.0_1699801625595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_4_base_128d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-128-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..b5d08b0e6f1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_6_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_6
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-128-finetuned-squad-seed-6` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_6_en_5.2.0_3.0_1699815637334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_6_en_5.2.0_3.0_1699815637334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_6","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_6","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_6_base_128d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-128-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..cde9d5c14d3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_8_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_8
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-128-finetuned-squad-seed-8` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_8_en_5.2.0_3.0_1699800249353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_8_en_5.2.0_3.0_1699800249353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_8","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_8","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_8_base_128d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-128-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..e20489a378ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_0_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_0
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-16-finetuned-squad-seed-0` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_0_en_5.2.0_3.0_1699817675983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_0_en_5.2.0_3.0_1699817675983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_0","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_0","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_0_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-16-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..ffec2d16282a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_10_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_10
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-16-finetuned-squad-seed-10` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_10_en_5.2.0_3.0_1699802159274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_10_en_5.2.0_3.0_1699802159274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_10","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_10","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_10_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-16-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..af721a2e3556
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-16-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2_en_5.2.0_3.0_1699794852712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2_en_5.2.0_3.0_1699794852712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_2_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-16-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..74940063368b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_4
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-16-finetuned-squad-seed-4` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_4_en_5.2.0_3.0_1699797006561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_4_en_5.2.0_3.0_1699797006561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_4_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-16-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..7d7032a8a8e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_6_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_6
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-16-finetuned-squad-seed-6` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_6_en_5.2.0_3.0_1699798973643.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_6_en_5.2.0_3.0_1699798973643.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_6","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_6","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_6_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-16-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..6462fc67df2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_8_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_8
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-16-finetuned-squad-seed-8` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_8_en_5.2.0_3.0_1699819269765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_8_en_5.2.0_3.0_1699819269765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_8","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_8","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_8_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-16-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..722a34368ab8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_10_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_10
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-256-finetuned-squad-seed-10` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_10_en_5.2.0_3.0_1699806905048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_10_en_5.2.0_3.0_1699806905048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_10","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_10","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_10_base_256d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-256-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..6b3e8b52de17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_2
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-256-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_2_en_5.2.0_3.0_1699803627711.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_2_en_5.2.0_3.0_1699803627711.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_2_base_256d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-256-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..3686f064729b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_4
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-256-finetuned-squad-seed-4` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_4_en_5.2.0_3.0_1699821131222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_4_en_5.2.0_3.0_1699821131222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_4_base_256d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-256-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..4df67c0a0dcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_6_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_6
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-256-finetuned-squad-seed-6` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_6_en_5.2.0_3.0_1699822967928.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_6_en_5.2.0_3.0_1699822967928.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_6","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_6","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_6_base_256d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-256-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..7580d4e989c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_8_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_8
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-256-finetuned-squad-seed-8` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_8_en_5.2.0_3.0_1699808541247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_8_en_5.2.0_3.0_1699808541247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_8","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_8","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_8_base_256d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_256_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-256-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..ba48c2d299de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_10_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_10
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-32-finetuned-squad-seed-10` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_10_en_5.2.0_3.0_1699810325201.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_10_en_5.2.0_3.0_1699810325201.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_10","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_10","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_10_base_32d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-32-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..c17adeec7985
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_2
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-32-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_2_en_5.2.0_3.0_1699803627728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_2_en_5.2.0_3.0_1699803627728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_2_base_32d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-32-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..7678de92be3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_4
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-32-finetuned-squad-seed-4` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_4_en_5.2.0_3.0_1699824633822.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_4_en_5.2.0_3.0_1699824633822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_4_base_32d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-32-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..f4d8ad230e99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_6_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_6
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-32-finetuned-squad-seed-6` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_6_en_5.2.0_3.0_1699812114701.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_6_en_5.2.0_3.0_1699812114701.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_6","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_6","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_6_base_32d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-32-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..8bed06eae488
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_10_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_10
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-512-finetuned-squad-seed-10` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_10_en_5.2.0_3.0_1699814236059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_10_en_5.2.0_3.0_1699814236059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_10","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_10","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_10_base_512d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-512-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..dd696e0a86a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_2
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-512-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_2_en_5.2.0_3.0_1699805511614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_2_en_5.2.0_3.0_1699805511614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_2_base_512d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-512-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..d9c113acc570
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_4
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-512-finetuned-squad-seed-4` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_4_en_5.2.0_3.0_1699802944662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_4_en_5.2.0_3.0_1699802944662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_4_base_512d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-512-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..808635c14167
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_6_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_6
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-512-finetuned-squad-seed-6` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_6_en_5.2.0_3.0_1699826674380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_6_en_5.2.0_3.0_1699826674380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_6","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_6","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_6_base_512d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-512-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..15cb47e47c5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_8_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_8
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-512-finetuned-squad-seed-8` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_8_en_5.2.0_3.0_1699805501759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_8_en_5.2.0_3.0_1699805501759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_8","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_8","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_8_base_512d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_512_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-512-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..656dfcb1026e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_10_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_10
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-64-finetuned-squad-seed-10` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_10_en_5.2.0_3.0_1699828184256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_10_en_5.2.0_3.0_1699828184256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_10","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_10","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_10_base_64d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-64-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..21cfe8d71327
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_2
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-64-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_2_en_5.2.0_3.0_1699829742647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_2_en_5.2.0_3.0_1699829742647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_2_base_64d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-64-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_finetuned_news_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_finetuned_news_en.md
new file mode 100644
index 000000000000..b81aeb991753
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_finetuned_news_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_base_uncased_finetuned_news BertForQuestionAnswering from mirbostani
+author: John Snow Labs
+name: bert_qa_base_uncased_finetuned_news
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_base_uncased_finetuned_news` is a English model originally trained by mirbostani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_finetuned_news_en_5.2.0_3.0_1699782754816.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_finetuned_news_en_5.2.0_3.0_1699782754816.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_finetuned_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/mirbostani/bert-base-uncased-finetuned-newsqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_finetuned_squad_finetuned_trivia_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_finetuned_squad_finetuned_trivia_en.md
new file mode 100644
index 000000000000..eb260de13b14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_finetuned_squad_finetuned_trivia_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from FabianWillner)
+author: John Snow Labs
+name: bert_qa_base_uncased_finetuned_squad_finetuned_trivia
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-squad-finetuned-triviaqa` is a English model originally trained by `FabianWillner`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_finetuned_squad_finetuned_trivia_en_5.2.0_3.0_1699804899623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_finetuned_squad_finetuned_trivia_en_5.2.0_3.0_1699804899623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_finetuned_squad_finetuned_trivia","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_finetuned_squad_finetuned_trivia","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_finetuned_squad_finetuned_trivia|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/FabianWillner/bert-base-uncased-finetuned-squad-finetuned-triviaqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_finetuned_trivia_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_finetuned_trivia_finetuned_squad_en.md
new file mode 100644
index 000000000000..7a37538b9328
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_finetuned_trivia_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from FabianWillner)
+author: John Snow Labs
+name: bert_qa_base_uncased_finetuned_trivia_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-triviaqa-finetuned-squad` is a English model originally trained by `FabianWillner`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_finetuned_trivia_finetuned_squad_en_5.2.0_3.0_1699831353838.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_finetuned_trivia_finetuned_squad_en_5.2.0_3.0_1699831353838.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_finetuned_trivia_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_finetuned_trivia_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_finetuned_trivia_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/FabianWillner/bert-base-uncased-finetuned-triviaqa-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_pretrain_finetuned_coqa_fal_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_pretrain_finetuned_coqa_fal_en.md
new file mode 100644
index 000000000000..5e23489cf6b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_pretrain_finetuned_coqa_fal_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from alistvt)
+author: John Snow Labs
+name: bert_qa_base_uncased_pretrain_finetuned_coqa_fal
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-pretrain-finetuned-coqa-falt` is a English model originally trained by `alistvt`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_pretrain_finetuned_coqa_fal_en_5.2.0_3.0_1699833119214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_pretrain_finetuned_coqa_fal_en_5.2.0_3.0_1699833119214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_pretrain_finetuned_coqa_fal","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_pretrain_finetuned_coqa_fal","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.uncased_base_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_pretrain_finetuned_coqa_fal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/alistvt/bert-base-uncased-pretrain-finetuned-coqa-falt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_spanish_sign_language_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_spanish_sign_language_en.md
new file mode 100644
index 000000000000..1a07c465d364
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_spanish_sign_language_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_base_uncased_spanish_sign_language BertForQuestionAnswering from michaelrglass
+author: John Snow Labs
+name: bert_qa_base_uncased_spanish_sign_language
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_base_uncased_spanish_sign_language` is a English model originally trained by michaelrglass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_spanish_sign_language_en_5.2.0_3.0_1699815469233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_spanish_sign_language_en_5.2.0_3.0_1699815469233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_squad1.1_block_sparse_0.32_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|207.0 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/madlag/bert-base-uncased-squad1.1-block-sparse-0.32-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_squad1_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_squad1_en.md
new file mode 100644
index 000000000000..7f6295b278a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_squad1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from sguskin)
+author: John Snow Labs
+name: bert_qa_base_uncased_squad1
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-squad1` is a English model originally trained by `sguskin`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_squad1_en_5.2.0_3.0_1699806905051.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_squad1_en_5.2.0_3.0_1699806905051.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_squad1","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_squad1","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_squad1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sguskin/bert-base-uncased-squad1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_squad_v1.0_finetuned_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_squad_v1.0_finetuned_en.md
new file mode 100644
index 000000000000..79c238d175e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_squad_v1.0_finetuned_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from kamalkraj)
+author: John Snow Labs
+name: bert_qa_base_uncased_squad_v1.0_finetuned
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-squad-v1.0-finetuned` is a English model originally trained by `kamalkraj`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_squad_v1.0_finetuned_en_5.2.0_3.0_1699807969771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_squad_v1.0_finetuned_en_5.2.0_3.0_1699807969771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_squad_v1.0_finetuned","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_squad_v1.0_finetuned","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_base_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_squad_v1.0_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/kamalkraj/bert-base-uncased-squad-v1.0-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_squad_v1_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_squad_v1_en.md
new file mode 100644
index 000000000000..f46908af2041
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_base_uncased_squad_v1_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_base_uncased_squad_v1 BertForQuestionAnswering from batterydata
+author: John Snow Labs
+name: bert_qa_base_uncased_squad_v1
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_base_uncased_squad_v1` is a English model originally trained by batterydata.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_squad_v1_en_5.2.0_3.0_1699782199497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_squad_v1_en_5.2.0_3.0_1699782199497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_batterysci_uncased_squad_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|410.0 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/batterydata/batteryscibert-uncased-squad-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert001_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert001_en.md
new file mode 100644
index 000000000000..d0140713ba9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from JAlexis)
+author: John Snow Labs
+name: bert_qa_bert001
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert001` is a English model originally trained by `JAlexis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert001_en_5.2.0_3.0_1699819796932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert001_en_5.2.0_3.0_1699819796932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bert001","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bert001","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert001|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/JAlexis/bert001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert003_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert003_en.md
new file mode 100644
index 000000000000..a54b40704745
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert003_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from JAlexis)
+author: John Snow Labs
+name: bert_qa_bert003
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert003` is a English model originally trained by `JAlexis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert003_en_5.2.0_3.0_1699808541136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert003_en_5.2.0_3.0_1699808541136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bert003","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bert003","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert003|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/JAlexis/bert003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_1024_full_trivia_copied_embeddings_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_1024_full_trivia_copied_embeddings_en.md
new file mode 100644
index 000000000000..d19a1bfffe98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_1024_full_trivia_copied_embeddings_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from MrAnderson)
+author: John Snow Labs
+name: bert_qa_bert_base_1024_full_trivia_copied_embeddings
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-1024-full-trivia-copied-embeddings` is a English model orginally trained by `MrAnderson`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_1024_full_trivia_copied_embeddings_en_5.2.0_3.0_1699825506288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_1024_full_trivia_copied_embeddings_en_5.2.0_3.0_1699825506288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_1024_full_trivia_copied_embeddings","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_1024_full_trivia_copied_embeddings","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.trivia.bert.base_1024d").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_1024_full_trivia_copied_embeddings|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MrAnderson/bert-base-1024-full-trivia-copied-embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_4096_full_trivia_copied_embeddings_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_4096_full_trivia_copied_embeddings_en.md
new file mode 100644
index 000000000000..2fc545583ebf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_4096_full_trivia_copied_embeddings_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from MrAnderson)
+author: John Snow Labs
+name: bert_qa_bert_base_4096_full_trivia_copied_embeddings
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-4096-full-trivia-copied-embeddings` is a English model orginally trained by `MrAnderson`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_4096_full_trivia_copied_embeddings_en_5.2.0_3.0_1699812642173.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_4096_full_trivia_copied_embeddings_en_5.2.0_3.0_1699812642173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_4096_full_trivia_copied_embeddings","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_4096_full_trivia_copied_embeddings","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.trivia.bert.base_4096.by_MrAnderson").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_4096_full_trivia_copied_embeddings|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|417.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MrAnderson/bert-base-4096-full-trivia-copied-embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_512_full_trivia_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_512_full_trivia_en.md
new file mode 100644
index 000000000000..44c133a86777
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_512_full_trivia_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from MrAnderson)
+author: John Snow Labs
+name: bert_qa_bert_base_512_full_trivia
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-512-full-trivia` is a English model orginally trained by `MrAnderson`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_512_full_trivia_en_5.2.0_3.0_1699827497585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_512_full_trivia_en_5.2.0_3.0_1699827497585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_512_full_trivia","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_512_full_trivia","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.trivia.bert.base_512d").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_512_full_trivia|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MrAnderson/bert-base-512-full-trivia
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_cased_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_cased_chaii_en.md
new file mode 100644
index 000000000000..5b65349ebcdd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_cased_chaii_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_base_cased_chaii
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-chaii` is a English model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_cased_chaii_en_5.2.0_3.0_1699812120231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_cased_chaii_en_5.2.0_3.0_1699812120231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_cased_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_cased_chaii","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.bert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_cased_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-base-cased-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_cased_finetuned_squad_test_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_cased_finetuned_squad_test_en.md
new file mode 100644
index 000000000000..3c108cd1a3e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_cased_finetuned_squad_test_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ncduy)
+author: John Snow Labs
+name: bert_qa_bert_base_cased_finetuned_squad_test
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-finetuned-squad-test` is a English model orginally trained by `ncduy`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_cased_finetuned_squad_test_en_5.2.0_3.0_1699830895202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_cased_finetuned_squad_test_en_5.2.0_3.0_1699830895202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_cased_finetuned_squad_test","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_cased_finetuned_squad_test","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_cased.by_ncduy").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_cased_finetuned_squad_test|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ncduy/bert-base-cased-finetuned-squad-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_cased_iuchatbot_ontologydts_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_cased_iuchatbot_ontologydts_en.md
new file mode 100644
index 000000000000..5d478935df76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_cased_iuchatbot_ontologydts_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_bert_base_cased_iuchatbot_ontologydts BertForQuestionAnswering from nntadotzip
+author: John Snow Labs
+name: bert_qa_bert_base_cased_iuchatbot_ontologydts
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_bert_base_cased_iuchatbot_ontologydts` is a English model originally trained by nntadotzip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_cased_iuchatbot_ontologydts_en_5.2.0_3.0_1699829027066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_cased_iuchatbot_ontologydts_en_5.2.0_3.0_1699829027066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_persian_farsi_qa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.5 MB|
+
+## References
+
+https://huggingface.co/SajjadAyoubi/bert-base-fa-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_tar_es.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_tar_es.md
new file mode 100644
index 000000000000..b3493c3179d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_tar_es.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Castilian, Spanish BertForQuestionAnswering model (from CenIA)
+author: John Snow Labs
+name: bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_tar
+date: 2023-11-12
+tags: [open_source, question_answering, bert, es, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-spanish-wwm-cased-finetuned-qa-tar` is a Castilian, Spanish model orginally trained by `CenIA`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_tar_es_5.2.0_3.0_1699820076531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_tar_es_5.2.0_3.0_1699820076531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_tar","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_tar","es")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.bert.base_cased.by_CenIA").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_tar|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/CenIA/bert-base-spanish-wwm-cased-finetuned-qa-tar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_mlqa_es.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_mlqa_es.md
new file mode 100644
index 000000000000..1e3284189141
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_mlqa_es.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Castilian, Spanish BertForQuestionAnswering model (from CenIA)
+author: John Snow Labs
+name: bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_mlqa
+date: 2023-11-12
+tags: [open_source, question_answering, bert, es, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-spanish-wwm-uncased-finetuned-qa-mlqa` is a Castilian, Spanish model orginally trained by `CenIA`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_mlqa_es_5.2.0_3.0_1699817108555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_mlqa_es_5.2.0_3.0_1699817108555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_mlqa","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_mlqa","es")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.mlqa.bert.base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_mlqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.6 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/CenIA/bert-base-spanish-wwm-uncased-finetuned-qa-mlqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_sqac_es.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_sqac_es.md
new file mode 100644
index 000000000000..dbe0359ffd58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_sqac_es.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Castilian, Spanish BertForQuestionAnswering model (from CenIA)
+author: John Snow Labs
+name: bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_sqac
+date: 2023-11-12
+tags: [open_source, question_answering, bert, es, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-spanish-wwm-uncased-finetuned-qa-sqac` is a Castilian, Spanish model orginally trained by `CenIA`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_sqac_es_5.2.0_3.0_1699819125792.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_sqac_es_5.2.0_3.0_1699819125792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_sqac","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_sqac","es")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.sqac.bert.base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_sqac|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.7 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/CenIA/bert-base-spanish-wwm-uncased-finetuned-qa-sqac
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_tar_es.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_tar_es.md
new file mode 100644
index 000000000000..4631b19d15c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_tar_es.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Castilian, Spanish BertForQuestionAnswering model (from CenIA)
+author: John Snow Labs
+name: bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_tar
+date: 2023-11-12
+tags: [open_source, question_answering, bert, es, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-spanish-wwm-uncased-finetuned-qa-tar` is a Castilian, Spanish model orginally trained by `CenIA`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_tar_es_5.2.0_3.0_1699822047235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_tar_es_5.2.0_3.0_1699822047235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_tar","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_tar","es")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.bert.base_uncased.by_CenIA").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_spanish_wwm_uncased_finetuned_qa_tar|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.6 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/CenIA/bert-base-spanish-wwm-uncased-finetuned-qa-tar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_swedish_cased_squad_experimental_sv.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_swedish_cased_squad_experimental_sv.md
new file mode 100644
index 000000000000..75f991866031
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_swedish_cased_squad_experimental_sv.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Swedish BertForQuestionAnswering model (from KB)
+author: John Snow Labs
+name: bert_qa_bert_base_swedish_cased_squad_experimental
+date: 2023-11-12
+tags: [open_source, question_answering, bert, sv, onnx]
+task: Question Answering
+language: sv
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-swedish-cased-squad-experimental` is a Swedish model orginally trained by `KB`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_swedish_cased_squad_experimental_sv_5.2.0_3.0_1699819009756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_swedish_cased_squad_experimental_sv_5.2.0_3.0_1699819009756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_swedish_cased_squad_experimental","sv") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_swedish_cased_squad_experimental","sv")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("sv.answer_question.squad.bert.base_cased.by_KB").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_swedish_cased_squad_experimental|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|sv|
+|Size:|465.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/KB/bert-base-swedish-cased-squad-experimental
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3_tr.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3_tr.md
new file mode 100644
index 000000000000..ff2cffde5527
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3_tr.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering model (from husnu)
+author: John Snow Labs
+name: bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3
+date: 2023-11-12
+tags: [open_source, question_answering, bert, tr, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-turkish-cased-finetuned_lr-2e-05_epochs-3` is a Turkish model orginally trained by `husnu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3_tr_5.2.0_3.0_1699821252993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3_tr_5.2.0_3.0_1699821252993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3","tr") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3","tr")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("tr.answer_question.bert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|tr|
+|Size:|412.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/husnu/bert-base-turkish-cased-finetuned_lr-2e-05_epochs-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_1024_finetuned_squad_seed_42_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_1024_finetuned_squad_seed_42_en.md
new file mode 100644
index 000000000000..596257d0b91f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_1024_finetuned_squad_seed_42_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_few_shot_k_1024_finetuned_squad_seed_42
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-42` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_1024_finetuned_squad_seed_42_en_5.2.0_3.0_1699823850067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_1024_finetuned_squad_seed_42_en_5.2.0_3.0_1699823850067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_few_shot_k_1024_finetuned_squad_seed_42","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_few_shot_k_1024_finetuned_squad_seed_42","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased_1024d_seed_42").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_few_shot_k_1024_finetuned_squad_seed_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_128_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_128_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..4e676eb68949
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_128_finetuned_squad_seed_0_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_few_shot_k_128_finetuned_squad_seed_0
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-128-finetuned-squad-seed-0` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_128_finetuned_squad_seed_0_en_5.2.0_3.0_1699825506203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_128_finetuned_squad_seed_0_en_5.2.0_3.0_1699825506203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_few_shot_k_128_finetuned_squad_seed_0","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_few_shot_k_128_finetuned_squad_seed_0","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased_128d_seed_0").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_few_shot_k_128_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-128-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_16_finetuned_squad_seed_42_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_16_finetuned_squad_seed_42_en.md
new file mode 100644
index 000000000000..f569a38b50b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_16_finetuned_squad_seed_42_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_few_shot_k_16_finetuned_squad_seed_42
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-16-finetuned-squad-seed-42` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_16_finetuned_squad_seed_42_en_5.2.0_3.0_1699821131822.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_16_finetuned_squad_seed_42_en_5.2.0_3.0_1699821131822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_few_shot_k_16_finetuned_squad_seed_42","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_few_shot_k_16_finetuned_squad_seed_42","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased_seed_42").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_few_shot_k_16_finetuned_squad_seed_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-16-finetuned-squad-seed-42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_256_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_256_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..cf5aa4dc2d48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_256_finetuned_squad_seed_0_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_few_shot_k_256_finetuned_squad_seed_0
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-256-finetuned-squad-seed-0` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_256_finetuned_squad_seed_0_en_5.2.0_3.0_1699823144608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_256_finetuned_squad_seed_0_en_5.2.0_3.0_1699823144608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_few_shot_k_256_finetuned_squad_seed_0","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_few_shot_k_256_finetuned_squad_seed_0","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased_256d_seed_0").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_few_shot_k_256_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-256-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_32_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_32_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..96df84acf132
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_32_finetuned_squad_seed_0_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_few_shot_k_32_finetuned_squad_seed_0
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-32-finetuned-squad-seed-0` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_32_finetuned_squad_seed_0_en_5.2.0_3.0_1699823217399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_32_finetuned_squad_seed_0_en_5.2.0_3.0_1699823217399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_few_shot_k_32_finetuned_squad_seed_0","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_few_shot_k_32_finetuned_squad_seed_0","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased_32d_seed_0").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_few_shot_k_32_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-32-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_512_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_512_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..9967a251ac34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_512_finetuned_squad_seed_0_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_few_shot_k_512_finetuned_squad_seed_0
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-512-finetuned-squad-seed-0` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_512_finetuned_squad_seed_0_en_5.2.0_3.0_1699825076044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_512_finetuned_squad_seed_0_en_5.2.0_3.0_1699825076044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_few_shot_k_512_finetuned_squad_seed_0","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_few_shot_k_512_finetuned_squad_seed_0","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased_512d_seed_0").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_few_shot_k_512_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-512-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_64_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_64_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..38972f7e0ba7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_few_shot_k_64_finetuned_squad_seed_0_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_few_shot_k_64_finetuned_squad_seed_0
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-64-finetuned-squad-seed-0` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_64_finetuned_squad_seed_0_en_5.2.0_3.0_1699825076110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_few_shot_k_64_finetuned_squad_seed_0_en_5.2.0_3.0_1699825076110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_few_shot_k_64_finetuned_squad_seed_0","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_few_shot_k_64_finetuned_squad_seed_0","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased_64d_seed_0").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_few_shot_k_64_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-64-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_finetuned_infovqa_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_finetuned_infovqa_en.md
new file mode 100644
index 000000000000..4dad5b8b17c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_finetuned_infovqa_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from tiennvcs)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_finetuned_infovqa
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-infovqa` is a English model orginally trained by `tiennvcs`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_infovqa_en_5.2.0_3.0_1699827080467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_infovqa_en_5.2.0_3.0_1699827080467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_finetuned_infovqa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_finetuned_infovqa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.infovqa.base_uncased.by_tiennvcs").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_finetuned_infovqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tiennvcs/bert-base-uncased-finetuned-infovqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_finetuned_squad_v1_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_finetuned_squad_v1_en.md
new file mode 100644
index 000000000000..4ddec6968b31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_finetuned_squad_v1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from lewtun)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_finetuned_squad_v1
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-squad-v1` is a English model orginally trained by `lewtun`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_squad_v1_en_5.2.0_3.0_1699827083140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_squad_v1_en_5.2.0_3.0_1699827083140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_finetuned_squad_v1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_finetuned_squad_v1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased.by_lewtun").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_finetuned_squad_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/lewtun/bert-base-uncased-finetuned-squad-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_finetuned_vietnamese_infovqa_vi.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_finetuned_vietnamese_infovqa_vi.md
new file mode 100644
index 000000000000..a2bf597901bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_finetuned_vietnamese_infovqa_vi.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Vietnamese bert_qa_bert_base_uncased_finetuned_vietnamese_infovqa BertForQuestionAnswering from tiennvcs
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_finetuned_vietnamese_infovqa
+date: 2023-11-12
+tags: [bert, vi, open_source, question_answering, onnx]
+task: Question Answering
+language: vi
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_bert_base_uncased_finetuned_vietnamese_infovqa` is a Vietnamese model originally trained by tiennvcs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_vietnamese_infovqa_vi_5.2.0_3.0_1699827289415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_vietnamese_infovqa_vi_5.2.0_3.0_1699827289415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_finetuned_vietnamese_infovqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|vi|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/tiennvcs/bert-base-uncased-finetuned-vi-infovqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_qa_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_qa_squad2_en.md
new file mode 100644
index 000000000000..d16675dfb7dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_qa_squad2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from Vasanth)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_qa_squad2
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-qa-squad2` is a English model orginally trained by `Vasanth`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_qa_squad2_en_5.2.0_3.0_1699828845456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_qa_squad2_en_5.2.0_3.0_1699828845456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_qa_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_qa_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.base_uncased.by_Vasanth").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_qa_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Vasanth/bert-base-uncased-qa-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_squad1.1_pruned_x3.2_v2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_squad1.1_pruned_x3.2_v2_en.md
new file mode 100644
index 000000000000..a9aea21ec009
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_squad1.1_pruned_x3.2_v2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from madlag)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_squad1.1_pruned_x3.2_v2
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-squad1.1-pruned-x3.2-v2` is a English model orginally trained by `madlag`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_squad1.1_pruned_x3.2_v2_en_5.2.0_3.0_1699830948837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_squad1.1_pruned_x3.2_v2_en_5.2.0_3.0_1699830948837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_squad1.1_pruned_x3.2_v2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_squad1.1_pruned_x3.2_v2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased_v2").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_squad1.1_pruned_x3.2_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|171.9 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/madlag/bert-base-uncased-squad1.1-pruned-x3.2-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_squad_l3_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_squad_l3_en.md
new file mode 100644
index 000000000000..cf9dafe0f9b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_squad_l3_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_bert_base_uncased_squad_l3 BertForQuestionAnswering from howey
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_squad_l3
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_bert_base_uncased_squad_l3` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_squad_l3_en_5.2.0_3.0_1699828370740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_squad_l3_en_5.2.0_3.0_1699828370740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_squad_l3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|168.8 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/howey/bert_base_uncased_squad_L3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en.md
new file mode 100644
index 000000000000..35a29c2fa86d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_base_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en.md
@@ -0,0 +1,110 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from Intel)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_squadv1.1_sparse_80_1x4_block_pruneofa
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-squadv1.1-sparse-80-1x4-block-pruneofa` is a English model orginally trained by `Intel`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en_5.2.0_3.0_1699828847199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en_5.2.0_3.0_1699828847199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_squadv1.1_sparse_80_1x4_block_pruneofa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_squadv1.1_sparse_80_1x4_block_pruneofa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased.by_Intel").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_squadv1.1_sparse_80_1x4_block_pruneofa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|178.7 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Intel/bert-base-uncased-squadv1.1-sparse-80-1x4-block-pruneofa
+- https://arxiv.org/abs/2111.05754
+- https://github.com/IntelLabs/Model-Compression-Research-Package/tree/main/research/prune-once-for-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_chinese_finetuned_zh.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_chinese_finetuned_zh.md
new file mode 100644
index 000000000000..a82db84a5dac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_chinese_finetuned_zh.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering model (from jackh1995)
+author: John Snow Labs
+name: bert_qa_bert_chinese_finetuned
+date: 2023-11-12
+tags: [zh, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-chinese-finetuned` is a Chinese model orginally trained by `jackh1995`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_chinese_finetuned_zh_5.2.0_3.0_1699830895206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_chinese_finetuned_zh_5.2.0_3.0_1699830895206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_chinese_finetuned","zh") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_chinese_finetuned","zh")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("zh.answer_question.bert.by_jackh1995").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_chinese_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|380.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jackh1995/bert-chinese-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_en.md
new file mode 100644
index 000000000000..83dc2643f16a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from nlpunibo)
+author: John Snow Labs
+name: bert_qa_bert
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert` is a English model orginally trained by `nlpunibo`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_en_5.2.0_3.0_1699817957155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_en_5.2.0_3.0_1699817957155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_nlpunibo").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/nlpunibo/bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_finetuned_squad1_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_finetuned_squad1_en.md
new file mode 100644
index 000000000000..91a32cff15c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_finetuned_squad1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from Ghost1)
+author: John Snow Labs
+name: bert_qa_bert_finetuned_squad1
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad1` is a English model orginally trained by `Ghost1`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_squad1_en_5.2.0_3.0_1699829857657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_squad1_en_5.2.0_3.0_1699829857657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_finetuned_squad1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_finetuned_squad1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_Ghost1").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_finetuned_squad1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Ghost1/bert-finetuned-squad1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_finetuned_squad_accelerate_10epoch_transformerfrozen_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_finetuned_squad_accelerate_10epoch_transformerfrozen_en.md
new file mode 100644
index 000000000000..4cc26786e350
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_finetuned_squad_accelerate_10epoch_transformerfrozen_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from DaisyMak)
+author: John Snow Labs
+name: bert_qa_bert_finetuned_squad_accelerate_10epoch_transformerfrozen
+date: 2023-11-12
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-accelerate-10epoch_transformerfrozen` is a English model orginally trained by `DaisyMak`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_squad_accelerate_10epoch_transformerfrozen_en_5.2.0_3.0_1699831597359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_squad_accelerate_10epoch_transformerfrozen_en_5.2.0_3.0_1699831597359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_finetuned_squad_accelerate_10epoch_transformerfrozen","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_finetuned_squad_accelerate_10epoch_transformerfrozen","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_DaisyMak").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_finetuned_squad_accelerate_10epoch_transformerfrozen|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/DaisyMak/bert-finetuned-squad-accelerate-10epoch_transformerfrozen
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_ft_nepal_bhasa_newsqa_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_ft_nepal_bhasa_newsqa_en.md
new file mode 100644
index 000000000000..780bbfd266c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_bert_ft_nepal_bhasa_newsqa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_bert_ft_nepal_bhasa_newsqa BertForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: bert_qa_bert_ft_nepal_bhasa_newsqa
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_bert_ft_nepal_bhasa_newsqa` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_ft_nepal_bhasa_newsqa_en_5.2.0_3.0_1699810716617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_ft_nepal_bhasa_newsqa_en_5.2.0_3.0_1699810716617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_large_uncased_squadv1.1_sparse_90_unstructured|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|362.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/Intel/bert-large-uncased-squadv1.1-sparse-90-unstructured
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_large_uncased_whole_word_masking_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_large_uncased_whole_word_masking_finetuned_squad_en.md
new file mode 100644
index 000000000000..c7b49265f719
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_large_uncased_whole_word_masking_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Large Uncased model (from Jiqing)
+author: John Snow Labs
+name: bert_qa_large_uncased_whole_word_masking_finetuned_squad
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad` is a English model originally trained by `Jiqing`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_whole_word_masking_finetuned_squad_en_5.2.0_3.0_1699784867260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_whole_word_masking_finetuned_squad_en_5.2.0_3.0_1699784867260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_large_uncased_whole_word_masking_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_large_uncased_whole_word_masking_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_large_uncased_whole_word_masking_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_large_uncased_whole_word_masking_squad2_with_ner_conll2003_with_neg_with_repeat_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_large_uncased_whole_word_masking_squad2_with_ner_conll2003_with_neg_with_repeat_en.md
new file mode 100644
index 000000000000..54c28209bc59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_large_uncased_whole_word_masking_squad2_with_ner_conll2003_with_neg_with_repeat_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_large_uncased_whole_word_masking_squad2_with_ner_conll2003_with_neg_with_repeat BertForQuestionAnswering from andi611
+author: John Snow Labs
+name: bert_qa_large_uncased_whole_word_masking_squad2_with_ner_conll2003_with_neg_with_repeat
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_large_uncased_whole_word_masking_squad2_with_ner_conll2003_with_neg_with_repeat` is a English model originally trained by andi611.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_whole_word_masking_squad2_with_ner_conll2003_with_neg_with_repeat_en_5.2.0_3.0_1699786355324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_whole_word_masking_squad2_with_ner_conll2003_with_neg_with_repeat_en_5.2.0_3.0_1699786355324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_medium_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|154.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/mrm8488/bert-medium-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_mini_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_mini_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..969584bb713d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_mini_finetuned_squadv2_en.md
@@ -0,0 +1,102 @@
+---
+layout: model
+title: English BertForQuestionAnswering Mini Cased model (from M-FAC)
+author: John Snow Labs
+name: bert_qa_mini_finetuned_squadv2
+date: 2023-11-12
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-mini-finetuned-squadv2` is a English model originally trained by `M-FAC`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mini_finetuned_squadv2_en_5.2.0_3.0_1699785590314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mini_finetuned_squadv2_en_5.2.0_3.0_1699785590314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_mini_finetuned_squadv2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_mini_finetuned_squadv2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2.v2_mini_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mini_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|41.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/M-FAC/bert-mini-finetuned-squadv2
+- https://arxiv.org/pdf/2107.03356.pdf
+- https://github.com/IST-DASLab/M-FAC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_minilm_l12_h384_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_minilm_l12_h384_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..8ad7de3c888c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_minilm_l12_h384_uncased_finetuned_squad_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_minilm_l12_h384_uncased_finetuned_squad BertForQuestionAnswering from ncduy
+author: John Snow Labs
+name: bert_qa_minilm_l12_h384_uncased_finetuned_squad
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_minilm_l12_h384_uncased_finetuned_squad` is a English model originally trained by ncduy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_minilm_l12_h384_uncased_finetuned_squad_en_5.2.0_3.0_1699787061428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_minilm_l12_h384_uncased_finetuned_squad_en_5.2.0_3.0_1699787061428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_pruebabert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/JAlexis/PruebaBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_question_answering_for_argriculture_zh.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_question_answering_for_argriculture_zh.md
new file mode 100644
index 000000000000..95ad35d75735
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_question_answering_for_argriculture_zh.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Cased model (from HankyStyle)
+author: John Snow Labs
+name: bert_qa_question_answering_for_argriculture
+date: 2023-11-12
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `Question-Answering-for-Argriculture` is a Chinese model originally trained by `HankyStyle`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_question_answering_for_argriculture_zh_5.2.0_3.0_1699786850722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_question_answering_for_argriculture_zh_5.2.0_3.0_1699786850722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_question_answering_for_argriculture","zh")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_question_answering_for_argriculture","zh")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_question_answering_for_argriculture|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/HankyStyle/Question-Answering-for-Argriculture
+- https://nlpnchu.org/
+- https://demo.nlpnchu.org/
+- https://github.com/NCHU-NLP-Lab
+- https://paperswithcode.com/sota?task=Question+Answering&dataset=ArgricultureQA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-12-bert_qa_sci_squad_quac_en.md b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_sci_squad_quac_en.md
new file mode 100644
index 000000000000..ce72a9a9d72b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-12-bert_qa_sci_squad_quac_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_sci_squad_quac BertForQuestionAnswering from ixa-ehu
+author: John Snow Labs
+name: bert_qa_sci_squad_quac
+date: 2023-11-12
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_sci_squad_quac` is a English model originally trained by ixa-ehu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sci_squad_quac_en_5.2.0_3.0_1699787138676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sci_squad_quac_en_5.2.0_3.0_1699787138676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_trial_3_results|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/sunitha/Trial_3_Results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_base_uncased_squad_v2.0_finetuned_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_base_uncased_squad_v2.0_finetuned_en.md
new file mode 100644
index 000000000000..ac10d62206ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_base_uncased_squad_v2.0_finetuned_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from kamalkraj)
+author: John Snow Labs
+name: bert_qa_base_uncased_squad_v2.0_finetuned
+date: 2023-11-13
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-squad-v2.0-finetuned` is a English model originally trained by `kamalkraj`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_squad_v2.0_finetuned_en_5.2.0_3.0_1699835177400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_squad_v2.0_finetuned_en_5.2.0_3.0_1699835177400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_squad_v2.0_finetuned","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_squad_v2.0_finetuned","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2.uncased_v2_base_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_squad_v2.0_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/kamalkraj/bert-base-uncased-squad-v2.0-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_chinese_finetuned_squad_colab_zh.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_chinese_finetuned_squad_colab_zh.md
new file mode 100644
index 000000000000..073e4c76bff3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_chinese_finetuned_squad_colab_zh.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering model (from TingChenChang)
+author: John Snow Labs
+name: bert_qa_bert_base_chinese_finetuned_squad_colab
+date: 2023-11-13
+tags: [zh, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-chinese-finetuned-squad-colab` is a Chinese model orginally trained by `TingChenChang`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_chinese_finetuned_squad_colab_zh_5.2.0_3.0_1699843099568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_chinese_finetuned_squad_colab_zh_5.2.0_3.0_1699843099568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_chinese_finetuned_squad_colab","zh") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_chinese_finetuned_squad_colab","zh")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("zh.answer_question.squad.bert.base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_chinese_finetuned_squad_colab|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|381.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/TingChenChang/bert-base-chinese-finetuned-squad-colab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_squadv1_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_squadv1_en.md
new file mode 100644
index 000000000000..01b0d9a68959
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_squadv1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from vuiseng9)
+author: John Snow Labs
+name: bert_qa_bert_base_squadv1
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-squadv1` is a English model orginally trained by `vuiseng9`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_squadv1_en_5.2.0_3.0_1699845342258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_squadv1_en_5.2.0_3.0_1699845342258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_squadv1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_squadv1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base.by_vuiseng9").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vuiseng9/bert-base-squadv1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_finetuned_docvqa_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_finetuned_docvqa_en.md
new file mode 100644
index 000000000000..b241ff3f9321
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_finetuned_docvqa_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from tiennvcs)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_finetuned_docvqa
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-docvqa` is a English model orginally trained by `tiennvcs`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_docvqa_en_5.2.0_3.0_1699843186356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_docvqa_en_5.2.0_3.0_1699843186356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_finetuned_docvqa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_finetuned_docvqa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.docvqa.base_uncased.by_tiennvcs").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_finetuned_docvqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tiennvcs/bert-base-uncased-finetuned-docvqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_finetuned_duorc_bert_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_finetuned_duorc_bert_en.md
new file mode 100644
index 000000000000..9a45e68b7271
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_finetuned_duorc_bert_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from machine2049)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_finetuned_duorc_bert
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-duorc_bert` is a English model orginally trained by `machine2049`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_duorc_bert_en_5.2.0_3.0_1699845004120.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_duorc_bert_en_5.2.0_3.0_1699845004120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_finetuned_duorc_bert","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_finetuned_duorc_bert","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.base_uncased.by_machine2049").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_finetuned_duorc_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/machine2049/bert-base-uncased-finetuned-duorc_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_finetuned_squad_frozen_v2_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_finetuned_squad_frozen_v2_en.md
new file mode 100644
index 000000000000..117a7c814f72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_finetuned_squad_frozen_v2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ericRosello)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_finetuned_squad_frozen_v2
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-squad-frozen-v2` is a English model orginally trained by `ericRosello`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_squad_frozen_v2_en_5.2.0_3.0_1699846639592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_finetuned_squad_frozen_v2_en_5.2.0_3.0_1699846639592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_finetuned_squad_frozen_v2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_finetuned_squad_frozen_v2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased_v2.by_ericRosello").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_finetuned_squad_frozen_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ericRosello/bert-base-uncased-finetuned-squad-frozen-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_fiqa_flm_albanian_flit_sq.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_fiqa_flm_albanian_flit_sq.md
new file mode 100644
index 000000000000..6bc4f4358508
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_base_uncased_fiqa_flm_albanian_flit_sq.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Albanian bert_qa_bert_base_uncased_fiqa_flm_albanian_flit BertForQuestionAnswering from vanadhi
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_fiqa_flm_albanian_flit
+date: 2023-11-13
+tags: [bert, sq, open_source, question_answering, onnx]
+task: Question Answering
+language: sq
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_bert_base_uncased_fiqa_flm_albanian_flit` is a Albanian model originally trained by vanadhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_fiqa_flm_albanian_flit_sq_5.2.0_3.0_1699846216180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_fiqa_flm_albanian_flit_sq_5.2.0_3.0_1699846216180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_squad_l6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|248.7 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/howey/bert-base-uncased-squad-L6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_finetuned_squad_pytorch_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_finetuned_squad_pytorch_en.md
new file mode 100644
index 000000000000..168bebf95b37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_finetuned_squad_pytorch_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from stevemobs)
+author: John Snow Labs
+name: bert_qa_bert_finetuned_squad_pytorch
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-pytorch` is a English model orginally trained by `stevemobs`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_squad_pytorch_en_5.2.0_3.0_1699849827618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_squad_pytorch_en_5.2.0_3.0_1699849827618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_finetuned_squad_pytorch","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_finetuned_squad_pytorch","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_stevemobs").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_finetuned_squad_pytorch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/stevemobs/bert-finetuned-squad-pytorch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_medium_pretrained_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_medium_pretrained_finetuned_squad_en.md
new file mode 100644
index 000000000000..1b393e013bf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_medium_pretrained_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_medium_pretrained_finetuned_squad
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-medium-pretrained-finetuned-squad` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_medium_pretrained_finetuned_squad_en_5.2.0_3.0_1699853638961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_medium_pretrained_finetuned_squad_en_5.2.0_3.0_1699853638961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_medium_pretrained_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_medium_pretrained_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.medium_finetuned.by_anas-awadalla").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_medium_pretrained_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|154.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-medium-pretrained-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_medium_wrslb_finetuned_squadv1_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_medium_wrslb_finetuned_squadv1_en.md
new file mode 100644
index 000000000000..358f59dad1ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_medium_wrslb_finetuned_squadv1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_medium_wrslb_finetuned_squadv1
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-medium-wrslb-finetuned-squadv1` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_medium_wrslb_finetuned_squadv1_en_5.2.0_3.0_1699835262254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_medium_wrslb_finetuned_squadv1_en_5.2.0_3.0_1699835262254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_medium_wrslb_finetuned_squadv1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_medium_wrslb_finetuned_squadv1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.medium").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_medium_wrslb_finetuned_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|154.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-medium-wrslb-finetuned-squadv1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_mini_wrslb_finetuned_squadv1_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_mini_wrslb_finetuned_squadv1_en.md
new file mode 100644
index 000000000000..efefb55f11f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_mini_wrslb_finetuned_squadv1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_mini_wrslb_finetuned_squadv1
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-mini-wrslb-finetuned-squadv1` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_mini_wrslb_finetuned_squadv1_en_5.2.0_3.0_1699836970376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_mini_wrslb_finetuned_squadv1_en_5.2.0_3.0_1699836970376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_mini_wrslb_finetuned_squadv1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_mini_wrslb_finetuned_squadv1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_mini_wrslb_finetuned_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|41.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-mini-wrslb-finetuned-squadv1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_multi_cased_squad_swedish_marbogusz_sv.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_multi_cased_squad_swedish_marbogusz_sv.md
new file mode 100644
index 000000000000..d42754f1578f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_multi_cased_squad_swedish_marbogusz_sv.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Swedish bert_qa_bert_multi_cased_squad_swedish_marbogusz BertForQuestionAnswering from marbogusz
+author: John Snow Labs
+name: bert_qa_bert_multi_cased_squad_swedish_marbogusz
+date: 2023-11-13
+tags: [bert, sv, open_source, question_answering, onnx]
+task: Question Answering
+language: sv
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_bert_multi_cased_squad_swedish_marbogusz` is a Swedish model originally trained by marbogusz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_squad_swedish_marbogusz_sv_5.2.0_3.0_1699846129239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_squad_swedish_marbogusz_sv_5.2.0_3.0_1699846129239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_qa_vietnamese_nvkha|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|vi|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/nvkha/bert-qa-vi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_reader_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_reader_squad2_en.md
new file mode 100644
index 000000000000..54c342ecb40b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_reader_squad2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from pinecone)
+author: John Snow Labs
+name: bert_qa_bert_reader_squad2
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-reader-squad2` is a English model orginally trained by `pinecone`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_reader_squad2_en_5.2.0_3.0_1699847638974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_reader_squad2_en_5.2.0_3.0_1699847638974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_reader_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_reader_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.by_pinecone").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_reader_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/pinecone/bert-reader-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_2_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_2_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..e98a80cab564
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_2_finetuned_squadv2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_small_2_finetuned_squadv2
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-small-2-finetuned-squadv2` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_2_finetuned_squadv2_en_5.2.0_3.0_1699841053924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_2_finetuned_squadv2_en_5.2.0_3.0_1699841053924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_small_2_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_small_2_finetuned_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.small_v2.by_mrm8488").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_small_2_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|130.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-small-2-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_cord19_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_cord19_squad2_en.md
new file mode 100644
index 000000000000..f538e92ca34e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_cord19_squad2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from NeuML)
+author: John Snow Labs
+name: bert_qa_bert_small_cord19_squad2
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-small-cord19-squad2` is a English model orginally trained by `NeuML`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_cord19_squad2_en_5.2.0_3.0_1699842918116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_cord19_squad2_en_5.2.0_3.0_1699842918116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_small_cord19_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_small_cord19_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_cord19.bert.small").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_small_cord19_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|130.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/NeuML/bert-small-cord19-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_cord19qa_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_cord19qa_en.md
new file mode 100644
index 000000000000..c895bb6b4480
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_cord19qa_en.md
@@ -0,0 +1,110 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from NeuML)
+author: John Snow Labs
+name: bert_qa_bert_small_cord19qa
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-small-cord19qa` is a English model orginally trained by `NeuML`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_cord19qa_en_5.2.0_3.0_1699844663819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_cord19qa_en_5.2.0_3.0_1699844663819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_small_cord19qa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_small_cord19qa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.cord19.bert.small").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_small_cord19qa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|130.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/NeuML/bert-small-cord19qa
+- https://www.kaggle.com/davidmezzetti/cord19-qa?select=cord19-qa.json
+- https://www.semanticscholar.org/cord19
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_finetuned_squad_en.md
new file mode 100644
index 000000000000..389f93023595
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_small_finetuned_squad
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-small-finetuned-squad` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_finetuned_squad_en_5.2.0_3.0_1699842629949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_finetuned_squad_en_5.2.0_3.0_1699842629949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_small_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_small_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.small.by_anas-awadalla").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_small_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-small-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_pretrained_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_pretrained_finetuned_squad_en.md
new file mode 100644
index 000000000000..538e14306a15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_pretrained_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_small_pretrained_finetuned_squad
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-small-pretrained-finetuned-squad` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_pretrained_finetuned_squad_en_5.2.0_3.0_1699844207778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_pretrained_finetuned_squad_en_5.2.0_3.0_1699844207778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_small_pretrained_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_small_pretrained_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.small_finetuned.by_anas-awadalla").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_small_pretrained_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-small-pretrained-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_wrslb_finetuned_squadv1_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_wrslb_finetuned_squadv1_en.md
new file mode 100644
index 000000000000..baf78019034b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_small_wrslb_finetuned_squadv1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_small_wrslb_finetuned_squadv1
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-small-wrslb-finetuned-squadv1` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_wrslb_finetuned_squadv1_en_5.2.0_3.0_1699848647000.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_wrslb_finetuned_squadv1_en_5.2.0_3.0_1699848647000.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_small_wrslb_finetuned_squadv1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_small_wrslb_finetuned_squadv1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.small").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_small_wrslb_finetuned_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-small-wrslb-finetuned-squadv1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_tiny_3_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_tiny_3_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..97cd02ae1572
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_tiny_3_finetuned_squadv2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_tiny_3_finetuned_squadv2
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-tiny-3-finetuned-squadv2` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_3_finetuned_squadv2_en_5.2.0_3.0_1699845398939.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_3_finetuned_squadv2_en_5.2.0_3.0_1699845398939.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_tiny_3_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_tiny_3_finetuned_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.tiny_v3.by_mrm8488").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_tiny_3_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|21.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-tiny-3-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_tiny_4_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_tiny_4_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..459194cadd36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_tiny_4_finetuned_squadv2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_tiny_4_finetuned_squadv2
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-tiny-4-finetuned-squadv2` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_4_finetuned_squadv2_en_5.2.0_3.0_1699849909461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_4_finetuned_squadv2_en_5.2.0_3.0_1699849909461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_tiny_4_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_tiny_4_finetuned_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.tiny_v4.by_mrm8488").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_tiny_4_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|22.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-tiny-4-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_tiny_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_tiny_finetuned_squad_en.md
new file mode 100644
index 000000000000..30cc4e33314e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_tiny_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_tiny_finetuned_squad
+date: 2023-11-13
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-tiny-finetuned-squad` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_finetuned_squad_en_5.2.0_3.0_1699845403647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_finetuned_squad_en_5.2.0_3.0_1699845403647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_tiny_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_tiny_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.tiny").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_tiny_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-tiny-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_uncased_l_10_h_512_a_8_squad2_covid_qna_en.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_uncased_l_10_h_512_a_8_squad2_covid_qna_en.md
new file mode 100644
index 000000000000..bcd620520594
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bert_uncased_l_10_h_512_a_8_squad2_covid_qna_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_bert_uncased_l_10_h_512_a_8_squad2_covid_qna BertForQuestionAnswering from aodiniz
+author: John Snow Labs
+name: bert_qa_bert_uncased_l_10_h_512_a_8_squad2_covid_qna
+date: 2023-11-13
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_bert_uncased_l_10_h_512_a_8_squad2_covid_qna` is a English model originally trained by aodiniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_uncased_l_10_h_512_a_8_squad2_covid_qna_en_5.2.0_3.0_1699846606190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_uncased_l_10_h_512_a_8_squad2_covid_qna_en_5.2.0_3.0_1699846606190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_uncased_l_6_h_128_a_2_squad2_covid_qna|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|19.6 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/aodiniz/bert_uncased_L-6_H-128_A-2_squad2_covid-qna
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bespin_global_klue_bert_base_mrc_ko.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bespin_global_klue_bert_base_mrc_ko.md
new file mode 100644
index 000000000000..739202415476
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_bespin_global_klue_bert_base_mrc_ko.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering model (from bespin-global)
+author: John Snow Labs
+name: bert_qa_bespin_global_klue_bert_base_mrc
+date: 2023-11-13
+tags: [ko, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `klue-bert-base-mrc` is a Korean model orginally trained by `bespin-global`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bespin_global_klue_bert_base_mrc_ko_5.2.0_3.0_1699850011426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bespin_global_klue_bert_base_mrc_ko_5.2.0_3.0_1699850011426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bespin_global_klue_bert_base_mrc","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bespin_global_klue_bert_base_mrc","ko")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.klue.bert.base.by_bespin-global").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bespin_global_klue_bert_base_mrc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|412.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bespin-global/klue-bert-base-mrc
+- https://www.bespinglobal.com/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-13-bert_qa_beto_espanhol_squad2_es.md b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_beto_espanhol_squad2_es.md
new file mode 100644
index 000000000000..3f9ff460463f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-13-bert_qa_beto_espanhol_squad2_es.md
@@ -0,0 +1,104 @@
+---
+layout: model
+title: Spanish BertForQuestionAnswering Cased model (from Josue)
+author: John Snow Labs
+name: bert_qa_beto_espanhol_squad2
+date: 2023-11-13
+tags: [es, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `BETO-espanhol-Squad2` is a Spanish model originally trained by `Josue`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_beto_espanhol_squad2_es_5.2.0_3.0_1699851919323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_beto_espanhol_squad2_es_5.2.0_3.0_1699851919323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_beto_espanhol_squad2","es")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_beto_espanhol_squad2","es")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_beto_espanhol_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|409.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Josue/BETO-espanhol-Squad2
+- https://github.com/dccuchile/beto
+- https://github.com/ccasimiro88/TranslateAlignRetrieve
+- https://github.com/dccuchile/beto/blob/master/README.md
+- https://github.com/google-research/bert
+- https://github.com/josecannete/spanish-corpora
+- https://github.com/google-research/bert/blob/master/multilingual.md
+- https://github.com/ccasimiro88/TranslateAlignRetrieve
+- https://media.giphy.com/media/mCIaBpfN0LQcuzkA2F/giphy.gif
+- https://media.giphy.com/media/WT453aptcbCP7hxWTZ/giphy.gif
+- https://twitter.com/Josuehu_
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_multilingual_cased_finetuned_viquad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_multilingual_cased_finetuned_viquad_en.md
new file mode 100644
index 000000000000..b56f668a2dd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_multilingual_cased_finetuned_viquad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from Khanh)
+author: John Snow Labs
+name: bert_qa_base_multilingual_cased_finetuned_viquad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned-viquad` is a English model originally trained by `Khanh`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_cased_finetuned_viquad_en_5.2.0_3.0_1699993581067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_cased_finetuned_viquad_en_5.2.0_3.0_1699993581067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_cased_finetuned_viquad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_cased_finetuned_viquad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.cased_multilingual_base_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multilingual_cased_finetuned_viquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Khanh/bert-base-multilingual-cased-finetuned-viquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_multilingual_cased_finetuned_xx.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_multilingual_cased_finetuned_xx.md
new file mode 100644
index 000000000000..c68bccc8198d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_multilingual_cased_finetuned_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Base Cased model (from obokkkk)
+author: John Snow Labs
+name: bert_qa_base_multilingual_cased_finetuned
+date: 2023-11-14
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned` is a Multilingual model originally trained by `obokkkk`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_cased_finetuned_xx_5.2.0_3.0_1699993678387.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_cased_finetuned_xx_5.2.0_3.0_1699993678387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_cased_finetuned","xx")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_cased_finetuned","xx")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multilingual_cased_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/obokkkk/bert-base-multilingual-cased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_multilingual_uncased_finetuned_squadv2_xx.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_multilingual_uncased_finetuned_squadv2_xx.md
new file mode 100644
index 000000000000..f9b91f4ba9bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_multilingual_uncased_finetuned_squadv2_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Base Uncased model (from khoanvm)
+author: John Snow Labs
+name: bert_qa_base_multilingual_uncased_finetuned_squadv2
+date: 2023-11-14
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-uncased-finetuned-squadv2` is a Multilingual model originally trained by `khoanvm`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_finetuned_squadv2_xx_5.2.0_3.0_1699993920867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_finetuned_squadv2_xx_5.2.0_3.0_1699993920867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_finetuned_squadv2","xx")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_finetuned_squadv2","xx")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multilingual_uncased_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|625.5 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/khoanvm/bert-base-multilingual-uncased-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_nnish_cased_squad1_fi.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_nnish_cased_squad1_fi.md
new file mode 100644
index 000000000000..eaf190971bc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_nnish_cased_squad1_fi.md
@@ -0,0 +1,96 @@
+---
+layout: model
+title: Finnish BertForQuestionAnswering Base Cased model (from ilmariky)
+author: John Snow Labs
+name: bert_qa_base_nnish_cased_squad1
+date: 2023-11-14
+tags: [fi, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fi
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-finnish-cased-squad1-fi` is a Finnish model originally trained by `ilmariky`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_nnish_cased_squad1_fi_5.2.0_3.0_1699993974738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_nnish_cased_squad1_fi_5.2.0_3.0_1699993974738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_nnish_cased_squad1","fi")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_nnish_cased_squad1","fi")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_nnish_cased_squad1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fi|
+|Size:|464.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ilmariky/bert-base-finnish-cased-squad1-fi
+- https://github.com/google-research-datasets/tydiqa
+- https://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_parsquad_fa.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_parsquad_fa.md
new file mode 100644
index 000000000000..7e5cda9101c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_parsquad_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mohsenfayyaz)
+author: John Snow Labs
+name: bert_qa_base_pars_uncased_parsquad
+date: 2023-11-14
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased_parsquad` is a Persian model originally trained by `mohsenfayyaz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_parsquad_fa_5.2.0_3.0_1699994256254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_parsquad_fa_5.2.0_3.0_1699994256254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_parsquad","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_parsquad","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_pars_uncased_parsquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mohsenfayyaz/bert-base-parsbert-uncased_parsquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_pquad_1epoch_fa.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_pquad_1epoch_fa.md
new file mode 100644
index 000000000000..29890b6ff0ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_pquad_1epoch_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mohsenfayyaz)
+author: John Snow Labs
+name: bert_qa_base_pars_uncased_pquad_1epoch
+date: 2023-11-14
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased_pquad_1epoch` is a Persian model originally trained by `mohsenfayyaz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_1epoch_fa_5.2.0_3.0_1699994627595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_1epoch_fa_5.2.0_3.0_1699994627595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad_1epoch","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad_1epoch","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_pars_uncased_pquad_1epoch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mohsenfayyaz/bert-base-parsbert-uncased_pquad_1epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_pquad_fa.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_pquad_fa.md
new file mode 100644
index 000000000000..76e113873fca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_pquad_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mohsenfayyaz)
+author: John Snow Labs
+name: bert_qa_base_pars_uncased_pquad
+date: 2023-11-14
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased_pquad` is a Persian model originally trained by `mohsenfayyaz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_fa_5.2.0_3.0_1699993573583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_fa_5.2.0_3.0_1699993573583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_pars_uncased_pquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mohsenfayyaz/bert-base-parsbert-uncased_pquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_pquad_lr1e_5_fa.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_pquad_lr1e_5_fa.md
new file mode 100644
index 000000000000..acfc528f7652
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_pars_uncased_pquad_lr1e_5_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mohsenfayyaz)
+author: John Snow Labs
+name: bert_qa_base_pars_uncased_pquad_lr1e_5
+date: 2023-11-14
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased_pquad_lr1e-5` is a Persian model originally trained by `mohsenfayyaz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_lr1e_5_fa_5.2.0_3.0_1699994981140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_lr1e_5_fa_5.2.0_3.0_1699994981140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad_lr1e_5","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad_lr1e_5","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_pars_uncased_pquad_lr1e_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mohsenfayyaz/bert-base-parsbert-uncased_pquad_lr1e-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_parsbert_uncased_finetuned_squad_fa.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_parsbert_uncased_finetuned_squad_fa.md
new file mode 100644
index 000000000000..fed4852c1868
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_parsbert_uncased_finetuned_squad_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mhmsadegh)
+author: John Snow Labs
+name: bert_qa_base_parsbert_uncased_finetuned_squad
+date: 2023-11-14
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased-finetuned-squad` is a Persian model originally trained by `mhmsadegh`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_parsbert_uncased_finetuned_squad_fa_5.2.0_3.0_1699993442017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_parsbert_uncased_finetuned_squad_fa_5.2.0_3.0_1699993442017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_parsbert_uncased_finetuned_squad","fa") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_parsbert_uncased_finetuned_squad","fa")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_parsbert_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mhmsadegh/bert-base-parsbert-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1_tr.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1_tr.md
new file mode 100644
index 000000000000..0c55dcee49d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering Base Cased model (from husnu)
+author: John Snow Labs
+name: bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1
+date: 2023-11-14
+tags: [tr, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-1` is a Turkish model originally trained by `husnu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1_tr_5.2.0_3.0_1699995382989.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1_tr_5.2.0_3.0_1699995382989.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1","tr") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1","tr")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|688.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/husnu/bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3_tr.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3_tr.md
new file mode 100644
index 000000000000..876a42a77bb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering Base Cased model (from husnu)
+author: John Snow Labs
+name: bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3
+date: 2023-11-14
+tags: [tr, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-3` is a Turkish model originally trained by `husnu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3_tr_5.2.0_3.0_1699993798250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3_tr_5.2.0_3.0_1699993798250.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3","tr") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3","tr")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|688.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/husnu/bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..e2f65de0194d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-128-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2_en_5.2.0_3.0_1699995746222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2_en_5.2.0_3.0_1699995746222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_2_base_128d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-128-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..22a3950d375b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-32-finetuned-squad-seed-8` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8_en_5.2.0_3.0_1699993504295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8_en_5.2.0_3.0_1699993504295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_8_base_32d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-32-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..16961e4a5094
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-64-finetuned-squad-seed-4` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4_en_5.2.0_3.0_1699994169986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4_en_5.2.0_3.0_1699994169986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_4_base_64d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-64-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_pretrain_finetuned_coqa_falttened_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_pretrain_finetuned_coqa_falttened_en.md
new file mode 100644
index 000000000000..6d437c3d4dda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_base_uncased_pretrain_finetuned_coqa_falttened_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from alistvt)
+author: John Snow Labs
+name: bert_qa_base_uncased_pretrain_finetuned_coqa_falttened
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-pretrain-finetuned-coqa-falttened` is a English model originally trained by `alistvt`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_pretrain_finetuned_coqa_falttened_en_5.2.0_3.0_1699994432857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_pretrain_finetuned_coqa_falttened_en_5.2.0_3.0_1699994432857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_pretrain_finetuned_coqa_falttened","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_pretrain_finetuned_coqa_falttened","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.uncased_base_finetuned.by_alistvt").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_pretrain_finetuned_coqa_falttened|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/alistvt/bert-base-uncased-pretrain-finetuned-coqa-falttened
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bdickson_bert_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bdickson_bert_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..20958975177c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bdickson_bert_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from bdickson)
+author: John Snow Labs
+name: bert_qa_bdickson_bert_base_uncased_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-squad` is a English model orginally trained by `bdickson`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bdickson_bert_base_uncased_finetuned_squad_en_5.2.0_3.0_1699996011166.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bdickson_bert_base_uncased_finetuned_squad_en_5.2.0_3.0_1699996011166.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bdickson_bert_base_uncased_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bdickson_bert_base_uncased_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased.by_bdickson").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bdickson_bert_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bdickson/bert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_en.md
new file mode 100644
index 000000000000..449c217ecdfe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_bert_all
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-all` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_en_5.2.0_3.0_1699994404485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_en_5.2.0_3.0_1699994404485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_all","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_all","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.tydiqa.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_squad_all_translated_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_squad_all_translated_en.md
new file mode 100644
index 000000000000..63adf7243a19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_squad_all_translated_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_bert_all_squad_all_translated
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-all-squad_all_translated` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_all_translated_en_5.2.0_3.0_1699994792788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_all_translated_en_5.2.0_3.0_1699994792788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_all_squad_all_translated","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_all_squad_all_translated","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad_translated.bert.by_krinal214").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_all_squad_all_translated|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-all-squad_all_translated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_squad_ben_tel_context_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_squad_ben_tel_context_en.md
new file mode 100644
index 000000000000..a50f3b6f1bba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_squad_ben_tel_context_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_bert_all_squad_ben_tel_context
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-all-squad_ben_tel_context` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_ben_tel_context_en_5.2.0_3.0_1699993841524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_ben_tel_context_en_5.2.0_3.0_1699993841524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_all_squad_ben_tel_context","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_all_squad_ben_tel_context","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad_ben_tel.bert.by_krinal214").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_all_squad_ben_tel_context|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-all-squad_ben_tel_context
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_squad_que_translated_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_squad_que_translated_en.md
new file mode 100644
index 000000000000..e7d1a2b74fa5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_squad_que_translated_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_bert_all_squad_que_translated
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-all-squad_que_translated` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_que_translated_en_5.2.0_3.0_1699996407002.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_que_translated_en_5.2.0_3.0_1699996407002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_all_squad_que_translated","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_all_squad_que_translated","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad_translated.bert.que.by_krinal214").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_all_squad_que_translated|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-all-squad_que_translated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_translated_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_translated_en.md
new file mode 100644
index 000000000000..999ccb618f1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_all_translated_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_bert_all_translated
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-all-translated` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_translated_en_5.2.0_3.0_1699994248431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_translated_en_5.2.0_3.0_1699994248431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_all_translated","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_all_translated","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_krinal214").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_all_translated|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-all-translated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_2048_full_trivia_copied_embeddings_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_2048_full_trivia_copied_embeddings_en.md
new file mode 100644
index 000000000000..d59b5bc852b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_2048_full_trivia_copied_embeddings_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from MrAnderson)
+author: John Snow Labs
+name: bert_qa_bert_base_2048_full_trivia_copied_embeddings
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-2048-full-trivia-copied-embeddings` is a English model orginally trained by `MrAnderson`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_2048_full_trivia_copied_embeddings_en_5.2.0_3.0_1699996762251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_2048_full_trivia_copied_embeddings_en_5.2.0_3.0_1699996762251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_2048_full_trivia_copied_embeddings","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_2048_full_trivia_copied_embeddings","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.trivia.bert.base_2048.by_MrAnderson").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_2048_full_trivia_copied_embeddings|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|411.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MrAnderson/bert-base-2048-full-trivia-copied-embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_cased_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_cased_chaii_en.md
new file mode 100644
index 000000000000..f69cecb207c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_cased_chaii_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_base_cased_chaii
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-chaii` is a English model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_cased_chaii_en_5.2.0_3.0_1699994506880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_cased_chaii_en_5.2.0_3.0_1699994506880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_cased_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_cased_chaii","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.bert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_cased_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-base-cased-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_faquad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_faquad_en.md
new file mode 100644
index 000000000000..9074135cff3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_faquad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ricardo-filho)
+author: John Snow Labs
+name: bert_qa_bert_base_faquad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert_base_faquad` is a English model orginally trained by `ricardo-filho`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_faquad_en_5.2.0_3.0_1699995091550.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_faquad_en_5.2.0_3.0_1699995091550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_faquad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_faquad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_faquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ricardo-filho/bert_base_faquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_finetune_qa_th.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_finetune_qa_th.md
new file mode 100644
index 000000000000..cabb6bd23312
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_finetune_qa_th.md
@@ -0,0 +1,110 @@
+---
+layout: model
+title: Thai BertForQuestionAnswering model (from airesearch)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_cased_finetune_qa
+date: 2023-11-14
+tags: [th, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: th
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetune-qa` is a Thai model orginally trained by `airesearch`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetune_qa_th_5.2.0_3.0_1699994217748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetune_qa_th_5.2.0_3.0_1699994217748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_cased_finetune_qa","th") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_cased_finetune_qa","th")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("th.answer_question.bert.multilingual_base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_cased_finetune_qa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|th|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/airesearch/bert-base-multilingual-cased-finetune-qa
+- https://github.com/vistec-AI/thai2transformers/blob/dev/scripts/downstream/train_question_answering_lm_finetuning.py
+- https://wandb.ai/cstorm125/wangchanberta-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_finetuned_chaii_ta.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_finetuned_chaii_ta.md
new file mode 100644
index 000000000000..1c6019679741
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_finetuned_chaii_ta.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Tamil BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_cased_finetuned_chaii
+date: 2023-11-14
+tags: [open_source, question_answering, bert, ta, onnx]
+task: Question Answering
+language: ta
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned-chaii` is a Tamil model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetuned_chaii_ta_5.2.0_3.0_1699994790461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetuned_chaii_ta_5.2.0_3.0_1699994790461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_cased_finetuned_chaii","ta") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_cased_finetuned_chaii","ta")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ta.answer_question.chaii.bert.multilingual_base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_cased_finetuned_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ta|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-base-multilingual-cased-finetuned-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_finetuned_klue_ko.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_finetuned_klue_ko.md
new file mode 100644
index 000000000000..b1ff72947c31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_finetuned_klue_ko.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering model (from obokkkk)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_cased_finetuned_klue
+date: 2023-11-14
+tags: [open_source, question_answering, bert, ko, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned-klue` is a Korean model orginally trained by `obokkkk`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetuned_klue_ko_5.2.0_3.0_1699994852278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetuned_klue_ko_5.2.0_3.0_1699994852278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_cased_finetuned_klue","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_cased_finetuned_klue","ko")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.klue.bert.multilingual_base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_cased_finetuned_klue|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/obokkkk/bert-base-multilingual-cased-finetuned-klue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_korquad_ko.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_korquad_ko.md
new file mode 100644
index 000000000000..bb13de932e50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_korquad_ko.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering model (from sangrimlee)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_cased_korquad
+date: 2023-11-14
+tags: [open_source, question_answering, bert, ko, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-korquad` is a Korean model orginally trained by `sangrimlee`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_korquad_ko_5.2.0_3.0_1699995481370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_korquad_ko_5.2.0_3.0_1699995481370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_cased_korquad","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_cased_korquad","ko")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.korquad.bert.multilingual_base_cased.by_sangrimlee").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_cased_korquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sangrimlee/bert-base-multilingual-cased-korquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_korquad_v1_ko.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_korquad_v1_ko.md
new file mode 100644
index 000000000000..9218d44efb48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_cased_korquad_v1_ko.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering model (from eliza-dukim)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_cased_korquad_v1
+date: 2023-11-14
+tags: [open_source, question_answering, bert, ko, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased_korquad-v1` is a Korean model orginally trained by `eliza-dukim`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_korquad_v1_ko_5.2.0_3.0_1699995262571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_korquad_v1_ko_5.2.0_3.0_1699995262571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_cased_korquad_v1","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_cased_korquad_v1","ko")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.korquad.bert.multilingual_base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_cased_korquad_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/eliza-dukim/bert-base-multilingual-cased_korquad-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_xquad_xx.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_xquad_xx.md
new file mode 100644
index 000000000000..f5280bb4b4f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_multilingual_xquad_xx.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering model (from alon-albalak)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_xquad
+date: 2023-11-14
+tags: [open_source, question_answering, bert, xx, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-xquad` is a Multilingual model orginally trained by `alon-albalak`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_xquad_xx_5.2.0_3.0_1699995793907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_xquad_xx_5.2.0_3.0_1699995793907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_xquad","xx") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_xquad","xx")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("xx.answer_question.xquad.bert.multilingual_base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_xquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|625.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/alon-albalak/bert-base-multilingual-xquad
+- https://github.com/deepmind/xquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa_es.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa_es.md
new file mode 100644
index 000000000000..41c5f565dfc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa_es.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Castilian, Spanish BertForQuestionAnswering model (from CenIA)
+author: John Snow Labs
+name: bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa
+date: 2023-11-14
+tags: [open_source, question_answering, bert, es, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-spanish-wwm-cased-finetuned-qa-mlqa` is a Castilian, Spanish model orginally trained by `CenIA`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa_es_5.2.0_3.0_1699996044180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa_es_5.2.0_3.0_1699996044180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa","es")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.mlqa.bert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/CenIA/bert-base-spanish-wwm-cased-finetuned-qa-mlqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac_es.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac_es.md
new file mode 100644
index 000000000000..48e56746ef97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac_es.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Castilian, Spanish BertForQuestionAnswering model (from CenIA)
+author: John Snow Labs
+name: bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac
+date: 2023-11-14
+tags: [open_source, question_answering, bert, es, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-spanish-wwm-cased-finetuned-qa-sqac` is a Castilian, Spanish model orginally trained by `CenIA`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac_es_5.2.0_3.0_1699995110057.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac_es_5.2.0_3.0_1699995110057.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac","es")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.sqac.bert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/CenIA/bert-base-spanish-wwm-cased-finetuned-qa-sqac
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_uncased_coqa_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_uncased_coqa_en.md
new file mode 100644
index 000000000000..dbeabc2db443
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_uncased_coqa_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from peggyhuang)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_coqa
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-coqa` is a English model orginally trained by `peggyhuang`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_coqa_en_5.2.0_3.0_1699996350702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_coqa_en_5.2.0_3.0_1699996350702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_coqa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_coqa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_coqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/peggyhuang/bert-base-uncased-coqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_uncased_squad2_covid_qa_deepset_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_uncased_squad2_covid_qa_deepset_en.md
new file mode 100644
index 000000000000..d958ce216134
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_base_uncased_squad2_covid_qa_deepset_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from armageddon)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_squad2_covid_qa_deepset
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-squad2-covid-qa-deepset` is a English model orginally trained by `armageddon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_squad2_covid_qa_deepset_en_5.2.0_3.0_1699994554541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_squad2_covid_qa_deepset_en_5.2.0_3.0_1699994554541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_squad2_covid_qa_deepset","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_squad2_covid_qa_deepset","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_covid.bert.base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_squad2_covid_qa_deepset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/armageddon/bert-base-uncased-squad2-covid-qa-deepset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_finetuned_jackh1995_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_finetuned_jackh1995_en.md
new file mode 100644
index 000000000000..043ab6e556da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_finetuned_jackh1995_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from jackh1995)
+author: John Snow Labs
+name: bert_qa_bert_finetuned_jackh1995
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned` is a English model orginally trained by `jackh1995`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_jackh1995_en_5.2.0_3.0_1699995632485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_jackh1995_en_5.2.0_3.0_1699995632485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_finetuned_jackh1995","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_finetuned_jackh1995","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_jackh1995").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_finetuned_jackh1995|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|380.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jackh1995/bert-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_finetuned_lr2_e5_b16_ep2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_finetuned_lr2_e5_b16_ep2_en.md
new file mode 100644
index 000000000000..12aacdaac30b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_finetuned_lr2_e5_b16_ep2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from motiondew)
+author: John Snow Labs
+name: bert_qa_bert_finetuned_lr2_e5_b16_ep2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-lr2-e5-b16-ep2` is a English model orginally trained by `motiondew`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_lr2_e5_b16_ep2_en_5.2.0_3.0_1699995956287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_lr2_e5_b16_ep2_en_5.2.0_3.0_1699995956287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_finetuned_lr2_e5_b16_ep2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_finetuned_lr2_e5_b16_ep2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_motiondew").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_finetuned_lr2_e5_b16_ep2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/motiondew/bert-finetuned-lr2-e5-b16-ep2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_l_squadv1.1_sl256_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_l_squadv1.1_sl256_en.md
new file mode 100644
index 000000000000..eeb18e3d80a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_l_squadv1.1_sl256_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from vuiseng9)
+author: John Snow Labs
+name: bert_qa_bert_l_squadv1.1_sl256
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-l-squadv1.1-sl256` is a English model orginally trained by `vuiseng9`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_l_squadv1.1_sl256_en_5.2.0_3.0_1699996982091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_l_squadv1.1_sl256_en_5.2.0_3.0_1699996982091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_l_squadv1.1_sl256","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_l_squadv1.1_sl256","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.sl256.by_vuiseng9").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_l_squadv1.1_sl256|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vuiseng9/bert-l-squadv1.1-sl256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_l_squadv1.1_sl384_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_l_squadv1.1_sl384_en.md
new file mode 100644
index 000000000000..feacfdb5b152
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_l_squadv1.1_sl384_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from vuiseng9)
+author: John Snow Labs
+name: bert_qa_bert_l_squadv1.1_sl384
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-l-squadv1.1-sl384` is a English model orginally trained by `vuiseng9`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_l_squadv1.1_sl384_en_5.2.0_3.0_1699997522825.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_l_squadv1.1_sl384_en_5.2.0_3.0_1699997522825.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_l_squadv1.1_sl384","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_l_squadv1.1_sl384","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.sl384.by_vuiseng9").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_l_squadv1.1_sl384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vuiseng9/bert-l-squadv1.1-sl384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_faquad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_faquad_en.md
new file mode 100644
index 000000000000..7c5ce55a9f59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_faquad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ricardo-filho)
+author: John Snow Labs
+name: bert_qa_bert_large_faquad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert_large_faquad` is a English model orginally trained by `ricardo-filho`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_faquad_en_5.2.0_3.0_1699998050521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_faquad_en_5.2.0_3.0_1699998050521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_faquad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_faquad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.large.by_ricardo-filho").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_faquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ricardo-filho/bert_large_faquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_finetuned_docvqa_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_finetuned_docvqa_en.md
new file mode 100644
index 000000000000..6a367f41d3b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_finetuned_docvqa_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from tiennvcs)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_finetuned_docvqa
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-finetuned-docvqa` is a English model orginally trained by `tiennvcs`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_finetuned_docvqa_en_5.2.0_3.0_1699997434549.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_finetuned_docvqa_en_5.2.0_3.0_1699997434549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_finetuned_docvqa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_finetuned_docvqa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.large_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_finetuned_docvqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tiennvcs/bert-large-uncased-finetuned-docvqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_squad2_covid_qa_deepset_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_squad2_covid_qa_deepset_en.md
new file mode 100644
index 000000000000..cd87c59feb62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_squad2_covid_qa_deepset_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from armageddon)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_squad2_covid_qa_deepset
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-squad2-covid-qa-deepset` is a English model orginally trained by `armageddon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squad2_covid_qa_deepset_en_5.2.0_3.0_1699995085123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squad2_covid_qa_deepset_en_5.2.0_3.0_1699995085123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_squad2_covid_qa_deepset","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_squad2_covid_qa_deepset","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_covid.bert.large_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_squad2_covid_qa_deepset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/armageddon/bert-large-uncased-squad2-covid-qa-deepset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en.md
new file mode 100644
index 000000000000..8f8697f386be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en.md
@@ -0,0 +1,110 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from Intel)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-squadv1.1-sparse-80-1x4-block-pruneofa` is a English model orginally trained by `Intel`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en_5.2.0_3.0_1699995636644.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en_5.2.0_3.0_1699995636644.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.large_uncased_sparse_80_1x4_block_pruneofa.by_Intel").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|436.9 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Intel/bert-large-uncased-squadv1.1-sparse-80-1x4-block-pruneofa
+- https://arxiv.org/abs/2111.05754
+- https://github.com/IntelLabs/Model-Compression-Research-Package/tree/main/research/prune-once-for-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_squadv2_en.md
new file mode 100644
index 000000000000..53f27792a25f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_squadv2_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from madlag)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_squadv2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-squadv2` is a English model orginally trained by `madlag`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squadv2_en_5.2.0_3.0_1699996683751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squadv2_en_5.2.0_3.0_1699996683751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.large_uncased_v2.by_madlag").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/madlag/bert-large-uncased-squadv2
+- https://arxiv.org/pdf/1810.04805v2.pdf%5D
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_chaii_en.md
new file mode 100644
index 000000000000..385c8d449a59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_chaii_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_whole_word_masking_chaii
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-whole-word-masking-chaii` is a English model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_chaii_en_5.2.0_3.0_1699997266251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_chaii_en_5.2.0_3.0_1699997266251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_whole_word_masking_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_whole_word_masking_chaii","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.bert.large_uncased_uncased_whole_word_masking.by_SauravMaheshkar").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_whole_word_masking_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-large-uncased-whole-word-masking-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii_en.md
new file mode 100644
index 000000000000..31284903b34d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-whole-word-masking-finetuned-chaii` is a English model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii_en_5.2.0_3.0_1699997828295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii_en_5.2.0_3.0_1699997828295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.bert.large_uncased_uncased_whole_word_masking_finetuned.by_SauravMaheshkar").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-large-uncased-whole-word-masking-finetuned-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad_en.md
new file mode 100644
index 000000000000..d84c9dc8076f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from haddadalwi)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-islamic-squad` is a English model orginally trained by `haddadalwi`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad_en_5.2.0_3.0_1699997999939.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad_en_5.2.0_3.0_1699997999939.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.large_uncased.by_haddadalwi").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/haddadalwi/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-islamic-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..86d2df1efa56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from madlag)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-whole-word-masking-finetuned-squadv2` is a English model orginally trained by `madlag`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2_en_5.2.0_3.0_1699998620273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2_en_5.2.0_3.0_1699998620273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.large_uncased_whole_word_masking_v2.by_madlag").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/madlag/bert-large-uncased-whole-word-masking-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_squad2_en.md
new file mode 100644
index 000000000000..5162254c1c31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_large_uncased_whole_word_masking_squad2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from deepset)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_whole_word_masking_squad2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-whole-word-masking-squad2` is a English model orginally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_squad2_en_5.2.0_3.0_1699995681298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_squad2_en_5.2.0_3.0_1699995681298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_whole_word_masking_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_whole_word_masking_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.large_uncased.by_deepset").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_whole_word_masking_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepset/bert-large-uncased-whole-word-masking-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_medium_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_medium_finetuned_squad_en.md
new file mode 100644
index 000000000000..071a0739a79c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_medium_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_bert_medium_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-medium-finetuned-squad` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_medium_finetuned_squad_en_5.2.0_3.0_1699998837047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_medium_finetuned_squad_en_5.2.0_3.0_1699998837047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_medium_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_medium_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.medium.by_anas-awadalla").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_medium_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|154.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-medium-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_medium_squad2_distilled_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_medium_squad2_distilled_en.md
new file mode 100644
index 000000000000..d9e169cf8b4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_medium_squad2_distilled_en.md
@@ -0,0 +1,118 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from deepset)
+author: John Snow Labs
+name: bert_qa_bert_medium_squad2_distilled
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-medium-squad2-distilled` is a English model orginally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_medium_squad2_distilled_en_5.2.0_3.0_1699999003843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_medium_squad2_distilled_en_5.2.0_3.0_1699999003843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_medium_squad2_distilled","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_medium_squad2_distilled","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.distilled_medium").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_medium_squad2_distilled|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|154.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepset/bert-medium-squad2-distilled
+- https://github.com/deepset-ai/haystack/discussions
+- https://deepset.ai
+- https://twitter.com/deepset_ai
+- http://www.deepset.ai/jobs
+- https://haystack.deepset.ai/community/join
+- https://github.com/deepset-ai/haystack/
+- https://deepset.ai/german-bert
+- https://www.linkedin.com/company/deepset-ai/
+- https://github.com/deepset-ai/FARM
+- https://deepset.ai/germanquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_mini_5_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_mini_5_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..73375612864e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_mini_5_finetuned_squadv2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_mini_5_finetuned_squadv2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-mini-5-finetuned-squadv2` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_mini_5_finetuned_squadv2_en_5.2.0_3.0_1699999165366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_mini_5_finetuned_squadv2_en_5.2.0_3.0_1699999165366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_mini_5_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_mini_5_finetuned_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.base_v2_5.by_mrm8488").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_mini_5_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|65.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-mini-5-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finedtuned_xquad_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finedtuned_xquad_chaii_en.md
new file mode 100644
index 000000000000..cd404986d0e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finedtuned_xquad_chaii_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_multi_cased_finedtuned_xquad_chaii
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-multi-cased-finedtuned-xquad-chaii` is a English model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finedtuned_xquad_chaii_en_5.2.0_3.0_1699999525919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finedtuned_xquad_chaii_en_5.2.0_3.0_1699999525919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_multi_cased_finedtuned_xquad_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_multi_cased_finedtuned_xquad_chaii","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.xquad_chaii.bert.cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_multi_cased_finedtuned_xquad_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-multi-cased-finedtuned-xquad-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp_xx.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp_xx.md
new file mode 100644
index 000000000000..5fe774c07229
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp_xx.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp
+date: 2023-11-14
+tags: [te, en, open_source, question_answering, bert, xx, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-multi-cased-finedtuned-xquad-tydiqa-goldp` is a Multilingual model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp_xx_5.2.0_3.0_1699998394777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp_xx_5.2.0_3.0_1699998394777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp","xx") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp","xx")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("xx.answer_question.xquad_tydiqa.bert.cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-multi-cased-finedtuned-xquad-tydiqa-goldp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finetuned_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finetuned_chaii_en.md
new file mode 100644
index 000000000000..ddfe6dd24aa0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finetuned_chaii_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_multi_cased_finetuned_chaii
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-multi-cased-finetuned-chaii` is a English model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finetuned_chaii_en_5.2.0_3.0_1699998193227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finetuned_chaii_en_5.2.0_3.0_1699998193227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_multi_cased_finetuned_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_multi_cased_finetuned_chaii","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.bert.cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_multi_cased_finetuned_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-multi-cased-finetuned-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab_en.md
new file mode 100644
index 000000000000..c6cd3a8fca71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from TingChenChang)
+author: John Snow Labs
+name: bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-multi-cased-finetuned-xquadv1-finetuned-squad-colab` is a English model orginally trained by `TingChenChang`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab_en_5.2.0_3.0_1699998716394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab_en_5.2.0_3.0_1699998716394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.xquad_squad.bert.cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/TingChenChang/bert-multi-cased-finetuned-xquadv1-finetuned-squad-colab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_english_german_squad2_de.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_english_german_squad2_de.md
new file mode 100644
index 000000000000..3de3ec27be75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_english_german_squad2_de.md
@@ -0,0 +1,110 @@
+---
+layout: model
+title: German BertForQuestionAnswering model (from deutsche-telekom)
+author: John Snow Labs
+name: bert_qa_bert_multi_english_german_squad2
+date: 2023-11-14
+tags: [de, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-multi-english-german-squad2` is a German model orginally trained by `deutsche-telekom`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_english_german_squad2_de_5.2.0_3.0_1699996034487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_english_german_squad2_de_5.2.0_3.0_1699996034487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_multi_english_german_squad2","de") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_multi_english_german_squad2","de")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("de.answer_question.squadv2.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_multi_english_german_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|de|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deutsche-telekom/bert-multi-english-german-squad2
+- https://rajpurkar.github.io/SQuAD-explorer/
+- https://github.com/google-research/bert/blob/master/multilingual.md
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_uncased_finetuned_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_uncased_finetuned_chaii_en.md
new file mode 100644
index 000000000000..5127b5592c46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_multi_uncased_finetuned_chaii_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_multi_uncased_finetuned_chaii
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-multi-uncased-finetuned-chaii` is a English model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_uncased_finetuned_chaii_en_5.2.0_3.0_1699999874498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_uncased_finetuned_chaii_en_5.2.0_3.0_1699999874498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_multi_uncased_finetuned_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_multi_uncased_finetuned_chaii","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.bert.uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_multi_uncased_finetuned_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|625.5 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-multi-uncased-finetuned-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_qasper_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_qasper_en.md
new file mode 100644
index 000000000000..27f9234aa15a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_qasper_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from z-uo)
+author: John Snow Labs
+name: bert_qa_bert_qasper
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-qasper` is a English model orginally trained by `z-uo`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_qasper_en_5.2.0_3.0_1699998983862.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_qasper_en_5.2.0_3.0_1699998983862.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_qasper","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_qasper","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_z-uo").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_qasper|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/z-uo/bert-qasper
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_set_date_1_lr_2e_5_bosnian_32_ep_4_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_set_date_1_lr_2e_5_bosnian_32_ep_4_en.md
new file mode 100644
index 000000000000..e2c457e0877f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_set_date_1_lr_2e_5_bosnian_32_ep_4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_bert_set_date_1_lr_2e_5_bosnian_32_ep_4 BertForQuestionAnswering from motiondew
+author: John Snow Labs
+name: bert_qa_bert_set_date_1_lr_2e_5_bosnian_32_ep_4
+date: 2023-11-14
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_bert_set_date_1_lr_2e_5_bosnian_32_ep_4` is a English model originally trained by motiondew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_set_date_1_lr_2e_5_bosnian_32_ep_4_en_5.2.0_3.0_1699999176084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_set_date_1_lr_2e_5_bosnian_32_ep_4_en_5.2.0_3.0_1699999176084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_set_date_1_lr_2e_5_bosnian_32_ep_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/motiondew/bert-set_date_1-lr-2e-5-bs-32-ep-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_small_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_small_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..9687a398d315
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_small_finetuned_squadv2_en.md
@@ -0,0 +1,114 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_small_finetuned_squadv2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-small-finetuned-squadv2` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_finetuned_squadv2_en_5.2.0_3.0_1699999356346.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_small_finetuned_squadv2_en_5.2.0_3.0_1699999356346.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_small_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_small_finetuned_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.small.by_mrm8488").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_small_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|107.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-small-finetuned-squadv2
+- https://twitter.com/mrm8488
+- https://github.com/google-research
+- https://arxiv.org/abs/1908.08962
+- https://rajpurkar.github.io/SQuAD-explorer/
+- https://github.com/google-research/bert/
+- https://www.linkedin.com/in/manuel-romero-cs/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_tiny_2_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_tiny_2_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..c9bf6053ea08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_tiny_2_finetuned_squadv2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_tiny_2_finetuned_squadv2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-tiny-2-finetuned-squadv2` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_2_finetuned_squadv2_en_5.2.0_3.0_1700000353666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_2_finetuned_squadv2_en_5.2.0_3.0_1700000353666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_tiny_2_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_tiny_2_finetuned_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.tiny_v2.by_mrm8488").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_tiny_2_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|19.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-tiny-2-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_tiny_5_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_tiny_5_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..9bf06d89f7f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_tiny_5_finetuned_squadv2_en.md
@@ -0,0 +1,113 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_tiny_5_finetuned_squadv2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-tiny-5-finetuned-squadv2` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_5_finetuned_squadv2_en_5.2.0_3.0_1700000467523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_5_finetuned_squadv2_en_5.2.0_3.0_1700000467523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_tiny_5_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_tiny_5_finetuned_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.tiny_v5.by_mrm8488").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_tiny_5_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|24.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-tiny-5-finetuned-squadv2
+- https://twitter.com/mrm8488
+- https://github.com/google-research
+- https://arxiv.org/abs/1908.08962
+- https://rajpurkar.github.io/SQuAD-explorer/
+- https://www.linkedin.com/in/manuel-romero-cs/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_tiny_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_tiny_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..584719dfc599
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_tiny_finetuned_squadv2_en.md
@@ -0,0 +1,114 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_tiny_finetuned_squadv2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-tiny-finetuned-squadv2` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_finetuned_squadv2_en_5.2.0_3.0_1699999509086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_tiny_finetuned_squadv2_en_5.2.0_3.0_1699999509086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_tiny_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_tiny_finetuned_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.tiny_.by_mrm8488").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_tiny_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|16.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-tiny-finetuned-squadv2
+- https://twitter.com/mrm8488
+- https://github.com/google-research
+- https://arxiv.org/abs/1908.08962
+- https://rajpurkar.github.io/SQuAD-explorer/
+- https://github.com/google-research/bert/
+- https://www.linkedin.com/in/manuel-romero-cs/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_turkish_question_answering_tr.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_turkish_question_answering_tr.md
new file mode 100644
index 000000000000..2d7672c7085f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_turkish_question_answering_tr.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering model (from lserinol)
+author: John Snow Labs
+name: bert_qa_bert_turkish_question_answering
+date: 2023-11-14
+tags: [tr, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-turkish-question-answering` is a Turkish model orginally trained by `lserinol`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_turkish_question_answering_tr_5.2.0_3.0_1700000755160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_turkish_question_answering_tr_5.2.0_3.0_1700000755160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_turkish_question_answering","tr") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_turkish_question_answering","tr")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("tr.answer_question.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_turkish_question_answering|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|tr|
+|Size:|412.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/lserinol/bert-turkish-question-answering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_covid_qna_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_covid_qna_en.md
new file mode 100644
index 000000000000..1688aa879c9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_covid_qna_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_covid_qna BertForQuestionAnswering from aodiniz
+author: John Snow Labs
+name: bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_covid_qna
+date: 2023-11-14
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_covid_qna` is a English model originally trained by aodiniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_covid_qna_en_5.2.0_3.0_1699999706791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_covid_qna_en_5.2.0_3.0_1699999706791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_uncased_l_6_h_128_a_2_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|19.6 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/aodiniz/bert_uncased_L-6_H-128_A-2_squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertfast_01_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertfast_01_en.md
new file mode 100644
index 000000000000..28a6ea272588
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertfast_01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from JAlexis)
+author: John Snow Labs
+name: bert_qa_bertfast_01
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bertFast_01` is a English model originally trained by `JAlexis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bertfast_01_en_5.2.0_3.0_1699996341011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bertfast_01_en_5.2.0_3.0_1699996341011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bertfast_01","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bertfast_01","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bertfast_01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/JAlexis/bertFast_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertfast_02_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertfast_02_en.md
new file mode 100644
index 000000000000..56a21f14ef05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertfast_02_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from JAlexis)
+author: John Snow Labs
+name: bert_qa_bertfast_02
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bertFast_02` is a English model originally trained by `JAlexis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bertfast_02_en_5.2.0_3.0_1700001601061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bertfast_02_en_5.2.0_3.0_1700001601061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bertfast_02","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bertfast_02","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bertfast_02|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/JAlexis/bertFast_02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertimbau_squad1.1_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertimbau_squad1.1_en.md
new file mode 100644
index 000000000000..4dd526732b52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertimbau_squad1.1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from hendrixcosta)
+author: John Snow Labs
+name: bert_qa_bertimbau_squad1.1
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bertimbau-squad1.1` is a English model orginally trained by `hendrixcosta`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bertimbau_squad1.1_en_5.2.0_3.0_1699996902121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bertimbau_squad1.1_en_5.2.0_3.0_1699996902121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bertimbau_squad1.1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bertimbau_squad1.1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_hendrixcosta").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bertimbau_squad1.1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/hendrixcosta/bertimbau-squad1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertlargeabsa_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertlargeabsa_en.md
new file mode 100644
index 000000000000..66a3dc2c2b61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertlargeabsa_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Large Cased model (from LucasS)
+author: John Snow Labs
+name: bert_qa_bertlargeabsa
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bertLargeABSA` is a English model originally trained by `LucasS`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bertlargeabsa_en_5.2.0_3.0_1700001215917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bertlargeabsa_en_5.2.0_3.0_1700001215917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bertlargeabsa","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_bertlargeabsa","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.abs").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bertlargeabsa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/LucasS/bertLargeABSA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertserini_base_cmrc_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertserini_base_cmrc_en.md
new file mode 100644
index 000000000000..b2a481173560
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertserini_base_cmrc_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from rsvp-ai)
+author: John Snow Labs
+name: bert_qa_bertserini_base_cmrc
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bertserini-bert-base-cmrc` is a English model originally trained by `rsvp-ai`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bertserini_base_cmrc_en_5.2.0_3.0_1700001534997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bertserini_base_cmrc_en_5.2.0_3.0_1700001534997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bertserini_base_cmrc","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_bertserini_base_cmrc","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.base.serini.cmrc").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bertserini_base_cmrc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|381.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/rsvp-ai/bertserini-bert-base-cmrc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertserini_bert_base_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertserini_bert_base_squad_en.md
new file mode 100644
index 000000000000..e169dd1d1950
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertserini_bert_base_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from rsvp-ai)
+author: John Snow Labs
+name: bert_qa_bertserini_bert_base_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bertserini-bert-base-squad` is a English model orginally trained by `rsvp-ai`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bertserini_bert_base_squad_en_5.2.0_3.0_1700001867988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bertserini_bert_base_squad_en_5.2.0_3.0_1700001867988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bertserini_bert_base_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bertserini_bert_base_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base.by_rsvp-ai").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bertserini_bert_base_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/rsvp-ai/bertserini-bert-base-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertserini_bert_large_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertserini_bert_large_squad_en.md
new file mode 100644
index 000000000000..49321ec74764
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bertserini_bert_large_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from rsvp-ai)
+author: John Snow Labs
+name: bert_qa_bertserini_bert_large_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bertserini-bert-large-squad` is a English model orginally trained by `rsvp-ai`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bertserini_bert_large_squad_en_5.2.0_3.0_1699999112455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bertserini_bert_large_squad_en_5.2.0_3.0_1699999112455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bertserini_bert_large_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bertserini_bert_large_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.large.by_rsvp-ai").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bertserini_bert_large_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/rsvp-ai/bertserini-bert-large-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_beto_base_spanish_sqac_es.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_beto_base_spanish_sqac_es.md
new file mode 100644
index 000000000000..dc5bbe59d312
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_beto_base_spanish_sqac_es.md
@@ -0,0 +1,112 @@
+---
+layout: model
+title: Spanish BertForQuestionAnswering model (from IIC)
+author: John Snow Labs
+name: bert_qa_beto_base_spanish_sqac
+date: 2023-11-14
+tags: [es, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `beto-base-spanish-sqac` is a Spanish model orginally trained by `IIC`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_beto_base_spanish_sqac_es_5.2.0_3.0_1699997233869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_beto_base_spanish_sqac_es_5.2.0_3.0_1699997233869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_beto_base_spanish_sqac","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_beto_base_spanish_sqac","es")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.sqac.bert.base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_beto_base_spanish_sqac|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/IIC/beto-base-spanish-sqac
+- https://paperswithcode.com/sota?task=question-answering&dataset=PlanTL-GOB-ES%2FSQAC
+- https://arxiv.org/abs/2107.07253
+- https://github.com/dccuchile/beto
+- https://www.bsc.es/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_beto_base_spanish_squades2_es.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_beto_base_spanish_squades2_es.md
new file mode 100644
index 000000000000..a444147e984a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_beto_base_spanish_squades2_es.md
@@ -0,0 +1,96 @@
+---
+layout: model
+title: Spanish BertForQuestionAnswering Base Cased model (from inigopm)
+author: John Snow Labs
+name: bert_qa_beto_base_spanish_squades2
+date: 2023-11-14
+tags: [es, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `beto-base-spanish-squades2` is a Spanish model originally trained by `inigopm`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_beto_base_spanish_squades2_es_5.2.0_3.0_1700002133617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_beto_base_spanish_squades2_es_5.2.0_3.0_1700002133617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_beto_base_spanish_squades2","es")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_beto_base_spanish_squades2","es")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_beto_base_spanish_squades2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|409.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/inigopm/beto-base-spanish-squades2
+- https://github.com/josecannete/spanish-corpora
+- https://paperswithcode.com/sota?task=question-answering&dataset=squad_es+v2.0.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_en.md
new file mode 100644
index 000000000000..004d22705671
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from dmis-lab)
+author: John Snow Labs
+name: bert_qa_biobert_base_cased_v1.1_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biobert-base-cased-v1.1-squad` is a English model orginally trained by `dmis-lab`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_base_cased_v1.1_squad_en_5.2.0_3.0_1700001838261.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_base_cased_v1.1_squad_en_5.2.0_3.0_1700001838261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biobert_base_cased_v1.1_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biobert_base_cased_v1.1_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.biobert.base_cased.by_dmis-lab").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobert_base_cased_v1.1_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/dmis-lab/biobert-base-cased-v1.1-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_finetuned_biobert_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_finetuned_biobert_en.md
new file mode 100644
index 000000000000..c844456626a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_finetuned_biobert_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from juliusco)
+author: John Snow Labs
+name: bert_qa_biobert_base_cased_v1.1_squad_finetuned_biobert
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biobert-base-cased-v1.1-squad-finetuned-biobert` is a English model orginally trained by `juliusco`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_base_cased_v1.1_squad_finetuned_biobert_en_5.2.0_3.0_1700002123070.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_base_cased_v1.1_squad_finetuned_biobert_en_5.2.0_3.0_1700002123070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biobert_base_cased_v1.1_squad_finetuned_biobert","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biobert_base_cased_v1.1_squad_finetuned_biobert","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.biobert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobert_base_cased_v1.1_squad_finetuned_biobert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/juliusco/biobert-base-cased-v1.1-squad-finetuned-biobert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_finetuned_covbiobert_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_finetuned_covbiobert_en.md
new file mode 100644
index 000000000000..1afee3a54cc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_finetuned_covbiobert_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from juliusco)
+author: John Snow Labs
+name: bert_qa_biobert_base_cased_v1.1_squad_finetuned_covbiobert
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biobert-base-cased-v1.1-squad-finetuned-covbiobert` is a English model orginally trained by `juliusco`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_base_cased_v1.1_squad_finetuned_covbiobert_en_5.2.0_3.0_1699997515541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_base_cased_v1.1_squad_finetuned_covbiobert_en_5.2.0_3.0_1699997515541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biobert_base_cased_v1.1_squad_finetuned_covbiobert","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biobert_base_cased_v1.1_squad_finetuned_covbiobert","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.covid_biobert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobert_base_cased_v1.1_squad_finetuned_covbiobert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/juliusco/biobert-base-cased-v1.1-squad-finetuned-covbiobert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_finetuned_covdrobert_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_finetuned_covdrobert_en.md
new file mode 100644
index 000000000000..129803d50878
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_base_cased_v1.1_squad_finetuned_covdrobert_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from juliusco)
+author: John Snow Labs
+name: bert_qa_biobert_base_cased_v1.1_squad_finetuned_covdrobert
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biobert-base-cased-v1.1-squad-finetuned-covdrobert` is a English model orginally trained by `juliusco`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_base_cased_v1.1_squad_finetuned_covdrobert_en_5.2.0_3.0_1700002427396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_base_cased_v1.1_squad_finetuned_covdrobert_en_5.2.0_3.0_1700002427396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biobert_base_cased_v1.1_squad_finetuned_covdrobert","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biobert_base_cased_v1.1_squad_finetuned_covdrobert","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.covid_roberta.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobert_base_cased_v1.1_squad_finetuned_covdrobert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/juliusco/biobert-base-cased-v1.1-squad-finetuned-covdrobert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_bioasq_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_bioasq_en.md
new file mode 100644
index 000000000000..08ba3db02837
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_bioasq_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from gdario)
+author: John Snow Labs
+name: bert_qa_biobert_bioasq
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biobert_bioasq` is a English model orginally trained by `gdario`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_bioasq_en_5.2.0_3.0_1699999388451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_bioasq_en_5.2.0_3.0_1699999388451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biobert_bioasq","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biobert_bioasq","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.biobert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobert_bioasq|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/gdario/biobert_bioasq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_large_cased_v1.1_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_large_cased_v1.1_squad_en.md
new file mode 100644
index 000000000000..d1bbd37f4780
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_large_cased_v1.1_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Large Cased model (from dmis-lab)
+author: John Snow Labs
+name: bert_qa_biobert_large_cased_v1.1_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biobert-large-cased-v1.1-squad` is a English model originally trained by `dmis-lab`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_large_cased_v1.1_squad_en_5.2.0_3.0_1700002976804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_large_cased_v1.1_squad_en_5.2.0_3.0_1700002976804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biobert_large_cased_v1.1_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_biobert_large_cased_v1.1_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.biobert.squad.cased_large").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobert_large_cased_v1.1_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/dmis-lab/biobert-large-cased-v1.1-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_squad2_cased_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_squad2_cased_en.md
new file mode 100644
index 000000000000..86a6c7d606a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_squad2_cased_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from clagator)
+author: John Snow Labs
+name: bert_qa_biobert_squad2_cased
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biobert_squad2_cased` is a English model orginally trained by `clagator`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_squad2_cased_en_5.2.0_3.0_1699999675367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_squad2_cased_en_5.2.0_3.0_1699999675367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biobert_squad2_cased","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biobert_squad2_cased","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.biobert.cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobert_squad2_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/clagator/biobert_squad2_cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_squad2_cased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_squad2_cased_finetuned_squad_en.md
new file mode 100644
index 000000000000..b071e768823a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_squad2_cased_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ptnv-s)
+author: John Snow Labs
+name: bert_qa_biobert_squad2_cased_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biobert_squad2_cased-finetuned-squad` is a English model orginally trained by `ptnv-s`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_squad2_cased_finetuned_squad_en_5.2.0_3.0_1699997805522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_squad2_cased_finetuned_squad_en_5.2.0_3.0_1699997805522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biobert_squad2_cased_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biobert_squad2_cased_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.biobert.cased.by_ptnv-s").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobert_squad2_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ptnv-s/biobert_squad2_cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_v1.1_biomedicalquestionanswering_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_v1.1_biomedicalquestionanswering_en.md
new file mode 100644
index 000000000000..0e685c2866ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_v1.1_biomedicalquestionanswering_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Shushant)
+author: John Snow Labs
+name: bert_qa_biobert_v1.1_biomedicalquestionanswering
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biobert-v1.1-biomedicalQuestionAnswering` is a English model originally trained by `Shushant`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_v1.1_biomedicalquestionanswering_en_5.2.0_3.0_1699999913959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_v1.1_biomedicalquestionanswering_en_5.2.0_3.0_1699999913959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biobert_v1.1_biomedicalquestionanswering","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_biobert_v1.1_biomedicalquestionanswering","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.biobert.bio_medical.").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobert_v1.1_biomedicalquestionanswering|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Shushant/biobert-v1.1-biomedicalQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_v1.1_pubmed_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_v1.1_pubmed_finetuned_squad_en.md
new file mode 100644
index 000000000000..0d2b64fe6f65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_v1.1_pubmed_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from gerardozq)
+author: John Snow Labs
+name: bert_qa_biobert_v1.1_pubmed_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biobert_v1.1_pubmed-finetuned-squad` is a English model orginally trained by `gerardozq`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_v1.1_pubmed_finetuned_squad_en_5.2.0_3.0_1700002425889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_v1.1_pubmed_finetuned_squad_en_5.2.0_3.0_1700002425889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biobert_v1.1_pubmed_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biobert_v1.1_pubmed_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad_pubmed.biobert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobert_v1.1_pubmed_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/gerardozq/biobert_v1.1_pubmed-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_v1.1_pubmed_squad_v2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_v1.1_pubmed_squad_v2_en.md
new file mode 100644
index 000000000000..d8aa557873ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobert_v1.1_pubmed_squad_v2_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ktrapeznikov)
+author: John Snow Labs
+name: bert_qa_biobert_v1.1_pubmed_squad_v2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biobert_v1.1_pubmed_squad_v2` is a English model orginally trained by `ktrapeznikov`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_v1.1_pubmed_squad_v2_en_5.2.0_3.0_1700000208525.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobert_v1.1_pubmed_squad_v2_en_5.2.0_3.0_1700000208525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biobert_v1.1_pubmed_squad_v2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biobert_v1.1_pubmed_squad_v2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_pubmed.biobert.v2").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobert_v1.1_pubmed_squad_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ktrapeznikov/biobert_v1.1_pubmed_squad_v2
+- https://rajpurkar.github.io/SQuAD-explorer/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobertpt_squad_v1.1_portuguese_pt.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobertpt_squad_v1.1_portuguese_pt.md
new file mode 100644
index 000000000000..606c82766c64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biobertpt_squad_v1.1_portuguese_pt.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: Portuguese bert_qa_biobertpt_squad_v1.1_portuguese BertForQuestionAnswering from pucpr
+author: John Snow Labs
+name: bert_qa_biobertpt_squad_v1.1_portuguese
+date: 2023-11-14
+tags: [bert, pt, open_source, question_answering, onnx]
+task: Question Answering
+language: pt
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_biobertpt_squad_v1.1_portuguese` is a Portuguese model originally trained by pucpr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobertpt_squad_v1.1_portuguese_pt_5.2.0_3.0_1699996422588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobertpt_squad_v1.1_portuguese_pt_5.2.0_3.0_1699996422588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobertpt_squad_v1.1_portuguese|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|664.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/pucpr/bioBERTpt-squad-v1.1-portuguese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bioformer_cased_v1.0_squad1_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bioformer_cased_v1.0_squad1_en.md
new file mode 100644
index 000000000000..41912fbbc29c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bioformer_cased_v1.0_squad1_en.md
@@ -0,0 +1,110 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from bioformers)
+author: John Snow Labs
+name: bert_qa_bioformer_cased_v1.0_squad1
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bioformer-cased-v1.0-squad1` is a English model orginally trained by `bioformers`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bioformer_cased_v1.0_squad1_en_5.2.0_3.0_1700002661909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bioformer_cased_v1.0_squad1_en_5.2.0_3.0_1700002661909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bioformer_cased_v1.0_squad1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bioformer_cased_v1.0_squad1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bioformer.cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bioformer_cased_v1.0_squad1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|158.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bioformers/bioformer-cased-v1.0-squad1
+- https://rajpurkar.github.io/SQuAD-explorer
+- https://arxiv.org/pdf/1910.01108.pdf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biomedical_slot_filling_reader_base_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biomedical_slot_filling_reader_base_en.md
new file mode 100644
index 000000000000..ec6f3f518624
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biomedical_slot_filling_reader_base_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from healx)
+author: John Snow Labs
+name: bert_qa_biomedical_slot_filling_reader_base
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biomedical-slot-filling-reader-base` is a English model orginally trained by `healx`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biomedical_slot_filling_reader_base_en_5.2.0_3.0_1699996757432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biomedical_slot_filling_reader_base_en_5.2.0_3.0_1699996757432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biomedical_slot_filling_reader_base","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biomedical_slot_filling_reader_base","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bio_medical.bert.base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biomedical_slot_filling_reader_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/healx/biomedical-slot-filling-reader-base
+- https://arxiv.org/abs/2109.08564
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biomedical_slot_filling_reader_large_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biomedical_slot_filling_reader_large_en.md
new file mode 100644
index 000000000000..2a3adcbaa8e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_biomedical_slot_filling_reader_large_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from healx)
+author: John Snow Labs
+name: bert_qa_biomedical_slot_filling_reader_large
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biomedical-slot-filling-reader-large` is a English model orginally trained by `healx`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biomedical_slot_filling_reader_large_en_5.2.0_3.0_1700003224568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biomedical_slot_filling_reader_large_en_5.2.0_3.0_1700003224568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biomedical_slot_filling_reader_large","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biomedical_slot_filling_reader_large","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bio_medical.bert.large").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biomedical_slot_filling_reader_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/healx/biomedical-slot-filling-reader-large
+- https://arxiv.org/abs/2109.08564
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_braquad_bert_qna_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_braquad_bert_qna_en.md
new file mode 100644
index 000000000000..77dc455317b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_braquad_bert_qna_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from piEsposito)
+author: John Snow Labs
+name: bert_qa_braquad_bert_qna
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `braquad-bert-qna` is a English model orginally trained by `piEsposito`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_braquad_bert_qna_en_5.2.0_3.0_1700003224896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_braquad_bert_qna_en_5.2.0_3.0_1700003224896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_braquad_bert_qna","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_braquad_bert_qna","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_piEsposito").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_braquad_bert_qna|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/piEsposito/braquad-bert-qna
+- https://github.com/piEsposito/br-quad-2.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bsnmldb_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bsnmldb_finetuned_squad_en.md
new file mode 100644
index 000000000000..6c55472f5c6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_bsnmldb_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from bsnmldb)
+author: John Snow Labs
+name: bert_qa_bsnmldb_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `bsnmldb`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bsnmldb_finetuned_squad_en_5.2.0_3.0_1700000456714.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bsnmldb_finetuned_squad_en_5.2.0_3.0_1700000456714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bsnmldb_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bsnmldb_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bsnmldb_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bsnmldb/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_case_base_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_case_base_en.md
new file mode 100644
index 000000000000..049f19689290
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_case_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from srcocotero)
+author: John Snow Labs
+name: bert_qa_case_base
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-qa` is a English model originally trained by `srcocotero`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_case_base_en_5.2.0_3.0_1699998107954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_case_base_en_5.2.0_3.0_1699998107954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_case_base","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_case_base","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_case_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/srcocotero/bert-base-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_causal_qa_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_causal_qa_en.md
new file mode 100644
index 000000000000..1f012b02e0d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_causal_qa_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from manav)
+author: John Snow Labs
+name: bert_qa_causal_qa
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `causal_qa` is a English model orginally trained by `manav`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_causal_qa_en_5.2.0_3.0_1700003870784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_causal_qa_en_5.2.0_3.0_1700003870784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_causal_qa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_causal_qa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_manav").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_causal_qa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/manav/causal_qa
+- https://github.com/kstats/CausalQG
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cgt_roberta_wwm_ext_large_zh.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cgt_roberta_wwm_ext_large_zh.md
new file mode 100644
index 000000000000..302fb1563235
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cgt_roberta_wwm_ext_large_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Large Cased model (from cgt)
+author: John Snow Labs
+name: bert_qa_cgt_roberta_wwm_ext_large
+date: 2023-11-14
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `Roberta-wwm-ext-large-qa` is a Chinese model originally trained by `cgt`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_cgt_roberta_wwm_ext_large_zh_5.2.0_3.0_1699998636857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_cgt_roberta_wwm_ext_large_zh_5.2.0_3.0_1699998636857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_cgt_roberta_wwm_ext_large","zh")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_cgt_roberta_wwm_ext_large","zh")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_cgt_roberta_wwm_ext_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/cgt/Roberta-wwm-ext-large-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chemical_bert_uncased_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chemical_bert_uncased_squad2_en.md
new file mode 100644
index 000000000000..5e6c07eaf348
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chemical_bert_uncased_squad2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from recobo)
+author: John Snow Labs
+name: bert_qa_chemical_bert_uncased_squad2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `chemical-bert-uncased-squad2` is a English model orginally trained by `recobo`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_chemical_bert_uncased_squad2_en_5.2.0_3.0_1699998908659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_chemical_bert_uncased_squad2_en_5.2.0_3.0_1699998908659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_chemical_bert_uncased_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_chemical_bert_uncased_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_chemical.bert.uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_chemical_bert_uncased_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.7 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/recobo/chemical-bert-uncased-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pert_base_mrc_zh.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pert_base_mrc_zh.md
new file mode 100644
index 000000000000..274ffbf272f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pert_base_mrc_zh.md
@@ -0,0 +1,116 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering model (from hfl)
+author: John Snow Labs
+name: bert_qa_chinese_pert_base_mrc
+date: 2023-11-14
+tags: [zh, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `chinese-pert-base-mrc` is a Chinese model orginally trained by `hfl`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_pert_base_mrc_zh_5.2.0_3.0_1699997205949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_pert_base_mrc_zh_5.2.0_3.0_1699997205949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_chinese_pert_base_mrc","zh") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_chinese_pert_base_mrc","zh")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("zh.answer_question.bert.base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_chinese_pert_base_mrc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|381.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/hfl/chinese-pert-base-mrc
+- https://github.com/ymcui/PERT
+- https://github.com/ymcui/Chinese-ELECTRA
+- https://github.com/ymcui/Chinese-Minority-PLM
+- https://github.com/ymcui/HFL-Anthology
+- https://github.com/ymcui/Chinese-BERT-wwm
+- https://github.com/ymcui/Chinese-XLNet
+- https://github.com/airaria/TextBrewer
+- https://github.com/ymcui/MacBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pert_large_mrc_zh.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pert_large_mrc_zh.md
new file mode 100644
index 000000000000..0264946e070a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pert_large_mrc_zh.md
@@ -0,0 +1,116 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering model (from hfl)
+author: John Snow Labs
+name: bert_qa_chinese_pert_large_mrc
+date: 2023-11-14
+tags: [zh, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `chinese-pert-large-mrc` is a Chinese model orginally trained by `hfl`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_pert_large_mrc_zh_5.2.0_3.0_1700003780458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_pert_large_mrc_zh_5.2.0_3.0_1700003780458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_chinese_pert_large_mrc","zh") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_chinese_pert_large_mrc","zh")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("zh.answer_question.bert.large.by_hfl").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_chinese_pert_large_mrc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/hfl/chinese-pert-large-mrc
+- https://github.com/ymcui/PERT
+- https://github.com/ymcui/Chinese-ELECTRA
+- https://github.com/ymcui/Chinese-Minority-PLM
+- https://github.com/ymcui/HFL-Anthology
+- https://github.com/ymcui/Chinese-BERT-wwm
+- https://github.com/ymcui/Chinese-XLNet
+- https://github.com/airaria/TextBrewer
+- https://github.com/ymcui/MacBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pert_large_open_domain_mrc_zh.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pert_large_open_domain_mrc_zh.md
new file mode 100644
index 000000000000..e559db969f20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pert_large_open_domain_mrc_zh.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering model (from qalover)
+author: John Snow Labs
+name: bert_qa_chinese_pert_large_open_domain_mrc
+date: 2023-11-14
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `chinese-pert-large-open-domain-mrc` is a Chinese model originally trained by `qalover`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_pert_large_open_domain_mrc_zh_5.2.0_3.0_1699999466545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_pert_large_open_domain_mrc_zh_5.2.0_3.0_1699999466545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_chinese_pert_large_open_domain_mrc","zh") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["PUT YOUR QUESTION HERE", "PUT YOUR CONTEXT HERE"]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_chinese_pert_large_open_domain_mrc","zh")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("PUT YOUR QUESTION HERE", "PUT YOUR CONTEXT HERE").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("zh.answer_question.bert.large").predict("""PUT YOUR QUESTION HERE|||"PUT YOUR CONTEXT HERE""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_chinese_pert_large_open_domain_mrc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/qalover/chinese-pert-large-open-domain-mrc
+- https://github.com/dbiir/UER-py/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pretrain_mrc_macbert_large_zh.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pretrain_mrc_macbert_large_zh.md
new file mode 100644
index 000000000000..cf5f8096b68a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pretrain_mrc_macbert_large_zh.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering model (from luhua)
+author: John Snow Labs
+name: bert_qa_chinese_pretrain_mrc_macbert_large
+date: 2023-11-14
+tags: [zh, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `chinese_pretrain_mrc_macbert_large` is a Chinese model orginally trained by `luhua`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_pretrain_mrc_macbert_large_zh_5.2.0_3.0_1700004370480.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_pretrain_mrc_macbert_large_zh_5.2.0_3.0_1700004370480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_chinese_pretrain_mrc_macbert_large","zh") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_chinese_pretrain_mrc_macbert_large","zh")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("zh.answer_question.mac_bert.large").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_chinese_pretrain_mrc_macbert_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/luhua/chinese_pretrain_mrc_macbert_large
+- https://github.com/basketballandlearn/MRC_Competition_Dureader
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pretrain_mrc_roberta_wwm_ext_large_zh.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pretrain_mrc_roberta_wwm_ext_large_zh.md
new file mode 100644
index 000000000000..183560d6b09e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_pretrain_mrc_roberta_wwm_ext_large_zh.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering model (from luhua)
+author: John Snow Labs
+name: bert_qa_chinese_pretrain_mrc_roberta_wwm_ext_large
+date: 2023-11-14
+tags: [zh, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `chinese_pretrain_mrc_roberta_wwm_ext_large` is a Chinese model orginally trained by `luhua`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_pretrain_mrc_roberta_wwm_ext_large_zh_5.2.0_3.0_1700000001080.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_pretrain_mrc_roberta_wwm_ext_large_zh_5.2.0_3.0_1700000001080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_chinese_pretrain_mrc_roberta_wwm_ext_large","zh") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_chinese_pretrain_mrc_roberta_wwm_ext_large","zh")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("zh.answer_question.bert.large.by_luhua").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_chinese_pretrain_mrc_roberta_wwm_ext_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/luhua/chinese_pretrain_mrc_roberta_wwm_ext_large
+- https://github.com/basketballandlearn/MRC_Competition_Dureader
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_question_answering_zh.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_question_answering_zh.md
new file mode 100644
index 000000000000..c195789888de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinese_question_answering_zh.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Cased model (from NchuNLP)
+author: John Snow Labs
+name: bert_qa_chinese_question_answering
+date: 2023-11-14
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `Chinese-Question-Answering` is a Chinese model originally trained by `NchuNLP`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_question_answering_zh_5.2.0_3.0_1700000722663.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_chinese_question_answering_zh_5.2.0_3.0_1700000722663.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_chinese_question_answering","zh")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_chinese_question_answering","zh")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_chinese_question_answering|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|381.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/NchuNLP/Chinese-Question-Answering
+- https://nlpnchu.org/
+- https://demo.nlpnchu.org/
+- https://github.com/NCHU-NLP-Lab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinesebert_zh.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinesebert_zh.md
new file mode 100644
index 000000000000..a902430606f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_chinesebert_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Cased model (from dengwei072)
+author: John Snow Labs
+name: bert_qa_chinesebert
+date: 2023-11-14
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `ChineseBERT` is a Chinese model originally trained by `dengwei072`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_chinesebert_zh_5.2.0_3.0_1700000253518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_chinesebert_zh_5.2.0_3.0_1700000253518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_chinesebert","zh")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_chinesebert","zh")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_chinesebert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|381.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/dengwei072/ChineseBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_covid_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_covid_squad_en.md
new file mode 100644
index 000000000000..48e421202de0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_covid_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from graviraja)
+author: John Snow Labs
+name: bert_qa_covid_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `covid_squad` is a English model orginally trained by `graviraja`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_covid_squad_en_5.2.0_3.0_1699997520672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_covid_squad_en_5.2.0_3.0_1699997520672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_covid_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_covid_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad_covid.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_covid_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/graviraja/covid_squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_covidbert_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_covidbert_squad_en.md
new file mode 100644
index 000000000000..029ed8b23018
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_covidbert_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from graviraja)
+author: John Snow Labs
+name: bert_qa_covidbert_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `covidbert_squad` is a English model orginally trained by `graviraja`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_covidbert_squad_en_5.2.0_3.0_1700004666926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_covidbert_squad_en_5.2.0_3.0_1700004666926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_covidbert_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_covidbert_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.covid_bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_covidbert_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/graviraja/covidbert_squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_csarron_bert_base_uncased_squad_v1_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_csarron_bert_base_uncased_squad_v1_en.md
new file mode 100644
index 000000000000..971e4b8c6525
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_csarron_bert_base_uncased_squad_v1_en.md
@@ -0,0 +1,114 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from csarron)
+author: John Snow Labs
+name: bert_qa_csarron_bert_base_uncased_squad_v1
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-squad-v1` is a English model orginally trained by `csarron`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_csarron_bert_base_uncased_squad_v1_en_5.2.0_3.0_1700004972342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_csarron_bert_base_uncased_squad_v1_en_5.2.0_3.0_1700004972342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_csarron_bert_base_uncased_squad_v1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_csarron_bert_base_uncased_squad_v1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased.by_csarron").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_csarron_bert_base_uncased_squad_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/csarron/bert-base-uncased-squad-v1
+- https://twitter.com/sysnlp
+- https://awk.ai/
+- https://github.com/csarron
+- https://www.aclweb.org/anthology/N19-1423/
+- https://rajpurkar.github.io/SQuAD-explorer
+- https://www.aclweb.org/anthology/N19-1423.pdf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cuad_pol_bad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cuad_pol_bad_en.md
new file mode 100644
index 000000000000..c6ff6bb5182c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cuad_pol_bad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from beautifulpichai)
+author: John Snow Labs
+name: bert_qa_cuad_pol_bad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `cuad_pol_bad` is a English model originally trained by `beautifulpichai`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_cuad_pol_bad_en_5.2.0_3.0_1700001346182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_cuad_pol_bad_en_5.2.0_3.0_1700001346182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_cuad_pol_bad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_cuad_pol_bad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_cuad_pol_bad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/beautifulpichai/cuad_pol_bad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cuad_pol_good_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cuad_pol_good_en.md
new file mode 100644
index 000000000000..5ea950297635
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cuad_pol_good_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from beautifulpichai)
+author: John Snow Labs
+name: bert_qa_cuad_pol_good
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `cuad_pol_good` is a English model originally trained by `beautifulpichai`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_cuad_pol_good_en_5.2.0_3.0_1700000901597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_cuad_pol_good_en_5.2.0_3.0_1700000901597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_cuad_pol_good","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_cuad_pol_good","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_cuad_pol_good|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/beautifulpichai/cuad_pol_good
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cyrusmv_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cyrusmv_finetuned_squad_en.md
new file mode 100644
index 000000000000..a25b02a08e42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_cyrusmv_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from cyrusmv)
+author: John Snow Labs
+name: bert_qa_cyrusmv_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `cyrusmv`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_cyrusmv_finetuned_squad_en_5.2.0_3.0_1700004138417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_cyrusmv_finetuned_squad_en_5.2.0_3.0_1700004138417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_cyrusmv_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_cyrusmv_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_cyrusmv_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/cyrusmv/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_danish_bert_botxo_qa_squad_da.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_danish_bert_botxo_qa_squad_da.md
new file mode 100644
index 000000000000..fe1ba0a3b1b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_danish_bert_botxo_qa_squad_da.md
@@ -0,0 +1,111 @@
+---
+layout: model
+title: Danish BertForQuestionAnswering model (from jacobshein)
+author: John Snow Labs
+name: bert_qa_danish_bert_botxo_qa_squad
+date: 2023-11-14
+tags: [da, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: da
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `danish-bert-botxo-qa-squad` is a Danish model orginally trained by `jacobshein`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_danish_bert_botxo_qa_squad_da_5.2.0_3.0_1700001626558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_danish_bert_botxo_qa_squad_da_5.2.0_3.0_1700001626558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_danish_bert_botxo_qa_squad","da") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_danish_bert_botxo_qa_squad","da")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("da.answer_question.squad.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_danish_bert_botxo_qa_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|da|
+|Size:|412.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jacobshein/danish-bert-botxo-qa-squad
+- https://jacobhein.com/#contact
+- https://github.com/botxo/nordic_bert
+- https://github.com/ccasimiro88/TranslateAlignRetrieve/tree/multilingual/squads-tar/da
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_darshana1406_base_multilingual_cased_finetuned_squad_xx.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_darshana1406_base_multilingual_cased_finetuned_squad_xx.md
new file mode 100644
index 000000000000..ef70182fedf4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_darshana1406_base_multilingual_cased_finetuned_squad_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Base Cased model (from darshana1406)
+author: John Snow Labs
+name: bert_qa_darshana1406_base_multilingual_cased_finetuned_squad
+date: 2023-11-14
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned-squad` is a Multilingual model originally trained by `darshana1406`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_darshana1406_base_multilingual_cased_finetuned_squad_xx_5.2.0_3.0_1700001977877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_darshana1406_base_multilingual_cased_finetuned_squad_xx_5.2.0_3.0_1700001977877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_darshana1406_base_multilingual_cased_finetuned_squad","xx")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_darshana1406_base_multilingual_cased_finetuned_squad","xx")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_darshana1406_base_multilingual_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/darshana1406/bert-base-multilingual-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dbg_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dbg_finetuned_squad_en.md
new file mode 100644
index 000000000000..520051cb620b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dbg_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Shanny)
+author: John Snow Labs
+name: bert_qa_dbg_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `dbgbert-finetuned-squad` is a English model originally trained by `Shanny`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_dbg_finetuned_squad_en_5.2.0_3.0_1700002317552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_dbg_finetuned_squad_en_5.2.0_3.0_1700002317552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_dbg_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_dbg_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_dbg_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Shanny/dbgbert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deberta_v3_base_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deberta_v3_base_en.md
new file mode 100644
index 000000000000..60e852afc94d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deberta_v3_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from vvincentt)
+author: John Snow Labs
+name: bert_qa_deberta_v3_base
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `deberta-v3-base` is a English model originally trained by `vvincentt`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_deberta_v3_base_en_5.2.0_3.0_1700005203611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_deberta_v3_base_en_5.2.0_3.0_1700005203611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deberta_v3_base","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deberta_v3_base","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_deberta_v3_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vvincentt/deberta-v3-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_debug_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_debug_squad_en.md
new file mode 100644
index 000000000000..687023d74f7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_debug_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ArpanZS)
+author: John Snow Labs
+name: bert_qa_debug_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `debug_squad` is a English model orginally trained by `ArpanZS`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_debug_squad_en_5.2.0_3.0_1700005482684.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_debug_squad_en_5.2.0_3.0_1700005482684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_debug_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_debug_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_ArpanZS").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_debug_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ArpanZS/debug_squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deep_pavlov_full_2_ru.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deep_pavlov_full_2_ru.md
new file mode 100644
index 000000000000..1aa0189a11f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deep_pavlov_full_2_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian BertForQuestionAnswering Cased model (from ruselkomp)
+author: John Snow Labs
+name: bert_qa_deep_pavlov_full_2
+date: 2023-11-14
+tags: [ru, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ru
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `deep-pavlov-full-2` is a Russian model originally trained by `ruselkomp`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_deep_pavlov_full_2_ru_5.2.0_3.0_1700005836423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_deep_pavlov_full_2_ru_5.2.0_3.0_1700005836423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_deep_pavlov_full_2","ru") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Как меня зовут?", "Меня зовут Клара, и я живу в Беркли."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_deep_pavlov_full_2","ru")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Как меня зовут?", "Меня зовут Клара, и я живу в Беркли.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_deep_pavlov_full_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ru|
+|Size:|664.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ruselkomp/deep-pavlov-full-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deep_pavlov_full_ru.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deep_pavlov_full_ru.md
new file mode 100644
index 000000000000..dc5934f45de4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deep_pavlov_full_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian BertForQuestionAnswering Cased model (from ruselkomp)
+author: John Snow Labs
+name: bert_qa_deep_pavlov_full
+date: 2023-11-14
+tags: [ru, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ru
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `deep-pavlov-full` is a Russian model originally trained by `ruselkomp`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_deep_pavlov_full_ru_5.2.0_3.0_1700002688118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_deep_pavlov_full_ru_5.2.0_3.0_1700002688118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_deep_pavlov_full","ru") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Как меня зовут?", "Меня зовут Клара, и я живу в Беркли."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_deep_pavlov_full","ru")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Как меня зовут?", "Меня зовут Клара, и я живу в Беркли.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_deep_pavlov_full|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ru|
+|Size:|664.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ruselkomp/deep-pavlov-full
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_bert_base_uncased_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_bert_base_uncased_squad2_en.md
new file mode 100644
index 000000000000..f50405c834a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_bert_base_uncased_squad2_en.md
@@ -0,0 +1,118 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from deepset)
+author: John Snow Labs
+name: bert_qa_deepset_bert_base_uncased_squad2
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-squad2` is a English model orginally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_bert_base_uncased_squad2_en_5.2.0_3.0_1700001241191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_bert_base_uncased_squad2_en_5.2.0_3.0_1700001241191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_deepset_bert_base_uncased_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_deepset_bert_base_uncased_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_deepset_bert_base_uncased_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepset/bert-base-uncased-squad2
+- https://github.com/deepset-ai/haystack/discussions
+- https://deepset.ai
+- https://twitter.com/deepset_ai
+- http://www.deepset.ai/jobs
+- https://haystack.deepset.ai/community/join
+- https://github.com/deepset-ai/haystack/
+- https://deepset.ai/german-bert
+- https://www.linkedin.com/company/deepset-ai/
+- https://github.com/deepset-ai/FARM
+- https://deepset.ai/germanquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_how_1e_4_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_how_1e_4_en.md
new file mode 100644
index 000000000000..ce91b0591cd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_how_1e_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Mini Uncased model (from Moussab)
+author: John Snow Labs
+name: bert_qa_deepset_minilm_uncased_squad2_orkg_how_1e_4
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `deepset-minilm-uncased-squad2-orkg-how-1e-4` is a English model originally trained by `Moussab`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_how_1e_4_en_5.2.0_3.0_1700002894184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_how_1e_4_en_5.2.0_3.0_1700002894184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_how_1e_4","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_how_1e_4","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_deepset_minilm_uncased_squad2_orkg_how_1e_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|123.8 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Moussab/deepset-minilm-uncased-squad2-orkg-how-1e-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_how_5e_05_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_how_5e_05_en.md
new file mode 100644
index 000000000000..e96d7f9b812b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_how_5e_05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Mini Uncased model (from Moussab)
+author: John Snow Labs
+name: bert_qa_deepset_minilm_uncased_squad2_orkg_how_5e_05
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `deepset-minilm-uncased-squad2-orkg-how-5e-05` is a English model originally trained by `Moussab`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_how_5e_05_en_5.2.0_3.0_1700001415991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_how_5e_05_en_5.2.0_3.0_1700001415991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_how_5e_05","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_how_5e_05","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_deepset_minilm_uncased_squad2_orkg_how_5e_05|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|123.8 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Moussab/deepset-minilm-uncased-squad2-orkg-how-5e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_norwegian_label_1e_4_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_norwegian_label_1e_4_en.md
new file mode 100644
index 000000000000..b0092ca467b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_norwegian_label_1e_4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_deepset_minilm_uncased_squad2_orkg_norwegian_label_1e_4 BertForQuestionAnswering from Moussab
+author: John Snow Labs
+name: bert_qa_deepset_minilm_uncased_squad2_orkg_norwegian_label_1e_4
+date: 2023-11-14
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_deepset_minilm_uncased_squad2_orkg_norwegian_label_1e_4` is a English model originally trained by Moussab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_norwegian_label_1e_4_en_5.2.0_3.0_1700005977978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_norwegian_label_1e_4_en_5.2.0_3.0_1700005977978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_deepset_minilm_uncased_squad2_orkg_norwegian_label_5e_05|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|123.8 MB|
+
+## References
+
+https://huggingface.co/Moussab/deepset-minilm-uncased-squad2-orkg-no-label-5e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_what_1e_4_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_what_1e_4_en.md
new file mode 100644
index 000000000000..63c9ff642ef5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_what_1e_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Mini Uncased model (from Moussab)
+author: John Snow Labs
+name: bert_qa_deepset_minilm_uncased_squad2_orkg_what_1e_4
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `deepset-minilm-uncased-squad2-orkg-what-1e-4` is a English model originally trained by `Moussab`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_what_1e_4_en_5.2.0_3.0_1700003146226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_what_1e_4_en_5.2.0_3.0_1700003146226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_what_1e_4","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_what_1e_4","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_deepset_minilm_uncased_squad2_orkg_what_1e_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|123.8 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Moussab/deepset-minilm-uncased-squad2-orkg-what-1e-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_what_5e_05_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_what_5e_05_en.md
new file mode 100644
index 000000000000..f1f94ed61724
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_what_5e_05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Mini Uncased model (from Moussab)
+author: John Snow Labs
+name: bert_qa_deepset_minilm_uncased_squad2_orkg_what_5e_05
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `deepset-minilm-uncased-squad2-orkg-what-5e-05` is a English model originally trained by `Moussab`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_what_5e_05_en_5.2.0_3.0_1700004329305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_what_5e_05_en_5.2.0_3.0_1700004329305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_what_5e_05","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_what_5e_05","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_deepset_minilm_uncased_squad2_orkg_what_5e_05|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|123.8 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Moussab/deepset-minilm-uncased-squad2-orkg-what-5e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_which_1e_4_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_which_1e_4_en.md
new file mode 100644
index 000000000000..9f4df7d88b40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_which_1e_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Mini Uncased model (from Moussab)
+author: John Snow Labs
+name: bert_qa_deepset_minilm_uncased_squad2_orkg_which_1e_4
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `deepset-minilm-uncased-squad2-orkg-which-1e-4` is a English model originally trained by `Moussab`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_which_1e_4_en_5.2.0_3.0_1700006148238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_which_1e_4_en_5.2.0_3.0_1700006148238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_which_1e_4","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_which_1e_4","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_deepset_minilm_uncased_squad2_orkg_which_1e_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|123.8 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Moussab/deepset-minilm-uncased-squad2-orkg-which-1e-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_which_5e_05_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_which_5e_05_en.md
new file mode 100644
index 000000000000..5bb4f65f4162
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_deepset_minilm_uncased_squad2_orkg_which_5e_05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Mini Uncased model (from Moussab)
+author: John Snow Labs
+name: bert_qa_deepset_minilm_uncased_squad2_orkg_which_5e_05
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `deepset-minilm-uncased-squad2-orkg-which-5e-05` is a English model originally trained by `Moussab`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_which_5e_05_en_5.2.0_3.0_1700004505412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_deepset_minilm_uncased_squad2_orkg_which_5e_05_en_5.2.0_3.0_1700004505412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_which_5e_05","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_deepset_minilm_uncased_squad2_orkg_which_5e_05","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_deepset_minilm_uncased_squad2_orkg_which_5e_05|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|123.8 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Moussab/deepset-minilm-uncased-squad2-orkg-which-5e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_demo_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_demo_en.md
new file mode 100644
index 000000000000..73ce15699db1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_demo_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from internetoftim)
+author: John Snow Labs
+name: bert_qa_demo
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `demo` is a English model orginally trained by `internetoftim`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_demo_en_5.2.0_3.0_1700002057115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_demo_en_5.2.0_3.0_1700002057115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_demo","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_demo","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_internetoftim").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_demo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|797.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/internetoftim/demo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_distilbert_base_uncased_finetuned_custom_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_distilbert_base_uncased_finetuned_custom_en.md
new file mode 100644
index 000000000000..84546f5cf415
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_distilbert_base_uncased_finetuned_custom_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from kamilali)
+author: John Snow Labs
+name: bert_qa_distilbert_base_uncased_finetuned_custom
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-custom` is a English model orginally trained by `kamilali`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_distilbert_base_uncased_finetuned_custom_en_5.2.0_3.0_1700002555606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_distilbert_base_uncased_finetuned_custom_en_5.2.0_3.0_1700002555606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_distilbert_base_uncased_finetuned_custom","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_distilbert_base_uncased_finetuned_custom","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.distilled_base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_distilbert_base_uncased_finetuned_custom|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/kamilali/distilbert-base-uncased-finetuned-custom
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_distilbert_turkish_q_a_tr.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_distilbert_turkish_q_a_tr.md
new file mode 100644
index 000000000000..1d777e143b4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_distilbert_turkish_q_a_tr.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Turkish bert_qa_distilbert_turkish_q_a BertForQuestionAnswering from emre
+author: John Snow Labs
+name: bert_qa_distilbert_turkish_q_a
+date: 2023-11-14
+tags: [bert, tr, open_source, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_distilbert_turkish_q_a` is a Turkish model originally trained by emre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_distilbert_turkish_q_a_tr_5.2.0_3.0_1699997767429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_distilbert_turkish_q_a_tr_5.2.0_3.0_1699997767429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_distill_bert_base_spanish_wwm_cased_finetuned_spa_squad2_spanish_mrm8488|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dl4nlp_group11_xtremedistil_l6_h256_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dl4nlp_group11_xtremedistil_l6_h256_uncased_squad_en.md
new file mode 100644
index 000000000000..3ef2332cde79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dl4nlp_group11_xtremedistil_l6_h256_uncased_squad_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from DL4NLP-Group11)
+author: John Snow Labs
+name: bert_qa_dl4nlp_group11_xtremedistil_l6_h256_uncased_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `xtremedistil-l6-h256-uncased-squad` is a English model originally trained by `DL4NLP-Group11`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_dl4nlp_group11_xtremedistil_l6_h256_uncased_squad_en_5.2.0_3.0_1700004805396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_dl4nlp_group11_xtremedistil_l6_h256_uncased_squad_en_5.2.0_3.0_1700004805396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_dl4nlp_group11_xtremedistil_l6_h256_uncased_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_dl4nlp_group11_xtremedistil_l6_h256_uncased_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_dl4nlp_group11_xtremedistil_l6_h256_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|47.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/DL4NLP-Group11/xtremedistil-l6-h256-uncased-squad
+- https://github.com/mrqa/MRQA-Shared-Task-2019
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dry_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dry_finetuned_squad_en.md
new file mode 100644
index 000000000000..f647e471fb32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dry_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from DrY)
+author: John Snow Labs
+name: bert_qa_dry_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `DrY`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_dry_finetuned_squad_en_5.2.0_3.0_1700006372734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_dry_finetuned_squad_en_5.2.0_3.0_1700006372734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_dry_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_dry_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_dry_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/DrY/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dylan1999_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dylan1999_finetuned_squad_en.md
new file mode 100644
index 000000000000..e0203a4be669
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_dylan1999_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Dylan1999)
+author: John Snow Labs
+name: bert_qa_dylan1999_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `Dylan1999`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_dylan1999_finetuned_squad_en_5.2.0_3.0_1700005104544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_dylan1999_finetuned_squad_en_5.2.0_3.0_1700005104544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_dylan1999_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_dylan1999_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_dylan1999_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Dylan1999/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fabianwillner_base_uncased_finetuned_trivia_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fabianwillner_base_uncased_finetuned_trivia_en.md
new file mode 100644
index 000000000000..8ce9f5fea752
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fabianwillner_base_uncased_finetuned_trivia_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from FabianWillner)
+author: John Snow Labs
+name: bert_qa_fabianwillner_base_uncased_finetuned_trivia
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-triviaqa` is a English model originally trained by `FabianWillner`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_fabianwillner_base_uncased_finetuned_trivia_en_5.2.0_3.0_1699998057296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_fabianwillner_base_uncased_finetuned_trivia_en_5.2.0_3.0_1699998057296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_fabianwillner_base_uncased_finetuned_trivia","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_fabianwillner_base_uncased_finetuned_trivia","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_fabianwillner_base_uncased_finetuned_trivia|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/FabianWillner/bert-base-uncased-finetuned-triviaqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_faquad_base_portuguese_cased_pt.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_faquad_base_portuguese_cased_pt.md
new file mode 100644
index 000000000000..8f29534636df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_faquad_base_portuguese_cased_pt.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: Portuguese BertForQuestionAnswering Base Cased model (from eraldoluis)
+author: John Snow Labs
+name: bert_qa_faquad_base_portuguese_cased
+date: 2023-11-14
+tags: [pt, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: pt
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `faquad-bert-base-portuguese-cased` is a Portuguese model originally trained by `eraldoluis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_faquad_base_portuguese_cased_pt_5.2.0_3.0_1700003519252.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_faquad_base_portuguese_cased_pt_5.2.0_3.0_1700003519252.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_faquad_base_portuguese_cased","pt")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_faquad_base_portuguese_cased","pt")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_faquad_base_portuguese_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|pt|
+|Size:|405.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/eraldoluis/faquad-bert-base-portuguese-cased
+- https://paperswithcode.com/sota?task=Extractive+Question-Answering&dataset=FaQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fewrel_zero_shot_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fewrel_zero_shot_en.md
new file mode 100644
index 000000000000..19ac5324628b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fewrel_zero_shot_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from fractalego)
+author: John Snow Labs
+name: bert_qa_fewrel_zero_shot
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `fewrel-zero-shot` is a English model orginally trained by `fractalego`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_fewrel_zero_shot_en_5.2.0_3.0_1700004037037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_fewrel_zero_shot_en_5.2.0_3.0_1700004037037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_fewrel_zero_shot","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_fewrel_zero_shot","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.zero_shot").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_fewrel_zero_shot|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/fractalego/fewrel-zero-shot
+- https://www.aclweb.org/anthology/2020.coling-main.124
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_financial_v2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_financial_v2_en.md
new file mode 100644
index 000000000000..9bc9c2cf36fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_financial_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from anablasi)
+author: John Snow Labs
+name: bert_qa_financial_v2
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `qa_financial_v2` is a English model originally trained by `anablasi`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_financial_v2_en_5.2.0_3.0_1700002846482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_financial_v2_en_5.2.0_3.0_1700002846482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_financial_v2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_financial_v2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_financial_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anablasi/qa_financial_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fine_tuned_squad_aip_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fine_tuned_squad_aip_en.md
new file mode 100644
index 000000000000..6ed8e11a8d74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fine_tuned_squad_aip_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from Kutay)
+author: John Snow Labs
+name: bert_qa_fine_tuned_squad_aip
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `fine_tuned_squad_aip` is a English model orginally trained by `Kutay`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_fine_tuned_squad_aip_en_5.2.0_3.0_1700004346563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_fine_tuned_squad_aip_en_5.2.0_3.0_1700004346563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_fine_tuned_squad_aip","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_fine_tuned_squad_aip","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_Kutay").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_fine_tuned_squad_aip|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Kutay/fine_tuned_squad_aip
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fine_tuned_tweetqa_aip_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fine_tuned_tweetqa_aip_en.md
new file mode 100644
index 000000000000..a593f1ec4817
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fine_tuned_tweetqa_aip_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from Kutay)
+author: John Snow Labs
+name: bert_qa_fine_tuned_tweetqa_aip
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `fine_tuned_tweetqa_aip` is a English model orginally trained by `Kutay`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_fine_tuned_tweetqa_aip_en_5.2.0_3.0_1699998354333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_fine_tuned_tweetqa_aip_en_5.2.0_3.0_1699998354333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_fine_tuned_tweetqa_aip","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_fine_tuned_tweetqa_aip","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.trivia.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_fine_tuned_tweetqa_aip|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Kutay/fine_tuned_tweetqa_aip
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetune_bert_base_v1_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetune_bert_base_v1_en.md
new file mode 100644
index 000000000000..e88d596accca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetune_bert_base_v1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from peggyhuang)
+author: John Snow Labs
+name: bert_qa_finetune_bert_base_v1
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `finetune-bert-base-v1` is a English model orginally trained by `peggyhuang`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_finetune_bert_base_v1_en_5.2.0_3.0_1700003144412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_finetune_bert_base_v1_en_5.2.0_3.0_1700003144412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_finetune_bert_base_v1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_finetune_bert_base_v1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.base.by_peggyhuang").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_finetune_bert_base_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/peggyhuang/finetune-bert-base-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetune_scibert_v2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetune_scibert_v2_en.md
new file mode 100644
index 000000000000..7b048206f09a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetune_scibert_v2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from peggyhuang)
+author: John Snow Labs
+name: bert_qa_finetune_scibert_v2
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `finetune-SciBert-v2` is a English model originally trained by `peggyhuang`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_finetune_scibert_v2_en_5.2.0_3.0_1700003411813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_finetune_scibert_v2_en_5.2.0_3.0_1700003411813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_finetune_scibert_v2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_finetune_scibert_v2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.scibert.scibert.v2").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_finetune_scibert_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|409.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/peggyhuang/finetune-SciBert-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_custom_2_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_custom_2_en.md
new file mode 100644
index 000000000000..2234dd94b7be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_custom_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from VedantS01)
+author: John Snow Labs
+name: bert_qa_finetuned_custom_2
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-custom-2` is a English model originally trained by `VedantS01`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_finetuned_custom_2_en_5.2.0_3.0_1700003752620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_finetuned_custom_2_en_5.2.0_3.0_1700003752620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_finetuned_custom_2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_finetuned_custom_2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_finetuned_custom_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/VedantS01/bert-finetuned-custom-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_custom_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_custom_en.md
new file mode 100644
index 000000000000..9af8271ddf15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_custom_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from VedantS01)
+author: John Snow Labs
+name: bert_qa_finetuned_custom
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-custom` is a English model originally trained by `VedantS01`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_finetuned_custom_en_5.2.0_3.0_1700005469442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_finetuned_custom_en_5.2.0_3.0_1700005469442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_finetuned_custom","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_finetuned_custom","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_finetuned_custom|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/VedantS01/bert-finetuned-custom
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_squad_transformerfrozen_testtoken_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_squad_transformerfrozen_testtoken_en.md
new file mode 100644
index 000000000000..fd4b5191cca8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_squad_transformerfrozen_testtoken_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from DaisyMak)
+author: John Snow Labs
+name: bert_qa_finetuned_squad_transformerfrozen_testtoken
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-transformerfrozen-testtoken` is a English model originally trained by `DaisyMak`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_finetuned_squad_transformerfrozen_testtoken_en_5.2.0_3.0_1700005818068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_finetuned_squad_transformerfrozen_testtoken_en_5.2.0_3.0_1700005818068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_finetuned_squad_transformerfrozen_testtoken","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_finetuned_squad_transformerfrozen_testtoken","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned.by_DaisyMak").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_finetuned_squad_transformerfrozen_testtoken|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/DaisyMak/bert-finetuned-squad-transformerfrozen-testtoken
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_uia_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_uia_en.md
new file mode 100644
index 000000000000..20dabb53f725
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_finetuned_uia_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from eibakke)
+author: John Snow Labs
+name: bert_qa_finetuned_uia
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-uia` is a English model originally trained by `eibakke`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_finetuned_uia_en_5.2.0_3.0_1700004690933.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_finetuned_uia_en_5.2.0_3.0_1700004690933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_finetuned_uia","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_finetuned_uia","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_finetuned_uia|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/eibakke/bert-finetuned-uia
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_firmanindolanguagemodel_id.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_firmanindolanguagemodel_id.md
new file mode 100644
index 000000000000..35eb8791908e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_firmanindolanguagemodel_id.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Indonesian BertForQuestionAnswering Cased model (from FirmanBr)
+author: John Snow Labs
+name: bert_qa_firmanindolanguagemodel
+date: 2023-11-14
+tags: [id, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: id
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `FirmanIndoLanguageModel` is a Indonesian model originally trained by `FirmanBr`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_firmanindolanguagemodel_id_5.2.0_3.0_1700004939155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_firmanindolanguagemodel_id_5.2.0_3.0_1700004939155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_firmanindolanguagemodel","id") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Siapa namaku?", "Nama saya Clara dan saya tinggal di Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_firmanindolanguagemodel","id")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Siapa namaku?", "Nama saya Clara dan saya tinggal di Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("id.answer_question.bert.lang").predict("""Siapa namaku?|||"Nama saya Clara dan saya tinggal di Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_firmanindolanguagemodel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|id|
+|Size:|412.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/FirmanBr/FirmanIndoLanguageModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fpdm_bert_ft_nepal_bhasa_newsqa_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fpdm_bert_ft_nepal_bhasa_newsqa_en.md
new file mode 100644
index 000000000000..d19ae638daf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_fpdm_bert_ft_nepal_bhasa_newsqa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_fpdm_bert_ft_nepal_bhasa_newsqa BertForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: bert_qa_fpdm_bert_ft_nepal_bhasa_newsqa
+date: 2023-11-14
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_fpdm_bert_ft_nepal_bhasa_newsqa` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_fpdm_bert_ft_nepal_bhasa_newsqa_en_5.2.0_3.0_1700005142570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_fpdm_bert_ft_nepal_bhasa_newsqa_en_5.2.0_3.0_1700005142570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_fpdm_triplet_bert_ft_newsqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/AnonymousSub/fpdm_triplet_bert_FT_newsqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hebert_finetuned_hebrew_squad_he.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hebert_finetuned_hebrew_squad_he.md
new file mode 100644
index 000000000000..d76340e5aca6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hebert_finetuned_hebrew_squad_he.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Hebrew BertForQuestionAnswering model (from tdklab)
+author: John Snow Labs
+name: bert_qa_hebert_finetuned_hebrew_squad
+date: 2023-11-14
+tags: [he, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: he
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `hebert-finetuned-hebrew-squad` is a Hebrew model orginally trained by `tdklab`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_hebert_finetuned_hebrew_squad_he_5.2.0_3.0_1700004422238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_hebert_finetuned_hebrew_squad_he_5.2.0_3.0_1700004422238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_hebert_finetuned_hebrew_squad","he") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_hebert_finetuned_hebrew_squad","he")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("he.answer_question.squad.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_hebert_finetuned_hebrew_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|he|
+|Size:|408.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tdklab/hebert-finetuned-hebrew-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hendrixcosta_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hendrixcosta_en.md
new file mode 100644
index 000000000000..d3a51f983ed0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hendrixcosta_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from hendrixcosta)
+author: John Snow Labs
+name: bert_qa_hendrixcosta
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `hendrixcosta` is a English model originally trained by `hendrixcosta`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_hendrixcosta_en_5.2.0_3.0_1700005668071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_hendrixcosta_en_5.2.0_3.0_1700005668071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_hendrixcosta","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_hendrixcosta","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_hendrixcosta").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_hendrixcosta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|404.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/hendrixcosta/hendrixcosta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hf_internal_testing_tiny_random_forquestionanswering_ja.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hf_internal_testing_tiny_random_forquestionanswering_ja.md
new file mode 100644
index 000000000000..523a3ab58c14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hf_internal_testing_tiny_random_forquestionanswering_ja.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Japanese BertForQuestionAnswering Tiny Cased model (from hf-internal-testing)
+author: John Snow Labs
+name: bert_qa_hf_internal_testing_tiny_random_forquestionanswering
+date: 2023-11-14
+tags: [ja, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ja
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `tiny-random-BertForQuestionAnswering` is a Japanese model originally trained by `hf-internal-testing`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_hf_internal_testing_tiny_random_forquestionanswering_ja_5.2.0_3.0_1700006333001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_hf_internal_testing_tiny_random_forquestionanswering_ja_5.2.0_3.0_1700006333001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_hf_internal_testing_tiny_random_forquestionanswering","ja")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_hf_internal_testing_tiny_random_forquestionanswering","ja")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_hf_internal_testing_tiny_random_forquestionanswering|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ja|
+|Size:|346.4 KB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/hf-internal-testing/tiny-random-BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hkhkhkhk_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hkhkhkhk_finetuned_squad_en.md
new file mode 100644
index 000000000000..507c72cd5b5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hkhkhkhk_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from HKHKHKHK)
+author: John Snow Labs
+name: bert_qa_hkhkhkhk_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `HKHKHKHK`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_hkhkhkhk_finetuned_squad_en_5.2.0_3.0_1699998618156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_hkhkhkhk_finetuned_squad_en_5.2.0_3.0_1699998618156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_hkhkhkhk_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_hkhkhkhk_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_hkhkhkhk_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/HKHKHKHK/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_huawei_noahtiny_general_6l_768_hotpot_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_huawei_noahtiny_general_6l_768_hotpot_en.md
new file mode 100644
index 000000000000..4aa9c963426a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_huawei_noahtiny_general_6l_768_hotpot_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Tiny Cased model (from DL4NLP-Group4)
+author: John Snow Labs
+name: bert_qa_huawei_noahtiny_general_6l_768_hotpot
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `huawei-noahTinyBERT_General_6L_768_HotpotQA` is a English model originally trained by `DL4NLP-Group4`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_huawei_noahtiny_general_6l_768_hotpot_en_5.2.0_3.0_1699999043426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_huawei_noahtiny_general_6l_768_hotpot_en_5.2.0_3.0_1699999043426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_huawei_noahtiny_general_6l_768_hotpot","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_huawei_noahtiny_general_6l_768_hotpot","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_huawei_noahtiny_general_6l_768_hotpot|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|248.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/DL4NLP-Group4/huawei-noahTinyBERT_General_6L_768_HotpotQA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_huggingface_course_bert_finetuned_squad_accelerate_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_huggingface_course_bert_finetuned_squad_accelerate_en.md
new file mode 100644
index 000000000000..3b759547932e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_huggingface_course_bert_finetuned_squad_accelerate_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from huggingface-course)
+author: John Snow Labs
+name: bert_qa_huggingface_course_bert_finetuned_squad_accelerate
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-accelerate` is a English model orginally trained by `huggingface-course`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_huggingface_course_bert_finetuned_squad_accelerate_en_5.2.0_3.0_1700006192068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_huggingface_course_bert_finetuned_squad_accelerate_en_5.2.0_3.0_1700006192068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_huggingface_course_bert_finetuned_squad_accelerate","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_huggingface_course_bert_finetuned_squad_accelerate","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.accelerate.by_huggingface-course").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_huggingface_course_bert_finetuned_squad_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/huggingface-course/bert-finetuned-squad-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_huggingface_course_bert_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_huggingface_course_bert_finetuned_squad_en.md
new file mode 100644
index 000000000000..8d5d3fbef46d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_huggingface_course_bert_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from huggingface-course)
+author: John Snow Labs
+name: bert_qa_huggingface_course_bert_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model orginally trained by `huggingface-course`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_huggingface_course_bert_finetuned_squad_en_5.2.0_3.0_1700005924998.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_huggingface_course_bert_finetuned_squad_en_5.2.0_3.0_1700005924998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_huggingface_course_bert_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_huggingface_course_bert_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_huggingface-course").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_huggingface_course_bert_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/huggingface-course/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hungarian_fine_tuned_hungarian_squadv2_hu.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hungarian_fine_tuned_hungarian_squadv2_hu.md
new file mode 100644
index 000000000000..c18ef79d3c60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_hungarian_fine_tuned_hungarian_squadv2_hu.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Hungarian bert_qa_hungarian_fine_tuned_hungarian_squadv2 BertForQuestionAnswering from mcsabai
+author: John Snow Labs
+name: bert_qa_hungarian_fine_tuned_hungarian_squadv2
+date: 2023-11-14
+tags: [bert, hu, open_source, question_answering, onnx]
+task: Question Answering
+language: hu
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_hungarian_fine_tuned_hungarian_squadv2` is a Hungarian model originally trained by mcsabai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_hungarian_fine_tuned_hungarian_squadv2_hu_5.2.0_3.0_1699998824803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_hungarian_fine_tuned_hungarian_squadv2_hu_5.2.0_3.0_1699998824803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_hungarian_fine_tuned_hungarian_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|hu|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/mcsabai/huBert-fine-tuned-hungarian-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_ixambert_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_ixambert_finetuned_squad_en.md
new file mode 100644
index 000000000000..22ce3873434d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_ixambert_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from MarcBrun)
+author: John Snow Labs
+name: bert_qa_ixambert_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `ixambert-finetuned-squad` is a English model orginally trained by `MarcBrun`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ixambert_finetuned_squad_en_5.2.0_3.0_1700004747005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ixambert_finetuned_squad_en_5.2.0_3.0_1700004747005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_ixambert_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_ixambert_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.ixam_bert.by_MarcBrun").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ixambert_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|661.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MarcBrun/ixambert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_jatinshah_bert_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_jatinshah_bert_finetuned_squad_en.md
new file mode 100644
index 000000000000..c0eb458433f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_jatinshah_bert_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from jatinshah)
+author: John Snow Labs
+name: bert_qa_jatinshah_bert_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model orginally trained by `jatinshah`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_jatinshah_bert_finetuned_squad_en_5.2.0_3.0_1700005039392.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_jatinshah_bert_finetuned_squad_en_5.2.0_3.0_1700005039392.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_jatinshah_bert_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_jatinshah_bert_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_jatinshah").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_jatinshah_bert_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jatinshah/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kd_squad1.1_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kd_squad1.1_en.md
new file mode 100644
index 000000000000..5194f4d09319
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kd_squad1.1_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from maroo93)
+author: John Snow Labs
+name: bert_qa_kd_squad1.1
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `kd_squad1.1` is a English model originally trained by `maroo93`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_kd_squad1.1_en_5.2.0_3.0_1700005266222.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_kd_squad1.1_en_5.2.0_3.0_1700005266222.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_kd_squad1.1","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_kd_squad1.1","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_kd_squad1.1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|249.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/maroo93/kd_squad1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kflash_finetuned_squad_accelera_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kflash_finetuned_squad_accelera_en.md
new file mode 100644
index 000000000000..3c577cb74e21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kflash_finetuned_squad_accelera_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from KFlash)
+author: John Snow Labs
+name: bert_qa_kflash_finetuned_squad_accelera
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-accelerate` is a English model originally trained by `KFlash`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_kflash_finetuned_squad_accelera_en_5.2.0_3.0_1700005786539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_kflash_finetuned_squad_accelera_en_5.2.0_3.0_1700005786539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_kflash_finetuned_squad_accelera","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_kflash_finetuned_squad_accelera","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned_squad_accelera.by_KFlash").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_kflash_finetuned_squad_accelera|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/KFlash/bert-finetuned-squad-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kflash_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kflash_finetuned_squad_en.md
new file mode 100644
index 000000000000..11cb60134479
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kflash_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from KFlash)
+author: John Snow Labs
+name: bert_qa_kflash_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `KFlash`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_kflash_finetuned_squad_en_5.2.0_3.0_1700005489077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_kflash_finetuned_squad_en_5.2.0_3.0_1700005489077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_kflash_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_kflash_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned_squad.by_KFlash").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_kflash_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/KFlash/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kobert_finetuned_klue_v2_ko.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kobert_finetuned_klue_v2_ko.md
new file mode 100644
index 000000000000..7c9ccdfaecb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_kobert_finetuned_klue_v2_ko.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering Cased model (from obokkkk)
+author: John Snow Labs
+name: bert_qa_kobert_finetuned_klue_v2
+date: 2023-11-14
+tags: [ko, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `kobert-finetuned-klue-v2` is a Korean model originally trained by `obokkkk`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_kobert_finetuned_klue_v2_ko_5.2.0_3.0_1700006185949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_kobert_finetuned_klue_v2_ko_5.2.0_3.0_1700006185949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_kobert_finetuned_klue_v2","ko") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_kobert_finetuned_klue_v2","ko")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_kobert_finetuned_klue_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|342.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/obokkkk/kobert-finetuned-klue-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_komrc_train_ko.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_komrc_train_ko.md
new file mode 100644
index 000000000000..730b9d8c5874
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_komrc_train_ko.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering Cased model (from Taekyoon)
+author: John Snow Labs
+name: bert_qa_komrc_train
+date: 2023-11-14
+tags: [ko, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `komrc_train` is a Korean model originally trained by `Taekyoon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_komrc_train_ko_5.2.0_3.0_1699999319111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_komrc_train_ko_5.2.0_3.0_1699999319111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_komrc_train","ko") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_komrc_train","ko")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_komrc_train|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|406.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Taekyoon/komrc_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_korean_finetuned_klue_v2_ko.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_korean_finetuned_klue_v2_ko.md
new file mode 100644
index 000000000000..fd1afd3cac74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_korean_finetuned_klue_v2_ko.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Korean bert_qa_korean_finetuned_klue_v2 BertForQuestionAnswering from Seongmi
+author: John Snow Labs
+name: bert_qa_korean_finetuned_klue_v2
+date: 2023-11-14
+tags: [bert, ko, open_source, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_korean_finetuned_klue_v2` is a Korean model originally trained by Seongmi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_korean_finetuned_klue_v2_ko_5.2.0_3.0_1700005960456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_korean_finetuned_klue_v2_ko_5.2.0_3.0_1700005960456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_korean_finetuned_klue_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|342.9 MB|
+
+## References
+
+https://huggingface.co/Seongmi/kobert-finetuned-klue-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_large_uncased_finetuned_infovqa_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_large_uncased_finetuned_infovqa_en.md
new file mode 100644
index 000000000000..c6cd5cd3b584
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_large_uncased_finetuned_infovqa_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Large Uncased model (from tiennvcs)
+author: John Snow Labs
+name: bert_qa_large_uncased_finetuned_infovqa
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-finetuned-infovqa` is a English model originally trained by `tiennvcs`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_finetuned_infovqa_en_5.2.0_3.0_1699999822368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_finetuned_infovqa_en_5.2.0_3.0_1699999822368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_large_uncased_finetuned_infovqa","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_large_uncased_finetuned_infovqa","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.uncased_large_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_large_uncased_finetuned_infovqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tiennvcs/bert-large-uncased-finetuned-infovqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_large_uncased_finetuned_squadv1_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_large_uncased_finetuned_squadv1_en.md
new file mode 100644
index 000000000000..d5c84f2e45e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_large_uncased_finetuned_squadv1_en.md
@@ -0,0 +1,96 @@
+---
+layout: model
+title: English BertForQuestionAnswering Large Uncased model (from neuralmagic)
+author: John Snow Labs
+name: bert_qa_large_uncased_finetuned_squadv1
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-finetuned-squadv1` is a English model originally trained by `neuralmagic`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_finetuned_squadv1_en_5.2.0_3.0_1700000343445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_finetuned_squadv1_en_5.2.0_3.0_1700000343445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_large_uncased_finetuned_squadv1","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_large_uncased_finetuned_squadv1","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_large_uncased_finetuned_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/neuralmagic/bert-large-uncased-finetuned-squadv1
+- https://arxiv.org/abs/2203.07259
+- https://github.com/neuralmagic/sparseml/tree/main/research/optimal_BERT_surgeon_oBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_large_uncased_finetuned_vietnamese_infovqa_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_large_uncased_finetuned_vietnamese_infovqa_en.md
new file mode 100644
index 000000000000..f2358b6349e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_large_uncased_finetuned_vietnamese_infovqa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_large_uncased_finetuned_vietnamese_infovqa BertForQuestionAnswering from tiennvcs
+author: John Snow Labs
+name: bert_qa_large_uncased_finetuned_vietnamese_infovqa
+date: 2023-11-14
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_large_uncased_finetuned_vietnamese_infovqa` is a English model originally trained by tiennvcs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_finetuned_vietnamese_infovqa_en_5.2.0_3.0_1700000677852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_finetuned_vietnamese_infovqa_en_5.2.0_3.0_1700000677852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_large_uncased_finetuned_vietnamese_infovqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tiennvcs/bert-large-uncased-finetuned-vi-infovqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_lewtun_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_lewtun_finetuned_squad_en.md
new file mode 100644
index 000000000000..c5d2acf4e4f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_lewtun_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from lewtun)
+author: John Snow Labs
+name: bert_qa_lewtun_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `lewtun`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_lewtun_finetuned_squad_en_5.2.0_3.0_1700000994244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_lewtun_finetuned_squad_en_5.2.0_3.0_1700000994244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_lewtun_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_lewtun_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned.by_lewtun").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_lewtun_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/lewtun/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_linkbert_large_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_linkbert_large_finetuned_squad_en.md
new file mode 100644
index 000000000000..81bd727cfd82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_linkbert_large_finetuned_squad_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from niklaspm)
+author: John Snow Labs
+name: bert_qa_linkbert_large_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `linkbert-large-finetuned-squad` is a English model orginally trained by `niklaspm`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_linkbert_large_finetuned_squad_en_5.2.0_3.0_1700001527794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_linkbert_large_finetuned_squad_en_5.2.0_3.0_1700001527794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_linkbert_large_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_linkbert_large_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.link_bert.large").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_linkbert_large_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/niklaspm/linkbert-large-finetuned-squad
+- https://arxiv.org/abs/2203.15827
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_m_xx.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_m_xx.md
new file mode 100644
index 000000000000..0e9a4c54dbc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_m_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Cased model (from sepiosky)
+author: John Snow Labs
+name: bert_qa_m
+date: 2023-11-14
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `MBERT_QA` is a Multilingual model originally trained by `sepiosky`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_m_xx_5.2.0_3.0_1700001968982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_m_xx_5.2.0_3.0_1700001968982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_m","xx")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_m","xx")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|625.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sepiosky/MBERT_QA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_macsquad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_macsquad_en.md
new file mode 100644
index 000000000000..02e277f0a5fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_macsquad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Nadav)
+author: John Snow Labs
+name: bert_qa_macsquad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `MacSQuAD` is a English model originally trained by `Nadav`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_macsquad_en_5.2.0_3.0_1700002467032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_macsquad_en_5.2.0_3.0_1700002467032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_macsquad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_macsquad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.by_nadav").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_macsquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|406.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Nadav/MacSQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_mbert_all_tahitian_sqen_sq20_1_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_mbert_all_tahitian_sqen_sq20_1_en.md
new file mode 100644
index 000000000000..b67f0f2ffd89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_mbert_all_tahitian_sqen_sq20_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_mbert_all_tahitian_sqen_sq20_1 BertForQuestionAnswering from krinal214
+author: John Snow Labs
+name: bert_qa_mbert_all_tahitian_sqen_sq20_1
+date: 2023-11-14
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_mbert_all_tahitian_sqen_sq20_1` is a English model originally trained by krinal214.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mbert_all_tahitian_sqen_sq20_1_en_5.2.0_3.0_1700002195661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mbert_all_tahitian_sqen_sq20_1_en_5.2.0_3.0_1700002195661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mbert_finetuned_mlqa_vietnamese_hindi_dev|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/roshnir/mBert-finetuned-mlqa-dev-vi-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_mkkc58_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_mkkc58_finetuned_squad_en.md
new file mode 100644
index 000000000000..370413c0dba0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_mkkc58_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from mkkc58)
+author: John Snow Labs
+name: bert_qa_mkkc58_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `mkkc58`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mkkc58_finetuned_squad_en_5.2.0_3.0_1700003196849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mkkc58_finetuned_squad_en_5.2.0_3.0_1700003196849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_mkkc58_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_mkkc58_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned.by_mkkc58").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mkkc58_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mkkc58/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_modelontquad_tr.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_modelontquad_tr.md
new file mode 100644
index 000000000000..56925ddeed7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_modelontquad_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering Cased model (from Aybars)
+author: John Snow Labs
+name: bert_qa_modelontquad
+date: 2023-11-14
+tags: [tr, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `ModelOnTquad` is a Turkish model originally trained by `Aybars`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_modelontquad_tr_5.2.0_3.0_1700003570293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_modelontquad_tr_5.2.0_3.0_1700003570293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_modelontquad","tr") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_modelontquad","tr")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_modelontquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|688.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Aybars/ModelOnTquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_monakth_base_cased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_monakth_base_cased_finetuned_squad_en.md
new file mode 100644
index 000000000000..55dfd71086e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_monakth_base_cased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from monakth)
+author: John Snow Labs
+name: bert_qa_monakth_base_cased_finetuned_squad
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-finetuned-squad` is a English model originally trained by `monakth`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_monakth_base_cased_finetuned_squad_en_5.2.0_3.0_1700003875248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_monakth_base_cased_finetuned_squad_en_5.2.0_3.0_1700003875248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_monakth_base_cased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_monakth_base_cased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_monakth_base_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/monakth/bert-base-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_mqa_baseline_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_mqa_baseline_en.md
new file mode 100644
index 000000000000..0f205df21f23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_mqa_baseline_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from xraychen)
+author: John Snow Labs
+name: bert_qa_mqa_baseline
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `mqa-baseline` is a English model orginally trained by `xraychen`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mqa_baseline_en_5.2.0_3.0_1700004141822.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mqa_baseline_en_5.2.0_3.0_1700004141822.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_mqa_baseline","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_mqa_baseline","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.base.by_xraychen").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mqa_baseline|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/xraychen/mqa-baseline
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_multilingual_bert_base_cased_english_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_multilingual_bert_base_cased_english_en.md
new file mode 100644
index 000000000000..f688bf0eb120
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_multilingual_bert_base_cased_english_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from bhavikardeshna)
+author: John Snow Labs
+name: bert_qa_multilingual_bert_base_cased_english
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `multilingual-bert-base-cased-english` is a English model orginally trained by `bhavikardeshna`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_english_en_5.2.0_3.0_1700004618287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_english_en_5.2.0_3.0_1700004618287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_multilingual_bert_base_cased_english","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_multilingual_bert_base_cased_english","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.multilingual_english_tuned_base_cased.by_bhavikardeshna").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_multilingual_bert_base_cased_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bhavikardeshna/multilingual-bert-base-cased-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_muril_large_cased_hita_qa_hi.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_muril_large_cased_hita_qa_hi.md
new file mode 100644
index 000000000000..36e468e02be9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_muril_large_cased_hita_qa_hi.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Hindi BertForQuestionAnswering model (from Yuchen)
+author: John Snow Labs
+name: bert_qa_muril_large_cased_hita_qa
+date: 2023-11-14
+tags: [open_source, question_answering, bert, hi, onnx]
+task: Question Answering
+language: hi
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `muril-large-cased-hita-qa` is a Hindi model orginally trained by `Yuchen`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_muril_large_cased_hita_qa_hi_5.2.0_3.0_1700005221724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_muril_large_cased_hita_qa_hi_5.2.0_3.0_1700005221724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_muril_large_cased_hita_qa","hi") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_muril_large_cased_hita_qa","hi")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("hi.answer_question.bert.large_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_muril_large_cased_hita_qa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|hi|
+|Size:|1.9 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Yuchen/muril-large-cased-hita-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_nausheen_finetuned_squad_accelera_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_nausheen_finetuned_squad_accelera_en.md
new file mode 100644
index 000000000000..5c6defa86788
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_nausheen_finetuned_squad_accelera_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Nausheen)
+author: John Snow Labs
+name: bert_qa_nausheen_finetuned_squad_accelera
+date: 2023-11-14
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-accelerate` is a English model originally trained by `Nausheen`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_nausheen_finetuned_squad_accelera_en_5.2.0_3.0_1700005481407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_nausheen_finetuned_squad_accelera_en_5.2.0_3.0_1700005481407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_nausheen_finetuned_squad_accelera","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_nausheen_finetuned_squad_accelera","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned.by_Nausheen").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_nausheen_finetuned_squad_accelera|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Nausheen/bert-finetuned-squad-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_neuralmind_base_portuguese_squad_pt.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_neuralmind_base_portuguese_squad_pt.md
new file mode 100644
index 000000000000..0a4a9bd179db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_neuralmind_base_portuguese_squad_pt.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Portuguese BertForQuestionAnswering Base Cased model (from p2o)
+author: John Snow Labs
+name: bert_qa_neuralmind_base_portuguese_squad
+date: 2023-11-14
+tags: [pt, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: pt
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `neuralmind-bert-base-portuguese-squad` is a Portuguese model originally trained by `p2o`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_neuralmind_base_portuguese_squad_pt_5.2.0_3.0_1700005781942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_neuralmind_base_portuguese_squad_pt_5.2.0_3.0_1700005781942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_neuralmind_base_portuguese_squad","pt")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_neuralmind_base_portuguese_squad","pt")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_neuralmind_base_portuguese_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|pt|
+|Size:|405.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/p2o/neuralmind-bert-base-portuguese-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-14-bert_qa_ofirzaf_bert_large_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_ofirzaf_bert_large_uncased_squad_en.md
new file mode 100644
index 000000000000..7b87797cf00e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-14-bert_qa_ofirzaf_bert_large_uncased_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ofirzaf)
+author: John Snow Labs
+name: bert_qa_ofirzaf_bert_large_uncased_squad
+date: 2023-11-14
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-squad` is a English model orginally trained by `ofirzaf`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ofirzaf_bert_large_uncased_squad_en_5.2.0_3.0_1700006266704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ofirzaf_bert_large_uncased_squad_en_5.2.0_3.0_1700006266704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_ofirzaf_bert_large_uncased_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_ofirzaf_bert_large_uncased_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.large_uncased.by_ofirzaf").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ofirzaf_bert_large_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ofirzaf/bert-large-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_multilingual_cased_finetuned_viquad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_multilingual_cased_finetuned_viquad_en.md
new file mode 100644
index 000000000000..7e94fb527211
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_multilingual_cased_finetuned_viquad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from Khanh)
+author: John Snow Labs
+name: bert_qa_base_multilingual_cased_finetuned_viquad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned-viquad` is a English model originally trained by `Khanh`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_cased_finetuned_viquad_en_5.2.0_3.0_1700058664073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_cased_finetuned_viquad_en_5.2.0_3.0_1700058664073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_cased_finetuned_viquad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_cased_finetuned_viquad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.cased_multilingual_base_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multilingual_cased_finetuned_viquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Khanh/bert-base-multilingual-cased-finetuned-viquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_multilingual_cased_finetuned_xx.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_multilingual_cased_finetuned_xx.md
new file mode 100644
index 000000000000..2c2b8e9f89c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_multilingual_cased_finetuned_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Base Cased model (from obokkkk)
+author: John Snow Labs
+name: bert_qa_base_multilingual_cased_finetuned
+date: 2023-11-15
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned` is a Multilingual model originally trained by `obokkkk`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_cased_finetuned_xx_5.2.0_3.0_1700058641683.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_cased_finetuned_xx_5.2.0_3.0_1700058641683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_cased_finetuned","xx")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_cased_finetuned","xx")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multilingual_cased_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/obokkkk/bert-base-multilingual-cased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_multilingual_uncased_finetuned_squadv2_xx.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_multilingual_uncased_finetuned_squadv2_xx.md
new file mode 100644
index 000000000000..bbbb2d08769c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_multilingual_uncased_finetuned_squadv2_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Base Uncased model (from khoanvm)
+author: John Snow Labs
+name: bert_qa_base_multilingual_uncased_finetuned_squadv2
+date: 2023-11-15
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-uncased-finetuned-squadv2` is a Multilingual model originally trained by `khoanvm`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_finetuned_squadv2_xx_5.2.0_3.0_1700059023790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_multilingual_uncased_finetuned_squadv2_xx_5.2.0_3.0_1700059023790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_finetuned_squadv2","xx")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_multilingual_uncased_finetuned_squadv2","xx")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_multilingual_uncased_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|625.5 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/khoanvm/bert-base-multilingual-uncased-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_nnish_cased_squad1_fi.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_nnish_cased_squad1_fi.md
new file mode 100644
index 000000000000..1be2a525bc4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_nnish_cased_squad1_fi.md
@@ -0,0 +1,96 @@
+---
+layout: model
+title: Finnish BertForQuestionAnswering Base Cased model (from ilmariky)
+author: John Snow Labs
+name: bert_qa_base_nnish_cased_squad1
+date: 2023-11-15
+tags: [fi, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fi
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-finnish-cased-squad1-fi` is a Finnish model originally trained by `ilmariky`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_nnish_cased_squad1_fi_5.2.0_3.0_1700058973995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_nnish_cased_squad1_fi_5.2.0_3.0_1700058973995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_nnish_cased_squad1","fi")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_nnish_cased_squad1","fi")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_nnish_cased_squad1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fi|
+|Size:|464.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ilmariky/bert-base-finnish-cased-squad1-fi
+- https://github.com/google-research-datasets/tydiqa
+- https://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_parsquad_fa.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_parsquad_fa.md
new file mode 100644
index 000000000000..b31cf443f85f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_parsquad_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mohsenfayyaz)
+author: John Snow Labs
+name: bert_qa_base_pars_uncased_parsquad
+date: 2023-11-15
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased_parsquad` is a Persian model originally trained by `mohsenfayyaz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_parsquad_fa_5.2.0_3.0_1700059423764.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_parsquad_fa_5.2.0_3.0_1700059423764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_parsquad","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_parsquad","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_pars_uncased_parsquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mohsenfayyaz/bert-base-parsbert-uncased_parsquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_pquad_1epoch_fa.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_pquad_1epoch_fa.md
new file mode 100644
index 000000000000..104033122180
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_pquad_1epoch_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mohsenfayyaz)
+author: John Snow Labs
+name: bert_qa_base_pars_uncased_pquad_1epoch
+date: 2023-11-15
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased_pquad_1epoch` is a Persian model originally trained by `mohsenfayyaz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_1epoch_fa_5.2.0_3.0_1700059740761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_1epoch_fa_5.2.0_3.0_1700059740761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad_1epoch","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad_1epoch","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_pars_uncased_pquad_1epoch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mohsenfayyaz/bert-base-parsbert-uncased_pquad_1epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_pquad_fa.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_pquad_fa.md
new file mode 100644
index 000000000000..08080f3c56b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_pquad_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mohsenfayyaz)
+author: John Snow Labs
+name: bert_qa_base_pars_uncased_pquad
+date: 2023-11-15
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased_pquad` is a Persian model originally trained by `mohsenfayyaz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_fa_5.2.0_3.0_1700058636687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_fa_5.2.0_3.0_1700058636687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_pars_uncased_pquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mohsenfayyaz/bert-base-parsbert-uncased_pquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_pquad_lr1e_5_fa.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_pquad_lr1e_5_fa.md
new file mode 100644
index 000000000000..99a2e56652a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_pars_uncased_pquad_lr1e_5_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mohsenfayyaz)
+author: John Snow Labs
+name: bert_qa_base_pars_uncased_pquad_lr1e_5
+date: 2023-11-15
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased_pquad_lr1e-5` is a Persian model originally trained by `mohsenfayyaz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_lr1e_5_fa_5.2.0_3.0_1700060064612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_pars_uncased_pquad_lr1e_5_fa_5.2.0_3.0_1700060064612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad_lr1e_5","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_base_pars_uncased_pquad_lr1e_5","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_pars_uncased_pquad_lr1e_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mohsenfayyaz/bert-base-parsbert-uncased_pquad_lr1e-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_parsbert_uncased_finetuned_squad_fa.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_parsbert_uncased_finetuned_squad_fa.md
new file mode 100644
index 000000000000..c50eca460165
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_parsbert_uncased_finetuned_squad_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Base Uncased model (from mhmsadegh)
+author: John Snow Labs
+name: bert_qa_base_parsbert_uncased_finetuned_squad
+date: 2023-11-15
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-parsbert-uncased-finetuned-squad` is a Persian model originally trained by `mhmsadegh`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_parsbert_uncased_finetuned_squad_fa_5.2.0_3.0_1700058633009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_parsbert_uncased_finetuned_squad_fa_5.2.0_3.0_1700058633009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_parsbert_uncased_finetuned_squad","fa") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_parsbert_uncased_finetuned_squad","fa")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_parsbert_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mhmsadegh/bert-base-parsbert-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1_tr.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1_tr.md
new file mode 100644
index 000000000000..c1cd39c000ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering Base Cased model (from husnu)
+author: John Snow Labs
+name: bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1
+date: 2023-11-15
+tags: [tr, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-1` is a Turkish model originally trained by `husnu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1_tr_5.2.0_3.0_1700060421173.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1_tr_5.2.0_3.0_1700060421173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1","tr") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1","tr")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|688.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/husnu/bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3_tr.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3_tr.md
new file mode 100644
index 000000000000..6782fd8356d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering Base Cased model (from husnu)
+author: John Snow Labs
+name: bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3
+date: 2023-11-15
+tags: [tr, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-3` is a Turkish model originally trained by `husnu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3_tr_5.2.0_3.0_1700059056675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3_tr_5.2.0_3.0_1700059056675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3","tr") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3","tr")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_turkish_128k_cased_tquad2_finetuned_lr_2e_05_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|688.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/husnu/bert-base-turkish-128k-cased-finetuned_lr-2e-05_epochs-3TQUAD2-finetuned_lr-2e-05_epochs-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..1c4e851167f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-128-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2_en_5.2.0_3.0_1700060723604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2_en_5.2.0_3.0_1700060723604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_2_base_128d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_128_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-128-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..8b0e30d7014b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-16-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2_en_5.2.0_3.0_1700058534351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2_en_5.2.0_3.0_1700058534351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_2_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_16_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-16-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..06bd72f330f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-32-finetuned-squad-seed-8` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8_en_5.2.0_3.0_1700058852386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8_en_5.2.0_3.0_1700058852386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_8_base_32d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_32_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-32-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..212e326ccaed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-few-shot-k-64-finetuned-squad-seed-4` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4_en_5.2.0_3.0_1700058924705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4_en_5.2.0_3.0_1700058924705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_seed_4_base_64d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_few_shot_k_64_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-base-uncased-few-shot-k-64-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_pretrain_finetuned_coqa_falttened_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_pretrain_finetuned_coqa_falttened_en.md
new file mode 100644
index 000000000000..94e76549a838
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_base_uncased_pretrain_finetuned_coqa_falttened_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from alistvt)
+author: John Snow Labs
+name: bert_qa_base_uncased_pretrain_finetuned_coqa_falttened
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-pretrain-finetuned-coqa-falttened` is a English model originally trained by `alistvt`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_pretrain_finetuned_coqa_falttened_en_5.2.0_3.0_1700059206672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_base_uncased_pretrain_finetuned_coqa_falttened_en_5.2.0_3.0_1700059206672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_pretrain_finetuned_coqa_falttened","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_base_uncased_pretrain_finetuned_coqa_falttened","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.uncased_base_finetuned.by_alistvt").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_base_uncased_pretrain_finetuned_coqa_falttened|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/alistvt/bert-base-uncased-pretrain-finetuned-coqa-falttened
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bdickson_bert_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bdickson_bert_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..17a76e335616
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bdickson_bert_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from bdickson)
+author: John Snow Labs
+name: bert_qa_bdickson_bert_base_uncased_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-squad` is a English model orginally trained by `bdickson`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bdickson_bert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700061010787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bdickson_bert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700061010787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bdickson_bert_base_uncased_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bdickson_bert_base_uncased_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased.by_bdickson").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bdickson_bert_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bdickson/bert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_en.md
new file mode 100644
index 000000000000..9e4f59fdbb84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_bert_all
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-all` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_en_5.2.0_3.0_1700059293524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_en_5.2.0_3.0_1700059293524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_all","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_all","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.tydiqa.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_squad_all_translated_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_squad_all_translated_en.md
new file mode 100644
index 000000000000..1da871f80432
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_squad_all_translated_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_bert_all_squad_all_translated
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-all-squad_all_translated` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_all_translated_en_5.2.0_3.0_1700059641983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_all_translated_en_5.2.0_3.0_1700059641983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_all_squad_all_translated","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_all_squad_all_translated","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad_translated.bert.by_krinal214").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_all_squad_all_translated|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-all-squad_all_translated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_squad_ben_tel_context_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_squad_ben_tel_context_en.md
new file mode 100644
index 000000000000..c9a7bfeac9aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_squad_ben_tel_context_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_bert_all_squad_ben_tel_context
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-all-squad_ben_tel_context` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_ben_tel_context_en_5.2.0_3.0_1700059176175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_ben_tel_context_en_5.2.0_3.0_1700059176175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_all_squad_ben_tel_context","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_all_squad_ben_tel_context","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad_ben_tel.bert.by_krinal214").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_all_squad_ben_tel_context|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-all-squad_ben_tel_context
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_squad_que_translated_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_squad_que_translated_en.md
new file mode 100644
index 000000000000..379dda9a1705
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_squad_que_translated_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_bert_all_squad_que_translated
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-all-squad_que_translated` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_que_translated_en_5.2.0_3.0_1700061367686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_squad_que_translated_en_5.2.0_3.0_1700061367686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_all_squad_que_translated","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_all_squad_que_translated","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad_translated.bert.que.by_krinal214").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_all_squad_que_translated|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-all-squad_que_translated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_translated_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_translated_en.md
new file mode 100644
index 000000000000..4e140ac10533
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_all_translated_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_bert_all_translated
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-all-translated` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_translated_en_5.2.0_3.0_1700059452244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_all_translated_en_5.2.0_3.0_1700059452244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_all_translated","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_all_translated","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_krinal214").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_all_translated|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/bert-all-translated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_2048_full_trivia_copied_embeddings_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_2048_full_trivia_copied_embeddings_en.md
new file mode 100644
index 000000000000..1f7fef1dae86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_2048_full_trivia_copied_embeddings_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from MrAnderson)
+author: John Snow Labs
+name: bert_qa_bert_base_2048_full_trivia_copied_embeddings
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-2048-full-trivia-copied-embeddings` is a English model orginally trained by `MrAnderson`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_2048_full_trivia_copied_embeddings_en_5.2.0_3.0_1700061631557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_2048_full_trivia_copied_embeddings_en_5.2.0_3.0_1700061631557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_2048_full_trivia_copied_embeddings","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_2048_full_trivia_copied_embeddings","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.trivia.bert.base_2048.by_MrAnderson").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_2048_full_trivia_copied_embeddings|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|411.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MrAnderson/bert-base-2048-full-trivia-copied-embeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_cased_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_cased_chaii_en.md
new file mode 100644
index 000000000000..b785051d9818
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_cased_chaii_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_base_cased_chaii
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-chaii` is a English model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_cased_chaii_en_5.2.0_3.0_1700059727653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_cased_chaii_en_5.2.0_3.0_1700059727653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_cased_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_cased_chaii","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.bert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_cased_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-base-cased-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_faquad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_faquad_en.md
new file mode 100644
index 000000000000..b2309b202800
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_faquad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ricardo-filho)
+author: John Snow Labs
+name: bert_qa_bert_base_faquad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert_base_faquad` is a English model orginally trained by `ricardo-filho`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_faquad_en_5.2.0_3.0_1700059918542.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_faquad_en_5.2.0_3.0_1700059918542.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_faquad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_faquad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_faquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|405.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ricardo-filho/bert_base_faquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_finetune_qa_th.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_finetune_qa_th.md
new file mode 100644
index 000000000000..b94f2ab8cd78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_finetune_qa_th.md
@@ -0,0 +1,110 @@
+---
+layout: model
+title: Thai BertForQuestionAnswering model (from airesearch)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_cased_finetune_qa
+date: 2023-11-15
+tags: [th, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: th
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetune-qa` is a Thai model orginally trained by `airesearch`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetune_qa_th_5.2.0_3.0_1700059563752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetune_qa_th_5.2.0_3.0_1700059563752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_cased_finetune_qa","th") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_cased_finetune_qa","th")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("th.answer_question.bert.multilingual_base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_cased_finetune_qa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|th|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/airesearch/bert-base-multilingual-cased-finetune-qa
+- https://github.com/vistec-AI/thai2transformers/blob/dev/scripts/downstream/train_question_answering_lm_finetuning.py
+- https://wandb.ai/cstorm125/wangchanberta-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_finetuned_chaii_ta.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_finetuned_chaii_ta.md
new file mode 100644
index 000000000000..e2314f5e6a17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_finetuned_chaii_ta.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Tamil BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_cased_finetuned_chaii
+date: 2023-11-15
+tags: [open_source, question_answering, bert, ta, onnx]
+task: Question Answering
+language: ta
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned-chaii` is a Tamil model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetuned_chaii_ta_5.2.0_3.0_1700059545429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetuned_chaii_ta_5.2.0_3.0_1700059545429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_cased_finetuned_chaii","ta") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_cased_finetuned_chaii","ta")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ta.answer_question.chaii.bert.multilingual_base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_cased_finetuned_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ta|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-base-multilingual-cased-finetuned-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_finetuned_klue_ko.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_finetuned_klue_ko.md
new file mode 100644
index 000000000000..fe5d082c26ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_finetuned_klue_ko.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering model (from obokkkk)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_cased_finetuned_klue
+date: 2023-11-15
+tags: [open_source, question_answering, bert, ko, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned-klue` is a Korean model orginally trained by `obokkkk`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetuned_klue_ko_5.2.0_3.0_1700060100566.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_finetuned_klue_ko_5.2.0_3.0_1700060100566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_cased_finetuned_klue","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_cased_finetuned_klue","ko")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.klue.bert.multilingual_base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_cased_finetuned_klue|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/obokkkk/bert-base-multilingual-cased-finetuned-klue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_korquad_ko.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_korquad_ko.md
new file mode 100644
index 000000000000..fae9a84c7b30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_korquad_ko.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering model (from sangrimlee)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_cased_korquad
+date: 2023-11-15
+tags: [open_source, question_answering, bert, ko, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-korquad` is a Korean model orginally trained by `sangrimlee`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_korquad_ko_5.2.0_3.0_1700060305908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_korquad_ko_5.2.0_3.0_1700060305908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_cased_korquad","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_cased_korquad","ko")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.korquad.bert.multilingual_base_cased.by_sangrimlee").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_cased_korquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sangrimlee/bert-base-multilingual-cased-korquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_korquad_v1_ko.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_korquad_v1_ko.md
new file mode 100644
index 000000000000..93bd3a5f8018
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_cased_korquad_v1_ko.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering model (from eliza-dukim)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_cased_korquad_v1
+date: 2023-11-15
+tags: [open_source, question_answering, bert, ko, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased_korquad-v1` is a Korean model orginally trained by `eliza-dukim`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_korquad_v1_ko_5.2.0_3.0_1700060432159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_cased_korquad_v1_ko_5.2.0_3.0_1700060432159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_cased_korquad_v1","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_cased_korquad_v1","ko")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.korquad.bert.multilingual_base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_cased_korquad_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/eliza-dukim/bert-base-multilingual-cased_korquad-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_xquad_xx.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_xquad_xx.md
new file mode 100644
index 000000000000..8fb375399347
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_multilingual_xquad_xx.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering model (from alon-albalak)
+author: John Snow Labs
+name: bert_qa_bert_base_multilingual_xquad
+date: 2023-11-15
+tags: [open_source, question_answering, bert, xx, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-xquad` is a Multilingual model orginally trained by `alon-albalak`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_xquad_xx_5.2.0_3.0_1700060659109.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_multilingual_xquad_xx_5.2.0_3.0_1700060659109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_multilingual_xquad","xx") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_multilingual_xquad","xx")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("xx.answer_question.xquad.bert.multilingual_base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_multilingual_xquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|625.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/alon-albalak/bert-base-multilingual-xquad
+- https://github.com/deepmind/xquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa_es.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa_es.md
new file mode 100644
index 000000000000..319f983b4e15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa_es.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Castilian, Spanish BertForQuestionAnswering model (from CenIA)
+author: John Snow Labs
+name: bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa
+date: 2023-11-15
+tags: [open_source, question_answering, bert, es, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-spanish-wwm-cased-finetuned-qa-mlqa` is a Castilian, Spanish model orginally trained by `CenIA`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa_es_5.2.0_3.0_1700060933708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa_es_5.2.0_3.0_1700060933708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa","es")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.mlqa.bert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_mlqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/CenIA/bert-base-spanish-wwm-cased-finetuned-qa-mlqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac_es.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac_es.md
new file mode 100644
index 000000000000..5dcea721431a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac_es.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Castilian, Spanish BertForQuestionAnswering model (from CenIA)
+author: John Snow Labs
+name: bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac
+date: 2023-11-15
+tags: [open_source, question_answering, bert, es, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-spanish-wwm-cased-finetuned-qa-sqac` is a Castilian, Spanish model orginally trained by `CenIA`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac_es_5.2.0_3.0_1700059818270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac_es_5.2.0_3.0_1700059818270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac","es")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.sqac.bert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_spanish_wwm_cased_finetuned_qa_sqac|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/CenIA/bert-base-spanish-wwm-cased-finetuned-qa-sqac
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3_tr.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3_tr.md
new file mode 100644
index 000000000000..3622d66291aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3_tr.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering model (from husnu)
+author: John Snow Labs
+name: bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3
+date: 2023-11-15
+tags: [open_source, question_answering, bert, tr, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-turkish-cased-finetuned_lr-2e-05_epochs-3` is a Turkish model orginally trained by `husnu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3_tr_5.2.0_3.0_1700060105366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3_tr_5.2.0_3.0_1700060105366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3","tr") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3","tr")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("tr.answer_question.bert.base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_turkish_cased_finetuned_lr_2e_05_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|tr|
+|Size:|412.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/husnu/bert-base-turkish-cased-finetuned_lr-2e-05_epochs-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_uncased_coqa_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_uncased_coqa_en.md
new file mode 100644
index 000000000000..3ef3e5f157d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_uncased_coqa_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from peggyhuang)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_coqa
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-coqa` is a English model orginally trained by `peggyhuang`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_coqa_en_5.2.0_3.0_1700061211300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_coqa_en_5.2.0_3.0_1700061211300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_coqa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_coqa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_coqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/peggyhuang/bert-base-uncased-coqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_uncased_squad2_covid_qa_deepset_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_uncased_squad2_covid_qa_deepset_en.md
new file mode 100644
index 000000000000..7ed52bfb2b4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_base_uncased_squad2_covid_qa_deepset_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from armageddon)
+author: John Snow Labs
+name: bert_qa_bert_base_uncased_squad2_covid_qa_deepset
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-squad2-covid-qa-deepset` is a English model orginally trained by `armageddon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_squad2_covid_qa_deepset_en_5.2.0_3.0_1700059817938.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_base_uncased_squad2_covid_qa_deepset_en_5.2.0_3.0_1700059817938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_base_uncased_squad2_covid_qa_deepset","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_base_uncased_squad2_covid_qa_deepset","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_covid.bert.base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_base_uncased_squad2_covid_qa_deepset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/armageddon/bert-base-uncased-squad2-covid-qa-deepset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_finetuned_jackh1995_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_finetuned_jackh1995_en.md
new file mode 100644
index 000000000000..2972ffc17097
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_finetuned_jackh1995_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from jackh1995)
+author: John Snow Labs
+name: bert_qa_bert_finetuned_jackh1995
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned` is a English model orginally trained by `jackh1995`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_jackh1995_en_5.2.0_3.0_1700060719811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_jackh1995_en_5.2.0_3.0_1700060719811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_finetuned_jackh1995","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_finetuned_jackh1995","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_jackh1995").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_finetuned_jackh1995|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|380.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jackh1995/bert-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_finetuned_lr2_e5_b16_ep2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_finetuned_lr2_e5_b16_ep2_en.md
new file mode 100644
index 000000000000..be38585f77da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_finetuned_lr2_e5_b16_ep2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from motiondew)
+author: John Snow Labs
+name: bert_qa_bert_finetuned_lr2_e5_b16_ep2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-lr2-e5-b16-ep2` is a English model orginally trained by `motiondew`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_lr2_e5_b16_ep2_en_5.2.0_3.0_1700061010799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_finetuned_lr2_e5_b16_ep2_en_5.2.0_3.0_1700061010799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_finetuned_lr2_e5_b16_ep2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_finetuned_lr2_e5_b16_ep2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_motiondew").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_finetuned_lr2_e5_b16_ep2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/motiondew/bert-finetuned-lr2-e5-b16-ep2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_l_squadv1.1_sl256_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_l_squadv1.1_sl256_en.md
new file mode 100644
index 000000000000..af68cdbbb6a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_l_squadv1.1_sl256_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from vuiseng9)
+author: John Snow Labs
+name: bert_qa_bert_l_squadv1.1_sl256
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-l-squadv1.1-sl256` is a English model orginally trained by `vuiseng9`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_l_squadv1.1_sl256_en_5.2.0_3.0_1700061732088.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_l_squadv1.1_sl256_en_5.2.0_3.0_1700061732088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_l_squadv1.1_sl256","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_l_squadv1.1_sl256","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.sl256.by_vuiseng9").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_l_squadv1.1_sl256|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vuiseng9/bert-l-squadv1.1-sl256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_l_squadv1.1_sl384_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_l_squadv1.1_sl384_en.md
new file mode 100644
index 000000000000..54c679cb71dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_l_squadv1.1_sl384_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from vuiseng9)
+author: John Snow Labs
+name: bert_qa_bert_l_squadv1.1_sl384
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-l-squadv1.1-sl384` is a English model orginally trained by `vuiseng9`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_l_squadv1.1_sl384_en_5.2.0_3.0_1700062421907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_l_squadv1.1_sl384_en_5.2.0_3.0_1700062421907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_l_squadv1.1_sl384","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_l_squadv1.1_sl384","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.sl384.by_vuiseng9").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_l_squadv1.1_sl384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vuiseng9/bert-l-squadv1.1-sl384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_faquad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_faquad_en.md
new file mode 100644
index 000000000000..16eae79e99df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_faquad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ricardo-filho)
+author: John Snow Labs
+name: bert_qa_bert_large_faquad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert_large_faquad` is a English model orginally trained by `ricardo-filho`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_faquad_en_5.2.0_3.0_1700062980803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_faquad_en_5.2.0_3.0_1700062980803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_faquad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_faquad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.large.by_ricardo-filho").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_faquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ricardo-filho/bert_large_faquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_finetuned_docvqa_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_finetuned_docvqa_en.md
new file mode 100644
index 000000000000..c7a148568b92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_finetuned_docvqa_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from tiennvcs)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_finetuned_docvqa
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-finetuned-docvqa` is a English model orginally trained by `tiennvcs`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_finetuned_docvqa_en_5.2.0_3.0_1700062342574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_finetuned_docvqa_en_5.2.0_3.0_1700062342574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_finetuned_docvqa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_finetuned_docvqa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.large_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_finetuned_docvqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tiennvcs/bert-large-uncased-finetuned-docvqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_squad2_covid_qa_deepset_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_squad2_covid_qa_deepset_en.md
new file mode 100644
index 000000000000..5d66bcd0b1d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_squad2_covid_qa_deepset_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from armageddon)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_squad2_covid_qa_deepset
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-squad2-covid-qa-deepset` is a English model orginally trained by `armageddon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squad2_covid_qa_deepset_en_5.2.0_3.0_1700060388720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squad2_covid_qa_deepset_en_5.2.0_3.0_1700060388720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_squad2_covid_qa_deepset","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_squad2_covid_qa_deepset","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_covid.bert.large_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_squad2_covid_qa_deepset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/armageddon/bert-large-uncased-squad2-covid-qa-deepset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en.md
new file mode 100644
index 000000000000..c73276c9e15a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en.md
@@ -0,0 +1,110 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from Intel)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-squadv1.1-sparse-80-1x4-block-pruneofa` is a English model orginally trained by `Intel`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en_5.2.0_3.0_1700060896462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa_en_5.2.0_3.0_1700060896462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.large_uncased_sparse_80_1x4_block_pruneofa.by_Intel").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_squadv1.1_sparse_80_1x4_block_pruneofa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|436.9 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Intel/bert-large-uncased-squadv1.1-sparse-80-1x4-block-pruneofa
+- https://arxiv.org/abs/2111.05754
+- https://github.com/IntelLabs/Model-Compression-Research-Package/tree/main/research/prune-once-for-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_squadv2_en.md
new file mode 100644
index 000000000000..1de5303da08f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_squadv2_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from madlag)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_squadv2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-squadv2` is a English model orginally trained by `madlag`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squadv2_en_5.2.0_3.0_1700061553399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_squadv2_en_5.2.0_3.0_1700061553399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.large_uncased_v2.by_madlag").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/madlag/bert-large-uncased-squadv2
+- https://arxiv.org/pdf/1810.04805v2.pdf%5D
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_chaii_en.md
new file mode 100644
index 000000000000..63dde9a6bf33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_chaii_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_whole_word_masking_chaii
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-whole-word-masking-chaii` is a English model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_chaii_en_5.2.0_3.0_1700062243886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_chaii_en_5.2.0_3.0_1700062243886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_whole_word_masking_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_whole_word_masking_chaii","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.bert.large_uncased_uncased_whole_word_masking.by_SauravMaheshkar").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_whole_word_masking_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-large-uncased-whole-word-masking-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii_en.md
new file mode 100644
index 000000000000..5b6dc827f5da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-whole-word-masking-finetuned-chaii` is a English model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii_en_5.2.0_3.0_1700062797772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii_en_5.2.0_3.0_1700062797772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.bert.large_uncased_uncased_whole_word_masking_finetuned.by_SauravMaheshkar").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_whole_word_masking_finetuned_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-large-uncased-whole-word-masking-finetuned-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad_en.md
new file mode 100644
index 000000000000..40bbc9e1f22a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from haddadalwi)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-islamic-squad` is a English model orginally trained by `haddadalwi`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad_en_5.2.0_3.0_1700062882246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad_en_5.2.0_3.0_1700062882246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.large_uncased.by_haddadalwi").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_whole_word_masking_finetuned_squad_finetuned_islamic_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/haddadalwi/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-islamic-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..13c4d7d0defe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from madlag)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-whole-word-masking-finetuned-squadv2` is a English model orginally trained by `madlag`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2_en_5.2.0_3.0_1700063498100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2_en_5.2.0_3.0_1700063498100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.large_uncased_whole_word_masking_v2.by_madlag").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_whole_word_masking_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/madlag/bert-large-uncased-whole-word-masking-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_squad2_en.md
new file mode 100644
index 000000000000..726df0b42269
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_large_uncased_whole_word_masking_squad2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from deepset)
+author: John Snow Labs
+name: bert_qa_bert_large_uncased_whole_word_masking_squad2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-whole-word-masking-squad2` is a English model orginally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_squad2_en_5.2.0_3.0_1700060629483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_large_uncased_whole_word_masking_squad2_en_5.2.0_3.0_1700060629483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_large_uncased_whole_word_masking_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_large_uncased_whole_word_masking_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.large_uncased.by_deepset").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_large_uncased_whole_word_masking_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepset/bert-large-uncased-whole-word-masking-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp_xx.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp_xx.md
new file mode 100644
index 000000000000..1ebde69b795a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp_xx.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp
+date: 2023-11-15
+tags: [te, en, open_source, question_answering, bert, xx, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-multi-cased-finedtuned-xquad-tydiqa-goldp` is a Multilingual model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp_xx_5.2.0_3.0_1700063247297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp_xx_5.2.0_3.0_1700063247297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp","xx") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp","xx")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("xx.answer_question.xquad_tydiqa.bert.cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_multi_cased_finedtuned_xquad_tydiqa_goldp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/bert-multi-cased-finedtuned-xquad-tydiqa-goldp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_cased_finetuned_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_cased_finetuned_chaii_en.md
new file mode 100644
index 000000000000..c7c5e50fe633
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_cased_finetuned_chaii_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: bert_qa_bert_multi_cased_finetuned_chaii
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-multi-cased-finetuned-chaii` is a English model orginally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finetuned_chaii_en_5.2.0_3.0_1700063164747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finetuned_chaii_en_5.2.0_3.0_1700063164747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_multi_cased_finetuned_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_multi_cased_finetuned_chaii","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.bert.cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_multi_cased_finetuned_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/bert-multi-cased-finetuned-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab_en.md
new file mode 100644
index 000000000000..0c281bcb536c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from TingChenChang)
+author: John Snow Labs
+name: bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-multi-cased-finetuned-xquadv1-finetuned-squad-colab` is a English model orginally trained by `TingChenChang`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab_en_5.2.0_3.0_1700063606759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab_en_5.2.0_3.0_1700063606759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.xquad_squad.bert.cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_multi_cased_finetuned_xquadv1_finetuned_squad_colab|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/TingChenChang/bert-multi-cased-finetuned-xquadv1-finetuned-squad-colab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_english_german_squad2_de.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_english_german_squad2_de.md
new file mode 100644
index 000000000000..2233512e1902
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_multi_english_german_squad2_de.md
@@ -0,0 +1,110 @@
+---
+layout: model
+title: German BertForQuestionAnswering model (from deutsche-telekom)
+author: John Snow Labs
+name: bert_qa_bert_multi_english_german_squad2
+date: 2023-11-15
+tags: [de, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-multi-english-german-squad2` is a German model orginally trained by `deutsche-telekom`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_english_german_squad2_de_5.2.0_3.0_1700060982961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_multi_english_german_squad2_de_5.2.0_3.0_1700060982961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bert_multi_english_german_squad2","de") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bert_multi_english_german_squad2","de")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("de.answer_question.squadv2.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_multi_english_german_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|de|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deutsche-telekom/bert-multi-english-german-squad2
+- https://rajpurkar.github.io/SQuAD-explorer/
+- https://github.com/google-research/bert/blob/master/multilingual.md
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_en.md
new file mode 100644
index 000000000000..8bb795364055
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2 BertForQuestionAnswering from aodiniz
+author: John Snow Labs
+name: bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2
+date: 2023-11-15
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2` is a English model originally trained by aodiniz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_en_5.2.0_3.0_1700063358643.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bert_uncased_l_10_h_512_a_8_cord19_200616_squad2_en_5.2.0_3.0_1700063358643.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bert_uncased_l_4_h_512_a_8_cord19_200616_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|106.9 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/aodiniz/bert_uncased_L-4_H-512_A-8_cord19-200616_squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bertfast_01_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bertfast_01_en.md
new file mode 100644
index 000000000000..5c84066b3a08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bertfast_01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from JAlexis)
+author: John Snow Labs
+name: bert_qa_bertfast_01
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bertFast_01` is a English model originally trained by `JAlexis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bertfast_01_en_5.2.0_3.0_1700061584041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bertfast_01_en_5.2.0_3.0_1700061584041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bertfast_01","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_bertfast_01","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bertfast_01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/JAlexis/bertFast_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bertimbau_squad1.1_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bertimbau_squad1.1_en.md
new file mode 100644
index 000000000000..bb343a2af856
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bertimbau_squad1.1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from hendrixcosta)
+author: John Snow Labs
+name: bert_qa_bertimbau_squad1.1
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bertimbau-squad1.1` is a English model orginally trained by `hendrixcosta`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bertimbau_squad1.1_en_5.2.0_3.0_1700062328092.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bertimbau_squad1.1_en_5.2.0_3.0_1700062328092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bertimbau_squad1.1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bertimbau_squad1.1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_hendrixcosta").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bertimbau_squad1.1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/hendrixcosta/bertimbau-squad1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bertserini_bert_large_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bertserini_bert_large_squad_en.md
new file mode 100644
index 000000000000..49a6e71f334a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_bertserini_bert_large_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from rsvp-ai)
+author: John Snow Labs
+name: bert_qa_bertserini_bert_large_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bertserini-bert-large-squad` is a English model orginally trained by `rsvp-ai`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_bertserini_bert_large_squad_en_5.2.0_3.0_1700064063590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_bertserini_bert_large_squad_en_5.2.0_3.0_1700064063590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_bertserini_bert_large_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_bertserini_bert_large_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.large.by_rsvp-ai").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_bertserini_bert_large_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/rsvp-ai/bertserini-bert-large-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_beto_base_spanish_sqac_es.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_beto_base_spanish_sqac_es.md
new file mode 100644
index 000000000000..7298a72104e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_beto_base_spanish_sqac_es.md
@@ -0,0 +1,112 @@
+---
+layout: model
+title: Spanish BertForQuestionAnswering model (from IIC)
+author: John Snow Labs
+name: bert_qa_beto_base_spanish_sqac
+date: 2023-11-15
+tags: [es, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `beto-base-spanish-sqac` is a Spanish model orginally trained by `IIC`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_beto_base_spanish_sqac_es_5.2.0_3.0_1700062655500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_beto_base_spanish_sqac_es_5.2.0_3.0_1700062655500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_beto_base_spanish_sqac","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_beto_base_spanish_sqac","es")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.sqac.bert.base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_beto_base_spanish_sqac|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|409.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/IIC/beto-base-spanish-sqac
+- https://paperswithcode.com/sota?task=question-answering&dataset=PlanTL-GOB-ES%2FSQAC
+- https://arxiv.org/abs/2107.07253
+- https://github.com/dccuchile/beto
+- https://www.bsc.es/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_biobertpt_squad_v1.1_portuguese_pt.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_biobertpt_squad_v1.1_portuguese_pt.md
new file mode 100644
index 000000000000..b3b73c5151a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_biobertpt_squad_v1.1_portuguese_pt.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: Portuguese bert_qa_biobertpt_squad_v1.1_portuguese BertForQuestionAnswering from pucpr
+author: John Snow Labs
+name: bert_qa_biobertpt_squad_v1.1_portuguese
+date: 2023-11-15
+tags: [bert, pt, open_source, question_answering, onnx]
+task: Question Answering
+language: pt
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_biobertpt_squad_v1.1_portuguese` is a Portuguese model originally trained by pucpr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biobertpt_squad_v1.1_portuguese_pt_5.2.0_3.0_1700061364212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biobertpt_squad_v1.1_portuguese_pt_5.2.0_3.0_1700061364212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biobertpt_squad_v1.1_portuguese|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|pt|
+|Size:|664.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/pucpr/bioBERTpt-squad-v1.1-portuguese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_biomedical_slot_filling_reader_base_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_biomedical_slot_filling_reader_base_en.md
new file mode 100644
index 000000000000..4af56e67551e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_biomedical_slot_filling_reader_base_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from healx)
+author: John Snow Labs
+name: bert_qa_biomedical_slot_filling_reader_base
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `biomedical-slot-filling-reader-base` is a English model orginally trained by `healx`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_biomedical_slot_filling_reader_base_en_5.2.0_3.0_1700061626085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_biomedical_slot_filling_reader_base_en_5.2.0_3.0_1700061626085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_biomedical_slot_filling_reader_base","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_biomedical_slot_filling_reader_base","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bio_medical.bert.base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_biomedical_slot_filling_reader_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/healx/biomedical-slot-filling-reader-base
+- https://arxiv.org/abs/2109.08564
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_burmese_model_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_burmese_model_en.md
new file mode 100644
index 000000000000..f745156e9025
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_burmese_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_burmese_model BertForQuestionAnswering from Shredder
+author: John Snow Labs
+name: bert_qa_burmese_model
+date: 2023-11-15
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_burmese_model` is a English model originally trained by Shredder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_burmese_model_en_5.2.0_3.0_1700008721426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_burmese_model_en_5.2.0_3.0_1700008721426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_burmese_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Shredder/My_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_dylan1999_finetuned_squad_accelerate_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_dylan1999_finetuned_squad_accelerate_en.md
new file mode 100644
index 000000000000..1a10af8ecf77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_dylan1999_finetuned_squad_accelerate_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Dylan1999)
+author: John Snow Labs
+name: bert_qa_dylan1999_finetuned_squad_accelerate
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-accelerate` is a English model originally trained by `Dylan1999`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_dylan1999_finetuned_squad_accelerate_en_5.2.0_3.0_1700006698837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_dylan1999_finetuned_squad_accelerate_en_5.2.0_3.0_1700006698837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_dylan1999_finetuned_squad_accelerate","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_dylan1999_finetuned_squad_accelerate","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_dylan1999_finetuned_squad_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Dylan1999/bert-finetuned-squad-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_fabianwillner_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_fabianwillner_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..d9393080c547
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_fabianwillner_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from FabianWillner)
+author: John Snow Labs
+name: bert_qa_fabianwillner_base_uncased_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-squad` is a English model originally trained by `FabianWillner`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_fabianwillner_base_uncased_finetuned_squad_en_5.2.0_3.0_1700007113810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_fabianwillner_base_uncased_finetuned_squad_en_5.2.0_3.0_1700007113810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_fabianwillner_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_fabianwillner_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_fabianwillner_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/FabianWillner/bert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_finetune_bert_base_v2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_finetune_bert_base_v2_en.md
new file mode 100644
index 000000000000..f2217b19f815
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_finetune_bert_base_v2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from peggyhuang)
+author: John Snow Labs
+name: bert_qa_finetune_bert_base_v2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `finetune-bert-base-v2` is a English model orginally trained by `peggyhuang`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_finetune_bert_base_v2_en_5.2.0_3.0_1700007361101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_finetune_bert_base_v2_en_5.2.0_3.0_1700007361101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_finetune_bert_base_v2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_finetune_bert_base_v2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.base_v2").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_finetune_bert_base_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/peggyhuang/finetune-bert-base-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_finetune_bert_base_v3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_finetune_bert_base_v3_en.md
new file mode 100644
index 000000000000..a51295841b71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_finetune_bert_base_v3_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from peggyhuang)
+author: John Snow Labs
+name: bert_qa_finetune_bert_base_v3
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `finetune-bert-base-v3` is a English model orginally trained by `peggyhuang`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_finetune_bert_base_v3_en_5.2.0_3.0_1700007635634.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_finetune_bert_base_v3_en_5.2.0_3.0_1700007635634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_finetune_bert_base_v3","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_finetune_bert_base_v3","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.base_v3.by_peggyhuang").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_finetune_bert_base_v3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/peggyhuang/finetune-bert-base-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_finetuned_custom_1_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_finetuned_custom_1_en.md
new file mode 100644
index 000000000000..5396a5841b4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_finetuned_custom_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from VedantS01)
+author: John Snow Labs
+name: bert_qa_finetuned_custom_1
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-custom-1` is a English model originally trained by `VedantS01`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_finetuned_custom_1_en_5.2.0_3.0_1700007920448.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_finetuned_custom_1_en_5.2.0_3.0_1700007920448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_finetuned_custom_1","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_finetuned_custom_1","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_finetuned_custom_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/VedantS01/bert-finetuned-custom-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_fpdm_bert_ft_newsqa_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_fpdm_bert_ft_newsqa_en.md
new file mode 100644
index 000000000000..391f61aa216e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_fpdm_bert_ft_newsqa_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_fpdm_bert_ft_newsqa BertForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: bert_qa_fpdm_bert_ft_newsqa
+date: 2023-11-15
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_fpdm_bert_ft_newsqa` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_fpdm_bert_ft_newsqa_en_5.2.0_3.0_1700008214320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_fpdm_bert_ft_newsqa_en_5.2.0_3.0_1700008214320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_fpdm_bert_ft_newsqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/AnonymousSub/fpdm_bert_FT_newsqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_fpdm_pert_sent_0.01_squad2.0_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_fpdm_pert_sent_0.01_squad2.0_en.md
new file mode 100644
index 000000000000..f315005649db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_fpdm_pert_sent_0.01_squad2.0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from AnonymousSub)
+author: John Snow Labs
+name: bert_qa_fpdm_pert_sent_0.01_squad2.0
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `fpdm_bert_pert_sent_0.01_squad2.0` is a English model originally trained by `AnonymousSub`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_fpdm_pert_sent_0.01_squad2.0_en_5.2.0_3.0_1700008478770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_fpdm_pert_sent_0.01_squad2.0_en_5.2.0_3.0_1700008478770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_fpdm_pert_sent_0.01_squad2.0","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_fpdm_pert_sent_0.01_squad2.0","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_fpdm_pert_sent_0.01_squad2.0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/AnonymousSub/fpdm_bert_pert_sent_0.01_squad2.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_howey_bert_large_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_howey_bert_large_uncased_squad_en.md
new file mode 100644
index 000000000000..3454e69377b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_howey_bert_large_uncased_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from howey)
+author: John Snow Labs
+name: bert_qa_howey_bert_large_uncased_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-squad` is a English model orginally trained by `howey`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_howey_bert_large_uncased_squad_en_5.2.0_3.0_1700006901799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_howey_bert_large_uncased_squad_en_5.2.0_3.0_1700006901799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_howey_bert_large_uncased_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_howey_bert_large_uncased_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.large_uncased.by_howey").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_howey_bert_large_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/howey/bert-large-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_hubert_fine_tuned_hungarian_squadv1_hu.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_hubert_fine_tuned_hungarian_squadv1_hu.md
new file mode 100644
index 000000000000..5bc11238850a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_hubert_fine_tuned_hungarian_squadv1_hu.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: Hungarian bert_qa_hubert_fine_tuned_hungarian_squadv1 BertForQuestionAnswering from mcsabai
+author: John Snow Labs
+name: bert_qa_hubert_fine_tuned_hungarian_squadv1
+date: 2023-11-15
+tags: [bert, hu, open_source, question_answering, onnx]
+task: Question Answering
+language: hu
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_hubert_fine_tuned_hungarian_squadv1` is a Hungarian model originally trained by mcsabai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_hubert_fine_tuned_hungarian_squadv1_hu_5.2.0_3.0_1700007175058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_hubert_fine_tuned_hungarian_squadv1_hu_5.2.0_3.0_1700007175058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_indo_base_indonesian_finetune_idk_mrc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|id|
+|Size:|464.2 MB|
+
+## References
+
+https://huggingface.co/rifkiaputri/indobert-base-id-finetune-idk-mrc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_indo_base_uncased_finetuned_tydi_indo_in.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_indo_base_uncased_finetuned_tydi_indo_in.md
new file mode 100644
index 000000000000..a8a56c8209cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_indo_base_uncased_finetuned_tydi_indo_in.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian BertForQuestionAnswering Base Uncased model (from jakartaresearch)
+author: John Snow Labs
+name: bert_qa_indo_base_uncased_finetuned_tydi_indo
+date: 2023-11-15
+tags: [in, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: in
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `indobert-base-uncased-finetuned-tydiqa-indoqa` is a Indonesian model originally trained by `jakartaresearch`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_indo_base_uncased_finetuned_tydi_indo_in_5.2.0_3.0_1700007414125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_indo_base_uncased_finetuned_tydi_indo_in_5.2.0_3.0_1700007414125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_indo_base_uncased_finetuned_tydi_indo","in")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_indo_base_uncased_finetuned_tydi_indo","in")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_indo_base_uncased_finetuned_tydi_indo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|in|
+|Size:|411.7 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jakartaresearch/indobert-base-uncased-finetuned-tydiqa-indoqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_indo_finetune_tydi_transfer_indo_in.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_indo_finetune_tydi_transfer_indo_in.md
new file mode 100644
index 000000000000..9ba70beb6022
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_indo_finetune_tydi_transfer_indo_in.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian BertForQuestionAnswering Cased model (from andreaschandra)
+author: John Snow Labs
+name: bert_qa_indo_finetune_tydi_transfer_indo
+date: 2023-11-15
+tags: [in, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: in
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `indobert-finetune-tydiqa-transfer-indoqa` is a Indonesian model originally trained by `andreaschandra`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_indo_finetune_tydi_transfer_indo_in_5.2.0_3.0_1700006631538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_indo_finetune_tydi_transfer_indo_in_5.2.0_3.0_1700006631538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_indo_finetune_tydi_transfer_indo","in")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_indo_finetune_tydi_transfer_indo","in")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_indo_finetune_tydi_transfer_indo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|in|
+|Size:|411.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/andreaschandra/indobert-finetune-tydiqa-transfer-indoqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_indo_finetuned_squad_id.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_indo_finetuned_squad_id.md
new file mode 100644
index 000000000000..a942b535a2aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_indo_finetuned_squad_id.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian BertForQuestionAnswering Cased model (from botika)
+author: John Snow Labs
+name: bert_qa_indo_finetuned_squad
+date: 2023-11-15
+tags: [id, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: id
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `Indobert-QA-finetuned-squad` is a Indonesian model originally trained by `botika`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_indo_finetuned_squad_id_5.2.0_3.0_1700008964605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_indo_finetuned_squad_id_5.2.0_3.0_1700008964605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_indo_finetuned_squad","id")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_indo_finetuned_squad","id")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_indo_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|id|
+|Size:|411.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/botika/Indobert-QA-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_internetoftim_bert_large_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_internetoftim_bert_large_uncased_squad_en.md
new file mode 100644
index 000000000000..9bf97784216c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_internetoftim_bert_large_uncased_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from internetoftim)
+author: John Snow Labs
+name: bert_qa_internetoftim_bert_large_uncased_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-uncased-squad` is a English model orginally trained by `internetoftim`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_internetoftim_bert_large_uncased_squad_en_5.2.0_3.0_1700007331979.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_internetoftim_bert_large_uncased_squad_en_5.2.0_3.0_1700007331979.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_internetoftim_bert_large_uncased_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_internetoftim_bert_large_uncased_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.large_uncased.by_internetoftim").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_internetoftim_bert_large_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|797.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/internetoftim/bert-large-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_irenelizihui_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_irenelizihui_finetuned_squad_en.md
new file mode 100644
index 000000000000..bee046bbcff5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_irenelizihui_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from irenelizihui)
+author: John Snow Labs
+name: bert_qa_irenelizihui_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `irenelizihui`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_irenelizihui_finetuned_squad_en_5.2.0_3.0_1700009279150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_irenelizihui_finetuned_squad_en_5.2.0_3.0_1700009279150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_irenelizihui_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_irenelizihui_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned.by_irenelizihui").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_irenelizihui_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/irenelizihui/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ixambert_finetuned_squad_basque_marcbrun_eu.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ixambert_finetuned_squad_basque_marcbrun_eu.md
new file mode 100644
index 000000000000..5dd42be70cbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ixambert_finetuned_squad_basque_marcbrun_eu.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Basque bert_qa_ixambert_finetuned_squad_basque_marcbrun BertForQuestionAnswering from MarcBrun
+author: John Snow Labs
+name: bert_qa_ixambert_finetuned_squad_basque_marcbrun
+date: 2023-11-15
+tags: [bert, eu, open_source, question_answering, onnx]
+task: Question Answering
+language: eu
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_ixambert_finetuned_squad_basque_marcbrun` is a Basque model originally trained by MarcBrun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ixambert_finetuned_squad_basque_marcbrun_eu_5.2.0_3.0_1700009508595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ixambert_finetuned_squad_basque_marcbrun_eu_5.2.0_3.0_1700009508595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ixambert_finetuned_squad_basque_marcbrun|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|eu|
+|Size:|661.1 MB|
+
+## References
+
+https://huggingface.co/MarcBrun/ixambert-finetuned-squad-eu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_jimypbr_bert_base_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_jimypbr_bert_base_uncased_squad_en.md
new file mode 100644
index 000000000000..3c4e0d94b3d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_jimypbr_bert_base_uncased_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from jimypbr)
+author: John Snow Labs
+name: bert_qa_jimypbr_bert_base_uncased_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-squad` is a English model orginally trained by `jimypbr`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_jimypbr_bert_base_uncased_squad_en_5.2.0_3.0_1700007658852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_jimypbr_bert_base_uncased_squad_en_5.2.0_3.0_1700007658852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_jimypbr_bert_base_uncased_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_jimypbr_bert_base_uncased_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased.by_jimypbr").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_jimypbr_bert_base_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|258.5 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jimypbr/bert-base-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kamilali_distilbert_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kamilali_distilbert_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..c99949192f7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kamilali_distilbert_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from kamilali)
+author: John Snow Labs
+name: bert_qa_kamilali_distilbert_base_uncased_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model orginally trained by `kamilali`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_kamilali_distilbert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700007960980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_kamilali_distilbert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700007960980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_kamilali_distilbert_base_uncased_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_kamilali_distilbert_base_uncased_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.distilled_base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_kamilali_distilbert_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/kamilali/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kaporter_bert_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kaporter_bert_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..71b7489a394c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kaporter_bert_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from kaporter)
+author: John Snow Labs
+name: bert_qa_kaporter_bert_base_uncased_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-squad` is a English model orginally trained by `kaporter`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_kaporter_bert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700008245981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_kaporter_bert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700008245981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_kaporter_bert_base_uncased_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_kaporter_bert_base_uncased_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased.by_kaporter").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_kaporter_bert_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/kaporter/bert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kcbert_base_finetuned_squad_ko.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kcbert_base_finetuned_squad_ko.md
new file mode 100644
index 000000000000..45bc9ce7f75f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kcbert_base_finetuned_squad_ko.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering Base Cased model (from tucan9389)
+author: John Snow Labs
+name: bert_qa_kcbert_base_finetuned_squad
+date: 2023-11-15
+tags: [ko, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `kcbert-base-finetuned-squad` is a Korean model originally trained by `tucan9389`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_kcbert_base_finetuned_squad_ko_5.2.0_3.0_1700008506310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_kcbert_base_finetuned_squad_ko_5.2.0_3.0_1700008506310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_kcbert_base_finetuned_squad","ko") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_kcbert_base_finetuned_squad","ko")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_kcbert_base_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|406.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tucan9389/kcbert-base-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_keepitreal_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_keepitreal_finetuned_squad_en.md
new file mode 100644
index 000000000000..5ffb340213ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_keepitreal_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from keepitreal)
+author: John Snow Labs
+name: bert_qa_keepitreal_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `keepitreal`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_keepitreal_finetuned_squad_en_5.2.0_3.0_1700008749370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_keepitreal_finetuned_squad_en_5.2.0_3.0_1700008749370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_keepitreal_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_keepitreal_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_keepitreal_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/keepitreal/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_khanh_base_multilingual_cased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_khanh_base_multilingual_cased_finetuned_squad_en.md
new file mode 100644
index 000000000000..473270e6716d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_khanh_base_multilingual_cased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from Khanh)
+author: John Snow Labs
+name: bert_qa_khanh_base_multilingual_cased_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned-squad` is a English model originally trained by `Khanh`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_khanh_base_multilingual_cased_finetuned_squad_en_5.2.0_3.0_1700009076961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_khanh_base_multilingual_cased_finetuned_squad_en_5.2.0_3.0_1700009076961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_khanh_base_multilingual_cased_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_khanh_base_multilingual_cased_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.cased_multilingual_base_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_khanh_base_multilingual_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Khanh/bert-base-multilingual-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_klue_bert_base_aihub_mrc_ko.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_klue_bert_base_aihub_mrc_ko.md
new file mode 100644
index 000000000000..444ff065fc82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_klue_bert_base_aihub_mrc_ko.md
@@ -0,0 +1,111 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering model (from bespin-global)
+author: John Snow Labs
+name: bert_qa_klue_bert_base_aihub_mrc
+date: 2023-11-15
+tags: [ko, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `klue-bert-base-aihub-mrc` is a Korean model orginally trained by `bespin-global`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_klue_bert_base_aihub_mrc_ko_5.2.0_3.0_1700009374093.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_klue_bert_base_aihub_mrc_ko_5.2.0_3.0_1700009374093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_klue_bert_base_aihub_mrc","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_klue_bert_base_aihub_mrc","ko")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.klue.bert.base_aihub.by_bespin-global").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_klue_bert_base_aihub_mrc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|412.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bespin-global/klue-bert-base-aihub-mrc
+- https://github.com/KLUE-benchmark/KLUE
+- https://www.bespinglobal.com/
+- https://aihub.or.kr/aidata/86
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kobert_finetuned_squad_kor_v1_ko.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kobert_finetuned_squad_kor_v1_ko.md
new file mode 100644
index 000000000000..97fac200dca5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_kobert_finetuned_squad_kor_v1_ko.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering Cased model (from arogyaGurkha)
+author: John Snow Labs
+name: bert_qa_kobert_finetuned_squad_kor_v1
+date: 2023-11-15
+tags: [ko, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `kobert-finetuned-squad_kor_v1` is a Korean model originally trained by `arogyaGurkha`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_kobert_finetuned_squad_kor_v1_ko_5.2.0_3.0_1700009633696.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_kobert_finetuned_squad_kor_v1_ko_5.2.0_3.0_1700009633696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_kobert_finetuned_squad_kor_v1","ko") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_kobert_finetuned_squad_kor_v1","ko")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_kobert_finetuned_squad_kor_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|342.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/arogyaGurkha/kobert-finetuned-squad_kor_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_korean_lm_finetuned_klue_v2_ko.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_korean_lm_finetuned_klue_v2_ko.md
new file mode 100644
index 000000000000..095d97ae6ef4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_korean_lm_finetuned_klue_v2_ko.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Korean bert_qa_korean_lm_finetuned_klue_v2 BertForQuestionAnswering from 2tina
+author: John Snow Labs
+name: bert_qa_korean_lm_finetuned_klue_v2
+date: 2023-11-15
+tags: [bert, ko, open_source, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_korean_lm_finetuned_klue_v2` is a Korean model originally trained by 2tina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_korean_lm_finetuned_klue_v2_ko_5.2.0_3.0_1700009647081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_korean_lm_finetuned_klue_v2_ko_5.2.0_3.0_1700009647081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_korean_lm_finetuned_klue_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|342.7 MB|
+
+## References
+
+https://huggingface.co/2tina/kobert-lm-finetuned-klue-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_large_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_large_en.md
new file mode 100644
index 000000000000..92099edc8acc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Large Cased model (from srcocotero)
+author: John Snow Labs
+name: bert_qa_large
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-qa` is a English model originally trained by `srcocotero`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_large_en_5.2.0_3.0_1700010204357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_large_en_5.2.0_3.0_1700010204357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_large","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_large","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/srcocotero/bert-large-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_large_japanese_wikipedia_ud_head_ja.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_large_japanese_wikipedia_ud_head_ja.md
new file mode 100644
index 000000000000..105944d750ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_large_japanese_wikipedia_ud_head_ja.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: Japanese BertForQuestionAnswering Large model (from KoichiYasuoka)
+author: John Snow Labs
+name: bert_qa_large_japanese_wikipedia_ud_head
+date: 2023-11-15
+tags: [ja, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ja
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-japanese-wikipedia-ud-head` is a Japanese model originally trained by `KoichiYasuoka`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_large_japanese_wikipedia_ud_head_ja_5.2.0_3.0_1700006723855.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_large_japanese_wikipedia_ud_head_ja_5.2.0_3.0_1700006723855.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_large_japanese_wikipedia_ud_head|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ja|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/KoichiYasuoka/bert-large-japanese-wikipedia-ud-head
+- https://github.com/UniversalDependencies/UD_Japanese-GSDLUW
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_large_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_large_squad_en.md
new file mode 100644
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+---
+layout: model
+title: English BertForQuestionAnswering Large Cased model (from jaimin)
+author: John Snow Labs
+name: bert_qa_large_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-large-squad` is a English model originally trained by `jaimin`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_large_squad_en_5.2.0_3.0_1700008165848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_large_squad_en_5.2.0_3.0_1700008165848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_large_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_large_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_large_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jaimin/bert-large-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_large_uncased_spanish_sign_language_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_large_uncased_spanish_sign_language_en.md
new file mode 100644
index 000000000000..7c7e2d92c883
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+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_large_uncased_spanish_sign_language_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_large_uncased_spanish_sign_language BertForQuestionAnswering from michaelrglass
+author: John Snow Labs
+name: bert_qa_large_uncased_spanish_sign_language
+date: 2023-11-15
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_large_uncased_spanish_sign_language` is a English model originally trained by michaelrglass.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_spanish_sign_language_en_5.2.0_3.0_1700010812943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_large_uncased_spanish_sign_language_en_5.2.0_3.0_1700010812943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_large_uncased_spanish_sign_language|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|795.1 MB|
+
+## References
+
+https://huggingface.co/michaelrglass/bert-large-uncased-sspt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_linkbert_base_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_linkbert_base_finetuned_squad_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_linkbert_base_finetuned_squad_en.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from niklaspm)
+author: John Snow Labs
+name: bert_qa_linkbert_base_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `linkbert-base-finetuned-squad` is a English model originally trained by `niklaspm`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_linkbert_base_finetuned_squad_en_5.2.0_3.0_1700008477891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_linkbert_base_finetuned_squad_en_5.2.0_3.0_1700008477891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_linkbert_base_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_linkbert_base_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.link_bert.squad.base_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_linkbert_base_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/niklaspm/linkbert-base-finetuned-squad
+- https://arxiv.org/abs/2203.15827
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_logo_qna_model_tr.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_logo_qna_model_tr.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_logo_qna_model_tr.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering model (from yunusemreemik)
+author: John Snow Labs
+name: bert_qa_logo_qna_model
+date: 2023-11-15
+tags: [tr, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `logo-qna-model` is a Turkish model orginally trained by `yunusemreemik`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_logo_qna_model_tr_5.2.0_3.0_1700011067624.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_logo_qna_model_tr_5.2.0_3.0_1700011067624.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_logo_qna_model","tr") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_logo_qna_model","tr")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("tr.answer_question.bert.by_yunusemreemik").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_logo_qna_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|tr|
+|Size:|412.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/yunusemreemik/logo-qna-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_loodos_bert_base_uncased_qa_fine_tuned_tr.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_loodos_bert_base_uncased_qa_fine_tuned_tr.md
new file mode 100644
index 000000000000..83a98c69997e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_loodos_bert_base_uncased_qa_fine_tuned_tr.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: Turkish bert_qa_loodos_bert_base_uncased_qa_fine_tuned BertForQuestionAnswering from oguzhanolm
+author: John Snow Labs
+name: bert_qa_loodos_bert_base_uncased_qa_fine_tuned
+date: 2023-11-15
+tags: [bert, tr, open_source, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_loodos_bert_base_uncased_qa_fine_tuned` is a Turkish model originally trained by oguzhanolm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_loodos_bert_base_uncased_qa_fine_tuned_tr_5.2.0_3.0_1700008767611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_loodos_bert_base_uncased_qa_fine_tuned_tr_5.2.0_3.0_1700008767611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_loodos_bert_base_uncased_qa_fine_tuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|tr|
+|Size:|412.0 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/oguzhanolm/loodos-bert-base-uncased-QA-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_bengali_tydiqa_qa_bn.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_bengali_tydiqa_qa_bn.md
new file mode 100644
index 000000000000..783a28a8ade8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_bengali_tydiqa_qa_bn.md
@@ -0,0 +1,113 @@
+---
+layout: model
+title: Bangla BertForQuestionAnswering model (from sagorsarker)
+author: John Snow Labs
+name: bert_qa_mbert_bengali_tydiqa_qa
+date: 2023-11-15
+tags: [bn, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: bn
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `mbert-bengali-tydiqa-qa` is a Bangla model orginally trained by `sagorsarker`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mbert_bengali_tydiqa_qa_bn_5.2.0_3.0_1700011657711.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mbert_bengali_tydiqa_qa_bn_5.2.0_3.0_1700011657711.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_mbert_bengali_tydiqa_qa","bn") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_mbert_bengali_tydiqa_qa","bn")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("bn.answer_question.tydiqa.multi_lingual_bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mbert_bengali_tydiqa_qa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|bn|
+|Size:|625.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sagorsarker/mbert-bengali-tydiqa-qa
+- https://github.com/sagorbrur
+- https://github.com/sagorbrur/bntransformer
+- https://github.com/google-research-datasets/tydiqa
+- https://www.linkedin.com/in/sagor-sarker/
+- https://www.kaggle.com/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_finetuned_mlqa_arabic_hindi_dev_xx.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_finetuned_mlqa_arabic_hindi_dev_xx.md
new file mode 100644
index 000000000000..264ff2b0e642
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_finetuned_mlqa_arabic_hindi_dev_xx.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Multilingual bert_qa_mbert_finetuned_mlqa_arabic_hindi_dev BertForQuestionAnswering from roshnir
+author: John Snow Labs
+name: bert_qa_mbert_finetuned_mlqa_arabic_hindi_dev
+date: 2023-11-15
+tags: [bert, xx, open_source, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_mbert_finetuned_mlqa_arabic_hindi_dev` is a Multilingual model originally trained by roshnir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mbert_finetuned_mlqa_arabic_hindi_dev_xx_5.2.0_3.0_1700006955082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mbert_finetuned_mlqa_arabic_hindi_dev_xx_5.2.0_3.0_1700006955082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mbert_finetuned_mlqa_chinese_hindi_dev|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/roshnir/mBert-finetuned-mlqa-dev-zh-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_finetuned_mlqa_dev_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_finetuned_mlqa_dev_en.md
new file mode 100644
index 000000000000..2f463d194d8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_finetuned_mlqa_dev_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from roshnir)
+author: John Snow Labs
+name: bert_qa_mbert_finetuned_mlqa_dev
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `mBert-finetuned-mlqa-dev-en` is a English model originally trained by `roshnir`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mbert_finetuned_mlqa_dev_en_5.2.0_3.0_1700009322395.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mbert_finetuned_mlqa_dev_en_5.2.0_3.0_1700009322395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_mbert_finetuned_mlqa_dev","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_mbert_finetuned_mlqa_dev","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.mlqa.finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mbert_finetuned_mlqa_dev|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|625.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/roshnir/mBert-finetuned-mlqa-dev-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_finetuned_mlqa_english_chinese_hindi_dev_xx.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_finetuned_mlqa_english_chinese_hindi_dev_xx.md
new file mode 100644
index 000000000000..21d722fa2ecd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mbert_finetuned_mlqa_english_chinese_hindi_dev_xx.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Multilingual bert_qa_mbert_finetuned_mlqa_english_chinese_hindi_dev BertForQuestionAnswering from roshnir
+author: John Snow Labs
+name: bert_qa_mbert_finetuned_mlqa_english_chinese_hindi_dev
+date: 2023-11-15
+tags: [bert, xx, open_source, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_mbert_finetuned_mlqa_english_chinese_hindi_dev` is a Multilingual model originally trained by roshnir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mbert_finetuned_mlqa_english_chinese_hindi_dev_xx_5.2.0_3.0_1700009561613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mbert_finetuned_mlqa_english_chinese_hindi_dev_xx_5.2.0_3.0_1700009561613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mbert_finetuned_mlqa_spanish_hindi_dev|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/roshnir/mBert-finetuned-mlqa-dev-es-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mini_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mini_en.md
new file mode 100644
index 000000000000..b7f20c49a8bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mini_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Mini Cased model (from srcocotero)
+author: John Snow Labs
+name: bert_qa_mini
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `mini-bert-qa` is a English model originally trained by `srcocotero`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mini_en_5.2.0_3.0_1700012043479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mini_en_5.2.0_3.0_1700012043479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_mini","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_mini","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mini|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|41.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/srcocotero/mini-bert-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mini_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mini_finetuned_squad_en.md
new file mode 100644
index 000000000000..713265f9883f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mini_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Mini Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_mini_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-mini-finetuned-squad` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mini_finetuned_squad_en_5.2.0_3.0_1700007275952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mini_finetuned_squad_en_5.2.0_3.0_1700007275952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_mini_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_mini_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.mini_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mini_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|41.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/bert-mini-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_minilm_l12_h384_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_minilm_l12_h384_uncased_squad_en.md
new file mode 100644
index 000000000000..fdf35476072e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_minilm_l12_h384_uncased_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Mini Uncased model (from haritzpuerto)
+author: John Snow Labs
+name: bert_qa_minilm_l12_h384_uncased_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `MiniLM-L12-H384-uncased-squad` is a English model originally trained by `haritzpuerto`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_minilm_l12_h384_uncased_squad_en_5.2.0_3.0_1700012168987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_minilm_l12_h384_uncased_squad_en_5.2.0_3.0_1700012168987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_minilm_l12_h384_uncased_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_minilm_l12_h384_uncased_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.uncased_mini_lm_mini").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_minilm_l12_h384_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|123.8 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/haritzpuerto/MiniLM-L12-H384-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_minilm_uncased_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_minilm_uncased_squad2_en.md
new file mode 100644
index 000000000000..17a50e215e43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_minilm_uncased_squad2_en.md
@@ -0,0 +1,120 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from deepset)
+author: John Snow Labs
+name: bert_qa_minilm_uncased_squad2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `minilm-uncased-squad2` is a English model orginally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_minilm_uncased_squad2_en_5.2.0_3.0_1700009958896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_minilm_uncased_squad2_en_5.2.0_3.0_1700009958896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_minilm_uncased_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_minilm_uncased_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.mini_lm_base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_minilm_uncased_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|123.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepset/minilm-uncased-squad2
+- https://github.com/deepset-ai/haystack/discussions
+- https://deepset.ai
+- https://github.com/deepset-ai/FARM/blob/master/examples/question_answering.py
+- https://twitter.com/deepset_ai
+- http://www.deepset.ai/jobs
+- https://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/
+- https://haystack.deepset.ai/community/join
+- https://github.com/deepset-ai/haystack/
+- https://deepset.ai/german-bert
+- https://www.linkedin.com/company/deepset-ai/
+- https://github.com/deepset-ai/FARM
+- https://deepset.ai/germanquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mod_7_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mod_7_squad_en.md
new file mode 100644
index 000000000000..825aa3a9ab16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mod_7_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Go2Heart)
+author: John Snow Labs
+name: bert_qa_mod_7_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `BERT_Mod_7_Squad` is a English model originally trained by `Go2Heart`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mod_7_squad_en_5.2.0_3.0_1700012402588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mod_7_squad_en_5.2.0_3.0_1700012402588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_mod_7_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_mod_7_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mod_7_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|406.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Go2Heart/BERT_Mod_7_Squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_model_output_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_model_output_en.md
new file mode 100644
index 000000000000..261e7cce9f4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_model_output_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from SanayCo)
+author: John Snow Labs
+name: bert_qa_model_output
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `model_output` is a English model orginally trained by `SanayCo`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_model_output_en_5.2.0_3.0_1700012692609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_model_output_en_5.2.0_3.0_1700012692609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_model_output","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_model_output","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_SanayCo").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_model_output|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SanayCo/model_output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelbin_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelbin_en.md
new file mode 100644
index 000000000000..0b6aeef4a55a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelbin_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from JAlexis)
+author: John Snow Labs
+name: bert_qa_modelbin
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `modelbin` is a English model originally trained by `JAlexis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_modelbin_en_5.2.0_3.0_1700010098432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_modelbin_en_5.2.0_3.0_1700010098432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_modelbin","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_modelbin","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_modelbin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/JAlexis/modelbin
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelf_01_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelf_01_en.md
new file mode 100644
index 000000000000..28e536bda369
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelf_01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from JAlexis)
+author: John Snow Labs
+name: bert_qa_modelf_01
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `modelF_01` is a English model originally trained by `JAlexis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_modelf_01_en_5.2.0_3.0_1700012948741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_modelf_01_en_5.2.0_3.0_1700012948741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_modelf_01","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_modelf_01","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_modelf_01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/JAlexis/modelF_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelonwhol_tr.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelonwhol_tr.md
new file mode 100644
index 000000000000..82730aaad887
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelonwhol_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering Cased model (from Aybars)
+author: John Snow Labs
+name: bert_qa_modelonwhol
+date: 2023-11-15
+tags: [tr, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `ModelOnWhole` is a Turkish model originally trained by `Aybars`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_modelonwhol_tr_5.2.0_3.0_1700013291003.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_modelonwhol_tr_5.2.0_3.0_1700013291003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_modelonwhol","tr") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_modelonwhol","tr")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_modelonwhol|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|688.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Aybars/ModelOnWhole
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelv2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelv2_en.md
new file mode 100644
index 000000000000..4843431a8df0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_modelv2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from JAlexis)
+author: John Snow Labs
+name: bert_qa_modelv2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `modelv2` is a English model originally trained by `JAlexis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_modelv2_en_5.2.0_3.0_1700013581942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_modelv2_en_5.2.0_3.0_1700013581942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_modelv2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_modelv2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_modelv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/JAlexis/modelv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_monakth_base_multilingual_cased_finetuned_squad_xx.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_monakth_base_multilingual_cased_finetuned_squad_xx.md
new file mode 100644
index 000000000000..b1287133a770
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_monakth_base_multilingual_cased_finetuned_squad_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering Base Cased model (from monakth)
+author: John Snow Labs
+name: bert_qa_monakth_base_multilingual_cased_finetuned_squad
+date: 2023-11-15
+tags: [xx, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned-squad` is a Multilingual model originally trained by `monakth`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_monakth_base_multilingual_cased_finetuned_squad_xx_5.2.0_3.0_1700015431790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_monakth_base_multilingual_cased_finetuned_squad_xx_5.2.0_3.0_1700015431790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_monakth_base_multilingual_cased_finetuned_squad","xx")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_monakth_base_multilingual_cased_finetuned_squad","xx")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_monakth_base_multilingual_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/monakth/bert-base-multilingual-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_monakth_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_monakth_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..f1d9be7b909a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_monakth_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from monakth)
+author: John Snow Labs
+name: bert_qa_monakth_base_uncased_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-squad` is a English model originally trained by `monakth`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_monakth_base_uncased_finetuned_squad_en_5.2.0_3.0_1700007526590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_monakth_base_uncased_finetuned_squad_en_5.2.0_3.0_1700007526590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_monakth_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_monakth_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_monakth_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/monakth/bert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mqa_cls_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mqa_cls_en.md
new file mode 100644
index 000000000000..3237dc65acbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mqa_cls_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from xraychen)
+author: John Snow Labs
+name: bert_qa_mqa_cls
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `mqa-cls` is a English model orginally trained by `xraychen`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mqa_cls_en_5.2.0_3.0_1700010393249.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mqa_cls_en_5.2.0_3.0_1700010393249.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_mqa_cls","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_mqa_cls","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_qu estion.mqa_cls.bert.by_xraychen").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mqa_cls|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/xraychen/mqa-cls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mqa_sim_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mqa_sim_en.md
new file mode 100644
index 000000000000..5c46c0a669c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mqa_sim_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from xraychen)
+author: John Snow Labs
+name: bert_qa_mqa_sim
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `mqa-sim` is a English model orginally trained by `xraychen`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mqa_sim_en_5.2.0_3.0_1700063910561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mqa_sim_en_5.2.0_3.0_1700063910561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_mqa_sim","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_mqa_sim","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.sim.by_xraychen").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mqa_sim|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/xraychen/mqa-sim
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mqa_unsupsim_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mqa_unsupsim_en.md
new file mode 100644
index 000000000000..3249cd1ff6c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mqa_unsupsim_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from xraychen)
+author: John Snow Labs
+name: bert_qa_mqa_unsupsim
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `mqa-unsupsim` is a English model orginally trained by `xraychen`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mqa_unsupsim_en_5.2.0_3.0_1700064165660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mqa_unsupsim_en_5.2.0_3.0_1700064165660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_mqa_unsupsim","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_mqa_unsupsim","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.unsupsim.by_xraychen").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mqa_unsupsim|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/xraychen/mqa-unsupsim
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mrp_bert_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mrp_bert_finetuned_squad_en.md
new file mode 100644
index 000000000000..18e46ce5c927
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mrp_bert_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrp)
+author: John Snow Labs
+name: bert_qa_mrp_bert_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model orginally trained by `mrp`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mrp_bert_finetuned_squad_en_5.2.0_3.0_1700007840846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mrp_bert_finetuned_squad_en_5.2.0_3.0_1700007840846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_mrp_bert_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_mrp_bert_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_mrp").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mrp_bert_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrp/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multi_uncased_trained_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multi_uncased_trained_squadv2_en.md
new file mode 100644
index 000000000000..c8280a75e919
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multi_uncased_trained_squadv2_en.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from roshnir)
+author: John Snow Labs
+name: bert_qa_multi_uncased_trained_squadv2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-multi-uncased-trained-squadv2` is a English model originally trained by `roshnir`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_multi_uncased_trained_squadv2_en_5.2.0_3.0_1700010782611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_multi_uncased_trained_squadv2_en_5.2.0_3.0_1700010782611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_multi_uncased_trained_squadv2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_multi_uncased_trained_squadv2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2.uncased_v2").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_multi_uncased_trained_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|625.5 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/roshnir/bert-multi-uncased-trained-squadv2
+- https://aclanthology.org/2020.acl-main.421.pdf%5D
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_base_cased_chines_zh.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_base_cased_chines_zh.md
new file mode 100644
index 000000000000..7caac2232692
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_base_cased_chines_zh.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Base Cased model (from bhavikardeshna)
+author: John Snow Labs
+name: bert_qa_multilingual_base_cased_chines
+date: 2023-11-15
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `multilingual-bert-base-cased-chinese` is a Chinese model originally trained by `bhavikardeshna`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_base_cased_chines_zh_5.2.0_3.0_1700010354850.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_base_cased_chines_zh_5.2.0_3.0_1700010354850.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_multilingual_base_cased_chines|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bhavikardeshna/multilingual-bert-base-cased-chinese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_arabic_ar.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_arabic_ar.md
new file mode 100644
index 000000000000..e05c78e29bf6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_arabic_ar.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Arabic BertForQuestionAnswering model (from bhavikardeshna)
+author: John Snow Labs
+name: bert_qa_multilingual_bert_base_cased_arabic
+date: 2023-11-15
+tags: [open_source, question_answering, bert, ar, onnx]
+task: Question Answering
+language: ar
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `multilingual-bert-base-cased-arabic` is a Arabic model orginally trained by `bhavikardeshna`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_arabic_ar_5.2.0_3.0_1700011124489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_arabic_ar_5.2.0_3.0_1700011124489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_multilingual_bert_base_cased_arabic","ar") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_multilingual_bert_base_cased_arabic","ar")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ar.answer_question.bert.multilingual_arabic_tuned_base_cased.by_bhavikardeshna").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_multilingual_bert_base_cased_arabic|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bhavikardeshna/multilingual-bert-base-cased-arabic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_german_de.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_german_de.md
new file mode 100644
index 000000000000..fb31a29fa1e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_german_de.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: German BertForQuestionAnswering model (from bhavikardeshna)
+author: John Snow Labs
+name: bert_qa_multilingual_bert_base_cased_german
+date: 2023-11-15
+tags: [open_source, question_answering, bert, de, onnx]
+task: Question Answering
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `multilingual-bert-base-cased-german` is a German model orginally trained by `bhavikardeshna`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_german_de_5.2.0_3.0_1700010746503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_german_de_5.2.0_3.0_1700010746503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_multilingual_bert_base_cased_german","de") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_multilingual_bert_base_cased_german","de")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("de.answer_question.bert.multilingual_german_tuned_base_cased.by_bhavikardeshna").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_multilingual_bert_base_cased_german|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|de|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bhavikardeshna/multilingual-bert-base-cased-german
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_hindi_hi.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_hindi_hi.md
new file mode 100644
index 000000000000..3686f6c5c138
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_hindi_hi.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Hindi BertForQuestionAnswering model (from bhavikardeshna)
+author: John Snow Labs
+name: bert_qa_multilingual_bert_base_cased_hindi
+date: 2023-11-15
+tags: [open_source, question_answering, bert, hi, onnx]
+task: Question Answering
+language: hi
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `multilingual-bert-base-cased-hindi` is a Hindi model orginally trained by `bhavikardeshna`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_hindi_hi_5.2.0_3.0_1700064514465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_hindi_hi_5.2.0_3.0_1700064514465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_multilingual_bert_base_cased_hindi","hi") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_multilingual_bert_base_cased_hindi","hi")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("hi.answer_question.bert.multilingual_hindi_tuned_base_cased.by_bhavikardeshna").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_multilingual_bert_base_cased_hindi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|hi|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bhavikardeshna/multilingual-bert-base-cased-hindi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_spanish_es.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_spanish_es.md
new file mode 100644
index 000000000000..5050f6bbcd55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_spanish_es.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Castilian, Spanish BertForQuestionAnswering model (from bhavikardeshna)
+author: John Snow Labs
+name: bert_qa_multilingual_bert_base_cased_spanish
+date: 2023-11-15
+tags: [open_source, question_answering, bert, es, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `multilingual-bert-base-cased-spanish` is a Castilian, Spanish model orginally trained by `bhavikardeshna`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_spanish_es_5.2.0_3.0_1700008189037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_spanish_es_5.2.0_3.0_1700008189037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_multilingual_bert_base_cased_spanish","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_multilingual_bert_base_cased_spanish","es")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.bert.multilingual_spanish_tuned_base_cased.by_bhavikardeshna").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_multilingual_bert_base_cased_spanish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|es|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bhavikardeshna/multilingual-bert-base-cased-spanish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_vietnamese_vi.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_vietnamese_vi.md
new file mode 100644
index 000000000000..410b9d34f94d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_multilingual_bert_base_cased_vietnamese_vi.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Vietnamese BertForQuestionAnswering model (from bhavikardeshna)
+author: John Snow Labs
+name: bert_qa_multilingual_bert_base_cased_vietnamese
+date: 2023-11-15
+tags: [open_source, question_answering, bert, vi, onnx]
+task: Question Answering
+language: vi
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `multilingual-bert-base-cased-vietnamese` is a Vietnamese model orginally trained by `bhavikardeshna`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_vietnamese_vi_5.2.0_3.0_1700008525364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_multilingual_bert_base_cased_vietnamese_vi_5.2.0_3.0_1700008525364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_multilingual_bert_base_cased_vietnamese","vi") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_multilingual_bert_base_cased_vietnamese","vi")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("vi.answer_question.bert.multilingual_vietnamese_tuned_base_cased.by_bhavikardeshna").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_multilingual_bert_base_cased_vietnamese|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|vi|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bhavikardeshna/multilingual-bert-base-cased-vietnamese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_muril_large_squad2_hi.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_muril_large_squad2_hi.md
new file mode 100644
index 000000000000..7c6ffd687dd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_muril_large_squad2_hi.md
@@ -0,0 +1,110 @@
+---
+layout: model
+title: Hindi BertForQuestionAnswering model (from Sindhu)
+author: John Snow Labs
+name: bert_qa_muril_large_squad2
+date: 2023-11-15
+tags: [open_source, question_answering, bert, hi, onnx]
+task: Question Answering
+language: hi
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `muril-large-squad2` is a Hindi model orginally trained by `Sindhu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_muril_large_squad2_hi_5.2.0_3.0_1700011602780.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_muril_large_squad2_hi_5.2.0_3.0_1700011602780.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_muril_large_squad2","hi") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_muril_large_squad2","hi")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("hi.answer_question.squadv2.bert.large").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_muril_large_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|hi|
+|Size:|1.9 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Sindhu/muril-large-squad2
+- https://worksheets.codalab.org/rest/bundles/0x6b567e1cf2e041ec80d7098f031c5c9e/contents/blob/
+- https://twitter.com/batw0man
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mymild_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mymild_finetuned_squad_en.md
new file mode 100644
index 000000000000..d7de9c5613a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_mymild_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from MyMild)
+author: John Snow Labs
+name: bert_qa_mymild_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `MyMild`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_mymild_finetuned_squad_en_5.2.0_3.0_1700011622327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_mymild_finetuned_squad_en_5.2.0_3.0_1700011622327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_mymild_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_mymild_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned.by_MyMild").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_mymild_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MyMild/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_neg_komrc_train_ko.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_neg_komrc_train_ko.md
new file mode 100644
index 000000000000..8aa111b9b97c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_neg_komrc_train_ko.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Korean BertForQuestionAnswering Cased model (from Taekyoon)
+author: John Snow Labs
+name: bert_qa_neg_komrc_train
+date: 2023-11-15
+tags: [ko, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `neg_komrc_train` is a Korean model originally trained by `Taekyoon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_neg_komrc_train_ko_5.2.0_3.0_1700011887300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_neg_komrc_train_ko_5.2.0_3.0_1700011887300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_neg_komrc_train","ko") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_neg_komrc_train","ko")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_neg_komrc_train|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|406.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Taekyoon/neg_komrc_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_negfir_distilbert_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_negfir_distilbert_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..a5731ad9a7f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_negfir_distilbert_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from negfir)
+author: John Snow Labs
+name: bert_qa_negfir_distilbert_base_uncased_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `negfir`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_negfir_distilbert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700064684620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_negfir_distilbert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700064684620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_negfir_distilbert_base_uncased_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_negfir_distilbert_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.distilled_uncased_base_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_negfir_distilbert_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|200.6 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/negfir/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ner_conll_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ner_conll_base_uncased_en.md
new file mode 100644
index 000000000000..c67cdb22dfe5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ner_conll_base_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from dayyass)
+author: John Snow Labs
+name: bert_qa_ner_conll_base_uncased
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `qaner-conll-bert-base-uncased` is a English model originally trained by `dayyass`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ner_conll_base_uncased_en_5.2.0_3.0_1700008964066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ner_conll_base_uncased_en_5.2.0_3.0_1700008964066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ner_conll_base_uncased","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ner_conll_base_uncased","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ner_conll_base_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/dayyass/qaner-conll-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_neuralmagic_bert_squad_12layer_0sparse_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_neuralmagic_bert_squad_12layer_0sparse_en.md
new file mode 100644
index 000000000000..b332ca26efca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_neuralmagic_bert_squad_12layer_0sparse_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from spacemanidol)
+author: John Snow Labs
+name: bert_qa_neuralmagic_bert_squad_12layer_0sparse
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `neuralmagic-bert-squad-12layer-0sparse` is a English model orginally trained by `spacemanidol`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_neuralmagic_bert_squad_12layer_0sparse_en_5.2.0_3.0_1700009310735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_neuralmagic_bert_squad_12layer_0sparse_en_5.2.0_3.0_1700009310735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_neuralmagic_bert_squad_12layer_0sparse","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_neuralmagic_bert_squad_12layer_0sparse","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_neuralmagic_bert_squad_12layer_0sparse|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/spacemanidol/neuralmagic-bert-squad-12layer-0sparse
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_news_pretrain_bert_ft_nepal_bhasa_newsqa_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_news_pretrain_bert_ft_nepal_bhasa_newsqa_en.md
new file mode 100644
index 000000000000..b85e014e392a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_news_pretrain_bert_ft_nepal_bhasa_newsqa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_news_pretrain_bert_ft_nepal_bhasa_newsqa BertForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: bert_qa_news_pretrain_bert_ft_nepal_bhasa_newsqa
+date: 2023-11-15
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_news_pretrain_bert_ft_nepal_bhasa_newsqa` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_news_pretrain_bert_ft_nepal_bhasa_newsqa_en_5.2.0_3.0_1700011832898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_news_pretrain_bert_ft_nepal_bhasa_newsqa_en_5.2.0_3.0_1700011832898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_norwegian_need_tonga_tonga_islands_name_this|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|409.9 MB|
+
+## References
+
+https://huggingface.co/LenaSchmidt/no_need_to_name_this
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_output_files_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_output_files_en.md
new file mode 100644
index 000000000000..352808a41605
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_output_files_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from sunitha)
+author: John Snow Labs
+name: bert_qa_output_files
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `output_files` is a English model orginally trained by `sunitha`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_output_files_en_5.2.0_3.0_1700012511653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_output_files_en_5.2.0_3.0_1700012511653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_output_files","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_output_files","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.output_files.bert.by_sunitha").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_output_files|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sunitha/output_files
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_paranoidandroid_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_paranoidandroid_finetuned_squad_en.md
new file mode 100644
index 000000000000..953e35642bd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_paranoidandroid_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from ParanoidAndroid)
+author: John Snow Labs
+name: bert_qa_paranoidandroid_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `ParanoidAndroid`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_paranoidandroid_finetuned_squad_en_5.2.0_3.0_1700012780240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_paranoidandroid_finetuned_squad_en_5.2.0_3.0_1700012780240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_paranoidandroid_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_paranoidandroid_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned.by_ParanoidAndroid").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_paranoidandroid_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ParanoidAndroid/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pars_fa.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pars_fa.md
new file mode 100644
index 000000000000..a096421a2621
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pars_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Cased model (from sepiosky)
+author: John Snow Labs
+name: bert_qa_pars
+date: 2023-11-15
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `ParsBERT_QA` is a Persian model originally trained by `sepiosky`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_pars_fa_5.2.0_3.0_1700012639595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_pars_fa_5.2.0_3.0_1700012639595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_pars","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_pars","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_pars|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sepiosky/ParsBERT_QA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pars_question_answering_pquad_fa.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pars_question_answering_pquad_fa.md
new file mode 100644
index 000000000000..22aa6c6450b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pars_question_answering_pquad_fa.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Cased model (from pedramyazdipoor)
+author: John Snow Labs
+name: bert_qa_pars_question_answering_pquad
+date: 2023-11-15
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `parsbert_question_answering_PQuAD` is a Persian model originally trained by `pedramyazdipoor`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_pars_question_answering_pquad_fa_5.2.0_3.0_1700010005378.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_pars_question_answering_pquad_fa_5.2.0_3.0_1700010005378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_pars_question_answering_pquad","fa")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_pars_question_answering_pquad","fa")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_pars_question_answering_pquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/pedramyazdipoor/parsbert_question_answering_PQuAD
+- https://github.com/pedramyazdipoor/ParsBert_QA_PQuAD
+- https://arxiv.org/abs/2005.12515
+- https://arxiv.org/abs/2202.06219
+- https://www.linkedin.com/in/pedram-yazdipour/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_parsbert_finetuned_persianqa_fa.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_parsbert_finetuned_persianqa_fa.md
new file mode 100644
index 000000000000..5aa1265d171b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_parsbert_finetuned_persianqa_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Cased model (from marzinouri101)
+author: John Snow Labs
+name: bert_qa_parsbert_finetuned_persianqa
+date: 2023-11-15
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `parsbert-finetuned-persianQA` is a Persian model originally trained by `marzinouri101`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_parsbert_finetuned_persianqa_fa_5.2.0_3.0_1700013045523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_parsbert_finetuned_persianqa_fa_5.2.0_3.0_1700013045523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_parsbert_finetuned_persianqa","fa") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_parsbert_finetuned_persianqa","fa")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_parsbert_finetuned_persianqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|441.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/marzinouri101/parsbert-finetuned-persianQA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_part_2_mbert_model_e1_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_part_2_mbert_model_e1_en.md
new file mode 100644
index 000000000000..df176bbadb16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_part_2_mbert_model_e1_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from horsbug98)
+author: John Snow Labs
+name: bert_qa_part_2_mbert_model_e1
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `Part_2_mBERT_Model_E1` is a English model originally trained by `horsbug98`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_part_2_mbert_model_e1_en_5.2.0_3.0_1700066351101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_part_2_mbert_model_e1_en_5.2.0_3.0_1700066351101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_part_2_mbert_model_e1","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_part_2_mbert_model_e1","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.tydiqa.").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_part_2_mbert_model_e1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/horsbug98/Part_2_mBERT_Model_E1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pert_zh.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pert_zh.md
new file mode 100644
index 000000000000..d5ea1007c76d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pert_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Cased model (from cgt)
+author: John Snow Labs
+name: bert_qa_pert
+date: 2023-11-15
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `pert-qa` is a Chinese model originally trained by `cgt`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_pert_zh_5.2.0_3.0_1700006794991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_pert_zh_5.2.0_3.0_1700006794991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_pert","zh")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_pert","zh")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_pert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/cgt/pert-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_peterhsu_bert_finetuned_squad_accelerate_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_peterhsu_bert_finetuned_squad_accelerate_en.md
new file mode 100644
index 000000000000..0f5b3df4da42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_peterhsu_bert_finetuned_squad_accelerate_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from peterhsu)
+author: John Snow Labs
+name: bert_qa_peterhsu_bert_finetuned_squad_accelerate
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-accelerate` is a English model orginally trained by `peterhsu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_peterhsu_bert_finetuned_squad_accelerate_en_5.2.0_3.0_1700007359588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_peterhsu_bert_finetuned_squad_accelerate_en_5.2.0_3.0_1700007359588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_peterhsu_bert_finetuned_squad_accelerate","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_peterhsu_bert_finetuned_squad_accelerate","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.accelerate.by_peterhsu").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_peterhsu_bert_finetuned_squad_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/peterhsu/bert-finetuned-squad-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_peterhsu_bert_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_peterhsu_bert_finetuned_squad_en.md
new file mode 100644
index 000000000000..9005693e5705
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_peterhsu_bert_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from peterhsu)
+author: John Snow Labs
+name: bert_qa_peterhsu_bert_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model orginally trained by `peterhsu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_peterhsu_bert_finetuned_squad_en_5.2.0_3.0_1700007104039.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_peterhsu_bert_finetuned_squad_en_5.2.0_3.0_1700007104039.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_peterhsu_bert_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_peterhsu_bert_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.v2.by_peterhsu").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_peterhsu_bert_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/peterhsu/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_petros89_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_petros89_finetuned_squad_en.md
new file mode 100644
index 000000000000..820e90fca5e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_petros89_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Petros89)
+author: John Snow Labs
+name: bert_qa_petros89_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `Petros89`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_petros89_finetuned_squad_en_5.2.0_3.0_1700012871512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_petros89_finetuned_squad_en_5.2.0_3.0_1700012871512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_petros89_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_petros89_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_petros89_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Petros89/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pquad_fa.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pquad_fa.md
new file mode 100644
index 000000000000..2ebe24afedbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pquad_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Cased model (from newsha)
+author: John Snow Labs
+name: bert_qa_pquad
+date: 2023-11-15
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `PQuAD` is a Persian model originally trained by `newsha`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_pquad_fa_5.2.0_3.0_1700013178126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_pquad_fa_5.2.0_3.0_1700013178126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_pquad","fa") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_pquad","fa")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_pquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/newsha/PQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pubmed_bert_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pubmed_bert_squadv2_en.md
new file mode 100644
index 000000000000..d399819f545c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_pubmed_bert_squadv2_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from franklu)
+author: John Snow Labs
+name: bert_qa_pubmed_bert_squadv2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `pubmed_bert_squadv2` is a English model orginally trained by `franklu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_pubmed_bert_squadv2_en_5.2.0_3.0_1700007643318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_pubmed_bert_squadv2_en_5.2.0_3.0_1700007643318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_pubmed_bert_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_pubmed_bert_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_pubmed.bert.v2").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_pubmed_bert_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|408.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/franklu/pubmed_bert_squadv2
+- https://rajpurkar.github.io/SQuAD-explorer/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_qa_roberta_base_chinese_extractive_zh.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_qa_roberta_base_chinese_extractive_zh.md
new file mode 100644
index 000000000000..f915d8bf408d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_qa_roberta_base_chinese_extractive_zh.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering model (from liam168)
+author: John Snow Labs
+name: bert_qa_qa_roberta_base_chinese_extractive
+date: 2023-11-15
+tags: [zh, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `qa-roberta-base-chinese-extractive` is a Chinese model orginally trained by `liam168`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_qa_roberta_base_chinese_extractive_zh_5.2.0_3.0_1700013334469.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_qa_roberta_base_chinese_extractive_zh_5.2.0_3.0_1700013334469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_qa_roberta_base_chinese_extractive","zh") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_qa_roberta_base_chinese_extractive","zh")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("zh.answer_question.bert.base.by_liam168").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_qa_roberta_base_chinese_extractive|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|380.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/liam168/qa-roberta-base-chinese-extractive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_qaconv_bert_large_uncased_whole_word_masking_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_qaconv_bert_large_uncased_whole_word_masking_squad2_en.md
new file mode 100644
index 000000000000..e2609a82f9cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_qaconv_bert_large_uncased_whole_word_masking_squad2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from Salesforce)
+author: John Snow Labs
+name: bert_qa_qaconv_bert_large_uncased_whole_word_masking_squad2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `qaconv-bert-large-uncased-whole-word-masking-squad2` is a English model orginally trained by `Salesforce`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_qaconv_bert_large_uncased_whole_word_masking_squad2_en_5.2.0_3.0_1700014185929.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_qaconv_bert_large_uncased_whole_word_masking_squad2_en_5.2.0_3.0_1700014185929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_qaconv_bert_large_uncased_whole_word_masking_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_qaconv_bert_large_uncased_whole_word_masking_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.large_uncased.by_Salesforce").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_qaconv_bert_large_uncased_whole_word_masking_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Salesforce/qaconv-bert-large-uncased-whole-word-masking-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_qgrantq_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_qgrantq_finetuned_squad_en.md
new file mode 100644
index 000000000000..7a00e175708a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_qgrantq_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from qgrantq)
+author: John Snow Labs
+name: bert_qa_qgrantq_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `qgrantq`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_qgrantq_finetuned_squad_en_5.2.0_3.0_1700007983639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_qgrantq_finetuned_squad_en_5.2.0_3.0_1700007983639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_qgrantq_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_qgrantq_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned.by_qgrantq").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_qgrantq_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/qgrantq/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_cased_squadv2_tr.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_cased_squadv2_tr.md
new file mode 100644
index 000000000000..53f232977a6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_cased_squadv2_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering Cased model (from enelpi)
+author: John Snow Labs
+name: bert_qa_question_answering_cased_squadv2
+date: 2023-11-15
+tags: [tr, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-question-answering-cased-squadv2_tr` is a Turkish model originally trained by `enelpi`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_question_answering_cased_squadv2_tr_5.2.0_3.0_1700008230626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_question_answering_cased_squadv2_tr_5.2.0_3.0_1700008230626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_question_answering_cased_squadv2","tr") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_question_answering_cased_squadv2","tr")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_question_answering_cased_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|412.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/enelpi/bert-question-answering-cased-squadv2_tr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_chinese_voidful_zh.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_chinese_voidful_zh.md
new file mode 100644
index 000000000000..bc03919db0c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_chinese_voidful_zh.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Chinese bert_qa_question_answering_chinese_voidful BertForQuestionAnswering from voidful
+author: John Snow Labs
+name: bert_qa_question_answering_chinese_voidful
+date: 2023-11-15
+tags: [bert, zh, open_source, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_question_answering_chinese_voidful` is a Chinese model originally trained by voidful.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_question_answering_chinese_voidful_zh_5.2.0_3.0_1700068229745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_question_answering_chinese_voidful_zh_5.2.0_3.0_1700068229745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_question_answering_chinese_voidful|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|381.0 MB|
+
+## References
+
+https://huggingface.co/voidful/question-answering-zh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_chinese_zh.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_chinese_zh.md
new file mode 100644
index 000000000000..5a9aacee8235
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_chinese_zh.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering model (from yechen)
+author: John Snow Labs
+name: bert_qa_question_answering_chinese
+date: 2023-11-15
+tags: [zh, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `question-answering-chinese` is a Chinese model orginally trained by `yechen`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_question_answering_chinese_zh_5.2.0_3.0_1700014729623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_question_answering_chinese_zh_5.2.0_3.0_1700014729623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_question_answering_chinese","zh") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_question_answering_chinese","zh")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("zh.answer_question.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_question_answering_chinese|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/yechen/question-answering-chinese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_uncased_squadv2_tr.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_uncased_squadv2_tr.md
new file mode 100644
index 000000000000..92b087353c70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_question_answering_uncased_squadv2_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering Uncased model (from enelpi)
+author: John Snow Labs
+name: bert_qa_question_answering_uncased_squadv2
+date: 2023-11-15
+tags: [tr, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-question-answering-uncased-squadv2_tr` is a Turkish model originally trained by `enelpi`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_question_answering_uncased_squadv2_tr_5.2.0_3.0_1700008510603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_question_answering_uncased_squadv2_tr_5.2.0_3.0_1700008510603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_question_answering_uncased_squadv2","tr") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_question_answering_uncased_squadv2","tr")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_question_answering_uncased_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|412.5 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/enelpi/bert-question-answering-uncased-squadv2_tr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_questionansweing_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_questionansweing_en.md
new file mode 100644
index 000000000000..2f5dd17a5201
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_questionansweing_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from ponmari)
+author: John Snow Labs
+name: bert_qa_questionansweing
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `QuestionAnsweingBert` is a English model originally trained by `ponmari`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_questionansweing_en_5.2.0_3.0_1700069952307.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_questionansweing_en_5.2.0_3.0_1700069952307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_questionansweing","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_questionansweing","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_ponmari").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_questionansweing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ponmari/QuestionAnsweingBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_quote_attribution_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_quote_attribution_en.md
new file mode 100644
index 000000000000..fd4c21e37c61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_quote_attribution_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from helliun)
+author: John Snow Labs
+name: bert_qa_quote_attribution
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `quote-attribution` is a English model originally trained by `helliun`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_quote_attribution_en_5.2.0_3.0_1700008758458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_quote_attribution_en_5.2.0_3.0_1700008758458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_quote_attribution","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_quote_attribution","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_quote_attribution|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/helliun/quote-attribution
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ramrajput_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ramrajput_finetuned_squad_en.md
new file mode 100644
index 000000000000..1ccddc27182c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ramrajput_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from ramrajput)
+author: John Snow Labs
+name: bert_qa_ramrajput_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `ramrajput`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ramrajput_finetuned_squad_en_5.2.0_3.0_1700071709869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ramrajput_finetuned_squad_en_5.2.0_3.0_1700071709869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ramrajput_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ramrajput_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ramrajput_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ramrajput/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_easy_squadv2_epochs_3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_easy_squadv2_epochs_3_en.md
new file mode 100644
index 000000000000..26f934efee8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_easy_squadv2_epochs_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from AnonymousSub)
+author: John Snow Labs
+name: bert_qa_recipe_triplet_base_uncased_easy_squadv2_epochs_3
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `recipe_triplet_bert-base-uncased_EASY_squadv2_epochs_3` is a English model originally trained by `AnonymousSub`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_base_uncased_easy_squadv2_epochs_3_en_5.2.0_3.0_1700073251310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_base_uncased_easy_squadv2_epochs_3_en_5.2.0_3.0_1700073251310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_base_uncased_easy_squadv2_epochs_3","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_base_uncased_easy_squadv2_epochs_3","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_recipe_triplet_base_uncased_easy_squadv2_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/AnonymousSub/recipe_triplet_bert-base-uncased_EASY_squadv2_epochs_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_easy_timestep_squadv2_epochs_3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_easy_timestep_squadv2_epochs_3_en.md
new file mode 100644
index 000000000000..0fb1355d4554
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_easy_timestep_squadv2_epochs_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from AnonymousSub)
+author: John Snow Labs
+name: bert_qa_recipe_triplet_base_uncased_easy_timestep_squadv2_epochs_3
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `recipe_triplet_bert-base-uncased_EASY_TIMESTEP_squadv2_epochs_3` is a English model originally trained by `AnonymousSub`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_base_uncased_easy_timestep_squadv2_epochs_3_en_5.2.0_3.0_1700075008869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_base_uncased_easy_timestep_squadv2_epochs_3_en_5.2.0_3.0_1700075008869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_base_uncased_easy_timestep_squadv2_epochs_3","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_base_uncased_easy_timestep_squadv2_epochs_3","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_recipe_triplet_base_uncased_easy_timestep_squadv2_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/AnonymousSub/recipe_triplet_bert-base-uncased_EASY_TIMESTEP_squadv2_epochs_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_squadv2_epochs_3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_squadv2_epochs_3_en.md
new file mode 100644
index 000000000000..2971b2c6c646
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_squadv2_epochs_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from AnonymousSub)
+author: John Snow Labs
+name: bert_qa_recipe_triplet_base_uncased_squadv2_epochs_3
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `recipe_triplet_bert-base-uncased_squadv2_epochs_3` is a English model originally trained by `AnonymousSub`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_base_uncased_squadv2_epochs_3_en_5.2.0_3.0_1700015968478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_base_uncased_squadv2_epochs_3_en_5.2.0_3.0_1700015968478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_base_uncased_squadv2_epochs_3","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_base_uncased_squadv2_epochs_3","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_recipe_triplet_base_uncased_squadv2_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/AnonymousSub/recipe_triplet_bert-base-uncased_squadv2_epochs_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_timestep_squadv2_epochs_3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_timestep_squadv2_epochs_3_en.md
new file mode 100644
index 000000000000..153c2b9aa3c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_base_uncased_timestep_squadv2_epochs_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from AnonymousSub)
+author: John Snow Labs
+name: bert_qa_recipe_triplet_base_uncased_timestep_squadv2_epochs_3
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `recipe_triplet_bert-base-uncased_TIMESTEP_squadv2_epochs_3` is a English model originally trained by `AnonymousSub`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_base_uncased_timestep_squadv2_epochs_3_en_5.2.0_3.0_1700064358012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_base_uncased_timestep_squadv2_epochs_3_en_5.2.0_3.0_1700064358012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_base_uncased_timestep_squadv2_epochs_3","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_base_uncased_timestep_squadv2_epochs_3","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_recipe_triplet_base_uncased_timestep_squadv2_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/AnonymousSub/recipe_triplet_bert-base-uncased_TIMESTEP_squadv2_epochs_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_easy_squadv2_epochs_3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_easy_squadv2_epochs_3_en.md
new file mode 100644
index 000000000000..02a9ebeda288
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_easy_squadv2_epochs_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from AnonymousSub)
+author: John Snow Labs
+name: bert_qa_recipe_triplet_recipe_base_uncased_easy_squadv2_epochs_3
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `recipe_triplet_recipe-bert-base-uncased_EASY_squadv2_epochs_3` is a English model originally trained by `AnonymousSub`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_recipe_base_uncased_easy_squadv2_epochs_3_en_5.2.0_3.0_1700064649328.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_recipe_base_uncased_easy_squadv2_epochs_3_en_5.2.0_3.0_1700064649328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_recipe_base_uncased_easy_squadv2_epochs_3","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_recipe_base_uncased_easy_squadv2_epochs_3","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_recipe_triplet_recipe_base_uncased_easy_squadv2_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/AnonymousSub/recipe_triplet_recipe-bert-base-uncased_EASY_squadv2_epochs_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_easy_timestep_squadv2_epochs_3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_easy_timestep_squadv2_epochs_3_en.md
new file mode 100644
index 000000000000..fa2ad3c91390
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_easy_timestep_squadv2_epochs_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from AnonymousSub)
+author: John Snow Labs
+name: bert_qa_recipe_triplet_recipe_base_uncased_easy_timestep_squadv2_epochs_3
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `recipe_triplet_recipe-bert-base-uncased_EASY_TIMESTEP_squadv2_epochs_3` is a English model originally trained by `AnonymousSub`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_recipe_base_uncased_easy_timestep_squadv2_epochs_3_en_5.2.0_3.0_1700076702862.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_recipe_base_uncased_easy_timestep_squadv2_epochs_3_en_5.2.0_3.0_1700076702862.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_recipe_base_uncased_easy_timestep_squadv2_epochs_3","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_recipe_base_uncased_easy_timestep_squadv2_epochs_3","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_recipe_triplet_recipe_base_uncased_easy_timestep_squadv2_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/AnonymousSub/recipe_triplet_recipe-bert-base-uncased_EASY_TIMESTEP_squadv2_epochs_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_squadv2_epochs_3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_squadv2_epochs_3_en.md
new file mode 100644
index 000000000000..878a4f7a9f8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_squadv2_epochs_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from AnonymousSub)
+author: John Snow Labs
+name: bert_qa_recipe_triplet_recipe_base_uncased_squadv2_epochs_3
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `recipe_triplet_recipe-bert-base-uncased_squadv2_epochs_3` is a English model originally trained by `AnonymousSub`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_recipe_base_uncased_squadv2_epochs_3_en_5.2.0_3.0_1700078543892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_recipe_base_uncased_squadv2_epochs_3_en_5.2.0_3.0_1700078543892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_recipe_base_uncased_squadv2_epochs_3","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_recipe_base_uncased_squadv2_epochs_3","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_recipe_triplet_recipe_base_uncased_squadv2_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/AnonymousSub/recipe_triplet_recipe-bert-base-uncased_squadv2_epochs_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_timestep_squadv2_epochs_3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_timestep_squadv2_epochs_3_en.md
new file mode 100644
index 000000000000..bb3085a0f074
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_recipe_triplet_recipe_base_uncased_timestep_squadv2_epochs_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Uncased model (from AnonymousSub)
+author: John Snow Labs
+name: bert_qa_recipe_triplet_recipe_base_uncased_timestep_squadv2_epochs_3
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `recipe_triplet_recipe-bert-base-uncased_TIMESTEP_squadv2_epochs_3` is a English model originally trained by `AnonymousSub`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_recipe_base_uncased_timestep_squadv2_epochs_3_en_5.2.0_3.0_1700080450858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_recipe_triplet_recipe_base_uncased_timestep_squadv2_epochs_3_en_5.2.0_3.0_1700080450858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_recipe_base_uncased_timestep_squadv2_epochs_3","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_recipe_triplet_recipe_base_uncased_timestep_squadv2_epochs_3","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_recipe_triplet_recipe_base_uncased_timestep_squadv2_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/AnonymousSub/recipe_triplet_recipe-bert-base-uncased_TIMESTEP_squadv2_epochs_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_results_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_results_en.md
new file mode 100644
index 000000000000..95fba0909849
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_results_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ericRosello)
+author: John Snow Labs
+name: bert_qa_results
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `results` is a English model orginally trained by `ericRosello`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_results_en_5.2.0_3.0_1700065867532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_results_en_5.2.0_3.0_1700065867532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_results","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_results","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_ericRosello").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_results|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ericRosello/results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_reza_aditya_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_reza_aditya_finetuned_squad_en.md
new file mode 100644
index 000000000000..37e4c80cce9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_reza_aditya_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from reza-aditya)
+author: John Snow Labs
+name: bert_qa_reza_aditya_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `reza-aditya`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_reza_aditya_finetuned_squad_en_5.2.0_3.0_1700081885655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_reza_aditya_finetuned_squad_en_5.2.0_3.0_1700081885655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_reza_aditya_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_reza_aditya_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_reza_aditya_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/reza-aditya/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_base_chinese_extractive_qa_zh.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_base_chinese_extractive_qa_zh.md
new file mode 100644
index 000000000000..749ca884f615
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_base_chinese_extractive_qa_zh.md
@@ -0,0 +1,113 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering model (from uer)
+author: John Snow Labs
+name: bert_qa_roberta_base_chinese_extractive_qa
+date: 2023-11-15
+tags: [zh, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `roberta-base-chinese-extractive-qa` is a Chinese model orginally trained by `uer`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_base_chinese_extractive_qa_zh_5.2.0_3.0_1700085567946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_base_chinese_extractive_qa_zh_5.2.0_3.0_1700085567946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_roberta_base_chinese_extractive_qa","zh") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_roberta_base_chinese_extractive_qa","zh")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("zh.answer_question.bert.base.by_uer").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_roberta_base_chinese_extractive_qa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|380.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/uer/roberta-base-chinese-extractive-qa
+- https://spaces.ac.cn/archives/4338
+- https://www.kesci.com/home/competition/5d142d8cbb14e6002c04e14a/content/0
+- https://github.com/dbiir/UER-py/
+- https://cloud.tencent.com/product/tione/
+- https://github.com/ymcui/cmrc2018
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_base_chinese_extractive_zh.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_base_chinese_extractive_zh.md
new file mode 100644
index 000000000000..5ced75aa0828
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_base_chinese_extractive_zh.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Base Cased model (from jackh1995)
+author: John Snow Labs
+name: bert_qa_roberta_base_chinese_extractive
+date: 2023-11-15
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `roberta-base-chinese-extractive-qa` is a Chinese model originally trained by `jackh1995`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_base_chinese_extractive_zh_5.2.0_3.0_1700083617267.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_base_chinese_extractive_zh_5.2.0_3.0_1700083617267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_roberta_base_chinese_extractive|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|380.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jackh1995/roberta-base-chinese-extractive-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_base_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_base_squad2_en.md
new file mode 100644
index 000000000000..8c58e97cca2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_base_squad2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from vvincentt)
+author: John Snow Labs
+name: bert_qa_roberta_base_squad2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `roberta-base-squad2` is a English model originally trained by `vvincentt`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_base_squad2_en_5.2.0_3.0_1700067423627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_base_squad2_en_5.2.0_3.0_1700067423627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_roberta_base_squad2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_roberta_base_squad2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_roberta_base_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vvincentt/roberta-base-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_test_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_test_en.md
new file mode 100644
index 000000000000..e34ecb105d00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from vvincentt)
+author: John Snow Labs
+name: bert_qa_roberta_test
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `roberta_test` is a English model originally trained by `vvincentt`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_test_en_5.2.0_3.0_1700089519451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_test_en_5.2.0_3.0_1700089519451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_roberta_test","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_roberta_test","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_roberta_test|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vvincentt/roberta_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_wwm_ext_larg_zh.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_wwm_ext_larg_zh.md
new file mode 100644
index 000000000000..f052cd79a985
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_roberta_wwm_ext_larg_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Cased model (from wskhanh)
+author: John Snow Labs
+name: bert_qa_roberta_wwm_ext_larg
+date: 2023-11-15
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `Roberta-wwm-ext-larg` is a Chinese model originally trained by `wskhanh`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_wwm_ext_larg_zh_5.2.0_3.0_1700064001338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_wwm_ext_larg_zh_5.2.0_3.0_1700064001338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_roberta_wwm_ext_larg","zh")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_roberta_wwm_ext_larg","zh")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_roberta_wwm_ext_larg|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/wskhanh/Roberta-wwm-ext-larg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ruselkomp_sbert_large_nlu_russian_finetuned_squad_full_ru.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ruselkomp_sbert_large_nlu_russian_finetuned_squad_full_ru.md
new file mode 100644
index 000000000000..e2e2e1f4cb68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ruselkomp_sbert_large_nlu_russian_finetuned_squad_full_ru.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Russian bert_qa_ruselkomp_sbert_large_nlu_russian_finetuned_squad_full BertForQuestionAnswering from ruselkomp
+author: John Snow Labs
+name: bert_qa_ruselkomp_sbert_large_nlu_russian_finetuned_squad_full
+date: 2023-11-15
+tags: [bert, ru, open_source, question_answering, onnx]
+task: Question Answering
+language: ru
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_ruselkomp_sbert_large_nlu_russian_finetuned_squad_full` is a Russian model originally trained by ruselkomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ruselkomp_sbert_large_nlu_russian_finetuned_squad_full_ru_5.2.0_3.0_1700010708407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ruselkomp_sbert_large_nlu_russian_finetuned_squad_full_ru_5.2.0_3.0_1700010708407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ruselkomp_sbert_large_nlu_russian_finetuned_squad_full|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ru|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/ruselkomp/sbert_large_nlu_ru-finetuned-squad-full
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_salti_bert_base_multilingual_cased_finetuned_squad_xx.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_salti_bert_base_multilingual_cased_finetuned_squad_xx.md
new file mode 100644
index 000000000000..b4c4f0b76ffd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_salti_bert_base_multilingual_cased_finetuned_squad_xx.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering model (from salti)
+author: John Snow Labs
+name: bert_qa_salti_bert_base_multilingual_cased_finetuned_squad
+date: 2023-11-15
+tags: [open_source, question_answering, bert, xx, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-multilingual-cased-finetuned-squad` is a Multilingual model orginally trained by `salti`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_salti_bert_base_multilingual_cased_finetuned_squad_xx_5.2.0_3.0_1700009569501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_salti_bert_base_multilingual_cased_finetuned_squad_xx_5.2.0_3.0_1700009569501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_salti_bert_base_multilingual_cased_finetuned_squad","xx") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_salti_bert_base_multilingual_cased_finetuned_squad","xx")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("xx.answer_question.squad.bert.multilingual_base_cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_salti_bert_base_multilingual_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/salti/bert-base-multilingual-cased-finetuned-squad
+- https://wandb.ai/salti/mBERT_QA/runs/wkqzhrp2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sangyongan30_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sangyongan30_finetuned_squad_en.md
new file mode 100644
index 000000000000..0c0b076dc12c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sangyongan30_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from sangyongan30)
+author: John Snow Labs
+name: bert_qa_sangyongan30_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `sangyongan30`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sangyongan30_finetuned_squad_en_5.2.0_3.0_1700011197408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sangyongan30_finetuned_squad_en_5.2.0_3.0_1700011197408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_sangyongan30_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_sangyongan30_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sangyongan30_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sangyongan30/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sber_full_tes_ru.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sber_full_tes_ru.md
new file mode 100644
index 000000000000..a2af090fecd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sber_full_tes_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian BertForQuestionAnswering Cased model (from ruselkomp)
+author: John Snow Labs
+name: bert_qa_sber_full_tes
+date: 2023-11-15
+tags: [ru, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ru
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `sber-full-test` is a Russian model originally trained by `ruselkomp`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sber_full_tes_ru_5.2.0_3.0_1700010222750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sber_full_tes_ru_5.2.0_3.0_1700010222750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_sber_full_tes","ru") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Как меня зовут?", "Меня зовут Клара, и я живу в Беркли."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_sber_full_tes","ru")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Как меня зовут?", "Меня зовут Клара, и я живу в Беркли.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sber_full_tes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ru|
+|Size:|1.6 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ruselkomp/sber-full-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sbert_large_nlu_russian_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sbert_large_nlu_russian_finetuned_squad_en.md
new file mode 100644
index 000000000000..a603e14f6d70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sbert_large_nlu_russian_finetuned_squad_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_sbert_large_nlu_russian_finetuned_squad BertForQuestionAnswering from ruselkomp
+author: John Snow Labs
+name: bert_qa_sbert_large_nlu_russian_finetuned_squad
+date: 2023-11-15
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_sbert_large_nlu_russian_finetuned_squad` is a English model originally trained by ruselkomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sbert_large_nlu_russian_finetuned_squad_en_5.2.0_3.0_1700010689496.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sbert_large_nlu_russian_finetuned_squad_en_5.2.0_3.0_1700010689496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sbert_large_nlu_russian_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/ruselkomp/sbert_large_nlu_ru-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sci_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sci_squadv2_en.md
new file mode 100644
index 000000000000..9ecd673564a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sci_squadv2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from jbrat)
+author: John Snow Labs
+name: bert_qa_sci_squadv2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `scibert-squadv2` is a English model originally trained by `jbrat`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sci_squadv2_en_5.2.0_3.0_1700011820213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sci_squadv2_en_5.2.0_3.0_1700011820213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_sci_squadv2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_sci_squadv2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sci_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|410.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jbrat/scibert-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_coqa_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_coqa_en.md
new file mode 100644
index 000000000000..9548415ee3bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_coqa_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from peggyhuang)
+author: John Snow Labs
+name: bert_qa_scibert_coqa
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `SciBERT-CoQA` is a English model originally trained by `peggyhuang`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_scibert_coqa_en_5.2.0_3.0_1700068925491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_scibert_coqa_en_5.2.0_3.0_1700068925491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_scibert_coqa","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_scibert_coqa","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.scibert.scibert.").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_scibert_coqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|409.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/peggyhuang/SciBERT-CoQA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_nli_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_nli_squad_en.md
new file mode 100644
index 000000000000..9160bb9c688b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_nli_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from amoux)
+author: John Snow Labs
+name: bert_qa_scibert_nli_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `scibert_nli_squad` is a English model orginally trained by `amoux`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_scibert_nli_squad_en_5.2.0_3.0_1700011023145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_scibert_nli_squad_en_5.2.0_3.0_1700011023145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_scibert_nli_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_scibert_nli_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.scibert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_scibert_nli_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/amoux/scibert_nli_squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_scivocab_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_scivocab_uncased_squad_en.md
new file mode 100644
index 000000000000..08dc69192b8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_scivocab_uncased_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from LoudlySoft)
+author: John Snow Labs
+name: bert_qa_scibert_scivocab_uncased_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `scibert_scivocab_uncased_squad` is a English model orginally trained by `LoudlySoft`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_scibert_scivocab_uncased_squad_en_5.2.0_3.0_1700012083245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_scibert_scivocab_uncased_squad_en_5.2.0_3.0_1700012083245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_scibert_scivocab_uncased_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_scibert_scivocab_uncased_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.scibert.uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_scibert_scivocab_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|410.0 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/LoudlySoft/scibert_scivocab_uncased_squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_scivocab_uncased_squad_v2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_scivocab_uncased_squad_v2_en.md
new file mode 100644
index 000000000000..2a2cf6b8338a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_scibert_scivocab_uncased_squad_v2_en.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ktrapeznikov)
+author: John Snow Labs
+name: bert_qa_scibert_scivocab_uncased_squad_v2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `scibert_scivocab_uncased_squad_v2` is a English model orginally trained by `ktrapeznikov`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_scibert_scivocab_uncased_squad_v2_en_5.2.0_3.0_1700012351870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_scibert_scivocab_uncased_squad_v2_en_5.2.0_3.0_1700012351870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_scibert_scivocab_uncased_squad_v2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_scibert_scivocab_uncased_squad_v2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.scibert.uncased_v2").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_scibert_scivocab_uncased_squad_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|410.0 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ktrapeznikov/scibert_scivocab_uncased_squad_v2
+- https://rajpurkar.github.io/SQuAD-explorer/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd1_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd1_en.md
new file mode 100644
index 000000000000..d068feb6363e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd1_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from motiondew)
+author: John Snow Labs
+name: bert_qa_sd1
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-sd1` is a English model originally trained by `motiondew`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sd1_en_5.2.0_3.0_1700070839724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sd1_en_5.2.0_3.0_1700070839724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_sd1","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_sd1","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.sd1.by_motiondew").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sd1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/motiondew/bert-sd1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd2_en.md
new file mode 100644
index 000000000000..29591c995c8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from motiondew)
+author: John Snow Labs
+name: bert_qa_sd2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-sd2` is a English model originally trained by `motiondew`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sd2_en_5.2.0_3.0_1700011295304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sd2_en_5.2.0_3.0_1700011295304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_sd2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_sd2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.sd2.by_motiondew").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sd2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/motiondew/bert-sd2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd2_lr_5e_5_bosnian_32_e_3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd2_lr_5e_5_bosnian_32_e_3_en.md
new file mode 100644
index 000000000000..18dd38c31c7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd2_lr_5e_5_bosnian_32_e_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_sd2_lr_5e_5_bosnian_32_e_3 BertForQuestionAnswering from motiondew
+author: John Snow Labs
+name: bert_qa_sd2_lr_5e_5_bosnian_32_e_3
+date: 2023-11-15
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_sd2_lr_5e_5_bosnian_32_e_3` is a English model originally trained by motiondew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sd2_lr_5e_5_bosnian_32_e_3_en_5.2.0_3.0_1700072001043.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sd2_lr_5e_5_bosnian_32_e_3_en_5.2.0_3.0_1700072001043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sd2_lr_5e_5_bosnian_32_e_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/motiondew/bert-sd2-lr-5e-5-bs-32-e-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd2_small_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd2_small_en.md
new file mode 100644
index 000000000000..75e3765e806d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd2_small_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Small Cased model (from motiondew)
+author: John Snow Labs
+name: bert_qa_sd2_small
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-sd2-small` is a English model originally trained by `motiondew`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sd2_small_en_5.2.0_3.0_1700011602299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sd2_small_en_5.2.0_3.0_1700011602299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_sd2_small","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_sd2_small","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.small.sd2_small.by_motiondew").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sd2_small|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/motiondew/bert-sd2-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd3_en.md
new file mode 100644
index 000000000000..16e6d47144c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd3_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from motiondew)
+author: John Snow Labs
+name: bert_qa_sd3
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-sd3` is a English model originally trained by `motiondew`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sd3_en_5.2.0_3.0_1700064473704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sd3_en_5.2.0_3.0_1700064473704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_sd3","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_sd3","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.sd3.by_motiondew").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sd3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/motiondew/bert-sd3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd3_small_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd3_small_en.md
new file mode 100644
index 000000000000..8401bbddd095
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sd3_small_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Small Cased model (from motiondew)
+author: John Snow Labs
+name: bert_qa_sd3_small
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-sd3-small` is a English model originally trained by `motiondew`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sd3_small_en_5.2.0_3.0_1700073781848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sd3_small_en_5.2.0_3.0_1700073781848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_sd3_small","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_sd3_small","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.small.sd3_small.by_motiondew").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sd3_small|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/motiondew/bert-sd3-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sebastians_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sebastians_finetuned_squad_en.md
new file mode 100644
index 000000000000..40c22175bccb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sebastians_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from SebastianS)
+author: John Snow Labs
+name: bert_qa_sebastians_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `SebastianS`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sebastians_finetuned_squad_en_5.2.0_3.0_1700075206741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sebastians_finetuned_squad_en_5.2.0_3.0_1700075206741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_sebastians_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_sebastians_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned_squad.by_SebastianS").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sebastians_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SebastianS/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sebochs_xtremedistil_l6_h256_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sebochs_xtremedistil_l6_h256_uncased_squad_en.md
new file mode 100644
index 000000000000..b603917c2957
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sebochs_xtremedistil_l6_h256_uncased_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from SebOchs)
+author: John Snow Labs
+name: bert_qa_sebochs_xtremedistil_l6_h256_uncased_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `xtremedistil-l6-h256-uncased-squad` is a English model originally trained by `SebOchs`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sebochs_xtremedistil_l6_h256_uncased_squad_en_5.2.0_3.0_1700064675507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sebochs_xtremedistil_l6_h256_uncased_squad_en_5.2.0_3.0_1700064675507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_sebochs_xtremedistil_l6_h256_uncased_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_sebochs_xtremedistil_l6_h256_uncased_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sebochs_xtremedistil_l6_h256_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|47.3 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SebOchs/xtremedistil-l6-h256-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_set_date_1_impartit_4_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_set_date_1_impartit_4_en.md
new file mode 100644
index 000000000000..e9a182306be7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_set_date_1_impartit_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from motiondew)
+author: John Snow Labs
+name: bert_qa_set_date_1_impartit_4
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `set_date_1-impartit_4-bert` is a English model originally trained by `motiondew`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_set_date_1_impartit_4_en_5.2.0_3.0_1700076947046.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_set_date_1_impartit_4_en_5.2.0_3.0_1700076947046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_set_date_1_impartit_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_set_date_1_impartit_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.set_date_1_impartit_4.by_motiondew").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_set_date_1_impartit_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/motiondew/set_date_1-impartit_4-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_set_date_1_lr_2e_5_bosnian_32_ep_3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_set_date_1_lr_2e_5_bosnian_32_ep_3_en.md
new file mode 100644
index 000000000000..14ffbe79b96e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_set_date_1_lr_2e_5_bosnian_32_ep_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_set_date_1_lr_2e_5_bosnian_32_ep_3 BertForQuestionAnswering from motiondew
+author: John Snow Labs
+name: bert_qa_set_date_1_lr_2e_5_bosnian_32_ep_3
+date: 2023-11-15
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_set_date_1_lr_2e_5_bosnian_32_ep_3` is a English model originally trained by motiondew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_set_date_1_lr_2e_5_bosnian_32_ep_3_en_5.2.0_3.0_1700065047343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_set_date_1_lr_2e_5_bosnian_32_ep_3_en_5.2.0_3.0_1700065047343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_set_date_3_lr_2e_5_bosnian_32_ep_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/motiondew/bert-set_date_3-lr-2e-5-bs-32-ep-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shadowtwin41_finetuned_squad_accelerate_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shadowtwin41_finetuned_squad_accelerate_en.md
new file mode 100644
index 000000000000..90d99fbba418
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shadowtwin41_finetuned_squad_accelerate_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from ShadowTwin41)
+author: John Snow Labs
+name: bert_qa_shadowtwin41_finetuned_squad_accelerate
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-accelerate` is a English model originally trained by `ShadowTwin41`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_shadowtwin41_finetuned_squad_accelerate_en_5.2.0_3.0_1700083476522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_shadowtwin41_finetuned_squad_accelerate_en_5.2.0_3.0_1700083476522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shadowtwin41_finetuned_squad_accelerate","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shadowtwin41_finetuned_squad_accelerate","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_shadowtwin41_finetuned_squad_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ShadowTwin41/bert-finetuned-squad-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shanny_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shanny_finetuned_squad_en.md
new file mode 100644
index 000000000000..2ae57f392f25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shanny_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Shanny)
+author: John Snow Labs
+name: bert_qa_shanny_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `Shanny`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_shanny_finetuned_squad_en_5.2.0_3.0_1700085140357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_shanny_finetuned_squad_en_5.2.0_3.0_1700085140357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shanny_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shanny_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_shanny_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Shanny/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shash2409_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shash2409_finetuned_squad_en.md
new file mode 100644
index 000000000000..88a8f51ad957
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shash2409_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from shash2409)
+author: John Snow Labs
+name: bert_qa_shash2409_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `shash2409`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_shash2409_finetuned_squad_en_5.2.0_3.0_1700067204546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_shash2409_finetuned_squad_en_5.2.0_3.0_1700067204546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shash2409_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shash2409_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_shash2409_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/shash2409/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shawon100_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shawon100_finetuned_squad_en.md
new file mode 100644
index 000000000000..4a833b226d03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shawon100_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from shawon100)
+author: John Snow Labs
+name: bert_qa_shawon100_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `shawon100`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_shawon100_finetuned_squad_en_5.2.0_3.0_1700068925335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_shawon100_finetuned_squad_en_5.2.0_3.0_1700068925335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shawon100_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shawon100_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_shawon100_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/shawon100/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shed_e_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shed_e_finetuned_squad_en.md
new file mode 100644
index 000000000000..f45c8a3127bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_shed_e_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from shed-e)
+author: John Snow Labs
+name: bert_qa_shed_e_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `shed-e`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_shed_e_finetuned_squad_en_5.2.0_3.0_1700012461934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_shed_e_finetuned_squad_en_5.2.0_3.0_1700012461934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shed_e_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shed_e_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_shed_e_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/shed-e/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sirah_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sirah_finetuned_squad_en.md
new file mode 100644
index 000000000000..7b3194c54e07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_sirah_finetuned_squad_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from SiraH)
+author: John Snow Labs
+name: bert_qa_sirah_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `SiraH`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sirah_finetuned_squad_en_5.2.0_3.0_1700012684291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sirah_finetuned_squad_en_5.2.0_3.0_1700012684291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_sirah_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_sirah_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sirah_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SiraH/bert-finetuned-squad
+- https://paperswithcode.com/sota?task=Question+Answering&dataset=squad_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_small_finetuned_cuad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_small_finetuned_cuad_en.md
new file mode 100644
index 000000000000..3af4cc39fd35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_small_finetuned_cuad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Small Cased model (from muhtasham)
+author: John Snow Labs
+name: bert_qa_small_finetuned_cuad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-small-finetuned-cuad` is a English model originally trained by `muhtasham`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_small_finetuned_cuad_en_5.2.0_3.0_1700086918408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_small_finetuned_cuad_en_5.2.0_3.0_1700086918408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_small_finetuned_cuad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_small_finetuned_cuad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_small_finetuned_cuad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|107.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/muhtasham/bert-small-finetuned-cuad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_small_finetuned_cuad_full_longer_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_small_finetuned_cuad_full_longer_en.md
new file mode 100644
index 000000000000..0dab11594609
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_small_finetuned_cuad_full_longer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Small Cased model (from muhtasham)
+author: John Snow Labs
+name: bert_qa_small_finetuned_cuad_full_longer
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-small-finetuned-cuad-full-longer` is a English model originally trained by `muhtasham`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_small_finetuned_cuad_full_longer_en_5.2.0_3.0_1700088314621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_small_finetuned_cuad_full_longer_en_5.2.0_3.0_1700088314621.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_small_finetuned_cuad_full_longer","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_small_finetuned_cuad_full_longer","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_small_finetuned_cuad_full_longer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|107.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/muhtasham/bert-small-finetuned-cuad-full-longer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_small_finetuned_cuad_longer_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_small_finetuned_cuad_longer_en.md
new file mode 100644
index 000000000000..d7a545834d60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_small_finetuned_cuad_longer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Small Cased model (from muhtasham)
+author: John Snow Labs
+name: bert_qa_small_finetuned_cuad_longer
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-small-finetuned-cuad-longer` is a English model originally trained by `muhtasham`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_small_finetuned_cuad_longer_en_5.2.0_3.0_1700012855006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_small_finetuned_cuad_longer_en_5.2.0_3.0_1700012855006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_small_finetuned_cuad_longer","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_small_finetuned_cuad_longer","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_small_finetuned_cuad_longer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|107.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/muhtasham/bert-small-finetuned-cuad-longer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_span_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_span_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..3e62227528d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_span_finetuned_squadv2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from vvincentt)
+author: John Snow Labs
+name: bert_qa_span_finetuned_squadv2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-finetuned-squadv2` is a English model originally trained by `vvincentt`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_span_finetuned_squadv2_en_5.2.0_3.0_1700013138777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_span_finetuned_squadv2_en_5.2.0_3.0_1700013138777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_span_finetuned_squadv2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_span_finetuned_squadv2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_span_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|402.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vvincentt/spanbert-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..e89e15f3cc03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_0_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_0
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-0` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_0_en_5.2.0_3.0_1700071314719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_0_en_5.2.0_3.0_1700071314719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_0","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_0","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_1024d_seed_0").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|389.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..b8e6af9e370c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_10_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_10
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-10` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_10_en_5.2.0_3.0_1700013423047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_10_en_5.2.0_3.0_1700013423047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_10","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_10","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_1024d_seed_10").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|389.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..44a9f69fbc31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-2` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_2_en_5.2.0_3.0_1700013676058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_2_en_5.2.0_3.0_1700013676058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_1024d_seed_2").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|389.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_42_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_42_en.md
new file mode 100644
index 000000000000..5690a0ff9a4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_42_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_42
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-42` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_42_en_5.2.0_3.0_1700090111484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_42_en_5.2.0_3.0_1700090111484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_42","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_42","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_1024d_seed_42").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|394.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..3ce5503e9fd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_4_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_4
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-4` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_4_en_5.2.0_3.0_1700012629885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_4_en_5.2.0_3.0_1700012629885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_4","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_4","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_1024d_seed_4").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|390.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..b4d07993c2a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_8_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_8
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-8` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_8_en_5.2.0_3.0_1700072907682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_8_en_5.2.0_3.0_1700072907682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_8","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_8","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_1024d_seed_8").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|390.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..c245c387c433
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_0_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_0
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-0` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_0_en_5.2.0_3.0_1700012881424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_0_en_5.2.0_3.0_1700012881424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_0","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_0","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_0_base_128d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|380.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..d0c47898e738
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_10_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_10
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-10` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_10_en_5.2.0_3.0_1700061998255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_10_en_5.2.0_3.0_1700061998255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_10","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_10","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_128d_seed_10").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|380.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..e17daa069a09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_0_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_0
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-0` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_0_en_5.2.0_3.0_1700013150885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_0_en_5.2.0_3.0_1700013150885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_0","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_0","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_0_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|375.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..69c4a1eddc98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_2_en_5.2.0_3.0_1700013427254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_2_en_5.2.0_3.0_1700013427254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_2_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|375.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..7d24bb9bc8a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_6_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_6
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-6` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_6_en_5.2.0_3.0_1700062364295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_6_en_5.2.0_3.0_1700062364295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_6","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_6","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_6_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|375.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..9447050c59f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_2_en_5.2.0_3.0_1700076683284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_2_en_5.2.0_3.0_1700076683284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_2_base_256d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|383.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..72eaa932f0c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_6_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_6
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-6` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_6_en_5.2.0_3.0_1700078543838.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_6_en_5.2.0_3.0_1700078543838.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_6","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_6","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_6_base_256d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|383.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..91c2e223cd54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_8_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_8
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-8` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_8_en_5.2.0_3.0_1700062697002.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_8_en_5.2.0_3.0_1700062697002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_8","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_8","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_8_base_256d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|383.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..101322fb7ea9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_10_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_10
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-10` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_10_en_5.2.0_3.0_1700062985400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_10_en_5.2.0_3.0_1700062985400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_10","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_10","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_32d_seed_10").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|376.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..e43dd10e0eee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_4
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-4` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_4_en_5.2.0_3.0_1700063261261.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_4_en_5.2.0_3.0_1700063261261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_4_base_32d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|376.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..20b41039741d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_6_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_6
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-6` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_6_en_5.2.0_3.0_1700063566487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_6_en_5.2.0_3.0_1700063566487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_6","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_6","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_32d_seed_6").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|376.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..f81ed18b47fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_8_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_8
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-8` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_8_en_5.2.0_3.0_1700063835701.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_8_en_5.2.0_3.0_1700063835701.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_8","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_8","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_8_base_32d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|376.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..2f13ec4e1a1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_0_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_0
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-512-finetuned-squad-seed-0` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_0_en_5.2.0_3.0_1700013682338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_0_en_5.2.0_3.0_1700013682338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_0","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_0","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_512d_seed_0").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|386.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-512-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..969859c4ad93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-512-finetuned-squad-seed-2` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_2_en_5.2.0_3.0_1700082007492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_2_en_5.2.0_3.0_1700082007492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_2_base_512d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|386.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-512-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..d905f075d078
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_4
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-512-finetuned-squad-seed-4` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_4_en_5.2.0_3.0_1700062977896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_4_en_5.2.0_3.0_1700062977896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_4_base_512d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|386.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-512-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..7faf2d485c37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_0_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_0
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-0` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_0_en_5.2.0_3.0_1700063265809.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_0_en_5.2.0_3.0_1700063265809.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_0","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_0","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_64d_seed_0").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|378.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..3ff3cb4f931e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_10_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_10
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-10` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_10_en_5.2.0_3.0_1700083820750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_10_en_5.2.0_3.0_1700083820750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_10","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_10","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_64d_seed_10").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|378.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..b313cb6e4974
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-2` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_2_en_5.2.0_3.0_1700085853659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_2_en_5.2.0_3.0_1700085853659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_64d_seed_2").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|378.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..190c4f689a2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spanbert_finetuned_squadv2_en.md
@@ -0,0 +1,114 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_spanbert_finetuned_squadv2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-finetuned-squadv2` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_finetuned_squadv2_en_5.2.0_3.0_1700089654562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_finetuned_squadv2_en_5.2.0_3.0_1700089654562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_finetuned_squadv2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.span_bert.v2").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|402.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/spanbert-finetuned-squadv2
+- https://arxiv.org/abs/1907.10529
+- https://twitter.com/mrm8488
+- https://github.com/facebookresearch
+- https://github.com/facebookresearch/SpanBERT
+- https://github.com/facebookresearch/SpanBERT#pre-trained-models
+- https://rajpurkar.github.io/SQuAD-explorer/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spasis_finetuned_squad_accelera_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spasis_finetuned_squad_accelera_en.md
new file mode 100644
index 000000000000..c1aa7bdf3478
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_spasis_finetuned_squad_accelera_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from spasis)
+author: John Snow Labs
+name: bert_qa_spasis_finetuned_squad_accelera
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-accelerate` is a English model originally trained by `spasis`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spasis_finetuned_squad_accelera_en_5.2.0_3.0_1700064116229.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spasis_finetuned_squad_accelera_en_5.2.0_3.0_1700064116229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spasis_finetuned_squad_accelera","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spasis_finetuned_squad_accelera","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned_accelera.by_spasis").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spasis_finetuned_squad_accelera|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/spasis/bert-finetuned-squad-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad1.1_1_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad1.1_1_en.md
new file mode 100644
index 000000000000..c0b4e0e815b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad1.1_1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from maroo93)
+author: John Snow Labs
+name: bert_qa_squad1.1_1
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `squad1.1_1` is a English model orginally trained by `maroo93`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_squad1.1_1_en_5.2.0_3.0_1700063541554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_squad1.1_1_en_5.2.0_3.0_1700063541554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_squad1.1_1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_squad1.1_1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.v1.1.by_maroo93").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_squad1.1_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|406.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/maroo93/squad1.1_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad2.0_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad2.0_en.md
new file mode 100644
index 000000000000..77707368717c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad2.0_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from maroo93)
+author: John Snow Labs
+name: bert_qa_squad2.0
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `squad2.0` is a English model orginally trained by `maroo93`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_squad2.0_en_5.2.0_3.0_1700063832186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_squad2.0_en_5.2.0_3.0_1700063832186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_squad2.0","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_squad2.0","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_squad2.0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/maroo93/squad2.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_malay_bert_base_ms.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_malay_bert_base_ms.md
new file mode 100644
index 000000000000..28df58e31692
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_malay_bert_base_ms.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Malay (macrolanguage) bert_qa_squad_malay_bert_base BertForQuestionAnswering from zhufy
+author: John Snow Labs
+name: bert_qa_squad_malay_bert_base
+date: 2023-11-15
+tags: [bert, ms, open_source, question_answering, onnx]
+task: Question Answering
+language: ms
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_squad_malay_bert_base` is a Malay (macrolanguage) model originally trained by zhufy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_squad_malay_bert_base_ms_5.2.0_3.0_1700064386332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_squad_malay_bert_base_ms_5.2.0_3.0_1700064386332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_squad_malay_bert_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ms|
+|Size:|412.1 MB|
+
+## References
+
+https://huggingface.co/zhufy/squad-ms-bert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_mbert_model_2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_mbert_model_2_en.md
new file mode 100644
index 000000000000..0f65f28da5bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_mbert_model_2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ZYW)
+author: John Snow Labs
+name: bert_qa_squad_mbert_model_2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `squad-mbert-model_2` is a English model orginally trained by `ZYW`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_squad_mbert_model_2_en_5.2.0_3.0_1700064192848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_squad_mbert_model_2_en_5.2.0_3.0_1700064192848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_squad_mbert_model_2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_squad_mbert_model_2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.multi_lingual_bert.v2.by_ZYW").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_squad_mbert_model_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ZYW/squad-mbert-model_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_with_greetings_v2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_with_greetings_v2_en.md
new file mode 100644
index 000000000000..81bba63735d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_with_greetings_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from moquanyi)
+author: John Snow Labs
+name: bert_qa_squad_with_greetings_v2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `squad_with_greetings-v2` is a English model originally trained by `moquanyi`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_squad_with_greetings_v2_en_5.2.0_3.0_1700064472186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_squad_with_greetings_v2_en_5.2.0_3.0_1700064472186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_squad_with_greetings_v2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_squad_with_greetings_v2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_squad_with_greetings_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/moquanyi/squad_with_greetings-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_xxl_cased_hub1_it.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_xxl_cased_hub1_it.md
new file mode 100644
index 000000000000..15698bbf859b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_squad_xxl_cased_hub1_it.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: Italian BertForQuestionAnswering model (from luigisaetta)
+author: John Snow Labs
+name: bert_qa_squad_xxl_cased_hub1
+date: 2023-11-15
+tags: [it, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: it
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `squad_it_xxl_cased_hub1` is a Italian model originally trained by `luigisaetta`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_squad_xxl_cased_hub1_it_5.2.0_3.0_1700064714351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_squad_xxl_cased_hub1_it_5.2.0_3.0_1700064714351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_squad_xxl_cased_hub1","it") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Qual è il mio nome?", "Mi chiamo Clara e vivo a Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_squad_xxl_cased_hub1","it")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Qual è il mio nome?", "Mi chiamo Clara e vivo a Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("it.answer_question.squad.bert.xxl_cased").predict("""Qual è il mio nome?|||"Mi chiamo Clara e vivo a Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_squad_xxl_cased_hub1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|it|
+|Size:|412.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/luigisaetta/squad_it_xxl_cased_hub1
+- https://github.com/luigisaetta/nlp-qa-italian/blob/main/train_squad_it_final1.ipynb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_srcoc_es.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_srcoc_es.md
new file mode 100644
index 000000000000..ceddc0e1054f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_srcoc_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Spanish BertForQuestionAnswering Cased model (from srcocotero)
+author: John Snow Labs
+name: bert_qa_srcoc
+date: 2023-11-15
+tags: [es, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-qa-es` is a Spanish model originally trained by `srcocotero`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_srcoc_es_5.2.0_3.0_1700066156853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_srcoc_es_5.2.0_3.0_1700066156853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_srcoc","es")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_srcoc","es")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_srcoc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|409.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/srcocotero/bert-qa-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_srmukundb_bert_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_srmukundb_bert_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..d229291c7202
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_srmukundb_bert_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from srmukundb)
+author: John Snow Labs
+name: bert_qa_srmukundb_bert_base_uncased_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-squad` is a English model orginally trained by `srmukundb`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_srmukundb_bert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700064675052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_srmukundb_bert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700064675052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_srmukundb_bert_base_uncased_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_srmukundb_bert_base_uncased_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased.by_srmukundb").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_srmukundb_bert_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/srmukundb/bert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ss756_base_cased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ss756_base_cased_finetuned_squad_en.md
new file mode 100644
index 000000000000..151d524175df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_ss756_base_cased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from ss756)
+author: John Snow Labs
+name: bert_qa_ss756_base_cased_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-finetuned-squad` is a English model originally trained by `ss756`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ss756_base_cased_finetuned_squad_en_5.2.0_3.0_1700065720292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ss756_base_cased_finetuned_squad_en_5.2.0_3.0_1700065720292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ss756_base_cased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ss756_base_cased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ss756_base_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ss756/bert-base-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_susghosh_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_susghosh_finetuned_squad_en.md
new file mode 100644
index 000000000000..aabf15320c04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_susghosh_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from susghosh)
+author: John Snow Labs
+name: bert_qa_susghosh_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `susghosh`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_susghosh_finetuned_squad_en_5.2.0_3.0_1700068229977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_susghosh_finetuned_squad_en_5.2.0_3.0_1700068229977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_susghosh_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_susghosh_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned.by_susghosh").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_susghosh_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/susghosh/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_telugu_bertu_tydiqa_xx.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_telugu_bertu_tydiqa_xx.md
new file mode 100644
index 000000000000..3cda2c558217
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_telugu_bertu_tydiqa_xx.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: Multilingual BertForQuestionAnswering model (from kuppuluri)
+author: John Snow Labs
+name: bert_qa_telugu_bertu_tydiqa
+date: 2023-11-15
+tags: [te, en, open_source, question_answering, bert, xx, onnx]
+task: Question Answering
+language: xx
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `telugu_bertu_tydiqa` is a Multilingual model orginally trained by `kuppuluri`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_telugu_bertu_tydiqa_xx_5.2.0_3.0_1700067667402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_telugu_bertu_tydiqa_xx_5.2.0_3.0_1700067667402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_telugu_bertu_tydiqa","xx") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_telugu_bertu_tydiqa","xx")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("xx.answer_question.tydiqa.bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_telugu_bertu_tydiqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|412.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/kuppuluri/telugu_bertu_tydiqa
+- https://github.com/google-research-datasets/tydiqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_test01_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_test01_en.md
new file mode 100644
index 000000000000..4e9aed238da1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_test01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Akert)
+author: John Snow Labs
+name: bert_qa_test01
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `test01` is a English model originally trained by `Akert`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_test01_en_5.2.0_3.0_1700071870324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_test01_en_5.2.0_3.0_1700071870324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_test01","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_test01","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_test01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Akert/test01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tiny_wrslb_finetuned_squadv1_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tiny_wrslb_finetuned_squadv1_en.md
new file mode 100644
index 000000000000..eb2d623050fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tiny_wrslb_finetuned_squadv1_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Tiny model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_tiny_wrslb_finetuned_squadv1
+date: 2023-11-15
+tags: [open_source, bert, question_answering, tiny, en, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BERT Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-tiny-wrslb-finetuned-squadv1` is a English model originally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tiny_wrslb_finetuned_squadv1_en_5.2.0_3.0_1700072728247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tiny_wrslb_finetuned_squadv1_en_5.2.0_3.0_1700072728247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tiny_wrslb_finetuned_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|16.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+https://huggingface.co/mrm8488/bert-tiny-wrslb-finetuned-squadv1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tinybert_6l_768d_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tinybert_6l_768d_squad2_en.md
new file mode 100644
index 000000000000..b6b5e5df90a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tinybert_6l_768d_squad2_en.md
@@ -0,0 +1,119 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from deepset)
+author: John Snow Labs
+name: bert_qa_tinybert_6l_768d_squad2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `tinybert-6l-768d-squad2` is a English model orginally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_6l_768d_squad2_en_5.2.0_3.0_1700069667496.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_6l_768d_squad2_en_5.2.0_3.0_1700069667496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_tinybert_6l_768d_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_tinybert_6l_768d_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.tiny_768d").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tinybert_6l_768d_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|248.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepset/tinybert-6l-768d-squad2
+- https://github.com/deepset-ai/haystack/discussions
+- https://deepset.ai
+- https://twitter.com/deepset_ai
+- http://www.deepset.ai/jobs
+- https://haystack.deepset.ai/community/join
+- https://github.com/deepset-ai/haystack/
+- https://deepset.ai/german-bert
+- https://www.linkedin.com/company/deepset-ai/
+- https://arxiv.org/pdf/1909.10351.pdf
+- https://github.com/deepset-ai/FARM
+- https://deepset.ai/germanquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tinybert_6l_768d_squad2_large_teach_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tinybert_6l_768d_squad2_large_teach_en.md
new file mode 100644
index 000000000000..41db7b2d0726
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tinybert_6l_768d_squad2_large_teach_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Tiny Cased model (from MichelBartels)
+author: John Snow Labs
+name: bert_qa_tinybert_6l_768d_squad2_large_teach
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `tinybert-6l-768d-squad2-large-teacher` is a English model originally trained by `MichelBartels`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_6l_768d_squad2_large_teach_en_5.2.0_3.0_1700071106122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_6l_768d_squad2_large_teach_en_5.2.0_3.0_1700071106122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_tinybert_6l_768d_squad2_large_teach","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_tinybert_6l_768d_squad2_large_teach","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2.large_tiny_768d").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tinybert_6l_768d_squad2_large_teach|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|249.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MichelBartels/tinybert-6l-768d-squad2-large-teacher
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tinybert_general_4l_312d_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tinybert_general_4l_312d_squad_en.md
new file mode 100644
index 000000000000..67b083d08a32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_tinybert_general_4l_312d_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Tiny Cased model (from haritzpuerto)
+author: John Snow Labs
+name: bert_qa_tinybert_general_4l_312d_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `TinyBERT_General_4L_312D-squad` is a English model originally trained by `haritzpuerto`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_general_4l_312d_squad_en_5.2.0_3.0_1700076181489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_general_4l_312d_squad_en_5.2.0_3.0_1700076181489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_tinybert_general_4l_312d_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_tinybert_general_4l_312d_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.tiny").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tinybert_general_4l_312d_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|53.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/haritzpuerto/TinyBERT_General_4L_312D-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_en.md
new file mode 100644
index 000000000000..630075e8dc7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from aodiniz)
+author: John Snow Labs
+name: bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert_uncased_L-6_H-128_A-2_cord19-200616_squad2` is a English model originally trained by `aodiniz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_en_5.2.0_3.0_1700072728267.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_en_5.2.0_3.0_1700072728267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2_cord19.uncased_6l_128d_a2a_128d").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|19.6 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aodiniz/bert_uncased_L-6_H-128_A-2_cord19-200616_squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_vedants01_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_vedants01_finetuned_squad_en.md
new file mode 100644
index 000000000000..261a98ac738f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_vedants01_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from VedantS01)
+author: John Snow Labs
+name: bert_qa_vedants01_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `VedantS01`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_vedants01_finetuned_squad_en_5.2.0_3.0_1700076702685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_vedants01_finetuned_squad_en_5.2.0_3.0_1700076702685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_vedants01_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_vedants01_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_vedants01_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/VedantS01/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_victorlee071200_base_cased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_victorlee071200_base_cased_finetuned_squad_en.md
new file mode 100644
index 000000000000..58f63c171710
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_victorlee071200_base_cased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from victorlee071200)
+author: John Snow Labs
+name: bert_qa_victorlee071200_base_cased_finetuned_squad
+date: 2023-11-15
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-cased-finetuned-squad` is a English model originally trained by `victorlee071200`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_victorlee071200_base_cased_finetuned_squad_en_5.2.0_3.0_1700078403143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_victorlee071200_base_cased_finetuned_squad_en_5.2.0_3.0_1700078403143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_victorlee071200_base_cased_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_victorlee071200_base_cased_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.cased_base_finetuned.by_victorlee071200").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_victorlee071200_base_cased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/victorlee071200/bert-base-cased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_xdistil_l12_h384_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_xdistil_l12_h384_squad2_en.md
new file mode 100644
index 000000000000..dfb92631d346
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_xdistil_l12_h384_squad2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from nbroad)
+author: John Snow Labs
+name: bert_qa_xdistil_l12_h384_squad2
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `xdistil-l12-h384-squad2` is a English model orginally trained by `nbroad`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_xdistil_l12_h384_squad2_en_5.2.0_3.0_1700082106520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_xdistil_l12_h384_squad2_en_5.2.0_3.0_1700082106520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_xdistil_l12_h384_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_xdistil_l12_h384_squad2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.distilled").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_xdistil_l12_h384_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|123.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/nbroad/xdistil-l12-h384-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_3_en.md b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_3_en.md
new file mode 100644
index 000000000000..1101a45a3fd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_3_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from husnu)
+author: John Snow Labs
+name: bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_3
+date: 2023-11-15
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `xtremedistil-l6-h256-uncased-finetuned_lr-2e-05_epochs-3` is a English model orginally trained by `husnu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_3_en_5.2.0_3.0_1700083536001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_3_en_5.2.0_3.0_1700083536001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_3","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_3","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.xtremedistiled_uncased_lr_2e_05_epochs_3.by_husnu").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|47.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/husnu/xtremedistil-l6-h256-uncased-finetuned_lr-2e-05_epochs-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-electra_qa_araelectra_discriminator_soqal_ar.md b/docs/_posts/ahmedlone127/2023-11-15-electra_qa_araelectra_discriminator_soqal_ar.md
new file mode 100644
index 000000000000..fd6664d63b5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-electra_qa_araelectra_discriminator_soqal_ar.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: Arabic electra_qa_araelectra_discriminator_soqal BertForQuestionAnswering from Damith
+author: John Snow Labs
+name: electra_qa_araelectra_discriminator_soqal
+date: 2023-11-15
+tags: [bert, ar, open_source, question_answering, onnx]
+task: Question Answering
+language: ar
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_qa_araelectra_discriminator_soqal` is a Arabic model originally trained by Damith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_araelectra_discriminator_soqal_ar_5.2.0_3.0_1700089728517.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_araelectra_discriminator_soqal_ar_5.2.0_3.0_1700089728517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_araelectra_discriminator_soqal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ar|
+|Size:|504.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/Damith/AraELECTRA-discriminator-SOQAL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-electra_qa_base_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-15-electra_qa_base_chaii_en.md
new file mode 100644
index 000000000000..976afd85711b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-electra_qa_base_chaii_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from SauravMaheshkar)
+author: John Snow Labs
+name: electra_qa_base_chaii
+date: 2023-11-15
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-base-chaii` is a English model originally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_base_chaii_en_5.2.0_3.0_1700090287058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_base_chaii_en_5.2.0_3.0_1700090287058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_base_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_base_chaii","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.electra.base").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_base_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|408.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/electra-base-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-15-electra_qa_biom_base_squad2_bioasq8b_en.md b/docs/_posts/ahmedlone127/2023-11-15-electra_qa_biom_base_squad2_bioasq8b_en.md
new file mode 100644
index 000000000000..c828219745a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-15-electra_qa_biom_base_squad2_bioasq8b_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English electra_qa_biom_base_squad2_bioasq8b BertForQuestionAnswering from sultan
+author: John Snow Labs
+name: electra_qa_biom_base_squad2_bioasq8b
+date: 2023-11-15
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_qa_biom_base_squad2_bioasq8b` is a English model originally trained by sultan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_biom_base_squad2_bioasq8b_en_5.2.0_3.0_1700082106995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_biom_base_squad2_bioasq8b_en_5.2.0_3.0_1700082106995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_mrqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/VMware/bert-large-mrqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_roberta_base_chinese_extractive_qa_scratch_zh.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_roberta_base_chinese_extractive_qa_scratch_zh.md
new file mode 100644
index 000000000000..315d3b5a9584
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_roberta_base_chinese_extractive_qa_scratch_zh.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering model (from jackh1995)
+author: John Snow Labs
+name: bert_qa_roberta_base_chinese_extractive_qa_scratch
+date: 2023-11-16
+tags: [zh, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `roberta-base-chinese-extractive-qa-scratch` is a Chinese model orginally trained by `jackh1995`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_base_chinese_extractive_qa_scratch_zh_5.2.0_3.0_1700140746123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_roberta_base_chinese_extractive_qa_scratch_zh_5.2.0_3.0_1700140746123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_roberta_base_chinese_extractive_qa_scratch","zh") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_roberta_base_chinese_extractive_qa_scratch","zh")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("zh.answer_question.bert.base.by_jackh1995").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_roberta_base_chinese_extractive_qa_scratch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|zh|
+|Size:|407.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jackh1995/roberta-base-chinese-extractive-qa-scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_rule_softmatching_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_rule_softmatching_en.md
new file mode 100644
index 000000000000..9f4ea5cb14a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_rule_softmatching_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from enoriega)
+author: John Snow Labs
+name: bert_qa_rule_softmatching
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `rule_softmatching` is a English model originally trained by `enoriega`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_rule_softmatching_en_5.2.0_3.0_1700141019762.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_rule_softmatching_en_5.2.0_3.0_1700141019762.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_rule_softmatching","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_rule_softmatching","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.by_enoriega").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_rule_softmatching|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/enoriega/rule_softmatching
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_sagemaker_bioclinicalbert_adr_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_sagemaker_bioclinicalbert_adr_en.md
new file mode 100644
index 000000000000..73f3fef1cd66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_sagemaker_bioclinicalbert_adr_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_sagemaker_bioclinicalbert_adr BertForQuestionAnswering from anindabitm
+author: John Snow Labs
+name: bert_qa_sagemaker_bioclinicalbert_adr
+date: 2023-11-16
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_sagemaker_bioclinicalbert_adr` is a English model originally trained by anindabitm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sagemaker_bioclinicalbert_adr_en_5.2.0_3.0_1700141304291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sagemaker_bioclinicalbert_adr_en_5.2.0_3.0_1700141304291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sagemaker_bioclinicalbert_adr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/anindabitm/sagemaker-BioclinicalBERT-ADR
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_sasuke_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_sasuke_finetuned_squad_en.md
new file mode 100644
index 000000000000..75e0fc873f47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_sasuke_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from sasuke)
+author: John Snow Labs
+name: bert_qa_sasuke_finetuned_squad
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `sasuke`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sasuke_finetuned_squad_en_5.2.0_3.0_1700096158969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sasuke_finetuned_squad_en_5.2.0_3.0_1700096158969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_sasuke_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_sasuke_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sasuke_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sasuke/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_sd1_small_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_sd1_small_en.md
new file mode 100644
index 000000000000..36e6b1104a35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_sd1_small_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Small Cased model (from motiondew)
+author: John Snow Labs
+name: bert_qa_sd1_small
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-sd1-small` is a English model originally trained by `motiondew`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_sd1_small_en_5.2.0_3.0_1700097709617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_sd1_small_en_5.2.0_3.0_1700097709617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_sd1_small","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_sd1_small","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.small").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_sd1_small|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/motiondew/bert-sd1-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_set_date_3_lr_3e_5_bosnian_32_ep_3_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_set_date_3_lr_3e_5_bosnian_32_ep_3_en.md
new file mode 100644
index 000000000000..20e6c7f548dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_set_date_3_lr_3e_5_bosnian_32_ep_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_set_date_3_lr_3e_5_bosnian_32_ep_3 BertForQuestionAnswering from motiondew
+author: John Snow Labs
+name: bert_qa_set_date_3_lr_3e_5_bosnian_32_ep_3
+date: 2023-11-16
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_set_date_3_lr_3e_5_bosnian_32_ep_3` is a English model originally trained by motiondew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_set_date_3_lr_3e_5_bosnian_32_ep_3_en_5.2.0_3.0_1700099070600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_set_date_3_lr_3e_5_bosnian_32_ep_3_en_5.2.0_3.0_1700099070600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_set_date_3_lr_3e_5_bosnian_32_ep_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/motiondew/bert-set_date_3-lr-3e-5-bs-32-ep-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_shashank1303_finetuned_squad_accelerate_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_shashank1303_finetuned_squad_accelerate_en.md
new file mode 100644
index 000000000000..f97da78402b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_shashank1303_finetuned_squad_accelerate_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from shashank1303)
+author: John Snow Labs
+name: bert_qa_shashank1303_finetuned_squad_accelerate
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-accelerate` is a English model originally trained by `shashank1303`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_shashank1303_finetuned_squad_accelerate_en_5.2.0_3.0_1700100817571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_shashank1303_finetuned_squad_accelerate_en_5.2.0_3.0_1700100817571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shashank1303_finetuned_squad_accelerate","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_shashank1303_finetuned_squad_accelerate","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_shashank1303_finetuned_squad_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/shashank1303/bert-finetuned-squad-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_small_finetuned_cuad_full_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_small_finetuned_cuad_full_en.md
new file mode 100644
index 000000000000..6138dc190360
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_small_finetuned_cuad_full_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Small Cased model (from muhtasham)
+author: John Snow Labs
+name: bert_qa_small_finetuned_cuad_full
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-small-finetuned-cuad-full` is a English model originally trained by `muhtasham`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_small_finetuned_cuad_full_en_5.2.0_3.0_1700102019793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_small_finetuned_cuad_full_en_5.2.0_3.0_1700102019793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_small_finetuned_cuad_full","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_small_finetuned_cuad_full","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_small_finetuned_cuad_full|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|107.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/muhtasham/bert-small-finetuned-cuad-full
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..b5ddcf111599
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_6_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_6
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-6` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_6_en_5.2.0_3.0_1700141625010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_6_en_5.2.0_3.0_1700141625010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_6","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_6","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_1024d_seed_6").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_1024_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|390.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_42_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_42_en.md
new file mode 100644
index 000000000000..c092b915b24e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_42_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_42
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-42` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_42_en_5.2.0_3.0_1700108220647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_42_en_5.2.0_3.0_1700108220647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_42","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_42","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_42_base_128d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|384.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..d2bb5ec1d69b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_4_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_4
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-4` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_4_en_5.2.0_3.0_1700106348085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_4_en_5.2.0_3.0_1700106348085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_4","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_4","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_128d_seed_4").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|380.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..f66381b6a99c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_6_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_6
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-6` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_6_en_5.2.0_3.0_1700140753164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_6_en_5.2.0_3.0_1700140753164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_6","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_6","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_128d_seed_6").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|380.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..158339a3cf1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_8_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_8
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-8` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_8_en_5.2.0_3.0_1700141048381.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_8_en_5.2.0_3.0_1700141048381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_8","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_8","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_128d_seed_8").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_128_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|380.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-128-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..bb7669d6e431
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_10_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_10
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-10` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_10_en_5.2.0_3.0_1700096426899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_10_en_5.2.0_3.0_1700096426899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_10","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_10","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_10_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|375.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_42_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_42_en.md
new file mode 100644
index 000000000000..9f9936343e79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_42_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_42
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-42` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_42_en_5.2.0_3.0_1700141920271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_42_en_5.2.0_3.0_1700141920271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_42","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_42","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_seed_42").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|380.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..a35709e19c89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_4
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-4` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_4_en_5.2.0_3.0_1700110051006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_4_en_5.2.0_3.0_1700110051006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_4_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|375.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..9934969c0232
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_8_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_8
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-8` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_8_en_5.2.0_3.0_1700140756897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_8_en_5.2.0_3.0_1700140756897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_8","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_8","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_8_base_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_16_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|375.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-16-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..87d326765fa0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_0_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_0
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-0` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_0_en_5.2.0_3.0_1700113931035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_0_en_5.2.0_3.0_1700113931035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_0","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_0","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_0_base_256d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|383.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..06a10de7b0a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_10_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_10
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-10` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_10_en_5.2.0_3.0_1700098256022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_10_en_5.2.0_3.0_1700098256022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_10","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_10","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_256d_seed_10").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|383.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..dcf80385735c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_4
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-4` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_4_en_5.2.0_3.0_1700099917692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_4_en_5.2.0_3.0_1700099917692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_4","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_4","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_4_base_256d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_256_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|383.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-256-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_0_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_0_en.md
new file mode 100644
index 000000000000..c17c0dc9d351
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_0_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_0
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-0` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_0_en_5.2.0_3.0_1700141052019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_0_en_5.2.0_3.0_1700141052019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_0","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_0","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_32d_seed_0").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|376.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_2_en.md
new file mode 100644
index 000000000000..5e203a207a3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_2_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_2
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-2` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_2_en_5.2.0_3.0_1700142255782.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_2_en_5.2.0_3.0_1700142255782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_2","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_32d_seed_2").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_32_finetuned_squad_seed_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|376.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-32-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_10_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_10_en.md
new file mode 100644
index 000000000000..93d3071181b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_10_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_10
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-512-finetuned-squad-seed-10` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_10_en_5.2.0_3.0_1700142645727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_10_en_5.2.0_3.0_1700142645727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_10","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_10","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_512d_seed_10").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|386.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-512-finetuned-squad-seed-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..11a605caf300
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_8_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_8
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-512-finetuned-squad-seed-8` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_8_en_5.2.0_3.0_1700122406393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_8_en_5.2.0_3.0_1700122406393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_8","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_8","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_512d_seed_8").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_512_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|386.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-512-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_4_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_4_en.md
new file mode 100644
index 000000000000..4a851c7ad5fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_4_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_4
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-4` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_4_en_5.2.0_3.0_1700141314824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_4_en_5.2.0_3.0_1700141314824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_4","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_4","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_64d_seed_4").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|378.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_6_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_6_en.md
new file mode 100644
index 000000000000..db467a9ff38a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_6_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_6
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-6` is a English model orginally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_6_en_5.2.0_3.0_1700101758893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_6_en_5.2.0_3.0_1700101758893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_6","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_6","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert.base_cased_64d_seed_6").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|378.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_8_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_8_en.md
new file mode 100644
index 000000000000..b339645f3b4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_8_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_8
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-8` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_8_en_5.2.0_3.0_1700124031626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_8_en_5.2.0_3.0_1700124031626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_8","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_8","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.cased_seed_8_base_64d_finetuned_few_shot").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_cased_few_shot_k_64_finetuned_squad_seed_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|378.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-cased-few-shot-k-64-finetuned-squad-seed-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_finetuned_squad_r3f_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_finetuned_squad_r3f_en.md
new file mode 100644
index 000000000000..fa35314be944
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_base_finetuned_squad_r3f_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Base Cased model (from anas-awadalla)
+author: John Snow Labs
+name: bert_qa_spanbert_base_finetuned_squad_r3f
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-base-finetuned-squad-r3f` is a English model originally trained by `anas-awadalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_finetuned_squad_r3f_en_5.2.0_3.0_1700125587369.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_base_finetuned_squad_r3f_en_5.2.0_3.0_1700125587369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_finetuned_squad_r3f","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_spanbert_base_finetuned_squad_r3f","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.squad.base_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_base_finetuned_squad_r3f|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|399.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anas-awadalla/spanbert-base-finetuned-squad-r3f
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_finetuned_squadv1_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_finetuned_squadv1_en.md
new file mode 100644
index 000000000000..cf2374846ae5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_finetuned_squadv1_en.md
@@ -0,0 +1,115 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: bert_qa_spanbert_finetuned_squadv1
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-finetuned-squadv1` is a English model orginally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_finetuned_squadv1_en_5.2.0_3.0_1700103584619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_finetuned_squadv1_en_5.2.0_3.0_1700103584619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_finetuned_squadv1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_finetuned_squadv1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.span_bert").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_finetuned_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|402.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/spanbert-finetuned-squadv1
+- https://arxiv.org/abs/1907.10529
+- https://twitter.com/mrm8488
+- https://github.com/facebookresearch
+- https://github.com/facebookresearch/SpanBERT
+- https://github.com/facebookresearch/SpanBERT#pre-trained-models
+- https://rajpurkar.github.io/SQuAD-explorer/
+- https://www.linkedin.com/in/manuel-romero-cs/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_large_recruit_qa_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_large_recruit_qa_en.md
new file mode 100644
index 000000000000..be0a31b5e872
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_large_recruit_qa_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from manishiitg)
+author: John Snow Labs
+name: bert_qa_spanbert_large_recruit_qa
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-large-recruit-qa` is a English model orginally trained by `manishiitg`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_large_recruit_qa_en_5.2.0_3.0_1700141860561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_large_recruit_qa_en_5.2.0_3.0_1700141860561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_large_recruit_qa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_large_recruit_qa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.large").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_large_recruit_qa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/manishiitg/spanbert-large-recruit-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_recruit_qa_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_recruit_qa_en.md
new file mode 100644
index 000000000000..38e9e252556f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_spanbert_recruit_qa_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from manishiitg)
+author: John Snow Labs
+name: bert_qa_spanbert_recruit_qa
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `spanbert-recruit-qa` is a English model orginally trained by `manishiitg`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_recruit_qa_en_5.2.0_3.0_1700141653812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_spanbert_recruit_qa_en_5.2.0_3.0_1700141653812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_spanbert_recruit_qa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_spanbert_recruit_qa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.span_bert.by_manishiitg").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_spanbert_recruit_qa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/manishiitg/spanbert-recruit-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_squad1.1_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_squad1.1_en.md
new file mode 100644
index 000000000000..bac6fee993bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_squad1.1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from maroo93)
+author: John Snow Labs
+name: bert_qa_squad1.1
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `squad1.1` is a English model orginally trained by `maroo93`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_squad1.1_en_5.2.0_3.0_1700107972423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_squad1.1_en_5.2.0_3.0_1700107972423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_squad1.1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_squad1.1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_maroo93").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_squad1.1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/maroo93/squad1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_squad_baseline_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_squad_baseline_en.md
new file mode 100644
index 000000000000..bd139592541b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_squad_baseline_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from xraychen)
+author: John Snow Labs
+name: bert_qa_squad_baseline
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `squad-baseline` is a English model orginally trained by `xraychen`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_squad_baseline_en_5.2.0_3.0_1700109612502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_squad_baseline_en_5.2.0_3.0_1700109612502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_squad_baseline","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_squad_baseline","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base.by_xraychen").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_squad_baseline|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/xraychen/squad-baseline
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_squad_english_bert_base_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_squad_english_bert_base_en.md
new file mode 100644
index 000000000000..ad4ab9213f75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_squad_english_bert_base_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_qa_squad_english_bert_base BertForQuestionAnswering from zhufy
+author: John Snow Labs
+name: bert_qa_squad_english_bert_base
+date: 2023-11-16
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_squad_english_bert_base` is a English model originally trained by zhufy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_squad_english_bert_base_en_5.2.0_3.0_1700110927573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_squad_english_bert_base_en_5.2.0_3.0_1700110927573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_squad_english_bert_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/zhufy/squad-en-bert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_swahili_question_answer_latest_cased_sw.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_swahili_question_answer_latest_cased_sw.md
new file mode 100644
index 000000000000..6e8ac8653497
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_swahili_question_answer_latest_cased_sw.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: Swahili BertForQuestionAnswering Cased model (from innocent-charles)
+author: John Snow Labs
+name: bert_qa_swahili_question_answer_latest_cased
+date: 2023-11-16
+tags: [sw, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: sw
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `Swahili-question-answer-latest-cased` is a Swahili model originally trained by `innocent-charles`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_swahili_question_answer_latest_cased_sw_5.2.0_3.0_1700140782767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_swahili_question_answer_latest_cased_sw_5.2.0_3.0_1700140782767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_swahili_question_answer_latest_cased","sw")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_swahili_question_answer_latest_cased","sw")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_swahili_question_answer_latest_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|sw|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/innocent-charles/Swahili-question-answer-latest-cased
+- https://github.com/Neurotech-HQ/Swahili-QA-dataset
+- https://blog.neurotech.africa/building-swahili-question-and-answering-with-haystack/
+- https://github.com/deepset-ai/haystack/
+- https://haystack.deepset.ai
+- https://www.linkedin.com/in/innocent-charles/
+- https://github.com/innocent-charles
+- https://paperswithcode.com/sota?task=Question+Answering&dataset=kenyacorpus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_test02_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_test02_en.md
new file mode 100644
index 000000000000..c3726256f1f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_test02_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from Akert)
+author: John Snow Labs
+name: bert_qa_test02
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `test02` is a English model originally trained by `Akert`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_test02_en_5.2.0_3.0_1700153810019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_test02_en_5.2.0_3.0_1700153810019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_test02","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_test02","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_test02|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Akert/test02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_testpersianqa_fa.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_testpersianqa_fa.md
new file mode 100644
index 000000000000..f5ee7ac05528
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_testpersianqa_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian BertForQuestionAnswering Cased model (from AlirezaBaneshi)
+author: John Snow Labs
+name: bert_qa_testpersianqa
+date: 2023-11-16
+tags: [fa, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: fa
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `testPersianQA` is a Persian model originally trained by `AlirezaBaneshi`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_testpersianqa_fa_5.2.0_3.0_1700141974295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_testpersianqa_fa_5.2.0_3.0_1700141974295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_testpersianqa","fa") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_testpersianqa","fa")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("اسم من چیست؟", "نام من کلارا است و من در برکلی زندگی می کنم.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_testpersianqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|fa|
+|Size:|606.5 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/AlirezaBaneshi/testPersianQA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tests_finetuned_squad_test_bert_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tests_finetuned_squad_test_bert_en.md
new file mode 100644
index 000000000000..025bc4be174c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tests_finetuned_squad_test_bert_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from ruselkomp)
+author: John Snow Labs
+name: bert_qa_tests_finetuned_squad_test_bert
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `tests-finetuned-squad-test-bert` is a English model orginally trained by `ruselkomp`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tests_finetuned_squad_test_bert_en_5.2.0_3.0_1700142647414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tests_finetuned_squad_test_bert_en_5.2.0_3.0_1700142647414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_tests_finetuned_squad_test_bert","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_tests_finetuned_squad_test_bert","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.by_ruselkomp").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tests_finetuned_squad_test_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.6 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ruselkomp/tests-finetuned-squad-test-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_thai_bert_multi_cased_finetuned_xquadv1_finetuned_squad_th.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_thai_bert_multi_cased_finetuned_xquadv1_finetuned_squad_th.md
new file mode 100644
index 000000000000..35c224af24a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_thai_bert_multi_cased_finetuned_xquadv1_finetuned_squad_th.md
@@ -0,0 +1,109 @@
+---
+layout: model
+title: Thai BertForQuestionAnswering model (from wicharnkeisei)
+author: John Snow Labs
+name: bert_qa_thai_bert_multi_cased_finetuned_xquadv1_finetuned_squad
+date: 2023-11-16
+tags: [th, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: th
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `thai-bert-multi-cased-finetuned-xquadv1-finetuned-squad` is a Thai model orginally trained by `wicharnkeisei`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_thai_bert_multi_cased_finetuned_xquadv1_finetuned_squad_th_5.2.0_3.0_1700142277018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_thai_bert_multi_cased_finetuned_xquadv1_finetuned_squad_th_5.2.0_3.0_1700142277018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_thai_bert_multi_cased_finetuned_xquadv1_finetuned_squad","th") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_thai_bert_multi_cased_finetuned_xquadv1_finetuned_squad","th")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("th.answer_question.xquad_squad.bert.cased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_thai_bert_multi_cased_finetuned_xquadv1_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|th|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/wicharnkeisei/thai-bert-multi-cased-finetuned-xquadv1-finetuned-squad
+- https://github.com/iapp-technology/iapp-wiki-qa-dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tiny_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tiny_en.md
new file mode 100644
index 000000000000..74f0a6eb0a2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tiny_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Tiny Cased model (from srcocotero)
+author: John Snow Labs
+name: bert_qa_tiny
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `tiny-bert-qa` is a English model originally trained by `srcocotero`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tiny_en_5.2.0_3.0_1700094861529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tiny_en_5.2.0_3.0_1700094861529.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_tiny","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_tiny","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tiny|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|16.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/srcocotero/tiny-bert-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tiny_finetuned_cuad_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tiny_finetuned_cuad_en.md
new file mode 100644
index 000000000000..63a7fb54c765
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tiny_finetuned_cuad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Tiny Cased model (from muhtasham)
+author: John Snow Labs
+name: bert_qa_tiny_finetuned_cuad
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-tiny-finetuned-cuad` is a English model originally trained by `muhtasham`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tiny_finetuned_cuad_en_5.2.0_3.0_1700120481223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tiny_finetuned_cuad_en_5.2.0_3.0_1700120481223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_tiny_finetuned_cuad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_tiny_finetuned_cuad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tiny_finetuned_cuad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|16.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/muhtasham/bert-tiny-finetuned-cuad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tiny_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tiny_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..ccd6a3beb073
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tiny_finetuned_squadv2_en.md
@@ -0,0 +1,102 @@
+---
+layout: model
+title: English BertForQuestionAnswering Tiny Cased model (from M-FAC)
+author: John Snow Labs
+name: bert_qa_tiny_finetuned_squadv2
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-tiny-finetuned-squadv2` is a English model originally trained by `M-FAC`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tiny_finetuned_squadv2_en_5.2.0_3.0_1700154874575.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tiny_finetuned_squadv2_en_5.2.0_3.0_1700154874575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_tiny_finetuned_squadv2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_tiny_finetuned_squadv2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2.v2_tiny_finetuned").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tiny_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|16.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/M-FAC/bert-tiny-finetuned-squadv2
+- https://arxiv.org/pdf/2107.03356.pdf
+- https://github.com/IST-DASLab/M-FAC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tinybert_6l_768d_squad2_large_teacher_dummy_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tinybert_6l_768d_squad2_large_teacher_dummy_en.md
new file mode 100644
index 000000000000..4635ddf462cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tinybert_6l_768d_squad2_large_teacher_dummy_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Tiny Cased model (from MichelBartels)
+author: John Snow Labs
+name: bert_qa_tinybert_6l_768d_squad2_large_teacher_dummy
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `tinybert-6l-768d-squad2-large-teacher-dummy` is a English model originally trained by `MichelBartels`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_6l_768d_squad2_large_teacher_dummy_en_5.2.0_3.0_1700156590757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_6l_768d_squad2_large_teacher_dummy_en_5.2.0_3.0_1700156590757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_tinybert_6l_768d_squad2_large_teacher_dummy","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_tinybert_6l_768d_squad2_large_teacher_dummy","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2.large_tiny_768d.by_MichelBartels").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tinybert_6l_768d_squad2_large_teacher_dummy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|248.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MichelBartels/tinybert-6l-768d-squad2-large-teacher-dummy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_en.md
new file mode 100644
index 000000000000..fb08ab3e0ae2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from MichelBartels)
+author: John Snow Labs
+name: bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `tinybert-6l-768d-squad2-large-teacher-finetuned` is a English model orginally trained by `MichelBartels`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_en_5.2.0_3.0_1700141008040.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_en_5.2.0_3.0_1700141008040.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.large_tiny_768d.by_MichelBartels").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|249.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MichelBartels/tinybert-6l-768d-squad2-large-teacher-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_step1_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_step1_en.md
new file mode 100644
index 000000000000..e22b265acb17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_step1_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from MichelBartels)
+author: John Snow Labs
+name: bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_step1
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `tinybert-6l-768d-squad2-large-teacher-finetuned-step1` is a English model orginally trained by `MichelBartels`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_step1_en_5.2.0_3.0_1700122406299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_step1_en_5.2.0_3.0_1700122406299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_step1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_step1","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.bert.large_tiny_768d_v2.by_MichelBartels").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tinybert_6l_768d_squad2_large_teacher_finetuned_step1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|249.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MichelBartels/tinybert-6l-768d-squad2-large-teacher-finetuned-step1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tmgondal_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tmgondal_finetuned_squad_en.md
new file mode 100644
index 000000000000..7096a557a965
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tmgondal_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from tmgondal)
+author: John Snow Labs
+name: bert_qa_tmgondal_finetuned_squad
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `tmgondal`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tmgondal_finetuned_squad_en_5.2.0_3.0_1700158435973.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tmgondal_finetuned_squad_en_5.2.0_3.0_1700158435973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_tmgondal_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_tmgondal_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tmgondal_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tmgondal/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tquad_base_turkish_tr.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tquad_base_turkish_tr.md
new file mode 100644
index 000000000000..b010c953e79b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_tquad_base_turkish_tr.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering Base Cased model (from Izzet)
+author: John Snow Labs
+name: bert_qa_tquad_base_turkish
+date: 2023-11-16
+tags: [tr, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `qa_tquad_bert-base-turkish` is a Turkish model originally trained by `Izzet`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_tquad_base_turkish_tr_5.2.0_3.0_1700141353029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_tquad_base_turkish_tr_5.2.0_3.0_1700141353029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_tquad_base_turkish","tr")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_tquad_base_turkish","tr")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_tquad_base_turkish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|688.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Izzet/qa_tquad_bert-base-turkish
+- https://github.com/izzetkalic/botcuk-dataset-analyze/tree/main/datasets/qa-tquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_covid_qna_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_covid_qna_en.md
new file mode 100644
index 000000000000..ad1269ffa7c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_covid_qna_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from aodiniz)
+author: John Snow Labs
+name: bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_covid_qna
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert_uncased_L-2_H-128_A-2_cord19-200616_squad2_covid-qna` is a English model originally trained by `aodiniz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_covid_qna_en_5.2.0_3.0_1700095892418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_covid_qna_en_5.2.0_3.0_1700095892418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_covid_qna","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_covid_qna","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2_covid_cord19.uncased_2l_128d_a2a_128d").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_covid_qna|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|16.6 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aodiniz/bert_uncased_L-2_H-128_A-2_cord19-200616_squad2_covid-qna
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_en.md
new file mode 100644
index 000000000000..febda140d054
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from aodiniz)
+author: John Snow Labs
+name: bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert_uncased_L-2_H-128_A-2_cord19-200616_squad2` is a English model originally trained by `aodiniz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_en_5.2.0_3.0_1700161528646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2_en_5.2.0_3.0_1700161528646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2_cord19.uncased_2l_128d_a2a_128d").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_uncased_l_2_h_128_a_2_cord19_200616_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|16.6 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aodiniz/bert_uncased_L-2_H-128_A-2_cord19-200616_squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_squad2_covid_qna_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_squad2_covid_qna_en.md
new file mode 100644
index 000000000000..e26b351b192a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_squad2_covid_qna_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from aodiniz)
+author: John Snow Labs
+name: bert_qa_uncased_l_2_h_128_a_2_squad2_covid_qna
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert_uncased_L-2_H-128_A-2_squad2_covid-qna` is a English model originally trained by `aodiniz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_2_h_128_a_2_squad2_covid_qna_en_5.2.0_3.0_1700163669992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_2_h_128_a_2_squad2_covid_qna_en_5.2.0_3.0_1700163669992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_2_h_128_a_2_squad2_covid_qna","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_2_h_128_a_2_squad2_covid_qna","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2_covid.uncased_2l_128d_a2a_128d").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_uncased_l_2_h_128_a_2_squad2_covid_qna|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|16.7 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aodiniz/bert_uncased_L-2_H-128_A-2_squad2_covid-qna
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_squad2_en.md
new file mode 100644
index 000000000000..4931b6a9da54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_128_a_2_squad2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from aodiniz)
+author: John Snow Labs
+name: bert_qa_uncased_l_2_h_128_a_2_squad2
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert_uncased_L-2_H-128_A-2_squad2` is a English model originally trained by `aodiniz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_2_h_128_a_2_squad2_en_5.2.0_3.0_1700162863747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_2_h_128_a_2_squad2_en_5.2.0_3.0_1700162863747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_2_h_128_a_2_squad2","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_2_h_128_a_2_squad2","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2.uncased_2l_128d_a2a_128d").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_uncased_l_2_h_128_a_2_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|16.7 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aodiniz/bert_uncased_L-2_H-128_A-2_squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_512_a_8_cord19_200616_squad2_covid_qna_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_512_a_8_cord19_200616_squad2_covid_qna_en.md
new file mode 100644
index 000000000000..322a4ca305de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_2_h_512_a_8_cord19_200616_squad2_covid_qna_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from aodiniz)
+author: John Snow Labs
+name: bert_qa_uncased_l_2_h_512_a_8_cord19_200616_squad2_covid_qna
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert_uncased_L-2_H-512_A-8_cord19-200616_squad2_covid-qna` is a English model originally trained by `aodiniz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_2_h_512_a_8_cord19_200616_squad2_covid_qna_en_5.2.0_3.0_1700097405458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_2_h_512_a_8_cord19_200616_squad2_covid_qna_en_5.2.0_3.0_1700097405458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_2_h_512_a_8_cord19_200616_squad2_covid_qna","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_2_h_512_a_8_cord19_200616_squad2_covid_qna","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2_covid_cord19.uncased_2l_512d_a8a_512d").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_uncased_l_2_h_512_a_8_cord19_200616_squad2_covid_qna|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|83.3 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aodiniz/bert_uncased_L-2_H-512_A-8_cord19-200616_squad2_covid-qna
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_covid_qna_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_covid_qna_en.md
new file mode 100644
index 000000000000..d7700bc451d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_covid_qna_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from aodiniz)
+author: John Snow Labs
+name: bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_covid_qna
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert_uncased_L-6_H-128_A-2_cord19-200616_squad2_covid-qna` is a English model originally trained by `aodiniz`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_covid_qna_en_5.2.0_3.0_1700123409113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_covid_qna_en_5.2.0_3.0_1700123409113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_covid_qna","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_covid_qna","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squadv2_covid_cord19.uncased_6l_128d_a2a_128d").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_uncased_l_6_h_128_a_2_cord19_200616_squad2_covid_qna|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|19.6 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aodiniz/bert_uncased_L-6_H-128_A-2_cord19-200616_squad2_covid-qna
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_unqover_bert_base_uncased_newsqa_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_unqover_bert_base_uncased_newsqa_en.md
new file mode 100644
index 000000000000..3d64943754d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_unqover_bert_base_uncased_newsqa_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from tli8hf)
+author: John Snow Labs
+name: bert_qa_unqover_bert_base_uncased_newsqa
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `unqover-bert-base-uncased-newsqa` is a English model orginally trained by `tli8hf`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_unqover_bert_base_uncased_newsqa_en_5.2.0_3.0_1700125145133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_unqover_bert_base_uncased_newsqa_en_5.2.0_3.0_1700125145133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_unqover_bert_base_uncased_newsqa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_unqover_bert_base_uncased_newsqa","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.news.bert.base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_unqover_bert_base_uncased_newsqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tli8hf/unqover-bert-base-uncased-newsqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_unqover_large_uncased_newsqa_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_unqover_large_uncased_newsqa_en.md
new file mode 100644
index 000000000000..5bed1f37730d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_unqover_large_uncased_newsqa_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Large Uncased model (from tli8hf)
+author: John Snow Labs
+name: bert_qa_unqover_large_uncased_newsqa
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `unqover-bert-large-uncased-newsqa` is a English model originally trained by `tli8hf`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_unqover_large_uncased_newsqa_en_5.2.0_3.0_1700141035813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_unqover_large_uncased_newsqa_en_5.2.0_3.0_1700141035813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_unqover_large_uncased_newsqa","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_unqover_large_uncased_newsqa","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.news_sqa.uncased_large").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_unqover_large_uncased_newsqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tli8hf/unqover-bert-large-uncased-newsqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_victoraavila_bert_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_victoraavila_bert_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..fe5f03260b8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_victoraavila_bert_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from victoraavila)
+author: John Snow Labs
+name: bert_qa_victoraavila_bert_base_uncased_finetuned_squad
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-finetuned-squad` is a English model orginally trained by `victoraavila`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_victoraavila_bert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700141658128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_victoraavila_bert_base_uncased_finetuned_squad_en_5.2.0_3.0_1700141658128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_victoraavila_bert_base_uncased_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_victoraavila_bert_base_uncased_finetuned_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased.by_victoraavila").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_victoraavila_bert_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/victoraavila/bert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_vuiseng9_bert_base_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_vuiseng9_bert_base_uncased_squad_en.md
new file mode 100644
index 000000000000..3c559cf0aadb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_vuiseng9_bert_base_uncased_squad_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from vuiseng9)
+author: John Snow Labs
+name: bert_qa_vuiseng9_bert_base_uncased_squad
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-base-uncased-squad` is a English model orginally trained by `vuiseng9`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_vuiseng9_bert_base_uncased_squad_en_5.2.0_3.0_1700099761022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_vuiseng9_bert_base_uncased_squad_en_5.2.0_3.0_1700099761022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_vuiseng9_bert_base_uncased_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_vuiseng9_bert_base_uncased_squad","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.base_uncased.by_vuiseng9").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_vuiseng9_bert_base_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vuiseng9/bert-base-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_wiselinjayajos_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_wiselinjayajos_finetuned_squad_en.md
new file mode 100644
index 000000000000..cb23f61c28da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_wiselinjayajos_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from wiselinjayajos)
+author: John Snow Labs
+name: bert_qa_wiselinjayajos_finetuned_squad
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `wiselinjayajos`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_wiselinjayajos_finetuned_squad_en_5.2.0_3.0_1700101442486.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_wiselinjayajos_finetuned_squad_en_5.2.0_3.0_1700101442486.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_wiselinjayajos_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_wiselinjayajos_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned.by_wiselinjayajos").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_wiselinjayajos_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/wiselinjayajos/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_wskhanh_roberta_wwm_ext_large_zh.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_wskhanh_roberta_wwm_ext_large_zh.md
new file mode 100644
index 000000000000..8ec3d0465397
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_wskhanh_roberta_wwm_ext_large_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese BertForQuestionAnswering Large Cased model (from wskhanh)
+author: John Snow Labs
+name: bert_qa_wskhanh_roberta_wwm_ext_large
+date: 2023-11-16
+tags: [zh, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: zh
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `Roberta-wwm-ext-large-qa` is a Chinese model originally trained by `wskhanh`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_wskhanh_roberta_wwm_ext_large_zh_5.2.0_3.0_1700141587605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_wskhanh_roberta_wwm_ext_large_zh_5.2.0_3.0_1700141587605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_wskhanh_roberta_wwm_ext_large","zh")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_wskhanh_roberta_wwm_ext_large","zh")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_wskhanh_roberta_wwm_ext_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|zh|
+|Size:|1.2 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/wskhanh/Roberta-wwm-ext-large-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xquad_thai_mbert_base_th.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xquad_thai_mbert_base_th.md
new file mode 100644
index 000000000000..cb967029b1e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xquad_thai_mbert_base_th.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Thai bert_qa_xquad_thai_mbert_base BertForQuestionAnswering from zhufy
+author: John Snow Labs
+name: bert_qa_xquad_thai_mbert_base
+date: 2023-11-16
+tags: [bert, th, open_source, question_answering, onnx]
+task: Question Answering
+language: th
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_xquad_thai_mbert_base` is a Thai model originally trained by zhufy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_xquad_thai_mbert_base_th_5.2.0_3.0_1700103412739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_xquad_thai_mbert_base_th_5.2.0_3.0_1700103412739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_xquad_thai_mbert_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|th|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/zhufy/xquad-th-mbert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l12_h384_uncased_natural_questions_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l12_h384_uncased_natural_questions_en.md
new file mode 100644
index 000000000000..70d477ca39bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l12_h384_uncased_natural_questions_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from nyorain)
+author: John Snow Labs
+name: bert_qa_xtremedistil_l12_h384_uncased_natural_questions
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `xtremedistil-l12-h384-uncased-natural-questions` is a English model originally trained by `nyorain`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l12_h384_uncased_natural_questions_en_5.2.0_3.0_1700152150227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l12_h384_uncased_natural_questions_en_5.2.0_3.0_1700152150227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_xtremedistil_l12_h384_uncased_natural_questions","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_xtremedistil_l12_h384_uncased_natural_questions","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_xtremedistil_l12_h384_uncased_natural_questions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|124.1 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/nyorain/xtremedistil-l12-h384-uncased-natural-questions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_6_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_6_en.md
new file mode 100644
index 000000000000..995999d0a174
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_6_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from husnu)
+author: John Snow Labs
+name: bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_6
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `xtremedistil-l6-h256-uncased-finetuned_lr-2e-05_epochs-6` is a English model orginally trained by `husnu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_6_en_5.2.0_3.0_1700153291634.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_6_en_5.2.0_3.0_1700153291634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_6","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_6","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.xtremedistiled_uncased_lr_2e_05_epochs_6.by_husnu").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_xtremedistil_l6_h256_uncased_finetuned_lr_2e_05_epochs_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|47.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/husnu/xtremedistil-l6-h256-uncased-finetuned_lr-2e-05_epochs-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_natural_questions_short_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_natural_questions_short_en.md
new file mode 100644
index 000000000000..61b969172571
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_natural_questions_short_en.md
@@ -0,0 +1,102 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from Be-Lo)
+author: John Snow Labs
+name: bert_qa_xtremedistil_l6_h256_uncased_natural_questions_short
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `xtremedistil-l6-h256-uncased-natural-questions-short` is a English model originally trained by `Be-Lo`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_natural_questions_short_en_5.2.0_3.0_1700172621685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_natural_questions_short_en_5.2.0_3.0_1700172621685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_xtremedistil_l6_h256_uncased_natural_questions_short","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_xtremedistil_l6_h256_uncased_natural_questions_short","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_xtremedistil_l6_h256_uncased_natural_questions_short|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|47.4 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Be-Lo/xtremedistil-l6-h256-uncased-natural-questions-short
+- https://research.google/pubs/pub47761/
+- https://github.com/mrqa/MRQA-Shared-Task-2019
+- https://research.google/pubs/pub47761/
+- https://github.com/mrqa/MRQA-Shared-Task-2019
+- https://square.ukp-lab.de/qa
+- https://www.informatik.tu-darmstadt.de/ukp/ukp_home/index.en.jsp
+- https://github.com/dl4nlp-tuda/deep-learning-for-nlp-lectures
+- https://www.trusthlt.org/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_3_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_3_en.md
new file mode 100644
index 000000000000..09792763ffb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_3_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from husnu)
+author: John Snow Labs
+name: bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_3
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `xtremedistil-l6-h256-uncased-TQUAD-finetuned_lr-2e-05_epochs-3` is a English model originally trained by `husnu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_3_en_5.2.0_3.0_1700154318451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_3_en_5.2.0_3.0_1700154318451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_3","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_3","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.tquad.xtremedistiled_uncased_finetuned_epochs_3").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|47.3 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/husnu/xtremedistil-l6-h256-uncased-TQUAD-finetuned_lr-2e-05_epochs-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_6_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_6_en.md
new file mode 100644
index 000000000000..57069ccbca2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_6_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Uncased model (from husnu)
+author: John Snow Labs
+name: bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_6
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `xtremedistil-l6-h256-uncased-TQUAD-finetuned_lr-2e-05_epochs-6` is a English model originally trained by `husnu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_6_en_5.2.0_3.0_1700104833487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_6_en_5.2.0_3.0_1700104833487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_6","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_6","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.tquad.xtremedistiled_uncased_finetuned_epochs_6").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|47.3 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/husnu/xtremedistil-l6-h256-uncased-TQUAD-finetuned_lr-2e-05_epochs-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_9_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_9_en.md
new file mode 100644
index 000000000000..95deab0edacb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_9_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_9 BertForQuestionAnswering from husnu
+author: John Snow Labs
+name: bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_9
+date: 2023-11-16
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_9` is a English model originally trained by husnu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_9_en_5.2.0_3.0_1700171301368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_9_en_5.2.0_3.0_1700171301368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_xtremedistil_l6_h256_uncased_tquad_finetuned_lr_2e_05_epochs_9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|47.3 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/husnu/xtremedistil-l6-h256-uncased-TQUAD-finetuned_lr-2e-05_epochs-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_ydshieh_tiny_random_forquestionanswering_ja.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_ydshieh_tiny_random_forquestionanswering_ja.md
new file mode 100644
index 000000000000..b072aee0c0cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_ydshieh_tiny_random_forquestionanswering_ja.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Japanese BertForQuestionAnswering Tiny Cased model (from ydshieh)
+author: John Snow Labs
+name: bert_qa_ydshieh_tiny_random_forquestionanswering
+date: 2023-11-16
+tags: [ja, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: ja
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `tiny-random-BertForQuestionAnswering` is a Japanese model originally trained by `ydshieh`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ydshieh_tiny_random_forquestionanswering_ja_5.2.0_3.0_1700154938859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ydshieh_tiny_random_forquestionanswering_ja_5.2.0_3.0_1700154938859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ydshieh_tiny_random_forquestionanswering","ja")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ydshieh_tiny_random_forquestionanswering","ja")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ydshieh_tiny_random_forquestionanswering|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ja|
+|Size:|346.5 KB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ydshieh/tiny-random-BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_yossra_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_yossra_finetuned_squad_en.md
new file mode 100644
index 000000000000..cc04a3a6a65d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_yossra_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English BertForQuestionAnswering Cased model (from yossra)
+author: John Snow Labs
+name: bert_qa_yossra_finetuned_squad
+date: 2023-11-16
+tags: [en, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad` is a English model originally trained by `yossra`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_yossra_finetuned_squad_en_5.2.0_3.0_1700156597353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_yossra_finetuned_squad_en_5.2.0_3.0_1700156597353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+ .setInputCols(["question", "context"]) \
+ .setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_yossra_finetuned_squad","en") \
+ .setInputCols(["document_question", "document_context"]) \
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("bert_qa_yossra_finetuned_squad","en")
+ .setInputCols(Array("document", "token"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.squad.finetuned.by_yossra").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_yossra_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/yossra/bert-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_youngjae_bert_finetuned_squad_accelerate_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_youngjae_bert_finetuned_squad_accelerate_en.md
new file mode 100644
index 000000000000..8b797adb88cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_youngjae_bert_finetuned_squad_accelerate_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from youngjae)
+author: John Snow Labs
+name: bert_qa_youngjae_bert_finetuned_squad_accelerate
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bert-finetuned-squad-accelerate` is a English model orginally trained by `youngjae`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_youngjae_bert_finetuned_squad_accelerate_en_5.2.0_3.0_1700141918411.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_youngjae_bert_finetuned_squad_accelerate_en_5.2.0_3.0_1700141918411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_youngjae_bert_finetuned_squad_accelerate","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_youngjae_bert_finetuned_squad_accelerate","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.bert.accelerate.by_youngjae").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_youngjae_bert_finetuned_squad_accelerate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.6 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/youngjae/bert-finetuned-squad-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_ytu_base_turkish_tr.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_ytu_base_turkish_tr.md
new file mode 100644
index 000000000000..44e901f9ee70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_ytu_base_turkish_tr.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: Turkish BertForQuestionAnswering Base Cased model (from Izzet)
+author: John Snow Labs
+name: bert_qa_ytu_base_turkish
+date: 2023-11-16
+tags: [tr, open_source, bert, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `qa_ytu_bert-base-turkish` is a Turkish model originally trained by `Izzet`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_ytu_base_turkish_tr_5.2.0_3.0_1700142270831.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_ytu_base_turkish_tr_5.2.0_3.0_1700142270831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ytu_base_turkish","tr")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = BertForQuestionAnswering.pretrained("bert_qa_ytu_base_turkish","tr")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_ytu_base_turkish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|688.9 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Izzet/qa_ytu_bert-base-turkish
+- https://github.com/izzetkalic/botcuk-dataset-analyze/tree/main/datasets/qa-ytu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_qa_zero_shot_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_zero_shot_en.md
new file mode 100644
index 000000000000..cf1ff755b936
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_qa_zero_shot_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English BertForQuestionAnswering model (from krinal214)
+author: John Snow Labs
+name: bert_qa_zero_shot
+date: 2023-11-16
+tags: [en, open_source, question_answering, bert, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `zero_shot` is a English model orginally trained by `krinal214`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_qa_zero_shot_en_5.2.0_3.0_1700142728982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_qa_zero_shot_en_5.2.0_3.0_1700142728982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_zero_shot","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols("question", "context")
+.setOutputCols("document_question", "document_context")
+
+val spanClassifier = BertForQuestionAnswering
+.pretrained("bert_qa_zero_shot","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.bert.zero_shot.by_krinal214").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_zero_shot|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|665.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/krinal214/zero_shot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-bert_squad_covidqa_2_en.md b/docs/_posts/ahmedlone127/2023-11-16-bert_squad_covidqa_2_en.md
new file mode 100644
index 000000000000..c36a6337fd01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-bert_squad_covidqa_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_squad_covidqa_2 BertForQuestionAnswering from hung200504
+author: John Snow Labs
+name: bert_squad_covidqa_2
+date: 2023-11-16
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_squad_covidqa_2` is a English model originally trained by hung200504.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_squad_covidqa_2_en_5.2.0_3.0_1700157604047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_squad_covidqa_2_en_5.2.0_3.0_1700157604047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_araelectra_squad_arcd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ar|
+|Size:|504.3 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/aymanm419/araElectra-SQUAD-ARCD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_discriminator_finetuned_squadv1_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_discriminator_finetuned_squadv1_en.md
new file mode 100644
index 000000000000..443fa5d69b97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_discriminator_finetuned_squadv1_en.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from valhalla)
+author: John Snow Labs
+name: electra_qa_base_discriminator_finetuned_squadv1
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-base-discriminator-finetuned_squadv1` is a English model originally trained by `valhalla`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_base_discriminator_finetuned_squadv1_en_5.2.0_3.0_1700118260213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_base_discriminator_finetuned_squadv1_en_5.2.0_3.0_1700118260213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_base_discriminator_finetuned_squadv1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_base_discriminator_finetuned_squadv1","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.electra.base.by_valhalla").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_base_discriminator_finetuned_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|408.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/valhalla/electra-base-discriminator-finetuned_squadv1
+- https://github.com/patil-suraj/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_discriminator_finetuned_squadv2_tr.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_discriminator_finetuned_squadv2_tr.md
new file mode 100644
index 000000000000..214d1d5b7b8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_discriminator_finetuned_squadv2_tr.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Turkish ElectraForQuestionAnswering model (from enelpi) Discriminator Version-2
+author: John Snow Labs
+name: electra_qa_base_discriminator_finetuned_squadv2
+date: 2023-11-16
+tags: [tr, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-base-discriminator-finetuned_squadv2_tr` is a Turkish model originally trained by `enelpi`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_base_discriminator_finetuned_squadv2_tr_5.2.0_3.0_1700175680958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_base_discriminator_finetuned_squadv2_tr_5.2.0_3.0_1700175680958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_base_discriminator_finetuned_squadv2","tr") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_base_discriminator_finetuned_squadv2","tr")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("tr.answer_question.squadv2.electra.base_v2").predict("""Benim adım ne?|||"Benim adım Clara ve Berkeley'de yaşıyorum.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_base_discriminator_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|412.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/enelpi/electra-base-discriminator-finetuned_squadv2_tr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_finetuned_squadv1_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_finetuned_squadv1_en.md
new file mode 100644
index 000000000000..fcb9a1bd61f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_finetuned_squadv1_en.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: electra_qa_base_finetuned_squadv1
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-base-finetuned-squadv1` is a English model originally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_base_finetuned_squadv1_en_5.2.0_3.0_1700097241442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_base_finetuned_squadv1_en_5.2.0_3.0_1700097241442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_base_finetuned_squadv1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_base_finetuned_squadv1","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.electra.base.by_mrm8488").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_base_finetuned_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|408.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/electra-base-finetuned-squadv1
+- https://rajpurkar.github.io/SQuAD-explorer/explore/1.1/dev/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_squad2_covid_deepset_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_squad2_covid_deepset_en.md
new file mode 100644
index 000000000000..ae2ce8116015
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_squad2_covid_deepset_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from armageddon)
+author: John Snow Labs
+name: electra_qa_base_squad2_covid_deepset
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-base-squad2-covid-qa-deepset` is a English model originally trained by `armageddon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_base_squad2_covid_deepset_en_5.2.0_3.0_1700177599963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_base_squad2_covid_deepset_en_5.2.0_3.0_1700177599963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_base_squad2_covid_deepset","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_base_squad2_covid_deepset","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_covid.electra.base").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_base_squad2_covid_deepset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|408.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/armageddon/electra-base-squad2-covid-qa-deepset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_squad2_en.md
new file mode 100644
index 000000000000..63fa816f7aeb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_squad2_en.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from navteca)
+author: John Snow Labs
+name: electra_qa_base_squad2
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-base-squad2` is a English model originally trained by `navteca`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_base_squad2_en_5.2.0_3.0_1700098850923.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_base_squad2_en_5.2.0_3.0_1700098850923.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_base_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_base_squad2","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.electra.base.by_navteca").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_base_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|408.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/navteca/electra-base-squad2
+- https://rajpurkar.github.io/SQuAD-explorer/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_v2_finetuned_korquad_ko.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_v2_finetuned_korquad_ko.md
new file mode 100644
index 000000000000..943f1db69c0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_v2_finetuned_korquad_ko.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Korean ElectraForQuestionAnswering model (from monologg)
+author: John Snow Labs
+name: electra_qa_base_v2_finetuned_korquad
+date: 2023-11-16
+tags: [ko, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `koelectra-base-v2-finetuned-korquad` is a Korean model originally trained by `monologg`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_base_v2_finetuned_korquad_ko_5.2.0_3.0_1700094573912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_base_v2_finetuned_korquad_ko_5.2.0_3.0_1700094573912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_base_v2_finetuned_korquad","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_base_v2_finetuned_korquad","ko")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.korquad.electra.base_v2.by_monologg").predict("""내 이름은 무엇입니까?|||"제 이름은 클라라이고 저는 버클리에 살고 있습니다.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_base_v2_finetuned_korquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|411.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/monologg/koelectra-base-v2-finetuned-korquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_v3_discriminator_finetuned_klue_v4_ko.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_v3_discriminator_finetuned_klue_v4_ko.md
new file mode 100644
index 000000000000..c001a9eda4ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_v3_discriminator_finetuned_klue_v4_ko.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Korean ElectraForQuestionAnswering model (from obokkkk)
+author: John Snow Labs
+name: electra_qa_base_v3_discriminator_finetuned_klue_v4
+date: 2023-11-16
+tags: [ko, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `koelectra-base-v3-discriminator-finetuned-klue-v4` is a Korean model originally trained by `obokkkk`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_base_v3_discriminator_finetuned_klue_v4_ko_5.2.0_3.0_1700096009029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_base_v3_discriminator_finetuned_klue_v4_ko_5.2.0_3.0_1700096009029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_base_v3_discriminator_finetuned_klue_v4","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_base_v3_discriminator_finetuned_klue_v4","ko")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.klue.electra.base.by_obokkkk").predict("""내 이름은 무엇입니까?|||"제 이름은 클라라이고 저는 버클리에 살고 있습니다.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_base_v3_discriminator_finetuned_klue_v4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|419.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/obokkkk/koelectra-base-v3-discriminator-finetuned-klue-v4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_v3_finetuned_korquad_ko.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_v3_finetuned_korquad_ko.md
new file mode 100644
index 000000000000..765dbeb11e12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_base_v3_finetuned_korquad_ko.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Korean ElectraForQuestionAnswering model (from monologg) Version-3
+author: John Snow Labs
+name: electra_qa_base_v3_finetuned_korquad
+date: 2023-11-16
+tags: [ko, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `koelectra-base-v3-finetuned-korquad` is a Korean model originally trained by `monologg`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_base_v3_finetuned_korquad_ko_5.2.0_3.0_1700097709677.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_base_v3_finetuned_korquad_ko_5.2.0_3.0_1700097709677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_base_v3_finetuned_korquad","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_base_v3_finetuned_korquad","ko")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.korquad.electra.base").predict("""내 이름은 무엇입니까?|||"제 이름은 클라라이고 저는 버클리에 살고 있습니다.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_base_v3_finetuned_korquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|419.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/monologg/koelectra-base-v3-finetuned-korquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_biom_base_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_biom_base_squad2_en.md
new file mode 100644
index 000000000000..14300f5c4c64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_biom_base_squad2_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English electra_qa_biom_base_squad2 BertForQuestionAnswering from sultan
+author: John Snow Labs
+name: electra_qa_biom_base_squad2
+date: 2023-11-16
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_qa_biom_base_squad2` is a English model originally trained by sultan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_biom_base_squad2_en_5.2.0_3.0_1700110050778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_biom_base_squad2_en_5.2.0_3.0_1700110050778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_dspfirst_finetuning_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/ptran74/DSPFirst-Finetuning-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_elctrafp_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_elctrafp_en.md
new file mode 100644
index 000000000000..6766d581315d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_elctrafp_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from carlosserquen)
+author: John Snow Labs
+name: electra_qa_elctrafp
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electrafp` is a English model originally trained by `carlosserquen`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_elctrafp_en_5.2.0_3.0_1700171578206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_elctrafp_en_5.2.0_3.0_1700171578206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_elctrafp","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_elctrafp","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.electra.by_carlosserquen").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_elctrafp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|50.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/carlosserquen/electrafp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_enelpi_squad_tr.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_enelpi_squad_tr.md
new file mode 100644
index 000000000000..65e3fda917d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_enelpi_squad_tr.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Turkish ElectraForQuestionAnswering model (from enelpi)
+author: John Snow Labs
+name: electra_qa_enelpi_squad
+date: 2023-11-16
+tags: [tr, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-tr-enelpi-squad-qa` is a Turkish model originally trained by `enelpi`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_enelpi_squad_tr_5.2.0_3.0_1700120180540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_enelpi_squad_tr_5.2.0_3.0_1700120180540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_enelpi_squad","tr") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_enelpi_squad","tr")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("tr.answer_question.squad.electra").predict("""Benim adım ne?|||"Benim adım Clara ve Berkeley'de yaşıyorum.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_enelpi_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|412.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/enelpi/electra-tr-enelpi-squad-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_g_base_germanquad_de.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_g_base_germanquad_de.md
new file mode 100644
index 000000000000..7a5115cccea6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_g_base_germanquad_de.md
@@ -0,0 +1,105 @@
+---
+layout: model
+title: German ElectraForQuestionAnswering model (from deepset)
+author: John Snow Labs
+name: electra_qa_g_base_germanquad
+date: 2023-11-16
+tags: [de, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `gelectra-base-germanquad` is a German model originally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_g_base_germanquad_de_5.2.0_3.0_1700099310383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_g_base_germanquad_de_5.2.0_3.0_1700099310383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_g_base_germanquad","de") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Was ist mein Name?", "Mein Name ist Clara und ich lebe in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_g_base_germanquad","de")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Was ist mein Name?", "Mein Name ist Clara und ich lebe in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("de.answer_question.electra.base").predict("""Was ist mein Name?|||"Mein Name ist Clara und ich lebe in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_g_base_germanquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|de|
+|Size:|410.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepset/gelectra-base-germanquad
+- https://deepset.ai/germanquad
+- https://deepset.ai/german-bert
+- https://github.com/deepset-ai/FARM
+- https://github.com/deepset-ai/haystack/
+- https://haystack.deepset.ai/community/join
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_g_base_germanquad_distilled_de.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_g_base_germanquad_distilled_de.md
new file mode 100644
index 000000000000..62ae0aa98151
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_g_base_germanquad_distilled_de.md
@@ -0,0 +1,105 @@
+---
+layout: model
+title: German ElectraForQuestionAnswering Distilled model (from deepset)
+author: John Snow Labs
+name: electra_qa_g_base_germanquad_distilled
+date: 2023-11-16
+tags: [de, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `gelectra-base-germanquad-distilled` is a German model originally trained by `deepset`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_g_base_germanquad_distilled_de_5.2.0_3.0_1700100818667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_g_base_germanquad_distilled_de_5.2.0_3.0_1700100818667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_g_base_germanquad_distilled","de") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Was ist mein Name?", "Mein Name ist Clara und ich lebe in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_g_base_germanquad_distilled","de")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Was ist mein Name?", "Mein Name ist Clara und ich lebe in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("de.answer_question.electra.distilled_base").predict("""Was ist mein Name?|||"Mein Name ist Clara und ich lebe in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_g_base_germanquad_distilled|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|de|
+|Size:|410.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepset/gelectra-base-germanquad-distilled
+- https://deepset.ai/germanquad
+- https://deepset.ai/german-bert
+- https://github.com/deepset-ai/FARM
+- https://github.com/deepset-ai/haystack/
+- https://haystack.deepset.ai/community/join
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_google_base_discriminator_squad_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_google_base_discriminator_squad_en.md
new file mode 100644
index 000000000000..317c0f541e96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_google_base_discriminator_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from Palak)
+author: John Snow Labs
+name: electra_qa_google_base_discriminator_squad
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `google_electra-base-discriminator_squad` is a English model originally trained by `Palak`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_google_base_discriminator_squad_en_5.2.0_3.0_1700123716727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_google_base_discriminator_squad_en_5.2.0_3.0_1700123716727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_google_base_discriminator_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_google_base_discriminator_squad","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.electra.base.by_Palak").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_google_base_discriminator_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|408.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Palak/google_electra-base-discriminator_squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_google_small_discriminator_squad_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_google_small_discriminator_squad_en.md
new file mode 100644
index 000000000000..aac16aeb267f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_google_small_discriminator_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering Small model (from Palak)
+author: John Snow Labs
+name: electra_qa_google_small_discriminator_squad
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `google_electra-small-discriminator_squad` is a English model originally trained by `Palak`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_google_small_discriminator_squad_en_5.2.0_3.0_1700124965933.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_google_small_discriminator_squad_en_5.2.0_3.0_1700124965933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_google_small_discriminator_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_google_small_discriminator_squad","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.electra.small.by_Palak").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_google_small_discriminator_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|50.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Palak/google_electra-small-discriminator_squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_hankzhong_small_discriminator_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_hankzhong_small_discriminator_finetuned_squad_en.md
new file mode 100644
index 000000000000..897c5fab4d1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_hankzhong_small_discriminator_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from hankzhong)
+author: John Snow Labs
+name: electra_qa_hankzhong_small_discriminator_finetuned_squad
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-small-discriminator-finetuned-squad` is a English model originally trained by `hankzhong`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_hankzhong_small_discriminator_finetuned_squad_en_5.2.0_3.0_1700152242588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_hankzhong_small_discriminator_finetuned_squad_en_5.2.0_3.0_1700152242588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_hankzhong_small_discriminator_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_hankzhong_small_discriminator_finetuned_squad","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.electra.small.by_hankzhong").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_hankzhong_small_discriminator_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|50.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/hankzhong/electra-small-discriminator-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_klue_mrc_base_ko.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_klue_mrc_base_ko.md
new file mode 100644
index 000000000000..19991a104b67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_klue_mrc_base_ko.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Korean ElectraForQuestionAnswering model (from seongju)
+author: John Snow Labs
+name: electra_qa_klue_mrc_base
+date: 2023-11-16
+tags: [ko, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `klue-mrc-koelectra-base` is a Korean model originally trained by `seongju`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_klue_mrc_base_ko_5.2.0_3.0_1700100936675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_klue_mrc_base_ko_5.2.0_3.0_1700100936675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_klue_mrc_base","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_klue_mrc_base","ko")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.klue.electra.base").predict("""내 이름은 무엇입니까?|||"제 이름은 클라라이고 저는 버클리에 살고 있습니다.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_klue_mrc_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|419.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/seongju/klue-mrc-koelectra-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_discriminator_finetuned_squad_2_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_discriminator_finetuned_squad_2_en.md
new file mode 100644
index 000000000000..7d044fab1fbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_discriminator_finetuned_squad_2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from bdickson) Version-2
+author: John Snow Labs
+name: electra_qa_small_discriminator_finetuned_squad_2
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-small-discriminator-finetuned-squad-finetuned-squad` is a English model originally trained by `bdickson`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_small_discriminator_finetuned_squad_2_en_5.2.0_3.0_1700175351592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_small_discriminator_finetuned_squad_2_en_5.2.0_3.0_1700175351592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_small_discriminator_finetuned_squad_2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_small_discriminator_finetuned_squad_2","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.electra.small_v2.by_bdickson").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_small_discriminator_finetuned_squad_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|50.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bdickson/electra-small-discriminator-finetuned-squad-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_finetuned_squadv1_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_finetuned_squadv1_en.md
new file mode 100644
index 000000000000..361b4356a237
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_finetuned_squadv1_en.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering Small model (from mrm8488)
+author: John Snow Labs
+name: electra_qa_small_finetuned_squadv1
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-small-finetuned-squadv1` is a English model originally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_small_finetuned_squadv1_en_5.2.0_3.0_1700102000508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_small_finetuned_squadv1_en_5.2.0_3.0_1700102000508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_small_finetuned_squadv1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_small_finetuned_squadv1","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.electra.small").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_small_finetuned_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|50.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/electra-small-finetuned-squadv1
+- https://rajpurkar.github.io/SQuAD-explorer/explore/1.1/dev/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_finetuned_squadv2_en.md
new file mode 100644
index 000000000000..404f385ec0eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_finetuned_squadv2_en.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering Small model (from mrm8488) Version-2
+author: John Snow Labs
+name: electra_qa_small_finetuned_squadv2
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-small-finetuned-squadv2` is a English model originally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_small_finetuned_squadv2_en_5.2.0_3.0_1700176800464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_small_finetuned_squadv2_en_5.2.0_3.0_1700176800464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_small_finetuned_squadv2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_small_finetuned_squadv2","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.electra.small_v2").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_small_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|50.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/electra-small-finetuned-squadv2
+- https://rajpurkar.github.io/SQuAD-explorer/explore/v2.0/dev/
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_turkish_uncased_discriminator_finetuned_tr.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_turkish_uncased_discriminator_finetuned_tr.md
new file mode 100644
index 000000000000..4bed1343e6a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_small_turkish_uncased_discriminator_finetuned_tr.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Turkish ElectraForQuestionAnswering model (from husnu)
+author: John Snow Labs
+name: electra_qa_small_turkish_uncased_discriminator_finetuned
+date: 2023-11-16
+tags: [tr, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-small-turkish-uncased-discriminator-finetuned_lr-2e-05_epochs-6` is a Turkish model originally trained by `husnu`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_small_turkish_uncased_discriminator_finetuned_tr_5.2.0_3.0_1700106346111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_small_turkish_uncased_discriminator_finetuned_tr_5.2.0_3.0_1700106346111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_small_turkish_uncased_discriminator_finetuned","tr") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_small_turkish_uncased_discriminator_finetuned","tr")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("tr.answer_question.electra.small_uncased").predict("""Benim adım ne?|||"Benim adım Clara ve Berkeley'de yaşıyorum.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_small_turkish_uncased_discriminator_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|51.6 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/husnu/electra-small-turkish-uncased-discriminator-finetuned_lr-2e-05_epochs-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_squad_slp_en.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_squad_slp_en.md
new file mode 100644
index 000000000000..929d7b39f188
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_squad_slp_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from rowan1224) Squad
+author: John Snow Labs
+name: electra_qa_squad_slp
+date: 2023-11-16
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-squad-slp` is a English model originally trained by `rowan1224`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_squad_slp_en_5.2.0_3.0_1700108220754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_squad_slp_en_5.2.0_3.0_1700108220754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_squad_slp","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_squad_slp","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.electra").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_squad_slp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|408.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/rowan1224/electra-squad-slp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-electra_qa_turkish_tr.md b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_turkish_tr.md
new file mode 100644
index 000000000000..fccd5caaabf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-electra_qa_turkish_tr.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Turkish ElectraForQuestionAnswering model (from kuzgunlar)
+author: John Snow Labs
+name: electra_qa_turkish
+date: 2023-11-16
+tags: [tr, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: tr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-turkish-qa` is a Turkish model originally trained by `kuzgunlar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_turkish_tr_5.2.0_3.0_1700104330871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_turkish_tr_5.2.0_3.0_1700104330871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_turkish","tr") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_turkish","tr")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("Benim adım ne?", "Benim adım Clara ve Berkeley'de yaşıyorum.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("tr.answer_question.electra").predict("""Benim adım ne?|||"Benim adım Clara ve Berkeley'de yaşıyorum.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_turkish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|tr|
+|Size:|412.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/kuzgunlar/electra-turkish-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-extractive_reader_nq_en.md b/docs/_posts/ahmedlone127/2023-11-16-extractive_reader_nq_en.md
new file mode 100644
index 000000000000..f923acc622fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-extractive_reader_nq_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English extractive_reader_nq BertForQuestionAnswering from ToluClassics
+author: John Snow Labs
+name: extractive_reader_nq
+date: 2023-11-16
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`extractive_reader_nq` is a English model originally trained by ToluClassics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/extractive_reader_nq_en_5.2.0_3.0_1700175915496.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/extractive_reader_nq_en_5.2.0_3.0_1700175915496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ia_llama|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/nordGARA/IA-LLAMA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-16-indobert_examqa_id.md b/docs/_posts/ahmedlone127/2023-11-16-indobert_examqa_id.md
new file mode 100644
index 000000000000..aa2c71bc5bac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-16-indobert_examqa_id.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Indonesian indobert_examqa BertForQuestionAnswering from sinu
+author: John Snow Labs
+name: indobert_examqa
+date: 2023-11-16
+tags: [bert, id, open_source, question_answering, onnx]
+task: Question Answering
+language: id
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_examqa` is a Indonesian model originally trained by sinu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_examqa_id_5.2.0_3.0_1700124569567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_examqa_id_5.2.0_3.0_1700124569567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ekattorbert_multilingual_finetuned_squad_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|xx|
+|Size:|625.5 MB|
+
+## References
+
+https://huggingface.co/shawmoon/EkattorBert-multilingual-finetuned-squad_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-17-electra_qa_electricidad_small_finetuned_squadv1_es.md b/docs/_posts/ahmedlone127/2023-11-17-electra_qa_electricidad_small_finetuned_squadv1_es.md
new file mode 100644
index 000000000000..67f289bded91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-17-electra_qa_electricidad_small_finetuned_squadv1_es.md
@@ -0,0 +1,101 @@
+---
+layout: model
+title: Spanish ElectraForQuestionAnswering Small model (from mrm8488)
+author: John Snow Labs
+name: electra_qa_electricidad_small_finetuned_squadv1
+date: 2023-11-17
+tags: [es, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electricidad-small-finetuned-squadv1-es` is a Spanish model originally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_electricidad_small_finetuned_squadv1_es_5.2.0_3.0_1700180656189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_electricidad_small_finetuned_squadv1_es_5.2.0_3.0_1700180656189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_electricidad_small_finetuned_squadv1","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_electricidad_small_finetuned_squadv1","es")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.squad.electra.small").predict("""¿Cuál es mi nombre?|||"Mi nombre es Clara y vivo en Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_electricidad_small_finetuned_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|50.7 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/electricidad-small-finetuned-squadv1-es
+- https://github.com/ccasimiro88/TranslateAlignRetrieve/tree/master/SQuAD-es-v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-17-electra_qa_long_ko.md b/docs/_posts/ahmedlone127/2023-11-17-electra_qa_long_ko.md
new file mode 100644
index 000000000000..a4801e86c816
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-17-electra_qa_long_ko.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Korean ElectraForQuestionAnswering model (from sehandev)
+author: John Snow Labs
+name: electra_qa_long
+date: 2023-11-17
+tags: [ko, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `koelectra-long-qa` is a Korean model originally trained by `sehandev`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_long_ko_5.2.0_3.0_1700186722924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_long_ko_5.2.0_3.0_1700186722924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_long","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_long","ko")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.electra").predict("""내 이름은 무엇입니까?|||"제 이름은 클라라이고 저는 버클리에 살고 있습니다.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_long|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|419.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sehandev/koelectra-long-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-17-electra_qa_slp_en.md b/docs/_posts/ahmedlone127/2023-11-17-electra_qa_slp_en.md
new file mode 100644
index 000000000000..7fb1257bdac3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-17-electra_qa_slp_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from rowan1224)
+author: John Snow Labs
+name: electra_qa_slp
+date: 2023-11-17
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-slp` is a English model originally trained by `rowan1224`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_slp_en_5.2.0_3.0_1700188524329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_slp_en_5.2.0_3.0_1700188524329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_slp","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_slp","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.electra.by_rowan1224").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_slp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|408.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/rowan1224/electra-slp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-17-electra_qa_small_discriminator_finetuned_squad_1_en.md b/docs/_posts/ahmedlone127/2023-11-17-electra_qa_small_discriminator_finetuned_squad_1_en.md
new file mode 100644
index 000000000000..d1478e3f608f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-17-electra_qa_small_discriminator_finetuned_squad_1_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English ElectraForQuestionAnswering model (from bdickson) Version-1
+author: John Snow Labs
+name: electra_qa_small_discriminator_finetuned_squad_1
+date: 2023-11-17
+tags: [en, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `electra-small-discriminator-finetuned-squad` is a English model originally trained by `bdickson`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_small_discriminator_finetuned_squad_1_en_5.2.0_3.0_1700189577951.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_small_discriminator_finetuned_squad_1_en_5.2.0_3.0_1700189577951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_small_discriminator_finetuned_squad_1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_small_discriminator_finetuned_squad_1","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.electra.small.by_bdickson").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_small_discriminator_finetuned_squad_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|50.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bdickson/electra-small-discriminator-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-17-electra_qa_small_v3_finetuned_korquad_ko.md b/docs/_posts/ahmedlone127/2023-11-17-electra_qa_small_v3_finetuned_korquad_ko.md
new file mode 100644
index 000000000000..70e7b2e5e9b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-17-electra_qa_small_v3_finetuned_korquad_ko.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Korean ElectraForQuestionAnswering Small model (from monologg) Version-3
+author: John Snow Labs
+name: electra_qa_small_v3_finetuned_korquad
+date: 2023-11-17
+tags: [ko, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: ko
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `koelectra-small-v3-finetuned-korquad` is a Korean model originally trained by `monologg`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_small_v3_finetuned_korquad_ko_5.2.0_3.0_1700190429493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_small_v3_finetuned_korquad_ko_5.2.0_3.0_1700190429493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = BertForQuestionAnswering.pretrained("electra_qa_small_v3_finetuned_korquad","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = BertForQuestionAnswering.pretrained("electra_qa_small_v3_finetuned_korquad","ko")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.korquad.electra.small").predict("""내 이름은 무엇입니까?|||"제 이름은 클라라이고 저는 버클리에 살고 있습니다.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_small_v3_finetuned_korquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|53.1 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/monologg/koelectra-small-v3-finetuned-korquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-17-energybert_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-17-energybert_finetuned_squad_en.md
new file mode 100644
index 000000000000..125dae564626
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-17-energybert_finetuned_squad_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English energybert_finetuned_squad BertForQuestionAnswering from HongyangLi
+author: John Snow Labs
+name: energybert_finetuned_squad
+date: 2023-11-17
+tags: [bert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`energybert_finetuned_squad` is a English model originally trained by HongyangLi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/energybert_finetuned_squad_en_5.2.0_3.0_1700189569320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/energybert_finetuned_squad_en_5.2.0_3.0_1700189569320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wspalign_ft_kftt|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/qiyuw/WSPAlign-ft-kftt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-03_model_sales_en.md b/docs/_posts/ahmedlone127/2023-11-18-03_model_sales_en.md
new file mode 100644
index 000000000000..788be9abec35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-03_model_sales_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 03_model_sales DistilBertForSequenceClassification from hannoh
+author: John Snow Labs
+name: 03_model_sales
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`03_model_sales` is a English model originally trained by hannoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/03_model_sales_en_5.2.0_3.0_1700339455179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/03_model_sales_en_5.2.0_3.0_1700339455179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|03_model_sales|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/hannoh/03_model_sales
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-1023_en.md b/docs/_posts/ahmedlone127/2023-11-18-1023_en.md
new file mode 100644
index 000000000000..4fc8363ee79a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-1023_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 1023 DistilBertForSequenceClassification from tingchih
+author: John Snow Labs
+name: 1023
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`1023` is a English model originally trained by tingchih.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/1023_en_5.2.0_3.0_1700345642807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/1023_en_5.2.0_3.0_1700345642807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|1023|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tingchih/1023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-action_decisions_en.md b/docs/_posts/ahmedlone127/2023-11-18-action_decisions_en.md
new file mode 100644
index 000000000000..681b2edafae2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-action_decisions_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English action_decisions DistilBertForSequenceClassification from knkarthick
+author: John Snow Labs
+name: action_decisions
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`action_decisions` is a English model originally trained by knkarthick.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/action_decisions_en_5.2.0_3.0_1700347033471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/action_decisions_en_5.2.0_3.0_1700347033471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|action_decisions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/knkarthick/Action_Decisions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-action_items_en.md b/docs/_posts/ahmedlone127/2023-11-18-action_items_en.md
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,97 @@
+---
+layout: model
+title: English action_items DistilBertForSequenceClassification from knkarthick
+author: John Snow Labs
+name: action_items
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`action_items` is a English model originally trained by knkarthick.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/action_items_en_5.2.0_3.0_1700341844870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/action_items_en_5.2.0_3.0_1700341844870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|action_items|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/knkarthick/Action_Items
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-aes_ielts_en.md b/docs/_posts/ahmedlone127/2023-11-18-aes_ielts_en.md
new file mode 100644
index 000000000000..882d3d0fedd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-aes_ielts_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English aes_ielts DistilBertForSequenceClassification from tkharisov7
+author: John Snow Labs
+name: aes_ielts
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aes_ielts` is a English model originally trained by tkharisov7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aes_ielts_en_5.2.0_3.0_1700347010917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aes_ielts_en_5.2.0_3.0_1700347010917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aes_ielts|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/tkharisov7/aes-ielts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-agent_customer_cls_en.md b/docs/_posts/ahmedlone127/2023-11-18-agent_customer_cls_en.md
new file mode 100644
index 000000000000..f6823ab46953
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-agent_customer_cls_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English agent_customer_cls DistilBertForSequenceClassification from utterworks
+author: John Snow Labs
+name: agent_customer_cls
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`agent_customer_cls` is a English model originally trained by utterworks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/agent_customer_cls_en_5.2.0_3.0_1700344286073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/agent_customer_cls_en_5.2.0_3.0_1700344286073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|agent_customer_cls|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/utterworks/agent-customer-cls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-ai_voice_assistant_en.md b/docs/_posts/ahmedlone127/2023-11-18-ai_voice_assistant_en.md
new file mode 100644
index 000000000000..973bddc09bde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-ai_voice_assistant_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ai_voice_assistant DistilBertForSequenceClassification from qnlbnsl
+author: John Snow Labs
+name: ai_voice_assistant
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai_voice_assistant` is a English model originally trained by qnlbnsl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai_voice_assistant_en_5.2.0_3.0_1700350403569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai_voice_assistant_en_5.2.0_3.0_1700350403569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ai_voice_assistant|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/qnlbnsl/ai_voice_assistant
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-amazon_query_product_ranking_en.md b/docs/_posts/ahmedlone127/2023-11-18-amazon_query_product_ranking_en.md
new file mode 100644
index 000000000000..cec0f6173285
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-amazon_query_product_ranking_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English amazon_query_product_ranking DistilBertForSequenceClassification from LiYuan
+author: John Snow Labs
+name: amazon_query_product_ranking
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_query_product_ranking` is a English model originally trained by LiYuan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_query_product_ranking_en_5.2.0_3.0_1700339958064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_query_product_ranking_en_5.2.0_3.0_1700339958064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_query_product_ranking|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LiYuan/amazon-query-product-ranking
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-angry_birds_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-angry_birds_classifier_en.md
new file mode 100644
index 000000000000..537c64567f06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-angry_birds_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English angry_birds_classifier DistilBertForSequenceClassification from wesleyacheng
+author: John Snow Labs
+name: angry_birds_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`angry_birds_classifier` is a English model originally trained by wesleyacheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/angry_birds_classifier_en_5.2.0_3.0_1700345891167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/angry_birds_classifier_en_5.2.0_3.0_1700345891167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|angry_birds_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/wesleyacheng/angry-birds-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-anomaly_detection_en.md b/docs/_posts/ahmedlone127/2023-11-18-anomaly_detection_en.md
new file mode 100644
index 000000000000..ec1bfe290ddf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-anomaly_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English anomaly_detection DistilBertForSequenceClassification from SrimathiE21ALR044
+author: John Snow Labs
+name: anomaly_detection
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`anomaly_detection` is a English model originally trained by SrimathiE21ALR044.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/anomaly_detection_en_5.2.0_3.0_1700350809132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/anomaly_detection_en_5.2.0_3.0_1700350809132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|anomaly_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SrimathiE21ALR044/Anomaly-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-arabic_base_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-arabic_base_model_en.md
new file mode 100644
index 000000000000..88de90ab5991
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-arabic_base_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English arabic_base_model DistilBertForSequenceClassification from mathildeparlo
+author: John Snow Labs
+name: arabic_base_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabic_base_model` is a English model originally trained by mathildeparlo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabic_base_model_en_5.2.0_3.0_1700342186291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabic_base_model_en_5.2.0_3.0_1700342186291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabic_base_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mathildeparlo/ar_base_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-arxiv_distilbert_base_cased_en.md b/docs/_posts/ahmedlone127/2023-11-18-arxiv_distilbert_base_cased_en.md
new file mode 100644
index 000000000000..ee0d120c9f6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-arxiv_distilbert_base_cased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English arxiv_distilbert_base_cased DistilBertForSequenceClassification from Wi
+author: John Snow Labs
+name: arxiv_distilbert_base_cased
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arxiv_distilbert_base_cased` is a English model originally trained by Wi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arxiv_distilbert_base_cased_en_5.2.0_3.0_1700343368898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arxiv_distilbert_base_cased_en_5.2.0_3.0_1700343368898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arxiv_distilbert_base_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/Wi/arxiv-distilbert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-autonlp_imdb_sentiment_analysis2_7121569_en.md b/docs/_posts/ahmedlone127/2023-11-18-autonlp_imdb_sentiment_analysis2_7121569_en.md
new file mode 100644
index 000000000000..43089aff69d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-autonlp_imdb_sentiment_analysis2_7121569_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autonlp_imdb_sentiment_analysis2_7121569 DistilBertForSequenceClassification from MICADEE
+author: John Snow Labs
+name: autonlp_imdb_sentiment_analysis2_7121569
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autonlp_imdb_sentiment_analysis2_7121569` is a English model originally trained by MICADEE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_imdb_sentiment_analysis2_7121569_en_5.2.0_3.0_1700337740291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_imdb_sentiment_analysis2_7121569_en_5.2.0_3.0_1700337740291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autonlp_imdb_sentiment_analysis2_7121569|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/MICADEE/autonlp-imdb-sentiment-analysis2-7121569
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-banglabert_with_tfmodel_en.md b/docs/_posts/ahmedlone127/2023-11-18-banglabert_with_tfmodel_en.md
new file mode 100644
index 000000000000..f748bb14daad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-banglabert_with_tfmodel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English banglabert_with_tfmodel DistilBertForSequenceClassification from SarwarShafee
+author: John Snow Labs
+name: banglabert_with_tfmodel
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`banglabert_with_tfmodel` is a English model originally trained by SarwarShafee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/banglabert_with_tfmodel_en_5.2.0_3.0_1700339465311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/banglabert_with_tfmodel_en_5.2.0_3.0_1700339465311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banglabert_with_tfmodel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|413.3 MB|
+
+## References
+
+https://huggingface.co/SarwarShafee/BanglaBert_with_TFModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-banking_intent_distilbert_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-banking_intent_distilbert_classifier_en.md
new file mode 100644
index 000000000000..f54d6893074f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-banking_intent_distilbert_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English banking_intent_distilbert_classifier DistilBertForSequenceClassification from lxyuan
+author: John Snow Labs
+name: banking_intent_distilbert_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`banking_intent_distilbert_classifier` is a English model originally trained by lxyuan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/banking_intent_distilbert_classifier_en_5.2.0_3.0_1700342805121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/banking_intent_distilbert_classifier_en_5.2.0_3.0_1700342805121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banking_intent_distilbert_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/lxyuan/banking-intent-distilbert-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-baseline_subtaska_en.md b/docs/_posts/ahmedlone127/2023-11-18-baseline_subtaska_en.md
new file mode 100644
index 000000000000..e3cbc70d10c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-baseline_subtaska_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English baseline_subtaska DistilBertForSequenceClassification from robertotraba
+author: John Snow Labs
+name: baseline_subtaska
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`baseline_subtaska` is a English model originally trained by robertotraba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/baseline_subtaska_en_5.2.0_3.0_1700345189146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/baseline_subtaska_en_5.2.0_3.0_1700345189146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|baseline_subtaska|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/robertotraba/baseline_SubTaskA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-bert_alekseykorshuk_en.md b/docs/_posts/ahmedlone127/2023-11-18-bert_alekseykorshuk_en.md
new file mode 100644
index 000000000000..fcbf2e8256f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-bert_alekseykorshuk_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_alekseykorshuk DistilBertForSequenceClassification from AlekseyKorshuk
+author: John Snow Labs
+name: bert_alekseykorshuk
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_alekseykorshuk` is a English model originally trained by AlekseyKorshuk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_alekseykorshuk_en_5.2.0_3.0_1700344717864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_alekseykorshuk_en_5.2.0_3.0_1700344717864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_alekseykorshuk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AlekseyKorshuk/bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-bert_classification_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-bert_classification_model_en.md
new file mode 100644
index 000000000000..9005d0fd05d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-bert_classification_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_classification_model DistilBertForSequenceClassification from maurosm
+author: John Snow Labs
+name: bert_classification_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_classification_model` is a English model originally trained by maurosm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classification_model_en_5.2.0_3.0_1700342627429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classification_model_en_5.2.0_3.0_1700342627429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classification_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/maurosm/bert_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-bert_network_packet_flow_header_payload_en.md b/docs/_posts/ahmedlone127/2023-11-18-bert_network_packet_flow_header_payload_en.md
new file mode 100644
index 000000000000..76e0082834e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-bert_network_packet_flow_header_payload_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_network_packet_flow_header_payload DistilBertForSequenceClassification from rdpahalavan
+author: John Snow Labs
+name: bert_network_packet_flow_header_payload
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_network_packet_flow_header_payload` is a English model originally trained by rdpahalavan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_network_packet_flow_header_payload_en_5.2.0_3.0_1700346824536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_network_packet_flow_header_payload_en_5.2.0_3.0_1700346824536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+References
+
+https://huggingface.co/harvinder676/bert-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-bert_sentimental_en.md b/docs/_posts/ahmedlone127/2023-11-18-bert_sentimental_en.md
new file mode 100644
index 000000000000..c933c02b02c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-bert_sentimental_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_sentimental DistilBertForSequenceClassification from bowipawan
+author: John Snow Labs
+name: bert_sentimental
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_sentimental` is a English model originally trained by bowipawan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sentimental_en_5.2.0_3.0_1700341326416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sentimental_en_5.2.0_3.0_1700341326416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sentimental|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bowipawan/bert-sentimental
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-binary_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-binary_classification_en.md
new file mode 100644
index 000000000000..8e054c021a2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-binary_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English binary_classification DistilBertForSequenceClassification from autoevaluate
+author: John Snow Labs
+name: binary_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`binary_classification` is a English model originally trained by autoevaluate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/binary_classification_en_5.2.0_3.0_1700347036052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/binary_classification_en_5.2.0_3.0_1700347036052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|binary_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/autoevaluate/binary-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-binary_skills_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-binary_skills_classifier_en.md
new file mode 100644
index 000000000000..c228f8cd916a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-binary_skills_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English binary_skills_classifier DistilBertForSequenceClassification from tkuye
+author: John Snow Labs
+name: binary_skills_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`binary_skills_classifier` is a English model originally trained by tkuye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/binary_skills_classifier_en_5.2.0_3.0_1700342114060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/binary_skills_classifier_en_5.2.0_3.0_1700342114060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bl_books_genre|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/TheBritishLibrary/bl-books-genre
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_chjun_en.md b/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_chjun_en.md
new file mode 100644
index 000000000000..6b008ba74f18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_chjun_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_chjun DistilBertForSequenceClassification from chjun
+author: John Snow Labs
+name: burmese_awesome_model_chjun
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_chjun` is a English model originally trained by chjun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_chjun_en_5.2.0_3.0_1700347787273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_chjun_en_5.2.0_3.0_1700347787273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_chjun|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/chjun/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_shengqin_en.md b/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_shengqin_en.md
new file mode 100644
index 000000000000..1408fa5e02e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_shengqin_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_shengqin DistilBertForSequenceClassification from shengqin
+author: John Snow Labs
+name: burmese_awesome_model_shengqin
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_shengqin` is a English model originally trained by shengqin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_shengqin_en_5.2.0_3.0_1700348330193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_shengqin_en_5.2.0_3.0_1700348330193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_shengqin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/shengqin/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_stevhliu_en.md b/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_stevhliu_en.md
new file mode 100644
index 000000000000..dcdb76044ba5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_stevhliu_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_stevhliu DistilBertForSequenceClassification from stevhliu
+author: John Snow Labs
+name: burmese_awesome_model_stevhliu
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_stevhliu` is a English model originally trained by stevhliu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_stevhliu_en_5.2.0_3.0_1700337299373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_stevhliu_en_5.2.0_3.0_1700337299373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_stevhliu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/stevhliu/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_v2_en.md b/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_v2_en.md
new file mode 100644
index 000000000000..2a5d57dd5630
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-burmese_awesome_model_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_v2 DistilBertForSequenceClassification from rarisenpai
+author: John Snow Labs
+name: burmese_awesome_model_v2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_v2` is a English model originally trained by rarisenpai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_v2_en_5.2.0_3.0_1700339112273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_v2_en_5.2.0_3.0_1700339112273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rarisenpai/my-awesome-model_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-burmese_bert_model_chensyii_en.md b/docs/_posts/ahmedlone127/2023-11-18-burmese_bert_model_chensyii_en.md
new file mode 100644
index 000000000000..14653edfdf9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-burmese_bert_model_chensyii_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_bert_model_chensyii DistilBertForSequenceClassification from chensyii
+author: John Snow Labs
+name: burmese_bert_model_chensyii
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_bert_model_chensyii` is a English model originally trained by chensyii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_bert_model_chensyii_en_5.2.0_3.0_1700342985544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_bert_model_chensyii_en_5.2.0_3.0_1700342985544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_bert_model_chensyii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/chensyii/my_bert_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-burmese_bert_model_v2_en.md b/docs/_posts/ahmedlone127/2023-11-18-burmese_bert_model_v2_en.md
new file mode 100644
index 000000000000..98cb3e30cb4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-burmese_bert_model_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_bert_model_v2 DistilBertForSequenceClassification from chensyii
+author: John Snow Labs
+name: burmese_bert_model_v2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_bert_model_v2` is a English model originally trained by chensyii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_bert_model_v2_en_5.2.0_3.0_1700349258244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_bert_model_v2_en_5.2.0_3.0_1700349258244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_bert_model_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chensyii/my_bert_model_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-burmese_distilbert_model_tirendaz_en.md b/docs/_posts/ahmedlone127/2023-11-18-burmese_distilbert_model_tirendaz_en.md
new file mode 100644
index 000000000000..f2241aaeadc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-burmese_distilbert_model_tirendaz_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_distilbert_model_tirendaz DistilBertForSequenceClassification from Tirendaz
+author: John Snow Labs
+name: burmese_distilbert_model_tirendaz
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_distilbert_model_tirendaz` is a English model originally trained by Tirendaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_distilbert_model_tirendaz_en_5.2.0_3.0_1700343934246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_distilbert_model_tirendaz_en_5.2.0_3.0_1700343934246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_distilbert_model_tirendaz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Tirendaz/my_distilbert_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-burmese_hospital_reco_en.md b/docs/_posts/ahmedlone127/2023-11-18-burmese_hospital_reco_en.md
new file mode 100644
index 000000000000..51d10965a4d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-burmese_hospital_reco_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_hospital_reco DistilBertForSequenceClassification from itsriya
+author: John Snow Labs
+name: burmese_hospital_reco
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_hospital_reco` is a English model originally trained by itsriya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_hospital_reco_en_5.2.0_3.0_1700347470228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_hospital_reco_en_5.2.0_3.0_1700347470228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_hospital_reco|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/itsriya/my_hospital_reco
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-burmese_sequenceclassification_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-burmese_sequenceclassification_model_en.md
new file mode 100644
index 000000000000..4e343c035b49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-burmese_sequenceclassification_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_sequenceclassification_model DistilBertForSequenceClassification from TiffanyTiffany
+author: John Snow Labs
+name: burmese_sequenceclassification_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_sequenceclassification_model` is a English model originally trained by TiffanyTiffany.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_sequenceclassification_model_en_5.2.0_3.0_1700351048904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_sequenceclassification_model_en_5.2.0_3.0_1700351048904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_sequenceclassification_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TiffanyTiffany/my_sequenceClassification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-byt_malurl_db_bu_en.md b/docs/_posts/ahmedlone127/2023-11-18-byt_malurl_db_bu_en.md
new file mode 100644
index 000000000000..963355eab5b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-byt_malurl_db_bu_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English byt_malurl_db_bu DistilBertForSequenceClassification from bgspaditya
+author: John Snow Labs
+name: byt_malurl_db_bu
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`byt_malurl_db_bu` is a English model originally trained by bgspaditya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/byt_malurl_db_bu_en_5.2.0_3.0_1700350091321.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/byt_malurl_db_bu_en_5.2.0_3.0_1700350091321.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|byt_malurl_db_bu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/bgspaditya/byt-malurl-db-bu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-cadd_nsfw_sfw_en.md b/docs/_posts/ahmedlone127/2023-11-18-cadd_nsfw_sfw_en.md
new file mode 100644
index 000000000000..aa98b0534580
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-cadd_nsfw_sfw_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cadd_nsfw_sfw DistilBertForSequenceClassification from feruskas
+author: John Snow Labs
+name: cadd_nsfw_sfw
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cadd_nsfw_sfw` is a English model originally trained by feruskas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cadd_nsfw_sfw_en_5.2.0_3.0_1700351462923.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cadd_nsfw_sfw_en_5.2.0_3.0_1700351462923.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cadd_nsfw_sfw|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/feruskas/CADD-NSFW-SFW
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-categorizer_en.md b/docs/_posts/ahmedlone127/2023-11-18-categorizer_en.md
new file mode 100644
index 000000000000..69a7d56be19c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-categorizer_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English categorizer DistilBertForSequenceClassification from passionMan
+author: John Snow Labs
+name: categorizer
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`categorizer` is a English model originally trained by passionMan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/categorizer_en_5.2.0_3.0_1700338648650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/categorizer_en_5.2.0_3.0_1700338648650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|categorizer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/passionMan/categorizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-chatgpt_eli5_text_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-chatgpt_eli5_text_classifier_en.md
new file mode 100644
index 000000000000..720278451a1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-chatgpt_eli5_text_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chatgpt_eli5_text_classifier DistilBertForSequenceClassification from RafiBrent
+author: John Snow Labs
+name: chatgpt_eli5_text_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chatgpt_eli5_text_classifier` is a English model originally trained by RafiBrent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chatgpt_eli5_text_classifier_en_5.2.0_3.0_1700349959934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chatgpt_eli5_text_classifier_en_5.2.0_3.0_1700349959934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chatgpt_eli5_text_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/RafiBrent/chatgpt_eli5_text_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-chatgpt_en.md b/docs/_posts/ahmedlone127/2023-11-18-chatgpt_en.md
new file mode 100644
index 000000000000..145a6d4f7683
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-chatgpt_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chatgpt DistilBertForSequenceClassification from lewtun
+author: John Snow Labs
+name: chatgpt
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chatgpt` is a English model originally trained by lewtun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chatgpt_en_5.2.0_3.0_1700346276509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chatgpt_en_5.2.0_3.0_1700346276509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chatgpt|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lewtun/chatgpt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-chucklewhizrater_en.md b/docs/_posts/ahmedlone127/2023-11-18-chucklewhizrater_en.md
new file mode 100644
index 000000000000..e503d14d937a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-chucklewhizrater_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chucklewhizrater DistilBertForSequenceClassification from botbrain
+author: John Snow Labs
+name: chucklewhizrater
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chucklewhizrater` is a English model originally trained by botbrain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chucklewhizrater_en_5.2.0_3.0_1700340381257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chucklewhizrater_en_5.2.0_3.0_1700340381257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chucklewhizrater|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/botbrain/ChuckleWhizRater
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-claim3a_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-18-claim3a_distilbert_base_uncased_en.md
new file mode 100644
index 000000000000..2e850c6bf547
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-claim3a_distilbert_base_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English claim3a_distilbert_base_uncased DistilBertForSequenceClassification from SCORE
+author: John Snow Labs
+name: claim3a_distilbert_base_uncased
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`claim3a_distilbert_base_uncased` is a English model originally trained by SCORE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/claim3a_distilbert_base_uncased_en_5.2.0_3.0_1700349670484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/claim3a_distilbert_base_uncased_en_5.2.0_3.0_1700349670484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|claim3a_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SCORE/claim3a-distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-clasificador_news_en.md b/docs/_posts/ahmedlone127/2023-11-18-clasificador_news_en.md
new file mode 100644
index 000000000000..9e74ccc125a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-clasificador_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English clasificador_news DistilBertForSequenceClassification from Alesteba
+author: John Snow Labs
+name: clasificador_news
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clasificador_news` is a English model originally trained by Alesteba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificador_news_en_5.2.0_3.0_1700347962424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificador_news_en_5.2.0_3.0_1700347962424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clasificador_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Alesteba/clasificador-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-code_vs_dutch_en.md b/docs/_posts/ahmedlone127/2023-11-18-code_vs_dutch_en.md
new file mode 100644
index 000000000000..4334b76708eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-code_vs_dutch_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English code_vs_dutch DistilBertForSequenceClassification from usvsnsp
+author: John Snow Labs
+name: code_vs_dutch
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`code_vs_dutch` is a English model originally trained by usvsnsp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/code_vs_dutch_en_5.2.0_3.0_1700341977071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/code_vs_dutch_en_5.2.0_3.0_1700341977071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|code_vs_dutch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/usvsnsp/code-vs-nl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-cross_encoder_msmarco_distilbert_word2vec256k_mlm_400k_en.md b/docs/_posts/ahmedlone127/2023-11-18-cross_encoder_msmarco_distilbert_word2vec256k_mlm_400k_en.md
new file mode 100644
index 000000000000..e19ac3ca103e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-cross_encoder_msmarco_distilbert_word2vec256k_mlm_400k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cross_encoder_msmarco_distilbert_word2vec256k_mlm_400k DistilBertForSequenceClassification from vocab-transformers
+author: John Snow Labs
+name: cross_encoder_msmarco_distilbert_word2vec256k_mlm_400k
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_msmarco_distilbert_word2vec256k_mlm_400k` is a English model originally trained by vocab-transformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_msmarco_distilbert_word2vec256k_mlm_400k_en_5.2.0_3.0_1700345223017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_msmarco_distilbert_word2vec256k_mlm_400k_en_5.2.0_3.0_1700345223017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_msmarco_distilbert_word2vec256k_mlm_400k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|887.9 MB|
+
+## References
+
+https://huggingface.co/vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k-MLM_400k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-cross_encoder_msmarco_distilbert_word2vec256k_mlm_785k_emb_updated_en.md b/docs/_posts/ahmedlone127/2023-11-18-cross_encoder_msmarco_distilbert_word2vec256k_mlm_785k_emb_updated_en.md
new file mode 100644
index 000000000000..a7f1c98cdc41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-cross_encoder_msmarco_distilbert_word2vec256k_mlm_785k_emb_updated_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cross_encoder_msmarco_distilbert_word2vec256k_mlm_785k_emb_updated DistilBertForSequenceClassification from vocab-transformers
+author: John Snow Labs
+name: cross_encoder_msmarco_distilbert_word2vec256k_mlm_785k_emb_updated
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_msmarco_distilbert_word2vec256k_mlm_785k_emb_updated` is a English model originally trained by vocab-transformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_msmarco_distilbert_word2vec256k_mlm_785k_emb_updated_en_5.2.0_3.0_1700346735708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_msmarco_distilbert_word2vec256k_mlm_785k_emb_updated_en_5.2.0_3.0_1700346735708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_msmarco_distilbert_word2vec256k_mlm_785k_emb_updated|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|908.2 MB|
+
+## References
+
+https://huggingface.co/vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k-MLM_785k_emb_updated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-cs4375a1_class_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-cs4375a1_class_model_en.md
new file mode 100644
index 000000000000..1824e1b613af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-cs4375a1_class_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cs4375a1_class_model DistilBertForSequenceClassification from suvelmuttreja
+author: John Snow Labs
+name: cs4375a1_class_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cs4375a1_class_model` is a English model originally trained by suvelmuttreja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cs4375a1_class_model_en_5.2.0_3.0_1700347787969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cs4375a1_class_model_en_5.2.0_3.0_1700347787969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cs4375a1_class_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/suvelmuttreja/cs4375a1_class_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-cyberbullying_sentiment_dsce_2023_en.md b/docs/_posts/ahmedlone127/2023-11-18-cyberbullying_sentiment_dsce_2023_en.md
new file mode 100644
index 000000000000..e51c96d6fe4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-cyberbullying_sentiment_dsce_2023_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cyberbullying_sentiment_dsce_2023 DistilBertForSequenceClassification from sreeniketh
+author: John Snow Labs
+name: cyberbullying_sentiment_dsce_2023
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cyberbullying_sentiment_dsce_2023` is a English model originally trained by sreeniketh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cyberbullying_sentiment_dsce_2023_en_5.2.0_3.0_1700346628196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cyberbullying_sentiment_dsce_2023_en_5.2.0_3.0_1700346628196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cyberbullying_sentiment_dsce_2023|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sreeniketh/cyberbullying_sentiment_dsce_2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-dear_jarvis_monolith_xed_english_en.md b/docs/_posts/ahmedlone127/2023-11-18-dear_jarvis_monolith_xed_english_en.md
new file mode 100644
index 000000000000..d008f8341cd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-dear_jarvis_monolith_xed_english_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dear_jarvis_monolith_xed_english DistilBertForSequenceClassification from JuliusAlphonso
+author: John Snow Labs
+name: dear_jarvis_monolith_xed_english
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dear_jarvis_monolith_xed_english` is a English model originally trained by JuliusAlphonso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dear_jarvis_monolith_xed_english_en_5.2.0_3.0_1700344575211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dear_jarvis_monolith_xed_english_en_5.2.0_3.0_1700344575211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dear_jarvis_monolith_xed_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/JuliusAlphonso/dear-jarvis-monolith-xed-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-dear_jarvis_v5_en.md b/docs/_posts/ahmedlone127/2023-11-18-dear_jarvis_v5_en.md
new file mode 100644
index 000000000000..d2b0b8117221
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-dear_jarvis_v5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dear_jarvis_v5 DistilBertForSequenceClassification from JuliusAlphonso
+author: John Snow Labs
+name: dear_jarvis_v5
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dear_jarvis_v5` is a English model originally trained by JuliusAlphonso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dear_jarvis_v5_en_5.2.0_3.0_1700346446400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dear_jarvis_v5_en_5.2.0_3.0_1700346446400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dear_jarvis_v5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/JuliusAlphonso/dear-jarvis-v5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-depression_detection_model_v2_en.md b/docs/_posts/ahmedlone127/2023-11-18-depression_detection_model_v2_en.md
new file mode 100644
index 000000000000..48f456234d08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-depression_detection_model_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English depression_detection_model_v2 DistilBertForSequenceClassification from DoryDing
+author: John Snow Labs
+name: depression_detection_model_v2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`depression_detection_model_v2` is a English model originally trained by DoryDing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depression_detection_model_v2_en_5.2.0_3.0_1700341998506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depression_detection_model_v2_en_5.2.0_3.0_1700341998506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|depression_detection_model_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/DoryDing/Depression_Detection_Model_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-depression_model_tiemnd_en.md b/docs/_posts/ahmedlone127/2023-11-18-depression_model_tiemnd_en.md
new file mode 100644
index 000000000000..e792e2fe1f06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-depression_model_tiemnd_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English depression_model_tiemnd DistilBertForSequenceClassification from tiemnd
+author: John Snow Labs
+name: depression_model_tiemnd
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`depression_model_tiemnd` is a English model originally trained by tiemnd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depression_model_tiemnd_en_5.2.0_3.0_1700350614064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depression_model_tiemnd_en_5.2.0_3.0_1700350614064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|depression_model_tiemnd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tiemnd/depression_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-depressionanalysis_en.md b/docs/_posts/ahmedlone127/2023-11-18-depressionanalysis_en.md
new file mode 100644
index 000000000000..6d20888b8860
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-depressionanalysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English depressionanalysis DistilBertForSequenceClassification from sanskar
+author: John Snow Labs
+name: depressionanalysis
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`depressionanalysis` is a English model originally trained by sanskar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depressionanalysis_en_5.2.0_3.0_1700339456466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depressionanalysis_en_5.2.0_3.0_1700339456466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|depressionanalysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sanskar/DepressionAnalysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-destilbert_uncased_fever_nli_en.md b/docs/_posts/ahmedlone127/2023-11-18-destilbert_uncased_fever_nli_en.md
new file mode 100644
index 000000000000..8f40d9462301
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-destilbert_uncased_fever_nli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English destilbert_uncased_fever_nli DistilBertForSequenceClassification from ernlavr
+author: John Snow Labs
+name: destilbert_uncased_fever_nli
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`destilbert_uncased_fever_nli` is a English model originally trained by ernlavr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/destilbert_uncased_fever_nli_en_5.2.0_3.0_1700346443749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/destilbert_uncased_fever_nli_en_5.2.0_3.0_1700346443749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|destilbert_uncased_fever_nli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ernlavr/destilbert_uncased_fever_nli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-detect_ai_text_1_en.md b/docs/_posts/ahmedlone127/2023-11-18-detect_ai_text_1_en.md
new file mode 100644
index 000000000000..4b123f8f3a16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-detect_ai_text_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English detect_ai_text_1 DistilBertForSequenceClassification from akshayvkt
+author: John Snow Labs
+name: detect_ai_text_1
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`detect_ai_text_1` is a English model originally trained by akshayvkt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/detect_ai_text_1_en_5.2.0_3.0_1700349503930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/detect_ai_text_1_en_5.2.0_3.0_1700349503930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|detect_ai_text_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/akshayvkt/detect-ai-text-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-detect_ai_text_en.md b/docs/_posts/ahmedlone127/2023-11-18-detect_ai_text_en.md
new file mode 100644
index 000000000000..9731cc74efe8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-detect_ai_text_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English detect_ai_text DistilBertForSequenceClassification from akshayvkt
+author: John Snow Labs
+name: detect_ai_text
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`detect_ai_text` is a English model originally trained by akshayvkt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/detect_ai_text_en_5.2.0_3.0_1700351621688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/detect_ai_text_en_5.2.0_3.0_1700351621688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|detect_ai_text|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/akshayvkt/detect-ai-text
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distil_bert_uncased_finetuned_relations_en.md b/docs/_posts/ahmedlone127/2023-11-18-distil_bert_uncased_finetuned_relations_en.md
new file mode 100644
index 000000000000..75f4b245b611
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distil_bert_uncased_finetuned_relations_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distil_bert_uncased_finetuned_relations DistilBertForSequenceClassification from nikolamilosevic
+author: John Snow Labs
+name: distil_bert_uncased_finetuned_relations
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_bert_uncased_finetuned_relations` is a English model originally trained by nikolamilosevic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_bert_uncased_finetuned_relations_en_5.2.0_3.0_1700349241337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_bert_uncased_finetuned_relations_en_5.2.0_3.0_1700349241337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_bert_uncased_finetuned_relations|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nikolamilosevic/distil_bert_uncased-finetuned-relations
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbart_mnli_github_issues_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbart_mnli_github_issues_en.md
new file mode 100644
index 000000000000..8a1a533f2955
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbart_mnli_github_issues_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbart_mnli_github_issues DistilBertForSequenceClassification from AntoineMC
+author: John Snow Labs
+name: distilbart_mnli_github_issues
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbart_mnli_github_issues` is a English model originally trained by AntoineMC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbart_mnli_github_issues_en_5.2.0_3.0_1700340083472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbart_mnli_github_issues_en_5.2.0_3.0_1700340083472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbart_mnli_github_issues|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AntoineMC/distilbart-mnli-github-issues
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_accounting_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_accounting_en.md
new file mode 100644
index 000000000000..61101f17ad0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_accounting_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_accounting DistilBertForSequenceClassification from TomeeSK
+author: John Snow Labs
+name: distilbert_accounting
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_accounting` is a English model originally trained by TomeeSK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_accounting_en_5.2.0_3.0_1700347526041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_accounting_en_5.2.0_3.0_1700347526041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_accounting|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.5 MB|
+
+## References
+
+https://huggingface.co/TomeeSK/distilbert-accounting
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_ag_cnn_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_ag_cnn_en.md
new file mode 100644
index 000000000000..a3f886660f97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_ag_cnn_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_ag_cnn DistilBertForSequenceClassification from AyoubChLin
+author: John Snow Labs
+name: distilbert_ag_cnn
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_ag_cnn` is a English model originally trained by AyoubChLin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_ag_cnn_en_5.2.0_3.0_1700349529251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_ag_cnn_en_5.2.0_3.0_1700349529251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_ag_cnn|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AyoubChLin/distilbert_ag_cnn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_allsides_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_allsides_en.md
new file mode 100644
index 000000000000..cc22d957e743
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_allsides_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_allsides DistilBertForSequenceClassification from valurank
+author: John Snow Labs
+name: distilbert_allsides
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_allsides` is a English model originally trained by valurank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_allsides_en_5.2.0_3.0_1700339289478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_allsides_en_5.2.0_3.0_1700339289478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_allsides|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/valurank/distilbert-allsides
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_amazon_shoe_reviews_juliensimon_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_amazon_shoe_reviews_juliensimon_en.md
new file mode 100644
index 000000000000..a8883f8827d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_amazon_shoe_reviews_juliensimon_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_amazon_shoe_reviews_juliensimon DistilBertForSequenceClassification from juliensimon
+author: John Snow Labs
+name: distilbert_amazon_shoe_reviews_juliensimon
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_amazon_shoe_reviews_juliensimon` is a English model originally trained by juliensimon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_amazon_shoe_reviews_juliensimon_en_5.2.0_3.0_1700341330035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_amazon_shoe_reviews_juliensimon_en_5.2.0_3.0_1700341330035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_amazon_shoe_reviews_juliensimon|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/juliensimon/distilbert-amazon-shoe-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_cola_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_cola_en.md
new file mode 100644
index 000000000000..228e85c3d8a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_cola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_cased_cola DistilBertForSequenceClassification from textattack
+author: John Snow Labs
+name: distilbert_base_cased_cola
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_cola` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_cola_en_5.2.0_3.0_1700338034913.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_cola_en_5.2.0_3.0_1700338034913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_cola|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/textattack/distilbert-base-cased-CoLA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_finetuned_fake_and_real_news_dataset_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_finetuned_fake_and_real_news_dataset_en.md
new file mode 100644
index 000000000000..aeb2618b785a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_finetuned_fake_and_real_news_dataset_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_fake_and_real_news_dataset DistilBertForSequenceClassification from Giyaseddin
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_fake_and_real_news_dataset
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_fake_and_real_news_dataset` is a English model originally trained by Giyaseddin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_fake_and_real_news_dataset_en_5.2.0_3.0_1700347645240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_fake_and_real_news_dataset_en_5.2.0_3.0_1700347645240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_fake_and_real_news_dataset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/Giyaseddin/distilbert-base-cased-finetuned-fake-and-real-news-dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_qqp_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_qqp_en.md
new file mode 100644
index 000000000000..81dcb995b569
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_qqp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_cased_qqp DistilBertForSequenceClassification from textattack
+author: John Snow Labs
+name: distilbert_base_cased_qqp
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_qqp` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_qqp_en_5.2.0_3.0_1700344547025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_qqp_en_5.2.0_3.0_1700344547025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_qqp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/textattack/distilbert-base-cased-QQP
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_sst_2_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_sst_2_en.md
new file mode 100644
index 000000000000..2c795f85d170
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_cased_sst_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_cased_sst_2 DistilBertForSequenceClassification from textattack
+author: John Snow Labs
+name: distilbert_base_cased_sst_2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_sst_2` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_sst_2_en_5.2.0_3.0_1700342040464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_sst_2_en_5.2.0_3.0_1700342040464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_sst_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/textattack/distilbert-base-cased-SST-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_fallacy_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_fallacy_classification_en.md
new file mode 100644
index 000000000000..017753a980b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_fallacy_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_fallacy_classification DistilBertForSequenceClassification from q3fer
+author: John Snow Labs
+name: distilbert_base_fallacy_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_fallacy_classification` is a English model originally trained by q3fer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_fallacy_classification_en_5.2.0_3.0_1700344394413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_fallacy_classification_en_5.2.0_3.0_1700344394413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_fallacy_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/q3fer/distilbert-base-fallacy-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_financial_relation_extraction_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_financial_relation_extraction_en.md
new file mode 100644
index 000000000000..97ac9666d9e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_financial_relation_extraction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_financial_relation_extraction DistilBertForSequenceClassification from yseop
+author: John Snow Labs
+name: distilbert_base_financial_relation_extraction
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_financial_relation_extraction` is a English model originally trained by yseop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_financial_relation_extraction_en_5.2.0_3.0_1700341824650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_financial_relation_extraction_en_5.2.0_3.0_1700341824650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_financial_relation_extraction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yseop/distilbert-base-financial-relation-extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_multi_french_sexism_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_multi_french_sexism_en.md
new file mode 100644
index 000000000000..4a7dd49eca08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_multi_french_sexism_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_multi_french_sexism DistilBertForSequenceClassification from lidiapierre
+author: John Snow Labs
+name: distilbert_base_multi_french_sexism
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multi_french_sexism` is a English model originally trained by lidiapierre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multi_french_sexism_en_5.2.0_3.0_1700349435272.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multi_french_sexism_en_5.2.0_3.0_1700349435272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_vietnamese_topicifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|515.5 MB|
+
+## References
+
+https://huggingface.co/lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_pii_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_pii_en.md
new file mode 100644
index 000000000000..0a4502a60fad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_pii_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_pii DistilBertForSequenceClassification from bburnworth
+author: John Snow Labs
+name: distilbert_base_pii
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_pii` is a English model originally trained by bburnworth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_pii_en_5.2.0_3.0_1700342631770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_pii_en_5.2.0_3.0_1700342631770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_pii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bburnworth/distilbert-base-pii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_spanish_uncased_finetuned_mldoc_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_spanish_uncased_finetuned_mldoc_en.md
new file mode 100644
index 000000000000..a598584cdf8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_spanish_uncased_finetuned_mldoc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_spanish_uncased_finetuned_mldoc DistilBertForSequenceClassification from dccuchile
+author: John Snow Labs
+name: distilbert_base_spanish_uncased_finetuned_mldoc
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_spanish_uncased_finetuned_mldoc` is a English model originally trained by dccuchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_mldoc_en_5.2.0_3.0_1700344423595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_mldoc_en_5.2.0_3.0_1700344423595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_spanish_uncased_finetuned_mldoc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.4 MB|
+
+## References
+
+https://huggingface.co/dccuchile/distilbert-base-spanish-uncased-finetuned-mldoc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_spanish_uncased_finetuned_xnli_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_spanish_uncased_finetuned_xnli_en.md
new file mode 100644
index 000000000000..2e4c7778bcea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_spanish_uncased_finetuned_xnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_spanish_uncased_finetuned_xnli DistilBertForSequenceClassification from dccuchile
+author: John Snow Labs
+name: distilbert_base_spanish_uncased_finetuned_xnli
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_spanish_uncased_finetuned_xnli` is a English model originally trained by dccuchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_xnli_en_5.2.0_3.0_1700349531748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_xnli_en_5.2.0_3.0_1700349531748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_turkish_cased_offensive|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|254.1 MB|
+
+## References
+
+https://huggingface.co/Overfit-GM/distilbert-base-turkish-cased-offensive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__enron_spam__all_train_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__enron_spam__all_train_en.md
new file mode 100644
index 000000000000..9f092b8b149d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__enron_spam__all_train_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__enron_spam__all_train DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__enron_spam__all_train
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__enron_spam__all_train` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__enron_spam__all_train_en_5.2.0_3.0_1700343164036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__enron_spam__all_train_en_5.2.0_3.0_1700343164036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__enron_spam__all_train|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__enron_spam__all-train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_16_0_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_16_0_en.md
new file mode 100644
index 000000000000..89f95edf5ca3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_16_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_16_0 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_16_0
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_16_0` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_0_en_5.2.0_3.0_1700351544640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_0_en_5.2.0_3.0_1700351544640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_16_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_16_2_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_16_2_en.md
new file mode 100644
index 000000000000..0b274431c00d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_16_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_16_2 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_16_2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_16_2` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_2_en_5.2.0_3.0_1700350805521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_2_en_5.2.0_3.0_1700350805521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_16_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_16_7_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_16_7_en.md
new file mode 100644
index 000000000000..5e2f1a71ae5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_16_7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_16_7 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_16_7
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_16_7` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_7_en_5.2.0_3.0_1700350982840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_7_en_5.2.0_3.0_1700350982840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_16_7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_32_3_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_32_3_en.md
new file mode 100644
index 000000000000..1ea3392d69a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_32_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_32_3 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_32_3
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_32_3` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_3_en_5.2.0_3.0_1700351823680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_3_en_5.2.0_3.0_1700351823680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_32_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-32-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_32_5_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_32_5_en.md
new file mode 100644
index 000000000000..a45991ba5d06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_32_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_32_5 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_32_5
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_32_5` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_5_en_5.2.0_3.0_1700348813610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_5_en_5.2.0_3.0_1700348813610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_32_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-32-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_8_4_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_8_4_en.md
new file mode 100644
index 000000000000..bd2213f3af75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_8_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_8_4 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_8_4
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_8_4` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_4_en_5.2.0_3.0_1700349816116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_4_en_5.2.0_3.0_1700349816116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_8_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_8_5_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_8_5_en.md
new file mode 100644
index 000000000000..a23621e4332b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__hate_speech_offensive__train_8_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_8_5 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_8_5
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_8_5` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_5_en_5.2.0_3.0_1700348542850.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_5_en_5.2.0_3.0_1700348542850.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_8_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__sst2__train_8_5_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__sst2__train_8_5_en.md
new file mode 100644
index 000000000000..f9baf43ce17b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__sst2__train_8_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_8_5 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_8_5
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_8_5` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_5_en_5.2.0_3.0_1700351134723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_5_en_5.2.0_3.0_1700351134723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_8_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-8-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__sst5__all_train_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__sst5__all_train_en.md
new file mode 100644
index 000000000000..5c71c54b2478
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__sst5__all_train_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst5__all_train DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst5__all_train
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst5__all_train` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst5__all_train_en_5.2.0_3.0_1700348903568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst5__all_train_en_5.2.0_3.0_1700348903568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst5__all_train|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst5__all-train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__subj__all_train_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__subj__all_train_en.md
new file mode 100644
index 000000000000..709b3b7f2de2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased__subj__all_train_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__subj__all_train DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__subj__all_train
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__subj__all_train` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__all_train_en_5.2.0_3.0_1700351546871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__all_train_en_5.2.0_3.0_1700351546871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__subj__all_train|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__subj__all-train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_ag_news_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_ag_news_en.md
new file mode 100644
index 000000000000..922b0f261e7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_ag_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_ag_news DistilBertForSequenceClassification from textattack
+author: John Snow Labs
+name: distilbert_base_uncased_ag_news
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ag_news` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ag_news_en_5.2.0_3.0_1700338334317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ag_news_en_5.2.0_3.0_1700338334317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ag_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/textattack/distilbert-base-uncased-ag-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_airlines_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_airlines_en.md
new file mode 100644
index 000000000000..87f434a30e74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_airlines_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_airlines DistilBertForSequenceClassification from tasosk
+author: John Snow Labs
+name: distilbert_base_uncased_airlines
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_airlines` is a English model originally trained by tasosk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_airlines_en_5.2.0_3.0_1700345026499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_airlines_en_5.2.0_3.0_1700345026499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_airlines|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tasosk/distilbert-base-uncased-airlines
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_career_path_prediction_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_career_path_prediction_en.md
new file mode 100644
index 000000000000..f506e8a73553
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_career_path_prediction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_career_path_prediction DistilBertForSequenceClassification from fazni
+author: John Snow Labs
+name: distilbert_base_uncased_career_path_prediction
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_career_path_prediction` is a English model originally trained by fazni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_career_path_prediction_en_5.2.0_3.0_1700351684734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_career_path_prediction_en_5.2.0_3.0_1700351684734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_career_path_prediction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fazni/distilbert-base-uncased-career-path-prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_cola_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_cola_en.md
new file mode 100644
index 000000000000..783c4eec2bb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_cola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_cola DistilBertForSequenceClassification from textattack
+author: John Snow Labs
+name: distilbert_base_uncased_cola
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_cola` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cola_en_5.2.0_3.0_1700338086761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cola_en_5.2.0_3.0_1700338086761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_cola|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/textattack/distilbert-base-uncased-CoLA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_dangerrat_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_dangerrat_en.md
new file mode 100644
index 000000000000..1c0b31c38a15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_dangerrat_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_dangerrat DistilBertForSequenceClassification from DangerRat
+author: John Snow Labs
+name: distilbert_base_uncased_dangerrat
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_dangerrat` is a English model originally trained by DangerRat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_dangerrat_en_5.2.0_3.0_1700348334815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_dangerrat_en_5.2.0_3.0_1700348334815.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_dangerrat|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/DangerRat/distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilbert_model_enyonam_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilbert_model_enyonam_en.md
new file mode 100644
index 000000000000..8e2bb7812c19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilbert_model_enyonam_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilbert_model_enyonam DistilBertForSequenceClassification from Enyonam
+author: John Snow Labs
+name: distilbert_base_uncased_distilbert_model_enyonam
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilbert_model_enyonam` is a English model originally trained by Enyonam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilbert_model_enyonam_en_5.2.0_3.0_1700345029042.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilbert_model_enyonam_en_5.2.0_3.0_1700345029042.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilbert_model_enyonam|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Enyonam/distilbert-base-uncased-Distilbert-Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilled_clinc_haesun_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilled_clinc_haesun_en.md
new file mode 100644
index 000000000000..f0ab49076543
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilled_clinc_haesun_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_haesun DistilBertForSequenceClassification from haesun
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_haesun
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_haesun` is a English model originally trained by haesun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_haesun_en_5.2.0_3.0_1700349082463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_haesun_en_5.2.0_3.0_1700349082463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_haesun|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/haesun/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilled_clinc_mhf_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilled_clinc_mhf_en.md
new file mode 100644
index 000000000000..905d69e0f02e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilled_clinc_mhf_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_mhf DistilBertForSequenceClassification from MhF
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_mhf
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_mhf` is a English model originally trained by MhF.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_mhf_en_5.2.0_3.0_1700348898334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_mhf_en_5.2.0_3.0_1700348898334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_mhf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/MhF/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilled_clinc_transformersbook_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilled_clinc_transformersbook_en.md
new file mode 100644
index 000000000000..0b44c516b0ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_distilled_clinc_transformersbook_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_transformersbook DistilBertForSequenceClassification from transformersbook
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_transformersbook
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_transformersbook` is a English model originally trained by transformersbook.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_transformersbook_en_5.2.0_3.0_1700341178720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_transformersbook_en_5.2.0_3.0_1700341178720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_transformersbook|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/transformersbook/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_empathetic_dialogues_context_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_empathetic_dialogues_context_en.md
new file mode 100644
index 000000000000..24ded02364f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_empathetic_dialogues_context_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_empathetic_dialogues_context DistilBertForSequenceClassification from bdotloh
+author: John Snow Labs
+name: distilbert_base_uncased_empathetic_dialogues_context
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_empathetic_dialogues_context` is a English model originally trained by bdotloh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_empathetic_dialogues_context_en_5.2.0_3.0_1700338025327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_empathetic_dialogues_context_en_5.2.0_3.0_1700338025327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_empathetic_dialogues_context|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bdotloh/distilbert-base-uncased-empathetic-dialogues-context
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_empatheticdialogues_sentiment_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_empatheticdialogues_sentiment_classifier_en.md
new file mode 100644
index 000000000000..2e861c7072b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_empatheticdialogues_sentiment_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_empatheticdialogues_sentiment_classifier DistilBertForSequenceClassification from benjaminbeilharz
+author: John Snow Labs
+name: distilbert_base_uncased_empatheticdialogues_sentiment_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_empatheticdialogues_sentiment_classifier` is a English model originally trained by benjaminbeilharz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_empatheticdialogues_sentiment_classifier_en_5.2.0_3.0_1700345270285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_empatheticdialogues_sentiment_classifier_en_5.2.0_3.0_1700345270285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_empatheticdialogues_sentiment_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/benjaminbeilharz/distilbert-base-uncased-empatheticdialogues-sentiment-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_few_shot_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_few_shot_sentiment_model_en.md
new file mode 100644
index 000000000000..07cee2750b88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_few_shot_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_few_shot_sentiment_model DistilBertForSequenceClassification from okho0653
+author: John Snow Labs
+name: distilbert_base_uncased_few_shot_sentiment_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_few_shot_sentiment_model` is a English model originally trained by okho0653.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_few_shot_sentiment_model_en_5.2.0_3.0_1700345398386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_few_shot_sentiment_model_en_5.2.0_3.0_1700345398386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_few_shot_sentiment_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/okho0653/distilbert-base-uncased-few-shot-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_financial_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_financial_sentiment_analysis_en.md
new file mode 100644
index 000000000000..b62c6055db67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_financial_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_financial_sentiment_analysis DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_financial_sentiment_analysis
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_financial_sentiment_analysis` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_financial_sentiment_analysis_en_5.2.0_3.0_1700343536764.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_financial_sentiment_analysis_en_5.2.0_3.0_1700343536764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_financial_sentiment_analysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-Financial_Sentiment_Analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_9th_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_9th_en.md
new file mode 100644
index 000000000000..7dcb19ec340b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_9th_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_9th DistilBertForSequenceClassification from Katsiaryna
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_9th
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_9th` is a English model originally trained by Katsiaryna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_9th_en_5.2.0_3.0_1700350978867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_9th_en_5.2.0_3.0_1700350978867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_9th|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Katsiaryna/distilbert-base-uncased-finetuned_9th
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_amazon_chinese_20000_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_amazon_chinese_20000_en.md
new file mode 100644
index 000000000000..9cc0d8ee032b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_amazon_chinese_20000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_amazon_chinese_20000 DistilBertForSequenceClassification from ASCCCCCCCC
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_amazon_chinese_20000
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_amazon_chinese_20000` is a English model originally trained by ASCCCCCCCC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_chinese_20000_en_5.2.0_3.0_1700351141632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_chinese_20000_en_5.2.0_3.0_1700351141632.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_amazon_chinese_20000|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ASCCCCCCCC/distilbert-base-uncased-finetuned-amazon_zh_20000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_assamese_sentences_fewshot_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_assamese_sentences_fewshot_en.md
new file mode 100644
index 000000000000..17114d5ceb37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_assamese_sentences_fewshot_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_assamese_sentences_fewshot DistilBertForSequenceClassification from sarahflan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_assamese_sentences_fewshot
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_assamese_sentences_fewshot` is a English model originally trained by sarahflan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_assamese_sentences_fewshot_en_5.2.0_3.0_1700344711202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_assamese_sentences_fewshot_en_5.2.0_3.0_1700344711202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_assamese_sentences_fewshot|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/sarahflan/distilbert-base-uncased-finetuned-as_sentences_fewshot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_banking77_optimum_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_banking77_optimum_en.md
new file mode 100644
index 000000000000..14b3ba4a12f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_banking77_optimum_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_banking77_optimum DistilBertForSequenceClassification from optimum
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_banking77_optimum
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_banking77_optimum` is a English model originally trained by optimum.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_banking77_optimum_en_5.2.0_3.0_1700343166305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_banking77_optimum_en_5.2.0_3.0_1700343166305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_banking77_optimum|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/optimum/distilbert-base-uncased-finetuned-banking77
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_classification_piecake_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_classification_piecake_en.md
new file mode 100644
index 000000000000..5bfcc52be4ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_classification_piecake_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_classification_piecake DistilBertForSequenceClassification from piecake
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_classification_piecake
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_classification_piecake` is a English model originally trained by piecake.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_classification_piecake_en_5.2.0_3.0_1700351369784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_classification_piecake_en_5.2.0_3.0_1700351369784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_classification_piecake|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/piecake/distilbert-base-uncased-finetuned-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_clinc_ascccccccc_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_clinc_ascccccccc_en.md
new file mode 100644
index 000000000000..40a4701e8665
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_clinc_ascccccccc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_ascccccccc DistilBertForSequenceClassification from ASCCCCCCCC
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_ascccccccc
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_ascccccccc` is a English model originally trained by ASCCCCCCCC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ascccccccc_en_5.2.0_3.0_1700346037680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ascccccccc_en_5.2.0_3.0_1700346037680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_ascccccccc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/ASCCCCCCCC/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_clinc_mhf_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_clinc_mhf_en.md
new file mode 100644
index 000000000000..f97399fbc1c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_clinc_mhf_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_mhf DistilBertForSequenceClassification from MhF
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_mhf
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_mhf` is a English model originally trained by MhF.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_mhf_en_5.2.0_3.0_1700348957742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_mhf_en_5.2.0_3.0_1700348957742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_mhf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/MhF/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_clinc_transformersbook_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_clinc_transformersbook_en.md
new file mode 100644
index 000000000000..a394af205bc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_clinc_transformersbook_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_transformersbook DistilBertForSequenceClassification from transformersbook
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_transformersbook
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_transformersbook` is a English model originally trained by transformersbook.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_transformersbook_en_5.2.0_3.0_1700344316628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_transformersbook_en_5.2.0_3.0_1700344316628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_transformersbook|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/transformersbook/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_code_snippet_quality_scoring_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_code_snippet_quality_scoring_en.md
new file mode 100644
index 000000000000..3f80ef2b20d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_code_snippet_quality_scoring_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_code_snippet_quality_scoring DistilBertForSequenceClassification from Johannes
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_code_snippet_quality_scoring
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_code_snippet_quality_scoring` is a English model originally trained by Johannes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_code_snippet_quality_scoring_en_5.2.0_3.0_1700351369768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_code_snippet_quality_scoring_en_5.2.0_3.0_1700351369768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_code_snippet_quality_scoring|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Johannes/distilbert-base-uncased-finetuned-code-snippet-quality-scoring
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_09panesara_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_09panesara_en.md
new file mode 100644
index 000000000000..87473ce5b5fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_09panesara_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_09panesara DistilBertForSequenceClassification from 09panesara
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_09panesara
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_09panesara` is a English model originally trained by 09panesara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_09panesara_en_5.2.0_3.0_1700343536716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_09panesara_en_5.2.0_3.0_1700343536716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_09panesara|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/09panesara/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_123abhialflkfo_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_123abhialflkfo_en.md
new file mode 100644
index 000000000000..2c2f452d2946
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_123abhialflkfo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_123abhialflkfo DistilBertForSequenceClassification from 123abhiALFLKFO
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_123abhialflkfo
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_123abhialflkfo` is a English model originally trained by 123abhiALFLKFO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_123abhialflkfo_en_5.2.0_3.0_1700346628597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_123abhialflkfo_en_5.2.0_3.0_1700346628597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_123abhialflkfo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/123abhiALFLKFO/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_2umm3r_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_2umm3r_en.md
new file mode 100644
index 000000000000..f9a7aa934c02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_2umm3r_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_2umm3r DistilBertForSequenceClassification from 2umm3r
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_2umm3r
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_2umm3r` is a English model originally trained by 2umm3r.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_2umm3r_en_5.2.0_3.0_1700345476102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_2umm3r_en_5.2.0_3.0_1700345476102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_2umm3r|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/2umm3r/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_ahren09_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_ahren09_en.md
new file mode 100644
index 000000000000..90d6890746c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_ahren09_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_ahren09 DistilBertForSequenceClassification from Ahren09
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_ahren09
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_ahren09` is a English model originally trained by Ahren09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ahren09_en_5.2.0_3.0_1700348322845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ahren09_en_5.2.0_3.0_1700348322845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_ahren09|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Ahren09/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_akash7897_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_akash7897_en.md
new file mode 100644
index 000000000000..1a7de5fcea51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_akash7897_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_akash7897 DistilBertForSequenceClassification from Akash7897
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_akash7897
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_akash7897` is a English model originally trained by Akash7897.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_akash7897_en_5.2.0_3.0_1700350494978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_akash7897_en_5.2.0_3.0_1700350494978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_akash7897|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Akash7897/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_alstractor_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_alstractor_en.md
new file mode 100644
index 000000000000..1762f96764ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_alstractor_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_alstractor DistilBertForSequenceClassification from Alstractor
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_alstractor
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_alstractor` is a English model originally trained by Alstractor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_alstractor_en_5.2.0_3.0_1700351668472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_alstractor_en_5.2.0_3.0_1700351668472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_alstractor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Alstractor/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_bahija_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_bahija_en.md
new file mode 100644
index 000000000000..6701fc1b2fa9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_bahija_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_bahija DistilBertForSequenceClassification from BAHIJA
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_bahija
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_bahija` is a English model originally trained by BAHIJA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bahija_en_5.2.0_3.0_1700348759185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bahija_en_5.2.0_3.0_1700348759185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_bahija|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BAHIJA/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_bearthreat_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_bearthreat_en.md
new file mode 100644
index 000000000000..415c00370ab5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_bearthreat_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_bearthreat DistilBertForSequenceClassification from BearThreat
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_bearthreat
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_bearthreat` is a English model originally trained by BearThreat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bearthreat_en_5.2.0_3.0_1700349099839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bearthreat_en_5.2.0_3.0_1700349099839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_bearthreat|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/BearThreat/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_jungwoo_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_jungwoo_en.md
new file mode 100644
index 000000000000..f2525a8ed527
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_jungwoo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_jungwoo DistilBertForSequenceClassification from Jungwoo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_jungwoo
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_jungwoo` is a English model originally trained by Jungwoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jungwoo_en_5.2.0_3.0_1700349659464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jungwoo_en_5.2.0_3.0_1700349659464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_jungwoo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Jungwoo/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_kien_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_kien_en.md
new file mode 100644
index 000000000000..267017681924
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_kien_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_kien DistilBertForSequenceClassification from Kien
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_kien
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_kien` is a English model originally trained by Kien.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kien_en_5.2.0_3.0_1700351928680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kien_en_5.2.0_3.0_1700351928680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_kien|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Kien/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_kieran_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_kieran_en.md
new file mode 100644
index 000000000000..ea87b28cfcc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_kieran_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_kieran DistilBertForSequenceClassification from Kieran
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_kieran
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_kieran` is a English model originally trained by Kieran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kieran_en_5.2.0_3.0_1700351137197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kieran_en_5.2.0_3.0_1700351137197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_kieran|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kieran/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_kumicho_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_kumicho_en.md
new file mode 100644
index 000000000000..cc9d4705f667
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_kumicho_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_kumicho DistilBertForSequenceClassification from Kumicho
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_kumicho
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_kumicho` is a English model originally trained by Kumicho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kumicho_en_5.2.0_3.0_1700348661601.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kumicho_en_5.2.0_3.0_1700348661601.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_kumicho|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kumicho/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_melissatessa_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_melissatessa_en.md
new file mode 100644
index 000000000000..c1f96c713529
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_melissatessa_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_melissatessa DistilBertForSequenceClassification from MelissaTESSA
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_melissatessa
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_melissatessa` is a English model originally trained by MelissaTESSA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_melissatessa_en_5.2.0_3.0_1700349646643.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_melissatessa_en_5.2.0_3.0_1700349646643.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_melissatessa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MelissaTESSA/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_minyoung_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_minyoung_en.md
new file mode 100644
index 000000000000..d9def6f47d26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_minyoung_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_minyoung DistilBertForSequenceClassification from MINYOUNG
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_minyoung
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_minyoung` is a English model originally trained by MINYOUNG.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_minyoung_en_5.2.0_3.0_1700349492351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_minyoung_en_5.2.0_3.0_1700349492351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_minyoung|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/MINYOUNG/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_misbahf_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_misbahf_en.md
new file mode 100644
index 000000000000..ef343e9223a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_cola_misbahf_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_misbahf DistilBertForSequenceClassification from MisbaHF
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_misbahf
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_misbahf` is a English model originally trained by MisbaHF.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_misbahf_en_5.2.0_3.0_1700349958984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_misbahf_en_5.2.0_3.0_1700349958984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_misbahf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MisbaHF/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_customer_reviews_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_customer_reviews_en.md
new file mode 100644
index 000000000000..21ce7e74312e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_customer_reviews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_customer_reviews DistilBertForSequenceClassification from alexiskirke
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_customer_reviews
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_customer_reviews` is a English model originally trained by alexiskirke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_customer_reviews_en_5.2.0_3.0_1700347878994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_customer_reviews_en_5.2.0_3.0_1700347878994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_customer_reviews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/alexiskirke/distilbert-base-uncased-finetuned-customer-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_dbpedia_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_dbpedia_en.md
new file mode 100644
index 000000000000..e3ac073cdfbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_dbpedia_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_dbpedia DistilBertForSequenceClassification from Danni
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_dbpedia
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_dbpedia` is a English model originally trained by Danni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dbpedia_en_5.2.0_3.0_1700347194021.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dbpedia_en_5.2.0_3.0_1700347194021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_dbpedia|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Danni/distilbert-base-uncased-finetuned-dbpedia
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_dialog_acts_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_dialog_acts_en.md
new file mode 100644
index 000000000000..21565feef93f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_dialog_acts_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_dialog_acts DistilBertForSequenceClassification from JIHussain
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_dialog_acts
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_dialog_acts` is a English model originally trained by JIHussain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dialog_acts_en_5.2.0_3.0_1700348759153.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_dialog_acts_en_5.2.0_3.0_1700348759153.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_dialog_acts|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JIHussain/distilbert-base-uncased-finetuned-dialog-acts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_activationai_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_activationai_en.md
new file mode 100644
index 000000000000..981e7af7dcfc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_activationai_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_activationai DistilBertForSequenceClassification from ActivationAI
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_activationai
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_activationai` is a English model originally trained by ActivationAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_activationai_en_5.2.0_3.0_1700344167827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_activationai_en_5.2.0_3.0_1700344167827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_activationai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ActivationAI/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_aron_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_aron_en.md
new file mode 100644
index 000000000000..1fee24b5d389
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_aron_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_aron DistilBertForSequenceClassification from Aron
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_aron
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_aron` is a English model originally trained by Aron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aron_en_5.2.0_3.0_1700345614884.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aron_en_5.2.0_3.0_1700345614884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_aron|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Aron/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_crives_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_crives_en.md
new file mode 100644
index 000000000000..136476e47077
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_crives_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_crives DistilBertForSequenceClassification from Crives
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_crives
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_crives` is a English model originally trained by Crives.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_crives_en_5.2.0_3.0_1700346824523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_crives_en_5.2.0_3.0_1700346824523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_crives|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Crives/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_esuriddick_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_esuriddick_en.md
new file mode 100644
index 000000000000..540f5e0053cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_esuriddick_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_esuriddick DistilBertForSequenceClassification from esuriddick
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_esuriddick
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_esuriddick` is a English model originally trained by esuriddick.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_esuriddick_en_5.2.0_3.0_1700339148384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_esuriddick_en_5.2.0_3.0_1700339148384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_esuriddick|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/esuriddick/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_fabiodatageek_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_fabiodatageek_en.md
new file mode 100644
index 000000000000..1d21295ea751
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_fabiodatageek_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_fabiodatageek DistilBertForSequenceClassification from FabioDataGeek
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_fabiodatageek
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_fabiodatageek` is a English model originally trained by FabioDataGeek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fabiodatageek_en_5.2.0_3.0_1700350009940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fabiodatageek_en_5.2.0_3.0_1700350009940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_fabiodatageek|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/FabioDataGeek/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_florianehmann_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_florianehmann_en.md
new file mode 100644
index 000000000000..be2f37d7a3e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_florianehmann_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_florianehmann DistilBertForSequenceClassification from florianehmann
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_florianehmann
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_florianehmann` is a English model originally trained by florianehmann.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_florianehmann_en_5.2.0_3.0_1700349079246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_florianehmann_en_5.2.0_3.0_1700349079246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_florianehmann|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/florianehmann/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_hafaa_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_hafaa_en.md
new file mode 100644
index 000000000000..df9152c3ec29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_hafaa_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_hafaa DistilBertForSequenceClassification from Hafaa
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_hafaa
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hafaa` is a English model originally trained by Hafaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hafaa_en_5.2.0_3.0_1700347047032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hafaa_en_5.2.0_3.0_1700347047032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_hafaa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Hafaa/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_hatemnoaman_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_hatemnoaman_en.md
new file mode 100644
index 000000000000..3d9eca3a7120
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_hatemnoaman_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_hatemnoaman DistilBertForSequenceClassification from hatemnoaman
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_hatemnoaman
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hatemnoaman` is a English model originally trained by hatemnoaman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hatemnoaman_en_5.2.0_3.0_1700346454430.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hatemnoaman_en_5.2.0_3.0_1700346454430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_hatemnoaman|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hatemnoaman/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_jpaulhunter_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_jpaulhunter_en.md
new file mode 100644
index 000000000000..5254f211eaa2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_jpaulhunter_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jpaulhunter DistilBertForSequenceClassification from jpaulhunter
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jpaulhunter
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jpaulhunter` is a English model originally trained by jpaulhunter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jpaulhunter_en_5.2.0_3.0_1700343668389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jpaulhunter_en_5.2.0_3.0_1700343668389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jpaulhunter|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jpaulhunter/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_mhf_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_mhf_en.md
new file mode 100644
index 000000000000..3cd27bbadb00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_mhf_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_mhf DistilBertForSequenceClassification from MhF
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_mhf
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mhf` is a English model originally trained by MhF.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mhf_en_5.2.0_3.0_1700349795133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mhf_en_5.2.0_3.0_1700349795133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_mhf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MhF/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_sheldonsides_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_sheldonsides_en.md
new file mode 100644
index 000000000000..30feac287412
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_sheldonsides_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sheldonsides DistilBertForSequenceClassification from SheldonSides
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sheldonsides
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sheldonsides` is a English model originally trained by SheldonSides.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sheldonsides_en_5.2.0_3.0_1700341848566.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sheldonsides_en_5.2.0_3.0_1700341848566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sheldonsides|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SheldonSides/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_tensor_trek_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_tensor_trek_en.md
new file mode 100644
index 000000000000..d39fdf3bb6d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_tensor_trek_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_tensor_trek DistilBertForSequenceClassification from tensor-trek
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_tensor_trek
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tensor_trek` is a English model originally trained by tensor-trek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tensor_trek_en_5.2.0_3.0_1700350616465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tensor_trek_en_5.2.0_3.0_1700350616465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_tensor_trek|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tensor-trek/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_transformersbook_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_transformersbook_en.md
new file mode 100644
index 000000000000..368861699461
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotion_transformersbook_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_transformersbook DistilBertForSequenceClassification from transformersbook
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_transformersbook
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_transformersbook` is a English model originally trained by transformersbook.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_transformersbook_en_5.2.0_3.0_1700339294483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_transformersbook_en_5.2.0_3.0_1700339294483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_transformersbook|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/transformersbook/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotional_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotional_en.md
new file mode 100644
index 000000000000..745dc6430224
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotional_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotional DistilBertForSequenceClassification from TieIncred
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotional
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotional` is a English model originally trained by TieIncred.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotional_en_5.2.0_3.0_1700348509921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotional_en_5.2.0_3.0_1700348509921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotional|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TieIncred/distilbert-base-uncased-finetuned-emotional
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotions_ysharma_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotions_ysharma_en.md
new file mode 100644
index 000000000000..a96b33c8b7cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_emotions_ysharma_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotions_ysharma DistilBertForSequenceClassification from ysharma
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotions_ysharma
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotions_ysharma` is a English model originally trained by ysharma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_ysharma_en_5.2.0_3.0_1700346328033.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotions_ysharma_en_5.2.0_3.0_1700346328033.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotions_ysharma|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ysharma/distilbert-base-uncased-finetuned-emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_eoir_privacy_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_eoir_privacy_en.md
new file mode 100644
index 000000000000..2f95c727701c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_eoir_privacy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_eoir_privacy DistilBertForSequenceClassification from pile-of-law
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_eoir_privacy
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_eoir_privacy` is a English model originally trained by pile-of-law.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_eoir_privacy_en_5.2.0_3.0_1700351801285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_eoir_privacy_en_5.2.0_3.0_1700351801285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_eoir_privacy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/pile-of-law/distilbert-base-uncased-finetuned-eoir_privacy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_for_tweet_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_for_tweet_sentiment_en.md
new file mode 100644
index 000000000000..8ce1dad2b545
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_for_tweet_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_for_tweet_sentiment DistilBertForSequenceClassification from caffsean
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_for_tweet_sentiment
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_for_tweet_sentiment` is a English model originally trained by caffsean.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_for_tweet_sentiment_en_5.2.0_3.0_1700344572841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_for_tweet_sentiment_en_5.2.0_3.0_1700344572841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_for_tweet_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/caffsean/distilbert-base-uncased-finetuned-for-tweet-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_gender_classification_padmajabfrl_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_gender_classification_padmajabfrl_en.md
new file mode 100644
index 000000000000..961343a156cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_gender_classification_padmajabfrl_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_gender_classification_padmajabfrl DistilBertForSequenceClassification from padmajabfrl
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_gender_classification_padmajabfrl
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_gender_classification_padmajabfrl` is a English model originally trained by padmajabfrl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_gender_classification_padmajabfrl_en_5.2.0_3.0_1700339960573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_gender_classification_padmajabfrl_en_5.2.0_3.0_1700339960573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_gender_classification_padmajabfrl|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/padmajabfrl/distilbert-base-uncased-finetuned_gender_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_imdb_kurianbenoy_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_imdb_kurianbenoy_en.md
new file mode 100644
index 000000000000..8c59cd9c3536
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_imdb_kurianbenoy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_kurianbenoy DistilBertForSequenceClassification from kurianbenoy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_kurianbenoy
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_kurianbenoy` is a English model originally trained by kurianbenoy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_kurianbenoy_en_5.2.0_3.0_1700346196111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_kurianbenoy_en_5.2.0_3.0_1700346196111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_kurianbenoy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/kurianbenoy/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_massive_intent_detection_english_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_massive_intent_detection_english_en.md
new file mode 100644
index 000000000000..4959840c2be3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_massive_intent_detection_english_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_massive_intent_detection_english DistilBertForSequenceClassification from joaobarroca
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_massive_intent_detection_english
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_massive_intent_detection_english` is a English model originally trained by joaobarroca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_massive_intent_detection_english_en_5.2.0_3.0_1700345304049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_massive_intent_detection_english_en_5.2.0_3.0_1700345304049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_massive_intent_detection_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/joaobarroca/distilbert-base-uncased-finetuned-massive-intent-detection-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_mathqa_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_mathqa_en.md
new file mode 100644
index 000000000000..2b17b27c7764
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_mathqa_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_mathqa DistilBertForSequenceClassification from rootacess
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_mathqa
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mathqa` is a English model originally trained by rootacess.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mathqa_en_5.2.0_3.0_1700348012994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mathqa_en_5.2.0_3.0_1700348012994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_mathqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rootacess/distilbert-base-uncased-finetuned-mathQA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_mnli_samarth_kulkarni_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_mnli_samarth_kulkarni_en.md
new file mode 100644
index 000000000000..1ab6631414f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_mnli_samarth_kulkarni_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_mnli_samarth_kulkarni DistilBertForSequenceClassification from samarth-kulkarni
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_mnli_samarth_kulkarni
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mnli_samarth_kulkarni` is a English model originally trained by samarth-kulkarni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mnli_samarth_kulkarni_en_5.2.0_3.0_1700345565554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mnli_samarth_kulkarni_en_5.2.0_3.0_1700345565554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_mnli_samarth_kulkarni|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/samarth-kulkarni/distilbert-base-uncased-finetuned-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_movie_genre_langfab_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_movie_genre_langfab_en.md
new file mode 100644
index 000000000000..f2177671d4ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_movie_genre_langfab_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_movie_genre_langfab DistilBertForSequenceClassification from langfab
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_movie_genre_langfab
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_movie_genre_langfab` is a English model originally trained by langfab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_movie_genre_langfab_en_5.2.0_3.0_1700346824484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_movie_genre_langfab_en_5.2.0_3.0_1700346824484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_movie_genre_langfab|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/langfab/distilbert-base-uncased-finetuned-movie-genre
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_news_aimesoft_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_news_aimesoft_en.md
new file mode 100644
index 000000000000..279e513375f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_news_aimesoft_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_news_aimesoft DistilBertForSequenceClassification from hnhoangdz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_news_aimesoft
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_news_aimesoft` is a English model originally trained by hnhoangdz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_news_aimesoft_en_5.2.0_3.0_1700344567775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_news_aimesoft_en_5.2.0_3.0_1700344567775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_news_aimesoft|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hnhoangdz/distilbert-base-uncased-finetuned-news-aimesoft
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_non_augmented_binary_emotions_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_non_augmented_binary_emotions_en.md
new file mode 100644
index 000000000000..1fa42ef9e5d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_non_augmented_binary_emotions_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_non_augmented_binary_emotions DistilBertForSequenceClassification from raul-af7
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_non_augmented_binary_emotions
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_non_augmented_binary_emotions` is a English model originally trained by raul-af7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_non_augmented_binary_emotions_en_5.2.0_3.0_1700344877313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_non_augmented_binary_emotions_en_5.2.0_3.0_1700344877313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_non_augmented_binary_emotions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/raul-af7/distilbert-base-uncased-finetuned-non-augmented-binary-emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_objectivity_rotten_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_objectivity_rotten_en.md
new file mode 100644
index 000000000000..d2c94c354a39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_objectivity_rotten_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_objectivity_rotten DistilBertForSequenceClassification from marcosfp
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_objectivity_rotten
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_objectivity_rotten` is a English model originally trained by marcosfp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_objectivity_rotten_en_5.2.0_3.0_1700344930991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_objectivity_rotten_en_5.2.0_3.0_1700344930991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_objectivity_rotten|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/marcosfp/distilbert-base-uncased-finetuned-objectivity-rotten
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_qnli_jensthyregod_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_qnli_jensthyregod_en.md
new file mode 100644
index 000000000000..b8ad8b15fc01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_qnli_jensthyregod_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_qnli_jensthyregod DistilBertForSequenceClassification from JensThyregod
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_qnli_jensthyregod
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_qnli_jensthyregod` is a English model originally trained by JensThyregod.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qnli_jensthyregod_en_5.2.0_3.0_1700349399154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qnli_jensthyregod_en_5.2.0_3.0_1700349399154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_qnli_jensthyregod|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JensThyregod/distilbert-base-uncased-finetuned-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_qqp_0xb1_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_qqp_0xb1_en.md
new file mode 100644
index 000000000000..8a0af9707f63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_qqp_0xb1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_qqp_0xb1 DistilBertForSequenceClassification from 0xb1
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_qqp_0xb1
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_qqp_0xb1` is a English model originally trained by 0xb1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qqp_0xb1_en_5.2.0_3.0_1700345737381.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qqp_0xb1_en_5.2.0_3.0_1700345737381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_qqp_0xb1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/0xb1/distilbert-base-uncased-finetuned-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_quora_insincere_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_quora_insincere_en.md
new file mode 100644
index 000000000000..47c92cb70db0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_quora_insincere_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_quora_insincere DistilBertForSequenceClassification from Asif555355
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_quora_insincere
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_quora_insincere` is a English model originally trained by Asif555355.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_quora_insincere_en_5.2.0_3.0_1700341349208.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_quora_insincere_en_5.2.0_3.0_1700341349208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_quora_insincere|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Asif555355/distilbert-base-uncased-finetuned-quora-insincere
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_radiology_txt_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_radiology_txt_en.md
new file mode 100644
index 000000000000..a7a98c0ae290
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_radiology_txt_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_radiology_txt DistilBertForSequenceClassification from josejames00
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_radiology_txt
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_radiology_txt` is a English model originally trained by josejames00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_radiology_txt_en_5.2.0_3.0_1700351311455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_radiology_txt_en_5.2.0_3.0_1700351311455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_radiology_txt|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/josejames00/distilbert-base-uncased-finetuned-radiology-txt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_requirement_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_requirement_classification_en.md
new file mode 100644
index 000000000000..3dc159ea2e67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_requirement_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_requirement_classification DistilBertForSequenceClassification from dadi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_requirement_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_requirement_classification` is a English model originally trained by dadi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_requirement_classification_en_5.2.0_3.0_1700344104351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_requirement_classification_en_5.2.0_3.0_1700344104351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_requirement_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dadi/distilbert-base-uncased-finetuned-requirement-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_requirement_classification_isoko_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_requirement_classification_isoko_en.md
new file mode 100644
index 000000000000..64281bf23b35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_requirement_classification_isoko_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_requirement_classification_isoko DistilBertForSequenceClassification from dadi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_requirement_classification_isoko
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_requirement_classification_isoko` is a English model originally trained by dadi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_requirement_classification_isoko_en_5.2.0_3.0_1700346883685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_requirement_classification_isoko_en_5.2.0_3.0_1700346883685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_requirement_classification_isoko|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dadi/distilbert-base-uncased-finetuned-requirement-classification-iso
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_rte_anirudh21_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_rte_anirudh21_en.md
new file mode 100644
index 000000000000..e25a1b522a46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_rte_anirudh21_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_rte_anirudh21 DistilBertForSequenceClassification from anirudh21
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_rte_anirudh21
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_rte_anirudh21` is a English model originally trained by anirudh21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_rte_anirudh21_en_5.2.0_3.0_1700348142986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_rte_anirudh21_en_5.2.0_3.0_1700348142986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_rte_anirudh21|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anirudh21/distilbert-base-uncased-finetuned-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sentiment_amazon_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sentiment_amazon_en.md
new file mode 100644
index 000000000000..13358d5ab389
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sentiment_amazon_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sentiment_amazon DistilBertForSequenceClassification from AdamCodd
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sentiment_amazon
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sentiment_amazon` is a English model originally trained by AdamCodd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sentiment_amazon_en_5.2.0_3.0_1700338170740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sentiment_amazon_en_5.2.0_3.0_1700338170740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sentiment_amazon|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AdamCodd/distilbert-base-uncased-finetuned-sentiment-amazon
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sms_spam_detection_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sms_spam_detection_en.md
new file mode 100644
index 000000000000..39b178038302
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sms_spam_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sms_spam_detection DistilBertForSequenceClassification from mariagrandury
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sms_spam_detection
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sms_spam_detection` is a English model originally trained by mariagrandury.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sms_spam_detection_en_5.2.0_3.0_1700342329102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sms_spam_detection_en_5.2.0_3.0_1700342329102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sms_spam_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/mariagrandury/distilbert-base-uncased-finetuned-sms-spam-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sst2_akash7897_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sst2_akash7897_en.md
new file mode 100644
index 000000000000..c084fbea978b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sst2_akash7897_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst2_akash7897 DistilBertForSequenceClassification from Akash7897
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst2_akash7897
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_akash7897` is a English model originally trained by Akash7897.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_akash7897_en_5.2.0_3.0_1700349816251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_akash7897_en_5.2.0_3.0_1700349816251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst2_akash7897|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Akash7897/distilbert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sst2_portuguese_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sst2_portuguese_en.md
new file mode 100644
index 000000000000..25cc28dce418
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sst2_portuguese_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst2_portuguese DistilBertForSequenceClassification from rwang5688
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst2_portuguese
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_portuguese` is a English model originally trained by rwang5688.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_portuguese_en_5.2.0_3.0_1700347654043.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_portuguese_en_5.2.0_3.0_1700347654043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst2_portuguese|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rwang5688/distilbert-base-uncased-finetuned-sst2-pt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sst_2_english_zero_shot_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sst_2_english_zero_shot_sentiment_model_en.md
new file mode 100644
index 000000000000..56b5e228d1be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_sst_2_english_zero_shot_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst_2_english_zero_shot_sentiment_model DistilBertForSequenceClassification from okho0653
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst_2_english_zero_shot_sentiment_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_zero_shot_sentiment_model` is a English model originally trained by okho0653.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_zero_shot_sentiment_model_en_5.2.0_3.0_1700345417369.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_zero_shot_sentiment_model_en_5.2.0_3.0_1700345417369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_zero_shot_sentiment_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/okho0653/distilbert-base-uncased-finetuned-sst-2-english-zero-shot-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_topic_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_topic_model_en.md
new file mode 100644
index 000000000000..2936935f40db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_topic_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_topic_model DistilBertForSequenceClassification from nebo333
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_topic_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_topic_model` is a English model originally trained by nebo333.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_topic_model_en_5.2.0_3.0_1700345902899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_topic_model_en_5.2.0_3.0_1700345902899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_topic_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nebo333/distilbert-base-uncased-finetuned-topic-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_tweets_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_tweets_sentiment_en.md
new file mode 100644
index 000000000000..094f14ca5b17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_tweets_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_tweets_sentiment DistilBertForSequenceClassification from austinmw
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_tweets_sentiment
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_tweets_sentiment` is a English model originally trained by austinmw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tweets_sentiment_en_5.2.0_3.0_1700343337776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tweets_sentiment_en_5.2.0_3.0_1700343337776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_tweets_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/austinmw/distilbert-base-uncased-finetuned-tweets-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_with_spanish_tweets_clf_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_with_spanish_tweets_clf_en.md
new file mode 100644
index 000000000000..46a098c6551d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_with_spanish_tweets_clf_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_with_spanish_tweets_clf DistilBertForSequenceClassification from francisco-perez-sorrosal
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_with_spanish_tweets_clf
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_with_spanish_tweets_clf` is a English model originally trained by francisco-perez-sorrosal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_with_spanish_tweets_clf_en_5.2.0_3.0_1700349396167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_with_spanish_tweets_clf_en_5.2.0_3.0_1700349396167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_with_spanish_tweets_clf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/francisco-perez-sorrosal/distilbert-base-uncased-finetuned-with-spanish-tweets-clf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_yelp_reviews_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_yelp_reviews_en.md
new file mode 100644
index 000000000000..4b0e9bfa4f17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_finetuned_yelp_reviews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_yelp_reviews DistilBertForSequenceClassification from Ramamurthi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_yelp_reviews
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_yelp_reviews` is a English model originally trained by Ramamurthi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_yelp_reviews_en_5.2.0_3.0_1700340240093.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_yelp_reviews_en_5.2.0_3.0_1700340240093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_yelp_reviews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Ramamurthi/distilbert-base-uncased-finetuned-yelp-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_fintuned_emotion_maitake0115_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_fintuned_emotion_maitake0115_en.md
new file mode 100644
index 000000000000..8c348766adeb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_fintuned_emotion_maitake0115_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_fintuned_emotion_maitake0115 DistilBertForSequenceClassification from maitake0115
+author: John Snow Labs
+name: distilbert_base_uncased_fintuned_emotion_maitake0115
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fintuned_emotion_maitake0115` is a English model originally trained by maitake0115.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fintuned_emotion_maitake0115_en_5.2.0_3.0_1700348327277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fintuned_emotion_maitake0115_en_5.2.0_3.0_1700348327277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fintuned_emotion_maitake0115|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/maitake0115/distilbert-base-uncased-fintuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_helpful_amazon_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_helpful_amazon_en.md
new file mode 100644
index 000000000000..7f03a3724e15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_helpful_amazon_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_helpful_amazon DistilBertForSequenceClassification from banjtheman
+author: John Snow Labs
+name: distilbert_base_uncased_helpful_amazon
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_helpful_amazon` is a English model originally trained by banjtheman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_helpful_amazon_en_5.2.0_3.0_1700344692065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_helpful_amazon_en_5.2.0_3.0_1700344692065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_helpful_amazon|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/banjtheman/distilbert-base-uncased-helpful-amazon
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_high_risk_tickets_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_high_risk_tickets_en.md
new file mode 100644
index 000000000000..c94dff6913c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_high_risk_tickets_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_high_risk_tickets DistilBertForSequenceClassification from MFrazz
+author: John Snow Labs
+name: distilbert_base_uncased_high_risk_tickets
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_high_risk_tickets` is a English model originally trained by MFrazz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_high_risk_tickets_en_5.2.0_3.0_1700338771131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_high_risk_tickets_en_5.2.0_3.0_1700338771131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_high_risk_tickets|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/MFrazz/distilbert-base-uncased-High-Risk-Tickets
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_imdb_textattack_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_imdb_textattack_en.md
new file mode 100644
index 000000000000..9b7c8b8bc0f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_imdb_textattack_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_imdb_textattack DistilBertForSequenceClassification from textattack
+author: John Snow Labs
+name: distilbert_base_uncased_imdb_textattack
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_imdb_textattack` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_textattack_en_5.2.0_3.0_1700338874981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_textattack_en_5.2.0_3.0_1700338874981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_imdb_textattack|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/textattack/distilbert-base-uncased-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_kaggle_readability_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_kaggle_readability_en.md
new file mode 100644
index 000000000000..c8f74912c2cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_kaggle_readability_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_kaggle_readability DistilBertForSequenceClassification from Tymoteusz
+author: John Snow Labs
+name: distilbert_base_uncased_kaggle_readability
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_kaggle_readability` is a English model originally trained by Tymoteusz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kaggle_readability_en_5.2.0_3.0_1700348958626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_kaggle_readability_en_5.2.0_3.0_1700348958626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_kaggle_readability|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Tymoteusz/distilbert-base-uncased-kaggle-readability
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_md_gender_bias_saved_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_md_gender_bias_saved_en.md
new file mode 100644
index 000000000000..7da600180874
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_md_gender_bias_saved_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_md_gender_bias_saved DistilBertForSequenceClassification from thaile
+author: John Snow Labs
+name: distilbert_base_uncased_md_gender_bias_saved
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_md_gender_bias_saved` is a English model originally trained by thaile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_md_gender_bias_saved_en_5.2.0_3.0_1700347961075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_md_gender_bias_saved_en_5.2.0_3.0_1700347961075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_md_gender_bias_saved|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/thaile/distilbert-base-uncased-md_gender_bias-saved
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_mnli_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_mnli_en.md
new file mode 100644
index 000000000000..3011a8d4e1cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_mnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_mnli DistilBertForSequenceClassification from ishan
+author: John Snow Labs
+name: distilbert_base_uncased_mnli
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_mnli` is a English model originally trained by ishan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mnli_en_5.2.0_3.0_1700342815352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mnli_en_5.2.0_3.0_1700342815352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_mnli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ishan/distilbert-base-uncased-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_mrpc_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_mrpc_en.md
new file mode 100644
index 000000000000..6c29c1772310
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_mrpc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_mrpc DistilBertForSequenceClassification from textattack
+author: John Snow Labs
+name: distilbert_base_uncased_mrpc
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_mrpc` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mrpc_en_5.2.0_3.0_1700339623978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mrpc_en_5.2.0_3.0_1700339623978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_mrpc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/textattack/distilbert-base-uncased-MRPC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_news_trained_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_news_trained_en.md
new file mode 100644
index 000000000000..e91f1b701cac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_news_trained_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_news_trained DistilBertForSequenceClassification from bfriederich
+author: John Snow Labs
+name: distilbert_base_uncased_news_trained
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_news_trained` is a English model originally trained by bfriederich.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_news_trained_en_5.2.0_3.0_1700350304680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_news_trained_en_5.2.0_3.0_1700350304680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_news_trained|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bfriederich/distilbert-base-uncased-news-trained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_nonsense_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_nonsense_en.md
new file mode 100644
index 000000000000..bd5cee762392
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_nonsense_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_nonsense DistilBertForSequenceClassification from hubtype
+author: John Snow Labs
+name: distilbert_base_uncased_nonsense
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_nonsense` is a English model originally trained by hubtype.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_nonsense_en_5.2.0_3.0_1700338436341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_nonsense_en_5.2.0_3.0_1700338436341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_nonsense|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/hubtype/distilbert-base-uncased-nonsense
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_qqp_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_qqp_en.md
new file mode 100644
index 000000000000..a01cc9fa064d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_qqp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_qqp DistilBertForSequenceClassification from assemblyai
+author: John Snow Labs
+name: distilbert_base_uncased_qqp
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_qqp` is a English model originally trained by assemblyai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qqp_en_5.2.0_3.0_1700342655579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qqp_en_5.2.0_3.0_1700342655579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_qqp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/assemblyai/distilbert-base-uncased-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_rotten_tomatoes_textattack_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_rotten_tomatoes_textattack_en.md
new file mode 100644
index 000000000000..1e8eb412079a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_rotten_tomatoes_textattack_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_rotten_tomatoes_textattack DistilBertForSequenceClassification from textattack
+author: John Snow Labs
+name: distilbert_base_uncased_rotten_tomatoes_textattack
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_rotten_tomatoes_textattack` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_rotten_tomatoes_textattack_en_5.2.0_3.0_1700341198394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_rotten_tomatoes_textattack_en_5.2.0_3.0_1700341198394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_rotten_tomatoes_textattack|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/textattack/distilbert-base-uncased-rotten-tomatoes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_analysis_movie_reviews_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_analysis_movie_reviews_en.md
new file mode 100644
index 000000000000..2a01b4098d7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_analysis_movie_reviews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_sentiment_analysis_movie_reviews DistilBertForSequenceClassification from DataMonke
+author: John Snow Labs
+name: distilbert_base_uncased_sentiment_analysis_movie_reviews
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sentiment_analysis_movie_reviews` is a English model originally trained by DataMonke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sentiment_analysis_movie_reviews_en_5.2.0_3.0_1700340576095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sentiment_analysis_movie_reviews_en_5.2.0_3.0_1700340576095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_sentiment_analysis_movie_reviews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DataMonke/distilbert-base-uncased-sentiment-analysis-movie-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_finetuned_memes_20epoch_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_finetuned_memes_20epoch_en.md
new file mode 100644
index 000000000000..35392ed83235
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_finetuned_memes_20epoch_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_sentiment_finetuned_memes_20epoch DistilBertForSequenceClassification from jayanta
+author: John Snow Labs
+name: distilbert_base_uncased_sentiment_finetuned_memes_20epoch
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sentiment_finetuned_memes_20epoch` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sentiment_finetuned_memes_20epoch_en_5.2.0_3.0_1700344795052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sentiment_finetuned_memes_20epoch_en_5.2.0_3.0_1700344795052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_sentiment_finetuned_memes_20epoch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jayanta/distilbert-base-uncased-sentiment-finetuned-memes-20epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_finetuned_memes_30epochs_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_finetuned_memes_30epochs_en.md
new file mode 100644
index 000000000000..898822d7ddf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_finetuned_memes_30epochs_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_sentiment_finetuned_memes_30epochs DistilBertForSequenceClassification from jayanta
+author: John Snow Labs
+name: distilbert_base_uncased_sentiment_finetuned_memes_30epochs
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sentiment_finetuned_memes_30epochs` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sentiment_finetuned_memes_30epochs_en_5.2.0_3.0_1700344320371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sentiment_finetuned_memes_30epochs_en_5.2.0_3.0_1700344320371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_sentiment_finetuned_memes_30epochs|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jayanta/distilbert-base-uncased-sentiment-finetuned-memes-30epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_finetuned_memes_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_finetuned_memes_en.md
new file mode 100644
index 000000000000..707d0d1b882d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_finetuned_memes_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_sentiment_finetuned_memes DistilBertForSequenceClassification from jayanta
+author: John Snow Labs
+name: distilbert_base_uncased_sentiment_finetuned_memes
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sentiment_finetuned_memes` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sentiment_finetuned_memes_en_5.2.0_3.0_1700346440791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sentiment_finetuned_memes_en_5.2.0_3.0_1700346440791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_sentiment_finetuned_memes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jayanta/distilbert-base-uncased-sentiment-finetuned-memes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_reddit_crypto_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_reddit_crypto_en.md
new file mode 100644
index 000000000000..34ced51a15d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sentiment_reddit_crypto_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_sentiment_reddit_crypto DistilBertForSequenceClassification from mwkby
+author: John Snow Labs
+name: distilbert_base_uncased_sentiment_reddit_crypto
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sentiment_reddit_crypto` is a English model originally trained by mwkby.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sentiment_reddit_crypto_en_5.2.0_3.0_1700340121929.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sentiment_reddit_crypto_en_5.2.0_3.0_1700340121929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_sentiment_reddit_crypto|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/mwkby/distilbert-base-uncased-sentiment-reddit-crypto
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sst2_assemblyai_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sst2_assemblyai_en.md
new file mode 100644
index 000000000000..e70b2ea62db9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sst2_assemblyai_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_sst2_assemblyai DistilBertForSequenceClassification from assemblyai
+author: John Snow Labs
+name: distilbert_base_uncased_sst2_assemblyai
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sst2_assemblyai` is a English model originally trained by assemblyai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sst2_assemblyai_en_5.2.0_3.0_1700340928344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sst2_assemblyai_en_5.2.0_3.0_1700340928344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_sst2_assemblyai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/assemblyai/distilbert-base-uncased-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sst_2_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sst_2_en.md
new file mode 100644
index 000000000000..712ee5c51c3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_sst_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_sst_2 DistilBertForSequenceClassification from textattack
+author: John Snow Labs
+name: distilbert_base_uncased_sst_2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sst_2` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sst_2_en_5.2.0_3.0_1700343168943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sst_2_en_5.2.0_3.0_1700343168943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_sst_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/textattack/distilbert-base-uncased-SST-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_tweet_about_disaster_or_not_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_tweet_about_disaster_or_not_en.md
new file mode 100644
index 000000000000..92575c008cdb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_tweet_about_disaster_or_not_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_tweet_about_disaster_or_not DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_tweet_about_disaster_or_not
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_tweet_about_disaster_or_not` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tweet_about_disaster_or_not_en_5.2.0_3.0_1700344855565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tweet_about_disaster_or_not_en_5.2.0_3.0_1700344855565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_tweet_about_disaster_or_not|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-Tweet_About_Disaster_Or_Not
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_zero_shot_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_zero_shot_sentiment_model_en.md
new file mode 100644
index 000000000000..b9ecbc938fc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncased_zero_shot_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_zero_shot_sentiment_model DistilBertForSequenceClassification from okho0653
+author: John Snow Labs
+name: distilbert_base_uncased_zero_shot_sentiment_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_zero_shot_sentiment_model` is a English model originally trained by okho0653.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_zero_shot_sentiment_model_en_5.2.0_3.0_1700339285482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_zero_shot_sentiment_model_en_5.2.0_3.0_1700339285482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_zero_shot_sentiment_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/okho0653/distilbert-base-uncased-zero-shot-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncasedv1_finetuned_twitter_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncasedv1_finetuned_twitter_sentiment_en.md
new file mode 100644
index 000000000000..62593b2d5de0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_base_uncasedv1_finetuned_twitter_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncasedv1_finetuned_twitter_sentiment DistilBertForSequenceClassification from macildur
+author: John Snow Labs
+name: distilbert_base_uncasedv1_finetuned_twitter_sentiment
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncasedv1_finetuned_twitter_sentiment` is a English model originally trained by macildur.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncasedv1_finetuned_twitter_sentiment_en_5.2.0_3.0_1700342623481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncasedv1_finetuned_twitter_sentiment_en_5.2.0_3.0_1700342623481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncasedv1_finetuned_twitter_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/macildur/distilbert-base-uncasedv1-finetuned-twitter-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_bbc_news_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_bbc_news_classification_en.md
new file mode 100644
index 000000000000..8df46a6b900f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_bbc_news_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_bbc_news_classification DistilBertForSequenceClassification from Umesh
+author: John Snow Labs
+name: distilbert_bbc_news_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_bbc_news_classification` is a English model originally trained by Umesh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_bbc_news_classification_en_5.2.0_3.0_1700351311648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_bbc_news_classification_en_5.2.0_3.0_1700351311648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_bbc_news_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Umesh/distilbert-bbc-news-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_cased_antisemitic_tweets_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_cased_antisemitic_tweets_en.md
new file mode 100644
index 000000000000..a6d08d11cbe9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_cased_antisemitic_tweets_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_cased_antisemitic_tweets DistilBertForSequenceClassification from astarostap
+author: John Snow Labs
+name: distilbert_cased_antisemitic_tweets
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_cased_antisemitic_tweets` is a English model originally trained by astarostap.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_cased_antisemitic_tweets_en_5.2.0_3.0_1700343928975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_cased_antisemitic_tweets_en_5.2.0_3.0_1700343928975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_cased_antisemitic_tweets|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/astarostap/distilbert-cased-antisemitic-tweets
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_class_heaps_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_class_heaps_en.md
new file mode 100644
index 000000000000..0e9e5ae83aa2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_class_heaps_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_class_heaps DistilBertForSequenceClassification from johannes-garstenauer
+author: John Snow Labs
+name: distilbert_class_heaps
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_class_heaps` is a English model originally trained by johannes-garstenauer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_class_heaps_en_5.2.0_3.0_1700347465541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_class_heaps_en_5.2.0_3.0_1700347465541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_cloths_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ongaunjie/distilbert-cloths-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_complaints_product_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_complaints_product_en.md
new file mode 100644
index 000000000000..5160440060a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_complaints_product_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_complaints_product DistilBertForSequenceClassification from Kayvane
+author: John Snow Labs
+name: distilbert_complaints_product
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_complaints_product` is a English model originally trained by Kayvane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_complaints_product_en_5.2.0_3.0_1700342632296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_complaints_product_en_5.2.0_3.0_1700342632296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_complaints_product|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kayvane/distilbert-complaints-product
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_customer_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_customer_classifier_en.md
new file mode 100644
index 000000000000..62f683839f15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_customer_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_customer_classifier DistilBertForSequenceClassification from OllieStanley
+author: John Snow Labs
+name: distilbert_customer_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_customer_classifier` is a English model originally trained by OllieStanley.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_customer_classifier_en_5.2.0_3.0_1700343531524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_customer_classifier_en_5.2.0_3.0_1700343531524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_customer_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/OllieStanley/distilbert-customer-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_dummy_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_dummy_sentiment_en.md
new file mode 100644
index 000000000000..1753d7943b53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_dummy_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_dummy_sentiment DistilBertForSequenceClassification from dhpollack
+author: John Snow Labs
+name: distilbert_dummy_sentiment
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_dummy_sentiment` is a English model originally trained by dhpollack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_dummy_sentiment_en_5.2.0_3.0_1700342223587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_dummy_sentiment_en_5.2.0_3.0_1700342223587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_dummy_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|15.6 KB|
+
+## References
+
+https://huggingface.co/dhpollack/distilbert-dummy-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_emotion_richardchai_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_emotion_richardchai_en.md
new file mode 100644
index 000000000000..8be6f29e2b36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_emotion_richardchai_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_emotion_richardchai DistilBertForSequenceClassification from richardchai
+author: John Snow Labs
+name: distilbert_emotion_richardchai
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_richardchai` is a English model originally trained by richardchai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_richardchai_en_5.2.0_3.0_1700338643039.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_richardchai_en_5.2.0_3.0_1700338643039.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_richardchai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/richardchai/distilbert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_emotion_tirendaz_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_emotion_tirendaz_en.md
new file mode 100644
index 000000000000..8611ca558781
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_emotion_tirendaz_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_emotion_tirendaz DistilBertForSequenceClassification from Tirendaz
+author: John Snow Labs
+name: distilbert_emotion_tirendaz
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_tirendaz` is a English model originally trained by Tirendaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_tirendaz_en_5.2.0_3.0_1700347194048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_tirendaz_en_5.2.0_3.0_1700347194048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_tirendaz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tirendaz/distilbert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_feature_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_feature_classifier_en.md
new file mode 100644
index 000000000000..c05e031b69f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_feature_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_feature_classifier DistilBertForSequenceClassification from Peterard
+author: John Snow Labs
+name: distilbert_feature_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_feature_classifier` is a English model originally trained by Peterard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_feature_classifier_en_5.2.0_3.0_1700348145438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_feature_classifier_en_5.2.0_3.0_1700348145438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_feature_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.4 MB|
+
+## References
+
+https://huggingface.co/Peterard/distilbert_feature_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_ag_news_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_ag_news_en.md
new file mode 100644
index 000000000000..49d36dd854d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_ag_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finetuned_ag_news DistilBertForSequenceClassification from MuntasirHossain
+author: John Snow Labs
+name: distilbert_finetuned_ag_news
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_ag_news` is a English model originally trained by MuntasirHossain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ag_news_en_5.2.0_3.0_1700340530318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ag_news_en_5.2.0_3.0_1700340530318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_ag_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MuntasirHossain/distilbert-finetuned-ag-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_headings_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_headings_en.md
new file mode 100644
index 000000000000..beb8734dc6b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_headings_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finetuned_headings DistilBertForSequenceClassification from OrbitalWitness
+author: John Snow Labs
+name: distilbert_finetuned_headings
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_headings` is a English model originally trained by OrbitalWitness.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_headings_en_5.2.0_3.0_1700338328657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_headings_en_5.2.0_3.0_1700338328657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_headings|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/OrbitalWitness/distilbert-finetuned-headings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_headings_v2_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_headings_v2_en.md
new file mode 100644
index 000000000000..3c36a998984f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_headings_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finetuned_headings_v2 DistilBertForSequenceClassification from OrbitalWitness
+author: John Snow Labs
+name: distilbert_finetuned_headings_v2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_headings_v2` is a English model originally trained by OrbitalWitness.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_headings_v2_en_5.2.0_3.0_1700339633727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_headings_v2_en_5.2.0_3.0_1700339633727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_headings_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/OrbitalWitness/distilbert-finetuned-headings-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_spanish_offensive_language_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_spanish_offensive_language_en.md
new file mode 100644
index 000000000000..8b7061c8870c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_finetuned_spanish_offensive_language_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finetuned_spanish_offensive_language DistilBertForSequenceClassification from Brandon-h
+author: John Snow Labs
+name: distilbert_finetuned_spanish_offensive_language
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_spanish_offensive_language` is a English model originally trained by Brandon-h.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_spanish_offensive_language_en_5.2.0_3.0_1700342815355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_spanish_offensive_language_en_5.2.0_3.0_1700342815355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_spanish_offensive_language|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.4 MB|
+
+## References
+
+https://huggingface.co/Brandon-h/distilbert-finetuned-spanish-offensive-language
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_german_text_complexity_de.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_german_text_complexity_de.md
new file mode 100644
index 000000000000..57650905b64f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_german_text_complexity_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German distilbert_german_text_complexity DistilBertForSequenceClassification from MiriUll
+author: John Snow Labs
+name: distilbert_german_text_complexity
+date: 2023-11-18
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_german_text_complexity` is a German model originally trained by MiriUll.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_german_text_complexity_de_5.2.0_3.0_1700350267511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_german_text_complexity_de_5.2.0_3.0_1700350267511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_german_text_complexity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|252.5 MB|
+
+## References
+
+https://huggingface.co/MiriUll/distilbert-german-text-complexity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_go_emotions_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_go_emotions_en.md
new file mode 100644
index 000000000000..6ac5e6a45c0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_go_emotions_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_go_emotions DistilBertForSequenceClassification from tasinhoque
+author: John Snow Labs
+name: distilbert_go_emotions
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_go_emotions` is a English model originally trained by tasinhoque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_go_emotions_en_5.2.0_3.0_1700341675703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_go_emotions_en_5.2.0_3.0_1700341675703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_go_emotions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tasinhoque/distilbert-go-emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_goodreads_wandb_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_goodreads_wandb_en.md
new file mode 100644
index 000000000000..a5ba1aabb0d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_goodreads_wandb_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_goodreads_wandb DistilBertForSequenceClassification from dhmeltzer
+author: John Snow Labs
+name: distilbert_goodreads_wandb
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_goodreads_wandb` is a English model originally trained by dhmeltzer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_goodreads_wandb_en_5.2.0_3.0_1700350113152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_goodreads_wandb_en_5.2.0_3.0_1700350113152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_goodreads_wandb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dhmeltzer/distilbert-goodreads-wandb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_helpdesk_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_helpdesk_sentiment_en.md
new file mode 100644
index 000000000000..462b02b4cdae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_helpdesk_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_helpdesk_sentiment DistilBertForSequenceClassification from Venkatesh4342
+author: John Snow Labs
+name: distilbert_helpdesk_sentiment
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_helpdesk_sentiment` is a English model originally trained by Venkatesh4342.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_helpdesk_sentiment_en_5.2.0_3.0_1700338019614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_helpdesk_sentiment_en_5.2.0_3.0_1700338019614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_helpdesk_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Venkatesh4342/distilbert-helpdesk-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_imdb_dhlee347_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_imdb_dhlee347_en.md
new file mode 100644
index 000000000000..3bc554accc71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_imdb_dhlee347_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_imdb_dhlee347 DistilBertForSequenceClassification from dhlee347
+author: John Snow Labs
+name: distilbert_imdb_dhlee347
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_dhlee347` is a English model originally trained by dhlee347.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_dhlee347_en_5.2.0_3.0_1700348152689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_dhlee347_en_5.2.0_3.0_1700348152689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_dhlee347|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/dhlee347/distilbert-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_imdb_lvwerra_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_imdb_lvwerra_en.md
new file mode 100644
index 000000000000..0d606fd6f79a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_imdb_lvwerra_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_imdb_lvwerra DistilBertForSequenceClassification from lvwerra
+author: John Snow Labs
+name: distilbert_imdb_lvwerra
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_lvwerra` is a English model originally trained by lvwerra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_lvwerra_en_5.2.0_3.0_1700337444546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_lvwerra_en_5.2.0_3.0_1700337444546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_lvwerra|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/lvwerra/distilbert-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_jobcategory_410k_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_jobcategory_410k_en.md
new file mode 100644
index 000000000000..17debbd3dfb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_jobcategory_410k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_jobcategory_410k DistilBertForSequenceClassification from serbog
+author: John Snow Labs
+name: distilbert_jobcategory_410k
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_jobcategory_410k` is a English model originally trained by serbog.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_jobcategory_410k_en_5.2.0_3.0_1700345934763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_jobcategory_410k_en_5.2.0_3.0_1700345934763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_jobcategory_410k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/serbog/distilbert-jobCategory_410k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_large_sms_spam_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_large_sms_spam_en.md
new file mode 100644
index 000000000000..7a20a15c3dba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_large_sms_spam_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_large_sms_spam DistilBertForSequenceClassification from sureshs
+author: John Snow Labs
+name: distilbert_large_sms_spam
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_large_sms_spam` is a English model originally trained by sureshs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_large_sms_spam_en_5.2.0_3.0_1700346319231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_large_sms_spam_en_5.2.0_3.0_1700346319231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_large_sms_spam|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sureshs/distilbert-large-sms-spam
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_lazylearner_hatespeech_detection_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_lazylearner_hatespeech_detection_en.md
new file mode 100644
index 000000000000..48e833302738
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_lazylearner_hatespeech_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_lazylearner_hatespeech_detection DistilBertForSequenceClassification from Sakil
+author: John Snow Labs
+name: distilbert_lazylearner_hatespeech_detection
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_lazylearner_hatespeech_detection` is a English model originally trained by Sakil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_lazylearner_hatespeech_detection_en_5.2.0_3.0_1700342988449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_lazylearner_hatespeech_detection_en_5.2.0_3.0_1700342988449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_lazylearner_hatespeech_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Sakil/distilbert_lazylearner_hatespeech_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_mrpc_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_mrpc_en.md
new file mode 100644
index 000000000000..26b7f523f58a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_mrpc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_mrpc DistilBertForSequenceClassification from mattchurgin
+author: John Snow Labs
+name: distilbert_mrpc
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_mrpc` is a English model originally trained by mattchurgin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_mrpc_en_5.2.0_3.0_1700343954281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_mrpc_en_5.2.0_3.0_1700343954281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_multilingual_uncased_oct_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/SmilestheSad/distilbert-multilingual-uncased-oct-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_negation_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_negation_en.md
new file mode 100644
index 000000000000..b0c1c131f9a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_negation_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_negation DistilBertForSequenceClassification from chitra
+author: John Snow Labs
+name: distilbert_negation
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_negation` is a English model originally trained by chitra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_negation_en_5.2.0_3.0_1700340105410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_negation_en_5.2.0_3.0_1700340105410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_negation|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chitra/distilbert-negation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_organization_matching_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_organization_matching_en.md
new file mode 100644
index 000000000000..5a25d53c2b8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_organization_matching_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_organization_matching DistilBertForSequenceClassification from thedavidhackett
+author: John Snow Labs
+name: distilbert_organization_matching
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_organization_matching` is a English model originally trained by thedavidhackett.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_organization_matching_en_5.2.0_3.0_1700348902720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_organization_matching_en_5.2.0_3.0_1700348902720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_organization_matching|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thedavidhackett/distilbert-organization-matching
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_pizza_intent_sachin19566_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_pizza_intent_sachin19566_en.md
new file mode 100644
index 000000000000..b286cc2ff26e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_pizza_intent_sachin19566_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_pizza_intent_sachin19566 DistilBertForSequenceClassification from sachin19566
+author: John Snow Labs
+name: distilbert_pizza_intent_sachin19566
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_pizza_intent_sachin19566` is a English model originally trained by sachin19566.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_pizza_intent_sachin19566_en_5.2.0_3.0_1700342460084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_pizza_intent_sachin19566_en_5.2.0_3.0_1700342460084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_pizza_intent_sachin19566|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sachin19566/distilbert_Pizza_Intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_plutchik_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_plutchik_en.md
new file mode 100644
index 000000000000..5fd82a331033
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_plutchik_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_plutchik DistilBertForSequenceClassification from JuliusAlphonso
+author: John Snow Labs
+name: distilbert_plutchik
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_plutchik` is a English model originally trained by JuliusAlphonso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_plutchik_en_5.2.0_3.0_1700338499076.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_plutchik_en_5.2.0_3.0_1700338499076.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_plutchik|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/JuliusAlphonso/distilbert-plutchik
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_prompt_injection_fmops_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_prompt_injection_fmops_en.md
new file mode 100644
index 000000000000..248c92819ba0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_prompt_injection_fmops_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_prompt_injection_fmops DistilBertForSequenceClassification from fmops
+author: John Snow Labs
+name: distilbert_prompt_injection_fmops
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_prompt_injection_fmops` is a English model originally trained by fmops.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_prompt_injection_fmops_en_5.2.0_3.0_1700337599573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_prompt_injection_fmops_en_5.2.0_3.0_1700337599573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_prompt_injection_fmops|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/fmops/distilbert-prompt-injection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_resume_parts_classify_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_resume_parts_classify_en.md
new file mode 100644
index 000000000000..ad14ea252af0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_resume_parts_classify_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_resume_parts_classify DistilBertForSequenceClassification from manishiitg
+author: John Snow Labs
+name: distilbert_resume_parts_classify
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_resume_parts_classify` is a English model originally trained by manishiitg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_resume_parts_classify_en_5.2.0_3.0_1700338628267.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_resume_parts_classify_en_5.2.0_3.0_1700338628267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_resume_parts_classify|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/manishiitg/distilbert-resume-parts-classify
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_reviews_with_language_drift_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_reviews_with_language_drift_en.md
new file mode 100644
index 000000000000..c3e9503d76a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_reviews_with_language_drift_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_reviews_with_language_drift DistilBertForSequenceClassification from arize-ai
+author: John Snow Labs
+name: distilbert_reviews_with_language_drift
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_reviews_with_language_drift` is a English model originally trained by arize-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_reviews_with_language_drift_en_5.2.0_3.0_1700344570501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_reviews_with_language_drift_en_5.2.0_3.0_1700344570501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_reviews_with_language_drift|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/arize-ai/distilbert_reviews_with_language_drift
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_scp_class_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_scp_class_classification_en.md
new file mode 100644
index 000000000000..07f51580cf17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_scp_class_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_scp_class_classification DistilBertForSequenceClassification from Azaghast
+author: John Snow Labs
+name: distilbert_scp_class_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_scp_class_classification` is a English model originally trained by Azaghast.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_scp_class_classification_en_5.2.0_3.0_1700349679198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_scp_class_classification_en_5.2.0_3.0_1700349679198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_scp_class_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Azaghast/DistilBERT-SCP-Class-Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_sentico_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sentico_finetuned_emotion_en.md
new file mode 100644
index 000000000000..10663a6b4514
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sentico_finetuned_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_sentico_finetuned_emotion DistilBertForSequenceClassification from RaeesTahir
+author: John Snow Labs
+name: distilbert_sentico_finetuned_emotion
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentico_finetuned_emotion` is a English model originally trained by RaeesTahir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentico_finetuned_emotion_en_5.2.0_3.0_1700339119737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentico_finetuned_emotion_en_5.2.0_3.0_1700339119737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sentico_finetuned_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RaeesTahir/DistilBERT-Sentico-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sentiment_en.md
new file mode 100644
index 000000000000..709c7ec8c66b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_sentiment DistilBertForSequenceClassification from AbeerAlbashiti
+author: John Snow Labs
+name: distilbert_sentiment
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentiment` is a English model originally trained by AbeerAlbashiti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_en_5.2.0_3.0_1700350805412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_en_5.2.0_3.0_1700350805412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sequence_classifier_arxiv_topics_distilbert_base_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|246.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|128|
+
+## References
+
+References
+
+- https://huggingface.co/Wi/arxiv-topics-distilbert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_autonlp_doctor_de_24595544_de.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_autonlp_doctor_de_24595544_de.md
new file mode 100644
index 000000000000..ec418a829057
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_autonlp_doctor_de_24595544_de.md
@@ -0,0 +1,99 @@
+---
+layout: model
+title: German distilbert_sequence_classifier_autonlp_doctor_de_24595544 DistilBertForSequenceClassification from muhtasham
+author: John Snow Labs
+name: distilbert_sequence_classifier_autonlp_doctor_de_24595544
+date: 2023-11-18
+tags: [bert, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sequence_classifier_autonlp_doctor_de_24595544` is a German model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sequence_classifier_autonlp_doctor_de_24595544_de_5.2.0_3.0_1700336111326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sequence_classifier_autonlp_doctor_de_24595544_de_5.2.0_3.0_1700336111326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sequence_classifier_autonlp_toxic_nepal_bhasa_30516963|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abhishek/autonlp-toxic-new-30516963
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_autonlp_tweet_sentiment_extraction_20114061_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_autonlp_tweet_sentiment_extraction_20114061_en.md
new file mode 100644
index 000000000000..e8db1f175a9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_autonlp_tweet_sentiment_extraction_20114061_en.md
@@ -0,0 +1,99 @@
+---
+layout: model
+title: English distilbert_sequence_classifier_autonlp_tweet_sentiment_extraction_20114061 DistilBertForSequenceClassification from amansolanki
+author: John Snow Labs
+name: distilbert_sequence_classifier_autonlp_tweet_sentiment_extraction_20114061
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sequence_classifier_autonlp_tweet_sentiment_extraction_20114061` is a English model originally trained by amansolanki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sequence_classifier_autonlp_tweet_sentiment_extraction_20114061_en_5.2.0_3.0_1700335643291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sequence_classifier_autonlp_tweet_sentiment_extraction_20114061_en_5.2.0_3.0_1700335643291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sequence_classifier_c4_chinese_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/liam168/c4-zh-distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_cross_encoder_distilbert_italian_efederici_it.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_cross_encoder_distilbert_italian_efederici_it.md
new file mode 100644
index 000000000000..bf95c788655d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_cross_encoder_distilbert_italian_efederici_it.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Italian distilbert_sequence_classifier_cross_encoder_distilbert_italian_efederici DistilBertForSequenceClassification from efederici
+author: John Snow Labs
+name: distilbert_sequence_classifier_cross_encoder_distilbert_italian_efederici
+date: 2023-11-18
+tags: [bert, it, open_source, sequence_classification, onnx]
+task: Text Classification
+language: it
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sequence_classifier_cross_encoder_distilbert_italian_efederici` is a Italian model originally trained by efederici.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sequence_classifier_cross_encoder_distilbert_italian_efederici_it_5.2.0_3.0_1700336662100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sequence_classifier_cross_encoder_distilbert_italian_efederici_it_5.2.0_3.0_1700336662100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sequence_classifier_cross_encoder_distilbert_italian_efederici|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|236.4 MB|
+
+## References
+
+https://huggingface.co/efederici/cross-encoder-distilbert-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_cross_encoder_mmarco_german_distilbert_base_de.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_cross_encoder_mmarco_german_distilbert_base_de.md
new file mode 100644
index 000000000000..9e391a7bc497
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sequence_classifier_cross_encoder_mmarco_german_distilbert_base_de.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: German DistilBertForSequenceClassification Base Cased model (from ml6team)
+author: John Snow Labs
+name: distilbert_sequence_classifier_cross_encoder_mmarco_german_distilbert_base
+date: 2023-11-18
+tags: [distilbert, sequence_classification, open_source, de, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `cross-encoder-mmarco-german-distilbert-base` is a German model originally trained by `ml6team`.
+
+## Predicted Entities
+
+`LABEL_0`
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sequence_classifier_cross_encoder_mmarco_german_distilbert_base_de_5.2.0_3.0_1700336786891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sequence_classifier_cross_encoder_mmarco_german_distilbert_base_de_5.2.0_3.0_1700336786891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sexism_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/NLP-LTU/distilbert-sexism-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_spamemail_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_spamemail_en.md
new file mode 100644
index 000000000000..e6f44ba64b39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_spamemail_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_spamemail DistilBertForSequenceClassification from tony4194
+author: John Snow Labs
+name: distilbert_spamemail
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_spamemail` is a English model originally trained by tony4194.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_spamemail_en_5.2.0_3.0_1700341042734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_spamemail_en_5.2.0_3.0_1700341042734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_spamemail|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tony4194/distilbert-spamEmail
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_sst2_mahtab_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sst2_mahtab_en.md
new file mode 100644
index 000000000000..5aef2b8522e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_sst2_mahtab_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_sst2_mahtab DistilBertForSequenceClassification from Motahar
+author: John Snow Labs
+name: distilbert_sst2_mahtab
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst2_mahtab` is a English model originally trained by Motahar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst2_mahtab_en_5.2.0_3.0_1700350168719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst2_mahtab_en_5.2.0_3.0_1700350168719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sst2_mahtab|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Motahar/distilbert-sst2-mahtab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_svd_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_svd_en.md
new file mode 100644
index 000000000000..f02efa9f29d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_svd_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_svd DistilBertForSequenceClassification from Manivarsh
+author: John Snow Labs
+name: distilbert_svd
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_svd` is a English model originally trained by Manivarsh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_svd_en_5.2.0_3.0_1700342814509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_svd_en_5.2.0_3.0_1700342814509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_svd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Manivarsh/DistilBERT_SVD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_svd_hypo2_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_svd_hypo2_en.md
new file mode 100644
index 000000000000..963a9e9b1763
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_svd_hypo2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_svd_hypo2 DistilBertForSequenceClassification from Manivarsh
+author: John Snow Labs
+name: distilbert_svd_hypo2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_svd_hypo2` is a English model originally trained by Manivarsh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_svd_hypo2_en_5.2.0_3.0_1700346278967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_svd_hypo2_en_5.2.0_3.0_1700346278967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_svd_hypo2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Manivarsh/DistilBERT_SVD_Hypo2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_toxicity_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_toxicity_classifier_en.md
new file mode 100644
index 000000000000..939366153a3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_toxicity_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_toxicity_classifier DistilBertForSequenceClassification from tensor-trek
+author: John Snow Labs
+name: distilbert_toxicity_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_toxicity_classifier` is a English model originally trained by tensor-trek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_toxicity_classifier_en_5.2.0_3.0_1700340262256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_toxicity_classifier_en_5.2.0_3.0_1700340262256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_toxicity_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/tensor-trek/distilbert-toxicity-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_undersampled_noweights_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_undersampled_noweights_en.md
new file mode 100644
index 000000000000..da1f1c069db9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_undersampled_noweights_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_undersampled_noweights DistilBertForSequenceClassification from Kayvane
+author: John Snow Labs
+name: distilbert_undersampled_noweights
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_undersampled_noweights` is a English model originally trained by Kayvane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_undersampled_noweights_en_5.2.0_3.0_1700350799993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_undersampled_noweights_en_5.2.0_3.0_1700350799993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_undersampled_noweights|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/Kayvane/distilbert-undersampled-noweights
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_xnli_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_xnli_en.md
new file mode 100644
index 000000000000..b319dfa62325
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_xnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_xnli DistilBertForSequenceClassification from regisss
+author: John Snow Labs
+name: distilbert_xnli
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_xnli` is a English model originally trained by regisss.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_xnli_en_5.2.0_3.0_1700349113902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_xnli_en_5.2.0_3.0_1700349113902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_xnli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/regisss/distilbert_xnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilbert_yes_no_other_intent_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilbert_yes_no_other_intent_en.md
new file mode 100644
index 000000000000..f51d42d7e236
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilbert_yes_no_other_intent_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_yes_no_other_intent DistilBertForSequenceClassification from sachin19566
+author: John Snow Labs
+name: distilbert_yes_no_other_intent
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_yes_no_other_intent` is a English model originally trained by sachin19566.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_yes_no_other_intent_en_5.2.0_3.0_1700343924835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_yes_no_other_intent_en_5.2.0_3.0_1700343924835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_yes_no_other_intent|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sachin19566/distilbert_Yes_No_Other_Intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distillbert_base_uncased_80_equal_en.md b/docs/_posts/ahmedlone127/2023-11-18-distillbert_base_uncased_80_equal_en.md
new file mode 100644
index 000000000000..3569715899d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distillbert_base_uncased_80_equal_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distillbert_base_uncased_80_equal DistilBertForSequenceClassification from Tejas3
+author: John Snow Labs
+name: distillbert_base_uncased_80_equal
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_base_uncased_80_equal` is a English model originally trained by Tejas3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_80_equal_en_5.2.0_3.0_1700340778325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_80_equal_en_5.2.0_3.0_1700340778325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_base_uncased_80_equal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tejas3/distillbert_base_uncased_80_equal
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distillbert_complaints_en.md b/docs/_posts/ahmedlone127/2023-11-18-distillbert_complaints_en.md
new file mode 100644
index 000000000000..41ed1704867e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distillbert_complaints_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distillbert_complaints DistilBertForSequenceClassification from Davegd
+author: John Snow Labs
+name: distillbert_complaints
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_complaints` is a English model originally trained by Davegd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_complaints_en_5.2.0_3.0_1700351528528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_complaints_en_5.2.0_3.0_1700351528528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_complaints|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Davegd/distillbert_complaints
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distillbert_conv_quality_score_en.md b/docs/_posts/ahmedlone127/2023-11-18-distillbert_conv_quality_score_en.md
new file mode 100644
index 000000000000..b1c96c63f122
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distillbert_conv_quality_score_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distillbert_conv_quality_score DistilBertForSequenceClassification from alespalla
+author: John Snow Labs
+name: distillbert_conv_quality_score
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_conv_quality_score` is a English model originally trained by alespalla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_conv_quality_score_en_5.2.0_3.0_1700345900617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_conv_quality_score_en_5.2.0_3.0_1700345900617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_conv_quality_score|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/alespalla/distillbert_conv_quality_score
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distillbert_misinformation_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-distillbert_misinformation_classifier_en.md
new file mode 100644
index 000000000000..90cac7e47b1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distillbert_misinformation_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distillbert_misinformation_classifier DistilBertForSequenceClassification from FriedGil
+author: John Snow Labs
+name: distillbert_misinformation_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_misinformation_classifier` is a English model originally trained by FriedGil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_misinformation_classifier_en_5.2.0_3.0_1700342993297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_misinformation_classifier_en_5.2.0_3.0_1700342993297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_misinformation_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/FriedGil/distillBERT-misinformation-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilrubert_tiny_cased_conversational_v1_finetuned_emotion_experiment_augmented_anger_fear_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilrubert_tiny_cased_conversational_v1_finetuned_emotion_experiment_augmented_anger_fear_en.md
new file mode 100644
index 000000000000..66bce6589974
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilrubert_tiny_cased_conversational_v1_finetuned_emotion_experiment_augmented_anger_fear_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilrubert_tiny_cased_conversational_v1_finetuned_emotion_experiment_augmented_anger_fear DistilBertForSequenceClassification from mmillet
+author: John Snow Labs
+name: distilrubert_tiny_cased_conversational_v1_finetuned_emotion_experiment_augmented_anger_fear
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilrubert_tiny_cased_conversational_v1_finetuned_emotion_experiment_augmented_anger_fear` is a English model originally trained by mmillet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilrubert_tiny_cased_conversational_v1_finetuned_emotion_experiment_augmented_anger_fear_en_5.2.0_3.0_1700340767180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilrubert_tiny_cased_conversational_v1_finetuned_emotion_experiment_augmented_anger_fear_en_5.2.0_3.0_1700340767180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilrubert_tiny_cased_conversational_v1_finetuned_emotion_experiment_augmented_anger_fear|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|39.2 MB|
+
+## References
+
+https://huggingface.co/mmillet/distilrubert-tiny-cased-conversational-v1_finetuned_emotion_experiment_augmented_anger_fear
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-distilvert_complaints_subproduct_en.md b/docs/_posts/ahmedlone127/2023-11-18-distilvert_complaints_subproduct_en.md
new file mode 100644
index 000000000000..6453bb230879
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-distilvert_complaints_subproduct_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilvert_complaints_subproduct DistilBertForSequenceClassification from Kayvane
+author: John Snow Labs
+name: distilvert_complaints_subproduct
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilvert_complaints_subproduct` is a English model originally trained by Kayvane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilvert_complaints_subproduct_en_5.2.0_3.0_1700351931650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilvert_complaints_subproduct_en_5.2.0_3.0_1700351931650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilvert_complaints_subproduct|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/Kayvane/distilvert-complaints-subproduct
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-ditilbert_spamemail_en.md b/docs/_posts/ahmedlone127/2023-11-18-ditilbert_spamemail_en.md
new file mode 100644
index 000000000000..8a00331a4557
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-ditilbert_spamemail_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ditilbert_spamemail DistilBertForSequenceClassification from tony4194
+author: John Snow Labs
+name: ditilbert_spamemail
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ditilbert_spamemail` is a English model originally trained by tony4194.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ditilbert_spamemail_en_5.2.0_3.0_1700342308747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ditilbert_spamemail_en_5.2.0_3.0_1700342308747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ditilbert_spamemail|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/tony4194/ditilbert-spamEmail
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-domain_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-domain_classification_en.md
new file mode 100644
index 000000000000..ae1698289e96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-domain_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English domain_classification DistilBertForSequenceClassification from phongmt184172
+author: John Snow Labs
+name: domain_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`domain_classification` is a English model originally trained by phongmt184172.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/domain_classification_en_5.2.0_3.0_1700343651693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/domain_classification_en_5.2.0_3.0_1700343651693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+References
+
+https://huggingface.co/luoweijie/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-emailclassifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-emailclassifier_en.md
new file mode 100644
index 000000000000..b17f528c846c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-emailclassifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emailclassifier DistilBertForSequenceClassification from fathyshalaby
+author: John Snow Labs
+name: emailclassifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emailclassifier` is a English model originally trained by fathyshalaby.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emailclassifier_en_5.2.0_3.0_1700349933875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emailclassifier_en_5.2.0_3.0_1700349933875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emailclassifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fathyshalaby/emailclassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-emotion_advance_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-emotion_advance_classifier_en.md
new file mode 100644
index 000000000000..2460e69bb31c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-emotion_advance_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotion_advance_classifier DistilBertForSequenceClassification from neel-jotaniya
+author: John Snow Labs
+name: emotion_advance_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_advance_classifier` is a English model originally trained by neel-jotaniya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_advance_classifier_en_5.2.0_3.0_1700341060946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_advance_classifier_en_5.2.0_3.0_1700341060946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_advance_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/neel-jotaniya/emotion-advance-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-emotion_model_giraffewt_en.md b/docs/_posts/ahmedlone127/2023-11-18-emotion_model_giraffewt_en.md
new file mode 100644
index 000000000000..282a6705bd0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-emotion_model_giraffewt_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotion_model_giraffewt DistilBertForSequenceClassification from giraffewt
+author: John Snow Labs
+name: emotion_model_giraffewt
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_model_giraffewt` is a English model originally trained by giraffewt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_model_giraffewt_en_5.2.0_3.0_1700346120020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_model_giraffewt_en_5.2.0_3.0_1700346120020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_model_giraffewt|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.8 MB|
+
+## References
+
+https://huggingface.co/giraffewt/emotion_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-emotion_trained_final_en.md b/docs/_posts/ahmedlone127/2023-11-18-emotion_trained_final_en.md
new file mode 100644
index 000000000000..190a0be42ba6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-emotion_trained_final_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotion_trained_final DistilBertForSequenceClassification from aXhyra
+author: John Snow Labs
+name: emotion_trained_final
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_trained_final` is a English model originally trained by aXhyra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_trained_final_en_5.2.0_3.0_1700345110038.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_trained_final_en_5.2.0_3.0_1700345110038.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_trained_final|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aXhyra/emotion_trained_final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-emotions_gssi_en.md b/docs/_posts/ahmedlone127/2023-11-18-emotions_gssi_en.md
new file mode 100644
index 000000000000..1c3a05159218
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-emotions_gssi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotions_gssi DistilBertForSequenceClassification from agil
+author: John Snow Labs
+name: emotions_gssi
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotions_gssi` is a English model originally trained by agil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotions_gssi_en_5.2.0_3.0_1700347010903.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotions_gssi_en_5.2.0_3.0_1700347010903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotions_gssi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/agil/emotions-gssi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-english_sms_classification_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-english_sms_classification_model_en.md
new file mode 100644
index 000000000000..e301f24eebe3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-english_sms_classification_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English english_sms_classification_model DistilBertForSequenceClassification from akuysal
+author: John Snow Labs
+name: english_sms_classification_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_sms_classification_model` is a English model originally trained by akuysal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_sms_classification_model_en_5.2.0_3.0_1700350669534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_sms_classification_model_en_5.2.0_3.0_1700350669534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_sms_classification_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/akuysal/English-SMS-classification-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-event_classification_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-event_classification_model_en.md
new file mode 100644
index 000000000000..304e21df3779
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-event_classification_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English event_classification_model DistilBertForSequenceClassification from bhuvi
+author: John Snow Labs
+name: event_classification_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`event_classification_model` is a English model originally trained by bhuvi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/event_classification_model_en_5.2.0_3.0_1700343993938.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/event_classification_model_en_5.2.0_3.0_1700343993938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|event_classification_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bhuvi/event_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-extended_distilbert_finetuned_resumes_sections_en.md b/docs/_posts/ahmedlone127/2023-11-18-extended_distilbert_finetuned_resumes_sections_en.md
new file mode 100644
index 000000000000..d8a9a9b8065d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-extended_distilbert_finetuned_resumes_sections_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English extended_distilbert_finetuned_resumes_sections DistilBertForSequenceClassification from has-abi
+author: John Snow Labs
+name: extended_distilbert_finetuned_resumes_sections
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`extended_distilbert_finetuned_resumes_sections` is a English model originally trained by has-abi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/extended_distilbert_finetuned_resumes_sections_en_5.2.0_3.0_1700339694922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/extended_distilbert_finetuned_resumes_sections_en_5.2.0_3.0_1700339694922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|extended_distilbert_finetuned_resumes_sections|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|259.2 MB|
+
+## References
+
+https://huggingface.co/has-abi/extended_distilBERT-finetuned-resumes-sections
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-eyy_categorisation_1_0_en.md b/docs/_posts/ahmedlone127/2023-11-18-eyy_categorisation_1_0_en.md
new file mode 100644
index 000000000000..4e905cf82c93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-eyy_categorisation_1_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English eyy_categorisation_1_0 DistilBertForSequenceClassification from ICFNext
+author: John Snow Labs
+name: eyy_categorisation_1_0
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`eyy_categorisation_1_0` is a English model originally trained by ICFNext.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eyy_categorisation_1_0_en_5.2.0_3.0_1700339009257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eyy_categorisation_1_0_en_5.2.0_3.0_1700339009257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eyy_categorisation_1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ICFNext/EYY-categorisation-1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-eyy_topic_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-eyy_topic_classification_en.md
new file mode 100644
index 000000000000..20fafde4ed63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-eyy_topic_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English eyy_topic_classification DistilBertForSequenceClassification from ebrigham
+author: John Snow Labs
+name: eyy_topic_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`eyy_topic_classification` is a English model originally trained by ebrigham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eyy_topic_classification_en_5.2.0_3.0_1700343824127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eyy_topic_classification_en_5.2.0_3.0_1700343824127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eyy_topic_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ebrigham/EYY-Topic-Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-fake_news_classification_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-18-fake_news_classification_distilbert_en.md
new file mode 100644
index 000000000000..9bbad717fe9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-fake_news_classification_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fake_news_classification_distilbert DistilBertForSequenceClassification from therealcyberlord
+author: John Snow Labs
+name: fake_news_classification_distilbert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_classification_distilbert` is a English model originally trained by therealcyberlord.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_classification_distilbert_en_5.2.0_3.0_1700347518976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_classification_distilbert_en_5.2.0_3.0_1700347518976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_classification_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/therealcyberlord/fake-news-classification-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-fake_news_detector_qiaozhen_en.md b/docs/_posts/ahmedlone127/2023-11-18-fake_news_detector_qiaozhen_en.md
new file mode 100644
index 000000000000..0fb934fa5d65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-fake_news_detector_qiaozhen_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fake_news_detector_qiaozhen DistilBertForSequenceClassification from Qiaozhen
+author: John Snow Labs
+name: fake_news_detector_qiaozhen
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_detector_qiaozhen` is a English model originally trained by Qiaozhen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_detector_qiaozhen_en_5.2.0_3.0_1700345267778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_detector_qiaozhen_en_5.2.0_3.0_1700345267778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_detector_qiaozhen|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Qiaozhen/fake-news-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-fake_reviews_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-18-fake_reviews_distilbert_en.md
new file mode 100644
index 000000000000..88b33e1b7ded
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-fake_reviews_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fake_reviews_distilbert DistilBertForSequenceClassification from astrosbd
+author: John Snow Labs
+name: fake_reviews_distilbert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_reviews_distilbert` is a English model originally trained by astrosbd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_reviews_distilbert_en_5.2.0_3.0_1700341670844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_reviews_distilbert_en_5.2.0_3.0_1700341670844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_reviews_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/astrosbd/fake-reviews-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-fake_reviews_distilbert_v3_en.md b/docs/_posts/ahmedlone127/2023-11-18-fake_reviews_distilbert_v3_en.md
new file mode 100644
index 000000000000..841e4457ecc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-fake_reviews_distilbert_v3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fake_reviews_distilbert_v3 DistilBertForSequenceClassification from astrosbd
+author: John Snow Labs
+name: fake_reviews_distilbert_v3
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_reviews_distilbert_v3` is a English model originally trained by astrosbd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_reviews_distilbert_v3_en_5.2.0_3.0_1700347741196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_reviews_distilbert_v3_en_5.2.0_3.0_1700347741196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_reviews_distilbert_v3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/astrosbd/fake-reviews-distilbert-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-fake_tweet_detect_en.md b/docs/_posts/ahmedlone127/2023-11-18-fake_tweet_detect_en.md
new file mode 100644
index 000000000000..53ed374bf09a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-fake_tweet_detect_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fake_tweet_detect DistilBertForSequenceClassification from chinhon
+author: John Snow Labs
+name: fake_tweet_detect
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_tweet_detect` is a English model originally trained by chinhon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_tweet_detect_en_5.2.0_3.0_1700348510518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_tweet_detect_en_5.2.0_3.0_1700348510518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finance_sentiment_polish_fast|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|pl|
+|Size:|510.6 MB|
+
+## References
+
+https://huggingface.co/bardsai/finance-sentiment-pl-fast
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-fine_tuned_resume_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-fine_tuned_resume_model_en.md
new file mode 100644
index 000000000000..44ad72a86ae0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-fine_tuned_resume_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tuned_resume_model DistilBertForSequenceClassification from Invimatic
+author: John Snow Labs
+name: fine_tuned_resume_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_resume_model` is a English model originally trained by Invimatic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_resume_model_en_5.2.0_3.0_1700346054564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_resume_model_en_5.2.0_3.0_1700346054564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_resume_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Invimatic/fine_tuned_resume_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-fine_tuned_sentiment_analysis_customer_feedback_en.md b/docs/_posts/ahmedlone127/2023-11-18-fine_tuned_sentiment_analysis_customer_feedback_en.md
new file mode 100644
index 000000000000..1254701b287a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-fine_tuned_sentiment_analysis_customer_feedback_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tuned_sentiment_analysis_customer_feedback DistilBertForSequenceClassification from anchit48
+author: John Snow Labs
+name: fine_tuned_sentiment_analysis_customer_feedback
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_sentiment_analysis_customer_feedback` is a English model originally trained by anchit48.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_sentiment_analysis_customer_feedback_en_5.2.0_3.0_1700345729348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_sentiment_analysis_customer_feedback_en_5.2.0_3.0_1700345729348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_sentiment_analysis_customer_feedback|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anchit48/fine-tuned-sentiment-analysis-customer-feedback
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetune_sentiment_analysis_model_3000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetune_sentiment_analysis_model_3000_samples_en.md
new file mode 100644
index 000000000000..517c72a42694
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetune_sentiment_analysis_model_3000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetune_sentiment_analysis_model_3000_samples DistilBertForSequenceClassification from federicopascual
+author: John Snow Labs
+name: finetune_sentiment_analysis_model_3000_samples
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetune_sentiment_analysis_model_3000_samples` is a English model originally trained by federicopascual.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetune_sentiment_analysis_model_3000_samples_en_5.2.0_3.0_1700348754632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetune_sentiment_analysis_model_3000_samples_en_5.2.0_3.0_1700348754632.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetune_sentiment_analysis_model_3000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/federicopascual/finetune-sentiment-analysis-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuned_cyberbullying_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuned_cyberbullying_en.md
new file mode 100644
index 000000000000..382371392bae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuned_cyberbullying_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_cyberbullying DistilBertForSequenceClassification from kingsotn
+author: John Snow Labs
+name: finetuned_cyberbullying
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_cyberbullying` is a English model originally trained by kingsotn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_cyberbullying_en_5.2.0_3.0_1700340925675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_cyberbullying_en_5.2.0_3.0_1700340925675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_cyberbullying|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kingsotn/finetuned_cyberbullying
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_adult_content_detection_valurank_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_adult_content_detection_valurank_en.md
new file mode 100644
index 000000000000..6f10ec68bd38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_adult_content_detection_valurank_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_adult_content_detection_valurank DistilBertForSequenceClassification from valurank
+author: John Snow Labs
+name: finetuned_distilbert_adult_content_detection_valurank
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_adult_content_detection_valurank` is a English model originally trained by valurank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_adult_content_detection_valurank_en_5.2.0_3.0_1700340118726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_adult_content_detection_valurank_en_5.2.0_3.0_1700340118726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_adult_content_detection_valurank|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/valurank/finetuned-distilbert-adult-content-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_base_model_kwabenamufasa_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_base_model_kwabenamufasa_en.md
new file mode 100644
index 000000000000..d8cebe5082d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_base_model_kwabenamufasa_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_base_model_kwabenamufasa DistilBertForSequenceClassification from KwabenaMufasa
+author: John Snow Labs
+name: finetuned_distilbert_base_model_kwabenamufasa
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_base_model_kwabenamufasa` is a English model originally trained by KwabenaMufasa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_model_kwabenamufasa_en_5.2.0_3.0_1700347300722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_model_kwabenamufasa_en_5.2.0_3.0_1700347300722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_base_model_kwabenamufasa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KwabenaMufasa/Finetuned-Distilbert-base-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_explicit_content_detection_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_explicit_content_detection_en.md
new file mode 100644
index 000000000000..afd76ef5dd39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_explicit_content_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_explicit_content_detection DistilBertForSequenceClassification from valurank
+author: John Snow Labs
+name: finetuned_distilbert_explicit_content_detection
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_explicit_content_detection` is a English model originally trained by valurank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_explicit_content_detection_en_5.2.0_3.0_1700340630823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_explicit_content_detection_en_5.2.0_3.0_1700340630823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_explicit_content_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/valurank/finetuned-distilbert-explicit-content-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_mahmoud8_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_mahmoud8_en.md
new file mode 100644
index 000000000000..d651c3e3f1b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_mahmoud8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_mahmoud8 DistilBertForSequenceClassification from Mahmoud8
+author: John Snow Labs
+name: finetuned_distilbert_mahmoud8
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_mahmoud8` is a English model originally trained by Mahmoud8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_mahmoud8_en_5.2.0_3.0_1700338204974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_mahmoud8_en_5.2.0_3.0_1700338204974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_mahmoud8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mahmoud8/finetuned-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_model_en.md
new file mode 100644
index 000000000000..7630ad0f6b35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_model DistilBertForSequenceClassification from Afia-manubea
+author: John Snow Labs
+name: finetuned_distilbert_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_model` is a English model originally trained by Afia-manubea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_model_en_5.2.0_3.0_1700340490965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_model_en_5.2.0_3.0_1700340490965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Afia-manubea/FineTuned-DistilBert-Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_multi_label_emotion_valurank_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_multi_label_emotion_valurank_en.md
new file mode 100644
index 000000000000..5679d86c4b8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_multi_label_emotion_valurank_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_multi_label_emotion_valurank DistilBertForSequenceClassification from valurank
+author: John Snow Labs
+name: finetuned_distilbert_multi_label_emotion_valurank
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_multi_label_emotion_valurank` is a English model originally trained by valurank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_valurank_en_5.2.0_3.0_1700339294482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_valurank_en_5.2.0_3.0_1700339294482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_multi_label_emotion_valurank|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/valurank/finetuned-distilbert-multi-label-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_news_article_categorization_valurank_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_news_article_categorization_valurank_en.md
new file mode 100644
index 000000000000..4f13065ed6ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_news_article_categorization_valurank_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_news_article_categorization_valurank DistilBertForSequenceClassification from valurank
+author: John Snow Labs
+name: finetuned_distilbert_news_article_categorization_valurank
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_news_article_categorization_valurank` is a English model originally trained by valurank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_news_article_categorization_valurank_en_5.2.0_3.0_1700339976719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_news_article_categorization_valurank_en_5.2.0_3.0_1700339976719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_news_article_categorization_valurank|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/valurank/finetuned-distilbert-news-article-categorization
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_shidhant_emotion_article_categorization_2_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_shidhant_emotion_article_categorization_2_en.md
new file mode 100644
index 000000000000..825a0eeaba7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuned_distilbert_shidhant_emotion_article_categorization_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_shidhant_emotion_article_categorization_2 DistilBertForSequenceClassification from almalabs
+author: John Snow Labs
+name: finetuned_distilbert_shidhant_emotion_article_categorization_2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_shidhant_emotion_article_categorization_2` is a English model originally trained by almalabs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_shidhant_emotion_article_categorization_2_en_5.2.0_3.0_1700350249141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_shidhant_emotion_article_categorization_2_en_5.2.0_3.0_1700350249141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_shidhant_emotion_article_categorization_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/almalabs/finetuned-distilbert-shidhant-emotion-article-categorization_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuned_sentiment_analysis_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuned_sentiment_analysis_model_en.md
new file mode 100644
index 000000000000..93f2dbd8e870
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuned_sentiment_analysis_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentiment_analysis_model DistilBertForSequenceClassification from federicopascual
+author: John Snow Labs
+name: finetuned_sentiment_analysis_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_analysis_model` is a English model originally trained by federicopascual.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_analysis_model_en_5.2.0_3.0_1700341480377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_analysis_model_en_5.2.0_3.0_1700341480377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentiment_analysis_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/federicopascual/finetuned-sentiment-analysis-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuned_sentiment_model_yrajm1997_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuned_sentiment_model_yrajm1997_en.md
new file mode 100644
index 000000000000..a01b21658c66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuned_sentiment_model_yrajm1997_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentiment_model_yrajm1997 DistilBertForSequenceClassification from yrajm1997
+author: John Snow Labs
+name: finetuned_sentiment_model_yrajm1997
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_model_yrajm1997` is a English model originally trained by yrajm1997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_model_yrajm1997_en_5.2.0_3.0_1700343794392.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_model_yrajm1997_en_5.2.0_3.0_1700343794392.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentiment_model_yrajm1997|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yrajm1997/finetuned-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_bert_sentiment_reviews_2_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_bert_sentiment_reviews_2_en.md
new file mode 100644
index 000000000000..8816ff82996c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_bert_sentiment_reviews_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_bert_sentiment_reviews_2 DistilBertForSequenceClassification from IAyoub
+author: John Snow Labs
+name: finetuning_bert_sentiment_reviews_2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_bert_sentiment_reviews_2` is a English model originally trained by IAyoub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_bert_sentiment_reviews_2_en_5.2.0_3.0_1700343224929.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_bert_sentiment_reviews_2_en_5.2.0_3.0_1700343224929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_bert_sentiment_reviews_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/IAyoub/finetuning-bert-sentiment-reviews-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_emotion_model_dcssdc_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_emotion_model_dcssdc_en.md
new file mode 100644
index 000000000000..9ccde3d75df6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_emotion_model_dcssdc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_emotion_model_dcssdc DistilBertForSequenceClassification from dcssdc
+author: John Snow Labs
+name: finetuning_emotion_model_dcssdc
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_dcssdc` is a English model originally trained by dcssdc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_dcssdc_en_5.2.0_3.0_1700346119424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_dcssdc_en_5.2.0_3.0_1700346119424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_emotion_model_dcssdc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dcssdc/finetuning-emotion-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_financial_news_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_financial_news_sentiment_en.md
new file mode 100644
index 000000000000..eff9c914fbae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_financial_news_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_financial_news_sentiment DistilBertForSequenceClassification from samayash
+author: John Snow Labs
+name: finetuning_financial_news_sentiment
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_financial_news_sentiment` is a English model originally trained by samayash.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_financial_news_sentiment_en_5.2.0_3.0_1700341842054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_financial_news_sentiment_en_5.2.0_3.0_1700341842054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_financial_news_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/samayash/finetuning-financial-news-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_homonymssentimentanalysis_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_homonymssentimentanalysis_model_en.md
new file mode 100644
index 000000000000..098bd0772843
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_homonymssentimentanalysis_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_homonymssentimentanalysis_model DistilBertForSequenceClassification from MahmoudMohsen
+author: John Snow Labs
+name: finetuning_homonymssentimentanalysis_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_homonymssentimentanalysis_model` is a English model originally trained by MahmoudMohsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_homonymssentimentanalysis_model_en_5.2.0_3.0_1700347172114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_homonymssentimentanalysis_model_en_5.2.0_3.0_1700347172114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_homonymssentimentanalysis_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/MahmoudMohsen/finetuning-HomonymsSentimentAnalysis-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_medical_specialty_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_medical_specialty_model_en.md
new file mode 100644
index 000000000000..d2b38677cc02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_medical_specialty_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_medical_specialty_model DistilBertForSequenceClassification from richtsai1103
+author: John Snow Labs
+name: finetuning_medical_specialty_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_medical_specialty_model` is a English model originally trained by richtsai1103.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_medical_specialty_model_en_5.2.0_3.0_1700348502646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_medical_specialty_model_en_5.2.0_3.0_1700348502646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_medical_specialty_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/richtsai1103/finetuning-medical-specialty-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_all_df_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_all_df_en.md
new file mode 100644
index 000000000000..6025385eb4bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_all_df_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_all_df DistilBertForSequenceClassification from Timothy1337
+author: John Snow Labs
+name: finetuning_sentiment_all_df
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_all_df` is a English model originally trained by Timothy1337.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_all_df_en_5.2.0_3.0_1700345468890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_all_df_en_5.2.0_3.0_1700345468890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_all_df|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/Timothy1337/finetuning-sentiment-all_df
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_classification_model_with_amazon_appliances_data_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_classification_model_with_amazon_appliances_data_en.md
new file mode 100644
index 000000000000..a9370e96155b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_classification_model_with_amazon_appliances_data_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_classification_model_with_amazon_appliances_data DistilBertForSequenceClassification from m-aamir95
+author: John Snow Labs
+name: finetuning_sentiment_classification_model_with_amazon_appliances_data
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_classification_model_with_amazon_appliances_data` is a English model originally trained by m-aamir95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_classification_model_with_amazon_appliances_data_en_5.2.0_3.0_1700340796786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_classification_model_with_amazon_appliances_data_en_5.2.0_3.0_1700340796786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_classification_model_with_amazon_appliances_data|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/m-aamir95/finetuning-sentiment-classification-model-with-amazon-appliances-data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_12000_samples_mansidw_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_12000_samples_mansidw_en.md
new file mode 100644
index 000000000000..7ee7392633fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_12000_samples_mansidw_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_12000_samples_mansidw DistilBertForSequenceClassification from mansidw
+author: John Snow Labs
+name: finetuning_sentiment_model_12000_samples_mansidw
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_12000_samples_mansidw` is a English model originally trained by mansidw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_12000_samples_mansidw_en_5.2.0_3.0_1700351781011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_12000_samples_mansidw_en_5.2.0_3.0_1700351781011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_12000_samples_mansidw|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mansidw/finetuning-sentiment-model-12000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_18000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_18000_samples_en.md
new file mode 100644
index 000000000000..25fe1321ac8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_18000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_18000_samples DistilBertForSequenceClassification from LeakyDishes
+author: John Snow Labs
+name: finetuning_sentiment_model_18000_samples
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_18000_samples` is a English model originally trained by LeakyDishes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_18000_samples_en_5.2.0_3.0_1700350991520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_18000_samples_en_5.2.0_3.0_1700350991520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_18000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/LeakyDishes/finetuning-sentiment-model-18000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_3000_samples_federicopascual_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_3000_samples_federicopascual_en.md
new file mode 100644
index 000000000000..6b63ee19b8c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_3000_samples_federicopascual_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_federicopascual DistilBertForSequenceClassification from federicopascual
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_federicopascual
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_federicopascual` is a English model originally trained by federicopascual.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_federicopascual_en_5.2.0_3.0_1700341673223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_federicopascual_en_5.2.0_3.0_1700341673223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_federicopascual|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/federicopascual/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_3000_samples_intradiction_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_3000_samples_intradiction_en.md
new file mode 100644
index 000000000000..4c3df8e04912
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_3000_samples_intradiction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_intradiction DistilBertForSequenceClassification from Intradiction
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_intradiction
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_intradiction` is a English model originally trained by Intradiction.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_intradiction_en_5.2.0_3.0_1700341056541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_intradiction_en_5.2.0_3.0_1700341056541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_intradiction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Intradiction/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_3000_samples_leakydishes_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_3000_samples_leakydishes_en.md
new file mode 100644
index 000000000000..b379886e7369
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_3000_samples_leakydishes_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_leakydishes DistilBertForSequenceClassification from LeakyDishes
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_leakydishes
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_leakydishes` is a English model originally trained by LeakyDishes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_leakydishes_en_5.2.0_3.0_1700342154800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_leakydishes_en_5.2.0_3.0_1700342154800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_leakydishes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LeakyDishes/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_for_c2er_teomotun_en.md b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_for_c2er_teomotun_en.md
new file mode 100644
index 000000000000..034df95e7359
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-finetuning_sentiment_model_for_c2er_teomotun_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_for_c2er_teomotun DistilBertForSequenceClassification from teomotun
+author: John Snow Labs
+name: finetuning_sentiment_model_for_c2er_teomotun
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_for_c2er_teomotun` is a English model originally trained by teomotun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_for_c2er_teomotun_en_5.2.0_3.0_1700338570308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_for_c2er_teomotun_en_5.2.0_3.0_1700338570308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_for_c2er_teomotun|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/teomotun/finetuning-sentiment-model-for-c2er
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-fpc_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-fpc_model_en.md
new file mode 100644
index 000000000000..2ab734551d9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-fpc_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fpc_model DistilBertForSequenceClassification from anth0nyhak1m
+author: John Snow Labs
+name: fpc_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fpc_model` is a English model originally trained by anth0nyhak1m.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fpc_model_en_5.2.0_3.0_1700349675444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fpc_model_en_5.2.0_3.0_1700349675444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fpc_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anth0nyhak1m/FPC_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-fraud_text_detection_en.md b/docs/_posts/ahmedlone127/2023-11-18-fraud_text_detection_en.md
new file mode 100644
index 000000000000..989df26c1433
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-fraud_text_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fraud_text_detection DistilBertForSequenceClassification from austinb
+author: John Snow Labs
+name: fraud_text_detection
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fraud_text_detection` is a English model originally trained by austinb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fraud_text_detection_en_5.2.0_3.0_1700341003074.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fraud_text_detection_en_5.2.0_3.0_1700341003074.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fraud_text_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/austinb/fraud_text_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-gc_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-gc_model_en.md
new file mode 100644
index 000000000000..06c622de38af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-gc_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English gc_model DistilBertForSequenceClassification from peterjwms
+author: John Snow Labs
+name: gc_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gc_model` is a English model originally trained by peterjwms.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gc_model_en_5.2.0_3.0_1700347648096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gc_model_en_5.2.0_3.0_1700347648096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gc_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/peterjwms/gc_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-gender_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-gender_classification_en.md
new file mode 100644
index 000000000000..b1a4db7a6abf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-gender_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English gender_classification DistilBertForSequenceClassification from padmajabfrl
+author: John Snow Labs
+name: gender_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gender_classification` is a English model originally trained by padmajabfrl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gender_classification_en_5.2.0_3.0_1700338938839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gender_classification_en_5.2.0_3.0_1700338938839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gender_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/padmajabfrl/Gender-Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-genre_pred_model_balanced_matthiasr_en.md b/docs/_posts/ahmedlone127/2023-11-18-genre_pred_model_balanced_matthiasr_en.md
new file mode 100644
index 000000000000..dc307e25b330
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-genre_pred_model_balanced_matthiasr_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English genre_pred_model_balanced_matthiasr DistilBertForSequenceClassification from matthiasr
+author: John Snow Labs
+name: genre_pred_model_balanced_matthiasr
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`genre_pred_model_balanced_matthiasr` is a English model originally trained by matthiasr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/genre_pred_model_balanced_matthiasr_en_5.2.0_3.0_1700350236617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/genre_pred_model_balanced_matthiasr_en_5.2.0_3.0_1700350236617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|genre_pred_model_balanced_matthiasr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/matthiasr/genre_pred_model_balanced
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-gibberish_text_detector_en.md b/docs/_posts/ahmedlone127/2023-11-18-gibberish_text_detector_en.md
new file mode 100644
index 000000000000..3c3f1fceadea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-gibberish_text_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English gibberish_text_detector DistilBertForSequenceClassification from wajidlinux99
+author: John Snow Labs
+name: gibberish_text_detector
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gibberish_text_detector` is a English model originally trained by wajidlinux99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gibberish_text_detector_en_5.2.0_3.0_1700339276860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gibberish_text_detector_en_5.2.0_3.0_1700339276860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gibberish_text_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wajidlinux99/gibberish-text-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-goemotions_distilbertbase_en.md b/docs/_posts/ahmedlone127/2023-11-18-goemotions_distilbertbase_en.md
new file mode 100644
index 000000000000..18e0aad24da0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-goemotions_distilbertbase_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English goemotions_distilbertbase DistilBertForSequenceClassification from mrovejaxd
+author: John Snow Labs
+name: goemotions_distilbertbase
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`goemotions_distilbertbase` is a English model originally trained by mrovejaxd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/goemotions_distilbertbase_en_5.2.0_3.0_1700344148635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/goemotions_distilbertbase_en_5.2.0_3.0_1700344148635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|goemotions_distilbertbase|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mrovejaxd/goemotions_distilbertbase
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-handsfree_intent_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-handsfree_intent_classification_en.md
new file mode 100644
index 000000000000..5f4dc0fca6da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-handsfree_intent_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English handsfree_intent_classification DistilBertForSequenceClassification from eloi-goncalves
+author: John Snow Labs
+name: handsfree_intent_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`handsfree_intent_classification` is a English model originally trained by eloi-goncalves.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/handsfree_intent_classification_en_5.2.0_3.0_1700347342427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/handsfree_intent_classification_en_5.2.0_3.0_1700347342427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|handsfree_intent_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/eloi-goncalves/handsfree_intent_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-hate_speech_multilabel_classification_with_bert_en.md b/docs/_posts/ahmedlone127/2023-11-18-hate_speech_multilabel_classification_with_bert_en.md
new file mode 100644
index 000000000000..bf3eec003303
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-hate_speech_multilabel_classification_with_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_speech_multilabel_classification_with_bert DistilBertForSequenceClassification from wesleyacheng
+author: John Snow Labs
+name: hate_speech_multilabel_classification_with_bert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_speech_multilabel_classification_with_bert` is a English model originally trained by wesleyacheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_speech_multilabel_classification_with_bert_en_5.2.0_3.0_1700345187586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_speech_multilabel_classification_with_bert_en_5.2.0_3.0_1700345187586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_speech_multilabel_classification_with_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wesleyacheng/hate-speech-multilabel-classification-with-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-hf_repo_en.md b/docs/_posts/ahmedlone127/2023-11-18-hf_repo_en.md
new file mode 100644
index 000000000000..b51725ac68cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-hf_repo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hf_repo DistilBertForSequenceClassification from htahir1
+author: John Snow Labs
+name: hf_repo
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hf_repo` is a English model originally trained by htahir1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hf_repo_en_5.2.0_3.0_1700348149716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hf_repo_en_5.2.0_3.0_1700348149716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hinglish_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|245.9 MB|
+
+## References
+
+References
+
+https://huggingface.co/meghanabhange/Hinglish-DistilBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-humor_norwegian_humor_en.md b/docs/_posts/ahmedlone127/2023-11-18-humor_norwegian_humor_en.md
new file mode 100644
index 000000000000..349f9b2da7b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-humor_norwegian_humor_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English humor_norwegian_humor DistilBertForSequenceClassification from mohameddhiab
+author: John Snow Labs
+name: humor_norwegian_humor
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`humor_norwegian_humor` is a English model originally trained by mohameddhiab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/humor_norwegian_humor_en_5.2.0_3.0_1700338311817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/humor_norwegian_humor_en_5.2.0_3.0_1700338311817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|humor_norwegian_humor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/mohameddhiab/humor-no-humor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-hyperpartisan_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-hyperpartisan_classifier_en.md
new file mode 100644
index 000000000000..a949044467ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-hyperpartisan_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hyperpartisan_classifier DistilBertForSequenceClassification from alexgshaw
+author: John Snow Labs
+name: hyperpartisan_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hyperpartisan_classifier` is a English model originally trained by alexgshaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hyperpartisan_classifier_en_5.2.0_3.0_1700344814320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hyperpartisan_classifier_en_5.2.0_3.0_1700344814320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hyperpartisan_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/alexgshaw/hyperpartisan-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-imdb_urdusentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-imdb_urdusentiment_model_en.md
new file mode 100644
index 000000000000..d87c922b80c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-imdb_urdusentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English imdb_urdusentiment_model DistilBertForSequenceClassification from Sakil
+author: John Snow Labs
+name: imdb_urdusentiment_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_urdusentiment_model` is a English model originally trained by Sakil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_urdusentiment_model_en_5.2.0_3.0_1700350264433.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_urdusentiment_model_en_5.2.0_3.0_1700350264433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_urdusentiment_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sakil/IMDB_URDUSENTIMENT_MODEL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-imdbsentdistilbertmodel_en.md b/docs/_posts/ahmedlone127/2023-11-18-imdbsentdistilbertmodel_en.md
new file mode 100644
index 000000000000..823103ce36df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-imdbsentdistilbertmodel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English imdbsentdistilbertmodel DistilBertForSequenceClassification from Sakil
+author: John Snow Labs
+name: imdbsentdistilbertmodel
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbsentdistilbertmodel` is a English model originally trained by Sakil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbsentdistilbertmodel_en_5.2.0_3.0_1700348817593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbsentdistilbertmodel_en_5.2.0_3.0_1700348817593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdbsentdistilbertmodel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sakil/imdbsentdistilbertmodel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-inappropriate_text_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-inappropriate_text_classifier_en.md
new file mode 100644
index 000000000000..f1932df017b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-inappropriate_text_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English inappropriate_text_classifier DistilBertForSequenceClassification from michellejieli
+author: John Snow Labs
+name: inappropriate_text_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`inappropriate_text_classifier` is a English model originally trained by michellejieli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inappropriate_text_classifier_en_5.2.0_3.0_1700337871935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inappropriate_text_classifier_en_5.2.0_3.0_1700337871935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inappropriate_text_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/michellejieli/inappropriate_text_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-indo_specific_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-indo_specific_model_en.md
new file mode 100644
index 000000000000..8e29b4408ece
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-indo_specific_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English indo_specific_model DistilBertForSequenceClassification from mathildeparlo
+author: John Snow Labs
+name: indo_specific_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indo_specific_model` is a English model originally trained by mathildeparlo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indo_specific_model_en_5.2.0_3.0_1700342307794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indo_specific_model_en_5.2.0_3.0_1700342307794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indo_specific_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mathildeparlo/indo_specific_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-instagram_caption_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-instagram_caption_classifier_en.md
new file mode 100644
index 000000000000..db6a1d721608
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-instagram_caption_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English instagram_caption_classifier DistilBertForSequenceClassification from prakhars
+author: John Snow Labs
+name: instagram_caption_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`instagram_caption_classifier` is a English model originally trained by prakhars.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/instagram_caption_classifier_en_5.2.0_3.0_1700340903519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/instagram_caption_classifier_en_5.2.0_3.0_1700340903519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|instagram_caption_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/prakhars/instagram_caption_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-intent_classification_falconsai_en.md b/docs/_posts/ahmedlone127/2023-11-18-intent_classification_falconsai_en.md
new file mode 100644
index 000000000000..84862e357f62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-intent_classification_falconsai_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English intent_classification_falconsai DistilBertForSequenceClassification from Falconsai
+author: John Snow Labs
+name: intent_classification_falconsai
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classification_falconsai` is a English model originally trained by Falconsai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classification_falconsai_en_5.2.0_3.0_1700340100506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classification_falconsai_en_5.2.0_3.0_1700340100506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_classification_falconsai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Falconsai/intent_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-intent_classification_rowdy_store_en.md b/docs/_posts/ahmedlone127/2023-11-18-intent_classification_rowdy_store_en.md
new file mode 100644
index 000000000000..7e1fb33fcfa4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-intent_classification_rowdy_store_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English intent_classification_rowdy_store DistilBertForSequenceClassification from rowdy-store
+author: John Snow Labs
+name: intent_classification_rowdy_store
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classification_rowdy_store` is a English model originally trained by rowdy-store.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classification_rowdy_store_en_5.2.0_3.0_1700339637278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classification_rowdy_store_en_5.2.0_3.0_1700339637278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_classification_rowdy_store|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rowdy-store/intent-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-intent_classification_small_en.md b/docs/_posts/ahmedlone127/2023-11-18-intent_classification_small_en.md
new file mode 100644
index 000000000000..cce448d2fe1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-intent_classification_small_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English intent_classification_small DistilBertForSequenceClassification from dipesh
+author: John Snow Labs
+name: intent_classification_small
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classification_small` is a English model originally trained by dipesh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classification_small_en_5.2.0_3.0_1700343335579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classification_small_en_5.2.0_3.0_1700343335579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_classification_small|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.2 MB|
+
+## References
+
+https://huggingface.co/dipesh/Intent-Classification-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-intent_classifier_call_tonga_tonga_islands_action_en.md b/docs/_posts/ahmedlone127/2023-11-18-intent_classifier_call_tonga_tonga_islands_action_en.md
new file mode 100644
index 000000000000..f96836e3c3d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-intent_classifier_call_tonga_tonga_islands_action_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English intent_classifier_call_tonga_tonga_islands_action DistilBertForSequenceClassification from Zain6699
+author: John Snow Labs
+name: intent_classifier_call_tonga_tonga_islands_action
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classifier_call_tonga_tonga_islands_action` is a English model originally trained by Zain6699.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classifier_call_tonga_tonga_islands_action_en_5.2.0_3.0_1700339122211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classifier_call_tonga_tonga_islands_action_en_5.2.0_3.0_1700339122211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_classifier_call_tonga_tonga_islands_action|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Zain6699/intent-classifier-call_to_action
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-kodwo_finetuned_distilbert_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-kodwo_finetuned_distilbert_model_en.md
new file mode 100644
index 000000000000..634a1cffe5bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-kodwo_finetuned_distilbert_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English kodwo_finetuned_distilbert_model DistilBertForSequenceClassification from Kodwo11
+author: John Snow Labs
+name: kodwo_finetuned_distilbert_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kodwo_finetuned_distilbert_model` is a English model originally trained by Kodwo11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kodwo_finetuned_distilbert_model_en_5.2.0_3.0_1700343753824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kodwo_finetuned_distilbert_model_en_5.2.0_3.0_1700343753824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kodwo_finetuned_distilbert_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kodwo11/Kodwo-Finetuned-distilbert-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-lie_detection_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-18-lie_detection_distilbert_en.md
new file mode 100644
index 000000000000..59b20c624cdd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-lie_detection_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English lie_detection_distilbert DistilBertForSequenceClassification from dlentr
+author: John Snow Labs
+name: lie_detection_distilbert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lie_detection_distilbert` is a English model originally trained by dlentr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lie_detection_distilbert_en_5.2.0_3.0_1700339461246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lie_detection_distilbert_en_5.2.0_3.0_1700339461246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lie_detection_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/dlentr/lie_detection_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-lkd_3_classes_seed_16_en.md b/docs/_posts/ahmedlone127/2023-11-18-lkd_3_classes_seed_16_en.md
new file mode 100644
index 000000000000..529029d6bc5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-lkd_3_classes_seed_16_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English lkd_3_classes_seed_16 DistilBertForSequenceClassification from joshnielsen876
+author: John Snow Labs
+name: lkd_3_classes_seed_16
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lkd_3_classes_seed_16` is a English model originally trained by joshnielsen876.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_16_en_5.2.0_3.0_1700349870924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lkd_3_classes_seed_16_en_5.2.0_3.0_1700349870924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lkd_3_classes_seed_16|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/joshnielsen876/LKD_3_classes_seed_16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-mbti_classifier_nmcahill_en.md b/docs/_posts/ahmedlone127/2023-11-18-mbti_classifier_nmcahill_en.md
new file mode 100644
index 000000000000..b1b9c7d4812f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-mbti_classifier_nmcahill_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mbti_classifier_nmcahill DistilBertForSequenceClassification from nmcahill
+author: John Snow Labs
+name: mbti_classifier_nmcahill
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbti_classifier_nmcahill` is a English model originally trained by nmcahill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbti_classifier_nmcahill_en_5.2.0_3.0_1700342983135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbti_classifier_nmcahill_en_5.2.0_3.0_1700342983135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbti_classifier_nmcahill|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.2 MB|
+
+## References
+
+https://huggingface.co/nmcahill/mbti-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-med_nonmed_en.md b/docs/_posts/ahmedlone127/2023-11-18-med_nonmed_en.md
new file mode 100644
index 000000000000..f5774d69d6b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-med_nonmed_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English med_nonmed DistilBertForSequenceClassification from c-s-ale
+author: John Snow Labs
+name: med_nonmed
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`med_nonmed` is a English model originally trained by c-s-ale.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/med_nonmed_en_5.2.0_3.0_1700351144080.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/med_nonmed_en_5.2.0_3.0_1700351144080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|med_nonmed|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/c-s-ale/med_nonmed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-medium_article_titles_engagement_all_en.md b/docs/_posts/ahmedlone127/2023-11-18-medium_article_titles_engagement_all_en.md
new file mode 100644
index 000000000000..9745e5aca6e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-medium_article_titles_engagement_all_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English medium_article_titles_engagement_all DistilBertForSequenceClassification from dima806
+author: John Snow Labs
+name: medium_article_titles_engagement_all
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medium_article_titles_engagement_all` is a English model originally trained by dima806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medium_article_titles_engagement_all_en_5.2.0_3.0_1700345727589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medium_article_titles_engagement_all_en_5.2.0_3.0_1700345727589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medium_article_titles_engagement_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/dima806/medium-article-titles-engagement-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-meister_mindmap_model_pytorch_en.md b/docs/_posts/ahmedlone127/2023-11-18-meister_mindmap_model_pytorch_en.md
new file mode 100644
index 000000000000..41a19cae6110
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-meister_mindmap_model_pytorch_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English meister_mindmap_model_pytorch DistilBertForSequenceClassification from soymia
+author: John Snow Labs
+name: meister_mindmap_model_pytorch
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`meister_mindmap_model_pytorch` is a English model originally trained by soymia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/meister_mindmap_model_pytorch_en_5.2.0_3.0_1700349107025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/meister_mindmap_model_pytorch_en_5.2.0_3.0_1700349107025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|meister_mindmap_model_pytorch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/soymia/meister-mindmap-model-pytorch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-message_classification_question_other_smalltalk_modified_en.md b/docs/_posts/ahmedlone127/2023-11-18-message_classification_question_other_smalltalk_modified_en.md
new file mode 100644
index 000000000000..30d3e1497ab0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-message_classification_question_other_smalltalk_modified_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English message_classification_question_other_smalltalk_modified DistilBertForSequenceClassification from Wyona
+author: John Snow Labs
+name: message_classification_question_other_smalltalk_modified
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`message_classification_question_other_smalltalk_modified` is a English model originally trained by Wyona.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/message_classification_question_other_smalltalk_modified_en_5.2.0_3.0_1700347298258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/message_classification_question_other_smalltalk_modified_en_5.2.0_3.0_1700347298258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|message_classification_question_other_smalltalk_modified|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Wyona/message-classification-question-other-smalltalk-modified
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-message_intent_en.md b/docs/_posts/ahmedlone127/2023-11-18-message_intent_en.md
new file mode 100644
index 000000000000..ebb8d512bf98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-message_intent_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English message_intent DistilBertForSequenceClassification from Yanjie
+author: John Snow Labs
+name: message_intent
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`message_intent` is a English model originally trained by Yanjie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/message_intent_en_5.2.0_3.0_1700345107732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/message_intent_en_5.2.0_3.0_1700345107732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|message_intent|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Yanjie/message-intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-mgtdetectionmodel_en.md b/docs/_posts/ahmedlone127/2023-11-18-mgtdetectionmodel_en.md
new file mode 100644
index 000000000000..16c810df3ac4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-mgtdetectionmodel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mgtdetectionmodel DistilBertForSequenceClassification from huyen89
+author: John Snow Labs
+name: mgtdetectionmodel
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mgtdetectionmodel` is a English model originally trained by huyen89.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mgtdetectionmodel_en_5.2.0_3.0_1700342157392.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mgtdetectionmodel_en_5.2.0_3.0_1700342157392.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mgtdetectionmodel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/huyen89/MGTDetectionModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-mlops_demo_en.md b/docs/_posts/ahmedlone127/2023-11-18-mlops_demo_en.md
new file mode 100644
index 000000000000..f47166c3a86a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-mlops_demo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mlops_demo DistilBertForSequenceClassification from profoz
+author: John Snow Labs
+name: mlops_demo
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mlops_demo` is a English model originally trained by profoz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlops_demo_en_5.2.0_3.0_1700349890904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlops_demo_en_5.2.0_3.0_1700349890904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlops_demo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/profoz/mlops-demo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-multi_class_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-multi_class_classification_en.md
new file mode 100644
index 000000000000..1a244b74baf4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-multi_class_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English multi_class_classification DistilBertForSequenceClassification from autoevaluate
+author: John Snow Labs
+name: multi_class_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multi_class_classification` is a English model originally trained by autoevaluate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_class_classification_en_5.2.0_3.0_1700349263077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_class_classification_en_5.2.0_3.0_1700349263077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_class_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/autoevaluate/multi-class-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-natural_language_inference_autoevaluate_en.md b/docs/_posts/ahmedlone127/2023-11-18-natural_language_inference_autoevaluate_en.md
new file mode 100644
index 000000000000..ab9edb3f30e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-natural_language_inference_autoevaluate_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English natural_language_inference_autoevaluate DistilBertForSequenceClassification from autoevaluate
+author: John Snow Labs
+name: natural_language_inference_autoevaluate
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`natural_language_inference_autoevaluate` is a English model originally trained by autoevaluate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/natural_language_inference_autoevaluate_en_5.2.0_3.0_1700344168959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/natural_language_inference_autoevaluate_en_5.2.0_3.0_1700344168959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|natural_language_inference_autoevaluate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/autoevaluate/natural-language-inference
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-nepal_bhasa_text_classifications_en.md b/docs/_posts/ahmedlone127/2023-11-18-nepal_bhasa_text_classifications_en.md
new file mode 100644
index 000000000000..9310248952eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-nepal_bhasa_text_classifications_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nepal_bhasa_text_classifications DistilBertForSequenceClassification from rayschwartz
+author: John Snow Labs
+name: nepal_bhasa_text_classifications
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepal_bhasa_text_classifications` is a English model originally trained by rayschwartz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_text_classifications_en_5.2.0_3.0_1700347962472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_text_classifications_en_5.2.0_3.0_1700347962472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepal_bhasa_text_classifications|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rayschwartz/new-text-classifications
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-news_sentiment_distillbert_en.md b/docs/_posts/ahmedlone127/2023-11-18-news_sentiment_distillbert_en.md
new file mode 100644
index 000000000000..edfb10b194de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-news_sentiment_distillbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English news_sentiment_distillbert DistilBertForSequenceClassification from Harvinder6766
+author: John Snow Labs
+name: news_sentiment_distillbert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_sentiment_distillbert` is a English model originally trained by Harvinder6766.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_sentiment_distillbert_en_5.2.0_3.0_1700340870647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_sentiment_distillbert_en_5.2.0_3.0_1700340870647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_sentiment_distillbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Harvinder6766/news_sentiment_distillbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-news_sentiment_sentence_v1_en.md b/docs/_posts/ahmedlone127/2023-11-18-news_sentiment_sentence_v1_en.md
new file mode 100644
index 000000000000..a59166868d97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-news_sentiment_sentence_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English news_sentiment_sentence_v1 DistilBertForSequenceClassification from Harvinder6766
+author: John Snow Labs
+name: news_sentiment_sentence_v1
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_sentiment_sentence_v1` is a English model originally trained by Harvinder6766.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_sentiment_sentence_v1_en_5.2.0_3.0_1700341392770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_sentiment_sentence_v1_en_5.2.0_3.0_1700341392770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_sentiment_sentence_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Harvinder6766/news_sentiment_sentence_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-news_topic_classification_with_bert_en.md b/docs/_posts/ahmedlone127/2023-11-18-news_topic_classification_with_bert_en.md
new file mode 100644
index 000000000000..3d10ee3bd2f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-news_topic_classification_with_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English news_topic_classification_with_bert DistilBertForSequenceClassification from wesleyacheng
+author: John Snow Labs
+name: news_topic_classification_with_bert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_topic_classification_with_bert` is a English model originally trained by wesleyacheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_topic_classification_with_bert_en_5.2.0_3.0_1700339800237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_topic_classification_with_bert_en_5.2.0_3.0_1700339800237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_topic_classification_with_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wesleyacheng/news-topic-classification-with-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-nigerian_pidgin_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-nigerian_pidgin_model_en.md
new file mode 100644
index 000000000000..fe92feeb4abe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-nigerian_pidgin_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nigerian_pidgin_model DistilBertForSequenceClassification from RonTuretzky
+author: John Snow Labs
+name: nigerian_pidgin_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nigerian_pidgin_model` is a English model originally trained by RonTuretzky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nigerian_pidgin_model_en_5.2.0_3.0_1700350508410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nigerian_pidgin_model_en_5.2.0_3.0_1700350508410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nigerian_pidgin_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RonTuretzky/pcm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-nsfw_prompt_detector_en.md b/docs/_posts/ahmedlone127/2023-11-18-nsfw_prompt_detector_en.md
new file mode 100644
index 000000000000..e9923d695cd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-nsfw_prompt_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nsfw_prompt_detector DistilBertForSequenceClassification from Zlatislav
+author: John Snow Labs
+name: nsfw_prompt_detector
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nsfw_prompt_detector` is a English model originally trained by Zlatislav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nsfw_prompt_detector_en_5.2.0_3.0_1700340548921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nsfw_prompt_detector_en_5.2.0_3.0_1700340548921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nsfw_prompt_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Zlatislav/NSFW-Prompt-Detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-nsfw_text_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-nsfw_text_classifier_en.md
new file mode 100644
index 000000000000..88a5e6cd759d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-nsfw_text_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nsfw_text_classifier DistilBertForSequenceClassification from michellejieli
+author: John Snow Labs
+name: nsfw_text_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nsfw_text_classifier` is a English model originally trained by michellejieli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nsfw_text_classifier_en_5.2.0_3.0_1700339109622.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nsfw_text_classifier_en_5.2.0_3.0_1700339109622.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nsfw_text_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/michellejieli/NSFW_text_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-offensive_speech_detection_en.md b/docs/_posts/ahmedlone127/2023-11-18-offensive_speech_detection_en.md
new file mode 100644
index 000000000000..fd2c903606ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-offensive_speech_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English offensive_speech_detection DistilBertForSequenceClassification from Falconsai
+author: John Snow Labs
+name: offensive_speech_detection
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`offensive_speech_detection` is a English model originally trained by Falconsai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/offensive_speech_detection_en_5.2.0_3.0_1700340396073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/offensive_speech_detection_en_5.2.0_3.0_1700340396073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|offensive_speech_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Falconsai/offensive_speech_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-patronizing_detection_en.md b/docs/_posts/ahmedlone127/2023-11-18-patronizing_detection_en.md
new file mode 100644
index 000000000000..0c2ea8cb8680
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-patronizing_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English patronizing_detection DistilBertForSequenceClassification from achyut
+author: John Snow Labs
+name: patronizing_detection
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`patronizing_detection` is a English model originally trained by achyut.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/patronizing_detection_en_5.2.0_3.0_1700351620421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/patronizing_detection_en_5.2.0_3.0_1700351620421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|patronizing_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/achyut/patronizing_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-pengmengjie_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-18-pengmengjie_finetuned_emotion_en.md
new file mode 100644
index 000000000000..0295b0ccfeea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-pengmengjie_finetuned_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pengmengjie_finetuned_emotion DistilBertForSequenceClassification from ASCCCCCCCC
+author: John Snow Labs
+name: pengmengjie_finetuned_emotion
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pengmengjie_finetuned_emotion` is a English model originally trained by ASCCCCCCCC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pengmengjie_finetuned_emotion_en_5.2.0_3.0_1700351462868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pengmengjie_finetuned_emotion_en_5.2.0_3.0_1700351462868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pengmengjie_finetuned_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ASCCCCCCCC/PENGMENGJIE-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-phishing_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-18-phishing_distilbert_en.md
new file mode 100644
index 000000000000..b7221cd80840
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-phishing_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English phishing_distilbert DistilBertForSequenceClassification from foghlaimeoir
+author: John Snow Labs
+name: phishing_distilbert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phishing_distilbert` is a English model originally trained by foghlaimeoir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phishing_distilbert_en_5.2.0_3.0_1700342475896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phishing_distilbert_en_5.2.0_3.0_1700342475896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phishing_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/foghlaimeoir/phishing-DistilBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-phishing_email_detection_en.md b/docs/_posts/ahmedlone127/2023-11-18-phishing_email_detection_en.md
new file mode 100644
index 000000000000..c046bd237316
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-phishing_email_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English phishing_email_detection DistilBertForSequenceClassification from dima806
+author: John Snow Labs
+name: phishing_email_detection
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phishing_email_detection` is a English model originally trained by dima806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phishing_email_detection_en_5.2.0_3.0_1700339993302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phishing_email_detection_en_5.2.0_3.0_1700339993302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phishing_email_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/dima806/phishing-email-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-poem_labeler_en.md b/docs/_posts/ahmedlone127/2023-11-18-poem_labeler_en.md
new file mode 100644
index 000000000000..ef0381d7985e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-poem_labeler_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English poem_labeler DistilBertForSequenceClassification from jgeselowitz
+author: John Snow Labs
+name: poem_labeler
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`poem_labeler` is a English model originally trained by jgeselowitz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/poem_labeler_en_5.2.0_3.0_1700342004311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/poem_labeler_en_5.2.0_3.0_1700342004311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|poem_labeler|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jgeselowitz/poem_labeler
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-product_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-product_classifier_en.md
new file mode 100644
index 000000000000..560a530f0b97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-product_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English product_classifier DistilBertForSequenceClassification from cnicu
+author: John Snow Labs
+name: product_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`product_classifier` is a English model originally trained by cnicu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/product_classifier_en_5.2.0_3.0_1700338940109.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/product_classifier_en_5.2.0_3.0_1700338940109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|product_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cnicu/product_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-psychiq2_en.md b/docs/_posts/ahmedlone127/2023-11-18-psychiq2_en.md
new file mode 100644
index 000000000000..f7d4b87913ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-psychiq2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English psychiq2 DistilBertForSequenceClassification from derenrich
+author: John Snow Labs
+name: psychiq2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`psychiq2` is a English model originally trained by derenrich.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/psychiq2_en_5.2.0_3.0_1700338486891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/psychiq2_en_5.2.0_3.0_1700338486891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ptbr_news_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jmbrito/ptbr-news-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-quora_helpful_answers_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-quora_helpful_answers_classifier_en.md
new file mode 100644
index 000000000000..378d1fab51e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-quora_helpful_answers_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English quora_helpful_answers_classifier DistilBertForSequenceClassification from Radella
+author: John Snow Labs
+name: quora_helpful_answers_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quora_helpful_answers_classifier` is a English model originally trained by Radella.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quora_helpful_answers_classifier_en_5.2.0_3.0_1700346083400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quora_helpful_answers_classifier_en_5.2.0_3.0_1700346083400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quora_helpful_answers_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Radella/quora_helpful_answers_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-rea_genderidentification_v1_en.md b/docs/_posts/ahmedlone127/2023-11-18-rea_genderidentification_v1_en.md
new file mode 100644
index 000000000000..4ae06258c818
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-rea_genderidentification_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rea_genderidentification_v1 DistilBertForSequenceClassification from malcolm
+author: John Snow Labs
+name: rea_genderidentification_v1
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rea_genderidentification_v1` is a English model originally trained by malcolm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rea_genderidentification_v1_en_5.2.0_3.0_1700342807827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rea_genderidentification_v1_en_5.2.0_3.0_1700342807827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rea_genderidentification_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/malcolm/REA_GenderIdentification_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-refutation_detector_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-18-refutation_detector_distilbert_en.md
new file mode 100644
index 000000000000..619437ff459c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-refutation_detector_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English refutation_detector_distilbert DistilBertForSequenceClassification from leondz
+author: John Snow Labs
+name: refutation_detector_distilbert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`refutation_detector_distilbert` is a English model originally trained by leondz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/refutation_detector_distilbert_en_5.2.0_3.0_1700340710799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/refutation_detector_distilbert_en_5.2.0_3.0_1700340710799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|refutation_detector_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/leondz/refutation_detector_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-results_iameberedavid_en.md b/docs/_posts/ahmedlone127/2023-11-18-results_iameberedavid_en.md
new file mode 100644
index 000000000000..a86b4f43091e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-results_iameberedavid_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English results_iameberedavid DistilBertForSequenceClassification from iameberedavid
+author: John Snow Labs
+name: results_iameberedavid
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_iameberedavid` is a English model originally trained by iameberedavid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_iameberedavid_en_5.2.0_3.0_1700346883067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_iameberedavid_en_5.2.0_3.0_1700346883067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_iameberedavid|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/iameberedavid/results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-reviews_sentiment_analysis_juliensimon_en.md b/docs/_posts/ahmedlone127/2023-11-18-reviews_sentiment_analysis_juliensimon_en.md
new file mode 100644
index 000000000000..eb88a903c676
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-reviews_sentiment_analysis_juliensimon_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English reviews_sentiment_analysis_juliensimon DistilBertForSequenceClassification from juliensimon
+author: John Snow Labs
+name: reviews_sentiment_analysis_juliensimon
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reviews_sentiment_analysis_juliensimon` is a English model originally trained by juliensimon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reviews_sentiment_analysis_juliensimon_en_5.2.0_3.0_1700338872781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reviews_sentiment_analysis_juliensimon_en_5.2.0_3.0_1700338872781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reviews_sentiment_analysis_juliensimon|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/juliensimon/reviews-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-reviews_sentiment_analysis_mmcquade11_en.md b/docs/_posts/ahmedlone127/2023-11-18-reviews_sentiment_analysis_mmcquade11_en.md
new file mode 100644
index 000000000000..25ae7fb82aca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-reviews_sentiment_analysis_mmcquade11_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English reviews_sentiment_analysis_mmcquade11 DistilBertForSequenceClassification from mmcquade11
+author: John Snow Labs
+name: reviews_sentiment_analysis_mmcquade11
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reviews_sentiment_analysis_mmcquade11` is a English model originally trained by mmcquade11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reviews_sentiment_analysis_mmcquade11_en_5.2.0_3.0_1700348335313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reviews_sentiment_analysis_mmcquade11_en_5.2.0_3.0_1700348335313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reviews_sentiment_analysis_mmcquade11|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mmcquade11/reviews-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-reviews_sentiment_analysis_two_en.md b/docs/_posts/ahmedlone127/2023-11-18-reviews_sentiment_analysis_two_en.md
new file mode 100644
index 000000000000..a88402cb8272
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-reviews_sentiment_analysis_two_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English reviews_sentiment_analysis_two DistilBertForSequenceClassification from mmcquade11
+author: John Snow Labs
+name: reviews_sentiment_analysis_two
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reviews_sentiment_analysis_two` is a English model originally trained by mmcquade11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reviews_sentiment_analysis_two_en_5.2.0_3.0_1700344708734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reviews_sentiment_analysis_two_en_5.2.0_3.0_1700344708734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reviews_sentiment_analysis_two|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/mmcquade11/reviews-sentiment-analysis-two
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sagemaker_distilbert_emotion_javibj_en.md b/docs/_posts/ahmedlone127/2023-11-18-sagemaker_distilbert_emotion_javibj_en.md
new file mode 100644
index 000000000000..0ac2793239ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sagemaker_distilbert_emotion_javibj_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sagemaker_distilbert_emotion_javibj DistilBertForSequenceClassification from JaviBJ
+author: John Snow Labs
+name: sagemaker_distilbert_emotion_javibj
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sagemaker_distilbert_emotion_javibj` is a English model originally trained by JaviBJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_javibj_en_5.2.0_3.0_1700350384161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_javibj_en_5.2.0_3.0_1700350384161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sagemaker_distilbert_emotion_javibj|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JaviBJ/sagemaker-distilbert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sarcasm_model_zykrr_en.md b/docs/_posts/ahmedlone127/2023-11-18-sarcasm_model_zykrr_en.md
new file mode 100644
index 000000000000..0ea3bf86b2bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sarcasm_model_zykrr_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sarcasm_model_zykrr DistilBertForSequenceClassification from zykrr
+author: John Snow Labs
+name: sarcasm_model_zykrr
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sarcasm_model_zykrr` is a English model originally trained by zykrr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarcasm_model_zykrr_en_5.2.0_3.0_1700341503883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarcasm_model_zykrr_en_5.2.0_3.0_1700341503883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sarcasm_model_zykrr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/zykrr/sarcasm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-scan_u_doc_bool_question_en.md b/docs/_posts/ahmedlone127/2023-11-18-scan_u_doc_bool_question_en.md
new file mode 100644
index 000000000000..067ae3fe4b3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-scan_u_doc_bool_question_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English scan_u_doc_bool_question DistilBertForSequenceClassification from roaltopo
+author: John Snow Labs
+name: scan_u_doc_bool_question
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scan_u_doc_bool_question` is a English model originally trained by roaltopo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scan_u_doc_bool_question_en_5.2.0_3.0_1700340272990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scan_u_doc_bool_question_en_5.2.0_3.0_1700340272990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_analysis_cvs|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/Softechlb/Sent_analysis_CVs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sentence_level_stereotype_detector_en.md b/docs/_posts/ahmedlone127/2023-11-18-sentence_level_stereotype_detector_en.md
new file mode 100644
index 000000000000..52ce22d01cf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sentence_level_stereotype_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentence_level_stereotype_detector DistilBertForSequenceClassification from wu981526092
+author: John Snow Labs
+name: sentence_level_stereotype_detector
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_level_stereotype_detector` is a English model originally trained by wu981526092.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_level_stereotype_detector_en_5.2.0_3.0_1700342331802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_level_stereotype_detector_en_5.2.0_3.0_1700342331802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentence_level_stereotype_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wu981526092/Sentence-Level-Stereotype-Detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_generic_dataset_seethal_en.md b/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_generic_dataset_seethal_en.md
new file mode 100644
index 000000000000..75897fa02eb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_generic_dataset_seethal_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_generic_dataset_seethal DistilBertForSequenceClassification from Seethal
+author: John Snow Labs
+name: sentiment_analysis_generic_dataset_seethal
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_generic_dataset_seethal` is a English model originally trained by Seethal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_generic_dataset_seethal_en_5.2.0_3.0_1700337790087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_generic_dataset_seethal_en_5.2.0_3.0_1700337790087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_generic_dataset_seethal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Seethal/sentiment_analysis_generic_dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_model_for_socialmedia_en.md b/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_model_for_socialmedia_en.md
new file mode 100644
index 000000000000..a5402220d98c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_model_for_socialmedia_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_model_for_socialmedia DistilBertForSequenceClassification from Remicm
+author: John Snow Labs
+name: sentiment_analysis_model_for_socialmedia
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_for_socialmedia` is a English model originally trained by Remicm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_for_socialmedia_en_5.2.0_3.0_1700339631163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_for_socialmedia_en_5.2.0_3.0_1700339631163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_model_for_socialmedia|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Remicm/sentiment-analysis-model-for-socialmedia
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_model_sbcbi_en.md b/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_model_sbcbi_en.md
new file mode 100644
index 000000000000..92df232b43d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_model_sbcbi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_model_sbcbi DistilBertForSequenceClassification from sbcBI
+author: John Snow Labs
+name: sentiment_analysis_model_sbcbi
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_sbcbi` is a English model originally trained by sbcBI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_sbcbi_en_5.2.0_3.0_1700337168046.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_sbcbi_en_5.2.0_3.0_1700337168046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_model_sbcbi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sbcBI/sentiment_analysis_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_using_bert_with_10000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_using_bert_with_10000_samples_en.md
new file mode 100644
index 000000000000..5f49b8adfb4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_using_bert_with_10000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_using_bert_with_10000_samples DistilBertForSequenceClassification from Satyajithchary
+author: John Snow Labs
+name: sentiment_analysis_using_bert_with_10000_samples
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_using_bert_with_10000_samples` is a English model originally trained by Satyajithchary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_using_bert_with_10000_samples_en_5.2.0_3.0_1700351244638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_using_bert_with_10000_samples_en_5.2.0_3.0_1700351244638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_using_bert_with_10000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Satyajithchary/Sentiment_Analysis_using_BERT_With_10000_Samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_xaqren_en.md b/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_xaqren_en.md
new file mode 100644
index 000000000000..4d81d78b7276
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sentiment_analysis_xaqren_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_xaqren DistilBertForSequenceClassification from xaqren
+author: John Snow Labs
+name: sentiment_analysis_xaqren
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_xaqren` is a English model originally trained by xaqren.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_xaqren_en_5.2.0_3.0_1700343671268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_xaqren_en_5.2.0_3.0_1700343671268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_xaqren|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/xaqren/sentiment_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sentiment_model_finetuning_using_steam_data_en.md b/docs/_posts/ahmedlone127/2023-11-18-sentiment_model_finetuning_using_steam_data_en.md
new file mode 100644
index 000000000000..fd5ddf281105
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sentiment_model_finetuning_using_steam_data_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_model_finetuning_using_steam_data DistilBertForSequenceClassification from PJHinAI
+author: John Snow Labs
+name: sentiment_model_finetuning_using_steam_data
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_finetuning_using_steam_data` is a English model originally trained by PJHinAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_finetuning_using_steam_data_en_5.2.0_3.0_1700343528823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_finetuning_using_steam_data_en_5.2.0_3.0_1700343528823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_model_finetuning_using_steam_data|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/PJHinAI/sentiment-model-finetuning-using-steam-data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sentiment_model_zykrr_en.md b/docs/_posts/ahmedlone127/2023-11-18-sentiment_model_zykrr_en.md
new file mode 100644
index 000000000000..71499a946d7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sentiment_model_zykrr_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_model_zykrr DistilBertForSequenceClassification from zykrr
+author: John Snow Labs
+name: sentiment_model_zykrr
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_zykrr` is a English model originally trained by zykrr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_zykrr_en_5.2.0_3.0_1700341353745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_zykrr_en_5.2.0_3.0_1700341353745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_model_zykrr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/zykrr/sentiment_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sentimental_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-18-sentimental_analysis_en.md
new file mode 100644
index 000000000000..e4cb612bc134
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sentimental_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentimental_analysis DistilBertForSequenceClassification from Dmyadav2001
+author: John Snow Labs
+name: sentimental_analysis
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentimental_analysis` is a English model originally trained by Dmyadav2001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentimental_analysis_en_5.2.0_3.0_1700341205504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentimental_analysis_en_5.2.0_3.0_1700341205504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentimental_analysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Dmyadav2001/Sentimental-Analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sentimentclassifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-sentimentclassifier_en.md
new file mode 100644
index 000000000000..337ab8587f5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sentimentclassifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentimentclassifier DistilBertForSequenceClassification from BaxterAI
+author: John Snow Labs
+name: sentimentclassifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentimentclassifier` is a English model originally trained by BaxterAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentimentclassifier_en_5.2.0_3.0_1700351311819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentimentclassifier_en_5.2.0_3.0_1700351311819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentimentclassifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/BaxterAI/SentimentClassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-shakespeare_classifier_model_en.md b/docs/_posts/ahmedlone127/2023-11-18-shakespeare_classifier_model_en.md
new file mode 100644
index 000000000000..2f7b338d0d37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-shakespeare_classifier_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English shakespeare_classifier_model DistilBertForSequenceClassification from notaphoenix
+author: John Snow Labs
+name: shakespeare_classifier_model
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`shakespeare_classifier_model` is a English model originally trained by notaphoenix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/shakespeare_classifier_model_en_5.2.0_3.0_1700347163676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/shakespeare_classifier_model_en_5.2.0_3.0_1700347163676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|shakespeare_classifier_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/notaphoenix/shakespeare_classifier_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-skills_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-skills_classifier_en.md
new file mode 100644
index 000000000000..6605ae757a12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-skills_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English skills_classifier DistilBertForSequenceClassification from tkuye
+author: John Snow Labs
+name: skills_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`skills_classifier` is a English model originally trained by tkuye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/skills_classifier_en_5.2.0_3.0_1700340394699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/skills_classifier_en_5.2.0_3.0_1700340394699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|skills_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tkuye/skills-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-skills_description_big_en.md b/docs/_posts/ahmedlone127/2023-11-18-skills_description_big_en.md
new file mode 100644
index 000000000000..fcfda73e5260
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-skills_description_big_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English skills_description_big DistilBertForSequenceClassification from joblift-julian
+author: John Snow Labs
+name: skills_description_big
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`skills_description_big` is a English model originally trained by joblift-julian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/skills_description_big_en_5.2.0_3.0_1700350810439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/skills_description_big_en_5.2.0_3.0_1700350810439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|skills_description_big|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/joblift-julian/skills_description_big
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-skills_trainer_en.md b/docs/_posts/ahmedlone127/2023-11-18-skills_trainer_en.md
new file mode 100644
index 000000000000..3f104cb1e11b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-skills_trainer_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English skills_trainer DistilBertForSequenceClassification from bkane2
+author: John Snow Labs
+name: skills_trainer
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`skills_trainer` is a English model originally trained by bkane2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/skills_trainer_en_5.2.0_3.0_1700344265535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/skills_trainer_en_5.2.0_3.0_1700344265535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|skills_trainer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bkane2/skills-trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-slurp_intent_baseline_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-18-slurp_intent_baseline_distilbert_base_uncased_en.md
new file mode 100644
index 000000000000..e895811ced12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-slurp_intent_baseline_distilbert_base_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English slurp_intent_baseline_distilbert_base_uncased DistilBertForSequenceClassification from sankar1535
+author: John Snow Labs
+name: slurp_intent_baseline_distilbert_base_uncased
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`slurp_intent_baseline_distilbert_base_uncased` is a English model originally trained by sankar1535.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/slurp_intent_baseline_distilbert_base_uncased_en_5.2.0_3.0_1700347487030.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/slurp_intent_baseline_distilbert_base_uncased_en_5.2.0_3.0_1700347487030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|slurp_intent_baseline_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/sankar1535/slurp-intent_baseline-distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-sms_spam_classification_with_bert_en.md b/docs/_posts/ahmedlone127/2023-11-18-sms_spam_classification_with_bert_en.md
new file mode 100644
index 000000000000..f23ba811a149
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-sms_spam_classification_with_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sms_spam_classification_with_bert DistilBertForSequenceClassification from wesleyacheng
+author: John Snow Labs
+name: sms_spam_classification_with_bert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sms_spam_classification_with_bert` is a English model originally trained by wesleyacheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sms_spam_classification_with_bert_en_5.2.0_3.0_1700339863289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sms_spam_classification_with_bert_en_5.2.0_3.0_1700339863289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sms_spam_classification_with_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wesleyacheng/sms-spam-classification-with-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-snli_distilbert_base_cased_en.md b/docs/_posts/ahmedlone127/2023-11-18-snli_distilbert_base_cased_en.md
new file mode 100644
index 000000000000..5623a7cedf69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-snli_distilbert_base_cased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English snli_distilbert_base_cased DistilBertForSequenceClassification from boychaboy
+author: John Snow Labs
+name: snli_distilbert_base_cased
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`snli_distilbert_base_cased` is a English model originally trained by boychaboy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/snli_distilbert_base_cased_en_5.2.0_3.0_1700346627588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/snli_distilbert_base_cased_en_5.2.0_3.0_1700346627588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|snli_distilbert_base_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/boychaboy/SNLI_distilbert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-spam_classifier_skandavivek2_en.md b/docs/_posts/ahmedlone127/2023-11-18-spam_classifier_skandavivek2_en.md
new file mode 100644
index 000000000000..40eaad0075eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-spam_classifier_skandavivek2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English spam_classifier_skandavivek2 DistilBertForSequenceClassification from skandavivek2
+author: John Snow Labs
+name: spam_classifier_skandavivek2
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spam_classifier_skandavivek2` is a English model originally trained by skandavivek2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spam_classifier_skandavivek2_en_5.2.0_3.0_1700341017147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spam_classifier_skandavivek2_en_5.2.0_3.0_1700341017147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spam_classifier_skandavivek2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/skandavivek2/spam-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-spam_message_classification_bw7898_en.md b/docs/_posts/ahmedlone127/2023-11-18-spam_message_classification_bw7898_en.md
new file mode 100644
index 000000000000..d4b1d923a9b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-spam_message_classification_bw7898_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English spam_message_classification_bw7898 DistilBertForSequenceClassification from BW7898
+author: John Snow Labs
+name: spam_message_classification_bw7898
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spam_message_classification_bw7898` is a English model originally trained by BW7898.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spam_message_classification_bw7898_en_5.2.0_3.0_1700344105211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spam_message_classification_bw7898_en_5.2.0_3.0_1700344105211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spam_message_classification_bw7898|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/BW7898/spam_message_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-stock_news_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-18-stock_news_distilbert_en.md
new file mode 100644
index 000000000000..ed70dfba99fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-stock_news_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English stock_news_distilbert DistilBertForSequenceClassification from KernAI
+author: John Snow Labs
+name: stock_news_distilbert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stock_news_distilbert` is a English model originally trained by KernAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stock_news_distilbert_en_5.2.0_3.0_1700339798974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stock_news_distilbert_en_5.2.0_3.0_1700339798974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stock_news_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/KernAI/stock-news-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-subreddit_predictor_en.md b/docs/_posts/ahmedlone127/2023-11-18-subreddit_predictor_en.md
new file mode 100644
index 000000000000..6771cc13463a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-subreddit_predictor_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English subreddit_predictor DistilBertForSequenceClassification from daspartho
+author: John Snow Labs
+name: subreddit_predictor
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`subreddit_predictor` is a English model originally trained by daspartho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/subreddit_predictor_en_5.2.0_3.0_1700347340487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/subreddit_predictor_en_5.2.0_3.0_1700347340487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|subreddit_predictor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.2 MB|
+
+## References
+
+https://huggingface.co/daspartho/subreddit-predictor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-symptom2disease_en.md b/docs/_posts/ahmedlone127/2023-11-18-symptom2disease_en.md
new file mode 100644
index 000000000000..298e02a49af4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-symptom2disease_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English symptom2disease DistilBertForSequenceClassification from alibidaran
+author: John Snow Labs
+name: symptom2disease
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`symptom2disease` is a English model originally trained by alibidaran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/symptom2disease_en_5.2.0_3.0_1700339459054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/symptom2disease_en_5.2.0_3.0_1700339459054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|symptom2disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/alibidaran/Symptom2disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-tamil_sentiment_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-18-tamil_sentiment_distilbert_en.md
new file mode 100644
index 000000000000..20d15ed40b51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-tamil_sentiment_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tamil_sentiment_distilbert DistilBertForSequenceClassification from Vasanth
+author: John Snow Labs
+name: tamil_sentiment_distilbert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tamil_sentiment_distilbert` is a English model originally trained by Vasanth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tamil_sentiment_distilbert_en_5.2.0_3.0_1700348660934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tamil_sentiment_distilbert_en_5.2.0_3.0_1700348660934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tamil_sentiment_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/Vasanth/tamil-sentiment-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-taser_en.md b/docs/_posts/ahmedlone127/2023-11-18-taser_en.md
new file mode 100644
index 000000000000..446968edde21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-taser_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English taser DistilBertForSequenceClassification from dwsunimannheim
+author: John Snow Labs
+name: taser
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taser` is a English model originally trained by dwsunimannheim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taser_en_5.2.0_3.0_1700345609626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taser_en_5.2.0_3.0_1700345609626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|telugu_sentiment_movie|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|te|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sanath369/Telugu_sentiment_movie
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-testpytorchclassification_en.md b/docs/_posts/ahmedlone127/2023-11-18-testpytorchclassification_en.md
new file mode 100644
index 000000000000..b987c41520c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-testpytorchclassification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English testpytorchclassification DistilBertForSequenceClassification from Andranik
+author: John Snow Labs
+name: testpytorchclassification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testpytorchclassification` is a English model originally trained by Andranik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testpytorchclassification_en_5.2.0_3.0_1700350114443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testpytorchclassification_en_5.2.0_3.0_1700350114443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testpytorchclassification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Andranik/TestPytorchClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-text_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-18-text_analysis_en.md
new file mode 100644
index 000000000000..6736feedc0f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-text_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English text_analysis DistilBertForSequenceClassification from abcdda
+author: John Snow Labs
+name: text_analysis
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_analysis` is a English model originally trained by abcdda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_analysis_en_5.2.0_3.0_1700351685769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_analysis_en_5.2.0_3.0_1700351685769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_analysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/abcdda/text_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-text_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-18-text_emotion_en.md
new file mode 100644
index 000000000000..5b3b9980a649
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-text_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English text_emotion DistilBertForSequenceClassification from daspartho
+author: John Snow Labs
+name: text_emotion
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_emotion` is a English model originally trained by daspartho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_emotion_en_5.2.0_3.0_1700348513255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_emotion_en_5.2.0_3.0_1700348513255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/daspartho/text-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-tiny_classification_fast_6_en.md b/docs/_posts/ahmedlone127/2023-11-18-tiny_classification_fast_6_en.md
new file mode 100644
index 000000000000..22de26d4189b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-tiny_classification_fast_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tiny_classification_fast_6 DistilBertForSequenceClassification from Elytum
+author: John Snow Labs
+name: tiny_classification_fast_6
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_classification_fast_6` is a English model originally trained by Elytum.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_classification_fast_6_en_5.2.0_3.0_1700343511592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_classification_fast_6_en_5.2.0_3.0_1700343511592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_classification_fast_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Elytum/tiny-classification-fast-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-tiny_distilbert_classification_philschmid_en.md b/docs/_posts/ahmedlone127/2023-11-18-tiny_distilbert_classification_philschmid_en.md
new file mode 100644
index 000000000000..79adf9bea3be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-tiny_distilbert_classification_philschmid_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tiny_distilbert_classification_philschmid DistilBertForSequenceClassification from philschmid
+author: John Snow Labs
+name: tiny_distilbert_classification_philschmid
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_distilbert_classification_philschmid` is a English model originally trained by philschmid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_distilbert_classification_philschmid_en_5.2.0_3.0_1700340452025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_distilbert_classification_philschmid_en_5.2.0_3.0_1700340452025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_distilbert_classification_philschmid|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|552.8 KB|
+
+## References
+
+https://huggingface.co/philschmid/tiny-distilbert-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-tiny_distilbert_classification_sgugger_en.md b/docs/_posts/ahmedlone127/2023-11-18-tiny_distilbert_classification_sgugger_en.md
new file mode 100644
index 000000000000..bc57312e53dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-tiny_distilbert_classification_sgugger_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tiny_distilbert_classification_sgugger DistilBertForSequenceClassification from sgugger
+author: John Snow Labs
+name: tiny_distilbert_classification_sgugger
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_distilbert_classification_sgugger` is a English model originally trained by sgugger.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_distilbert_classification_sgugger_en_5.2.0_3.0_1700338292646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_distilbert_classification_sgugger_en_5.2.0_3.0_1700338292646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_distilbert_classification_sgugger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|552.8 KB|
+
+## References
+
+https://huggingface.co/sgugger/tiny-distilbert-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-tiny_distilbert_sequence_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-tiny_distilbert_sequence_classification_en.md
new file mode 100644
index 000000000000..2611f763dd10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-tiny_distilbert_sequence_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tiny_distilbert_sequence_classification DistilBertForSequenceClassification from Narsil
+author: John Snow Labs
+name: tiny_distilbert_sequence_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_distilbert_sequence_classification` is a English model originally trained by Narsil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_distilbert_sequence_classification_en_5.2.0_3.0_1700348619335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_distilbert_sequence_classification_en_5.2.0_3.0_1700348619335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_distilbert_sequence_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|220.1 KB|
+
+## References
+
+https://huggingface.co/Narsil/tiny-distilbert-sequence-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-tiny_random_distilbert_hf_internal_testing_en.md b/docs/_posts/ahmedlone127/2023-11-18-tiny_random_distilbert_hf_internal_testing_en.md
new file mode 100644
index 000000000000..530e30cdb40d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-tiny_random_distilbert_hf_internal_testing_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tiny_random_distilbert_hf_internal_testing DistilBertForSequenceClassification from hf-internal-testing
+author: John Snow Labs
+name: tiny_random_distilbert_hf_internal_testing
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_random_distilbert_hf_internal_testing` is a English model originally trained by hf-internal-testing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_distilbert_hf_internal_testing_en_5.2.0_3.0_1700337036515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_distilbert_hf_internal_testing_en_5.2.0_3.0_1700337036515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_distilbert_hf_internal_testing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|351.4 KB|
+
+## References
+
+https://huggingface.co/hf-internal-testing/tiny-random-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-tiny_random_distilbertforsequenceclassification_hf_internal_testing_en.md b/docs/_posts/ahmedlone127/2023-11-18-tiny_random_distilbertforsequenceclassification_hf_internal_testing_en.md
new file mode 100644
index 000000000000..3385bae47e06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-tiny_random_distilbertforsequenceclassification_hf_internal_testing_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tiny_random_distilbertforsequenceclassification_hf_internal_testing DistilBertForSequenceClassification from hf-internal-testing
+author: John Snow Labs
+name: tiny_random_distilbertforsequenceclassification_hf_internal_testing
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_random_distilbertforsequenceclassification_hf_internal_testing` is a English model originally trained by hf-internal-testing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_distilbertforsequenceclassification_hf_internal_testing_en_5.2.0_3.0_1700338654216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_distilbertforsequenceclassification_hf_internal_testing_en_5.2.0_3.0_1700338654216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_distilbertforsequenceclassification_hf_internal_testing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|351.3 KB|
+
+## References
+
+https://huggingface.co/hf-internal-testing/tiny-random-DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-tiny_random_distilbertforsequenceclassification_hf_tiny_model_private_en.md b/docs/_posts/ahmedlone127/2023-11-18-tiny_random_distilbertforsequenceclassification_hf_tiny_model_private_en.md
new file mode 100644
index 000000000000..20b1fd3f1531
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-tiny_random_distilbertforsequenceclassification_hf_tiny_model_private_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tiny_random_distilbertforsequenceclassification_hf_tiny_model_private DistilBertForSequenceClassification from hf-tiny-model-private
+author: John Snow Labs
+name: tiny_random_distilbertforsequenceclassification_hf_tiny_model_private
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_random_distilbertforsequenceclassification_hf_tiny_model_private` is a English model originally trained by hf-tiny-model-private.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_distilbertforsequenceclassification_hf_tiny_model_private_en_5.2.0_3.0_1700347755173.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_distilbertforsequenceclassification_hf_tiny_model_private_en_5.2.0_3.0_1700347755173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_distilbertforsequenceclassification_hf_tiny_model_private|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|351.3 KB|
+
+## References
+
+https://huggingface.co/hf-tiny-model-private/tiny-random-DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-tonality_sree2910_en.md b/docs/_posts/ahmedlone127/2023-11-18-tonality_sree2910_en.md
new file mode 100644
index 000000000000..fa84df26d24f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-tonality_sree2910_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tonality_sree2910 DistilBertForSequenceClassification from sree2910
+author: John Snow Labs
+name: tonality_sree2910
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tonality_sree2910` is a English model originally trained by sree2910.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tonality_sree2910_en_5.2.0_3.0_1700350394820.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tonality_sree2910_en_5.2.0_3.0_1700350394820.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tonality_sree2910|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/sree2910/tonality
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-toxic_tweets_en.md b/docs/_posts/ahmedlone127/2023-11-18-toxic_tweets_en.md
new file mode 100644
index 000000000000..67af78247702
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-toxic_tweets_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English toxic_tweets DistilBertForSequenceClassification from Kev07
+author: John Snow Labs
+name: toxic_tweets
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_tweets` is a English model originally trained by Kev07.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_tweets_en_5.2.0_3.0_1700341501290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_tweets_en_5.2.0_3.0_1700341501290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_tweets|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kev07/Toxic-Tweets
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-tweet_sentiment_analysis_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-18-tweet_sentiment_analysis_distilbert_en.md
new file mode 100644
index 000000000000..f1649b8dc3c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-tweet_sentiment_analysis_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tweet_sentiment_analysis_distilbert DistilBertForSequenceClassification from bambadij
+author: John Snow Labs
+name: tweet_sentiment_analysis_distilbert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_sentiment_analysis_distilbert` is a English model originally trained by bambadij.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_sentiment_analysis_distilbert_en_5.2.0_3.0_1700342464504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_sentiment_analysis_distilbert_en_5.2.0_3.0_1700342464504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweet_sentiment_analysis_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/bambadij/Tweet_sentiment_analysis_Distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-twitter_disaster_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-18-twitter_disaster_distilbert_en.md
new file mode 100644
index 000000000000..8c54a1e9259f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-twitter_disaster_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_disaster_distilbert DistilBertForSequenceClassification from ReynaQuita
+author: John Snow Labs
+name: twitter_disaster_distilbert
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_disaster_distilbert` is a English model originally trained by ReynaQuita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_disaster_distilbert_en_5.2.0_3.0_1700347650545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_disaster_distilbert_en_5.2.0_3.0_1700347650545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_emotion_polish_fast|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|pl|
+|Size:|510.7 MB|
+
+## References
+
+https://huggingface.co/bardsai/twitter-emotion-pl-fast
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-twitter_input_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-18-twitter_input_classifier_en.md
new file mode 100644
index 000000000000..ed093023c264
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-twitter_input_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_input_classifier DistilBertForSequenceClassification from Abris
+author: John Snow Labs
+name: twitter_input_classifier
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_input_classifier` is a English model originally trained by Abris.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_input_classifier_en_5.2.0_3.0_1700350646379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_input_classifier_en_5.2.0_3.0_1700350646379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_input_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Abris/twitter-input-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-twitter_sentiment_analysis_alexgeh196_en.md b/docs/_posts/ahmedlone127/2023-11-18-twitter_sentiment_analysis_alexgeh196_en.md
new file mode 100644
index 000000000000..73b2bd6b15e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-twitter_sentiment_analysis_alexgeh196_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_sentiment_analysis_alexgeh196 DistilBertForSequenceClassification from alexgeh196
+author: John Snow Labs
+name: twitter_sentiment_analysis_alexgeh196
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_sentiment_analysis_alexgeh196` is a English model originally trained by alexgeh196.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_alexgeh196_en_5.2.0_3.0_1700340685642.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_alexgeh196_en_5.2.0_3.0_1700340685642.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_sentiment_polish_fast|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|pl|
+|Size:|510.6 MB|
+
+## References
+
+https://huggingface.co/bardsai/twitter-sentiment-pl-fast
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-website_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-website_classification_en.md
new file mode 100644
index 000000000000..1e9c4724c26a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-website_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English website_classification DistilBertForSequenceClassification from alimazhar-110
+author: John Snow Labs
+name: website_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`website_classification` is a English model originally trained by alimazhar-110.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/website_classification_en_5.2.0_3.0_1700338157294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/website_classification_en_5.2.0_3.0_1700338157294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|website_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/alimazhar-110/website_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-wildlife_classification_en.md b/docs/_posts/ahmedlone127/2023-11-18-wildlife_classification_en.md
new file mode 100644
index 000000000000..2903b2cc35cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-wildlife_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English wildlife_classification DistilBertForSequenceClassification from julesbarbosa
+author: John Snow Labs
+name: wildlife_classification
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wildlife_classification` is a English model originally trained by julesbarbosa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wildlife_classification_en_5.2.0_3.0_1700338940196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wildlife_classification_en_5.2.0_3.0_1700338940196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wildlife_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/julesbarbosa/wildlife-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-yelp_restaurant_review_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-18-yelp_restaurant_review_sentiment_analysis_en.md
new file mode 100644
index 000000000000..30f2bce054b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-yelp_restaurant_review_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English yelp_restaurant_review_sentiment_analysis DistilBertForSequenceClassification from mrcaelumn
+author: John Snow Labs
+name: yelp_restaurant_review_sentiment_analysis
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yelp_restaurant_review_sentiment_analysis` is a English model originally trained by mrcaelumn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yelp_restaurant_review_sentiment_analysis_en_5.2.0_3.0_1700340570020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yelp_restaurant_review_sentiment_analysis_en_5.2.0_3.0_1700340570020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yelp_restaurant_review_sentiment_analysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mrcaelumn/yelp_restaurant_review_sentiment_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-18-yt_title_grader_en.md b/docs/_posts/ahmedlone127/2023-11-18-yt_title_grader_en.md
new file mode 100644
index 000000000000..4a4a5737fbf1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-18-yt_title_grader_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English yt_title_grader DistilBertForSequenceClassification from focia
+author: John Snow Labs
+name: yt_title_grader
+date: 2023-11-18
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yt_title_grader` is a English model originally trained by focia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yt_title_grader_en_5.2.0_3.0_1700339846592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yt_title_grader_en_5.2.0_3.0_1700339846592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yt_title_grader|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/focia/yt-title-grader
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-04_model_sales_external_en.md b/docs/_posts/ahmedlone127/2023-11-19-04_model_sales_external_en.md
new file mode 100644
index 000000000000..3968e1cc2ba2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-04_model_sales_external_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 04_model_sales_external DistilBertForSequenceClassification from hannoh
+author: John Snow Labs
+name: 04_model_sales_external
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`04_model_sales_external` is a English model originally trained by hannoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/04_model_sales_external_en_5.2.0_3.0_1700370035745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/04_model_sales_external_en_5.2.0_3.0_1700370035745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|04_model_sales_external|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/hannoh/04_model_sales_external
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-1026_en.md b/docs/_posts/ahmedlone127/2023-11-19-1026_en.md
new file mode 100644
index 000000000000..8d24909cbc45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-1026_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 1026 DistilBertForSequenceClassification from tingchih
+author: John Snow Labs
+name: 1026
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`1026` is a English model originally trained by tingchih.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/1026_en_5.2.0_3.0_1700387903703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/1026_en_5.2.0_3.0_1700387903703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|1026|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tingchih/1026
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-1104_en.md b/docs/_posts/ahmedlone127/2023-11-19-1104_en.md
new file mode 100644
index 000000000000..7440795202a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-1104_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 1104 DistilBertForSequenceClassification from tingchih
+author: John Snow Labs
+name: 1104
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`1104` is a English model originally trained by tingchih.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/1104_en_5.2.0_3.0_1700359782439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/1104_en_5.2.0_3.0_1700359782439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|1104|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tingchih/1104
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-20_news_group_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-20_news_group_classifier_en.md
new file mode 100644
index 000000000000..0af67dead9dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-20_news_group_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 20_news_group_classifier DistilBertForSequenceClassification from paragsmhatre
+author: John Snow Labs
+name: 20_news_group_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`20_news_group_classifier` is a English model originally trained by paragsmhatre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/20_news_group_classifier_en_5.2.0_3.0_1700356234135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/20_news_group_classifier_en_5.2.0_3.0_1700356234135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|20_news_group_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/paragsmhatre/20_news_group_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-ad_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-ad_classifier_en.md
new file mode 100644
index 000000000000..db7be05396f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-ad_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ad_classifier DistilBertForSequenceClassification from Joshnicholas
+author: John Snow Labs
+name: ad_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ad_classifier` is a English model originally trained by Joshnicholas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ad_classifier_en_5.2.0_3.0_1700361825803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ad_classifier_en_5.2.0_3.0_1700361825803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ad_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Joshnicholas/ad-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-aesthetic_attribute_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-aesthetic_attribute_classifier_en.md
new file mode 100644
index 000000000000..ab2de16124cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-aesthetic_attribute_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English aesthetic_attribute_classifier DistilBertForSequenceClassification from daveni
+author: John Snow Labs
+name: aesthetic_attribute_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aesthetic_attribute_classifier` is a English model originally trained by daveni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aesthetic_attribute_classifier_en_5.2.0_3.0_1700354415798.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aesthetic_attribute_classifier_en_5.2.0_3.0_1700354415798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aesthetic_attribute_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/daveni/aesthetic_attribute_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-age_predict_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-age_predict_model_en.md
new file mode 100644
index 000000000000..3169a08e6a01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-age_predict_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English age_predict_model DistilBertForSequenceClassification from priyabrat
+author: John Snow Labs
+name: age_predict_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`age_predict_model` is a English model originally trained by priyabrat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/age_predict_model_en_5.2.0_3.0_1700379705287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/age_predict_model_en_5.2.0_3.0_1700379705287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|age_predict_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/priyabrat/AGE_predict_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-amazon_review_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-19-amazon_review_sentiment_analysis_en.md
new file mode 100644
index 000000000000..3b54b4843f08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-amazon_review_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English amazon_review_sentiment_analysis DistilBertForSequenceClassification from Christian2903
+author: John Snow Labs
+name: amazon_review_sentiment_analysis
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_review_sentiment_analysis` is a English model originally trained by Christian2903.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_review_sentiment_analysis_en_5.2.0_3.0_1700382930888.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_review_sentiment_analysis_en_5.2.0_3.0_1700382930888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_review_sentiment_analysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Christian2903/amazon-review-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-anchor_classification_dmv_en.md b/docs/_posts/ahmedlone127/2023-11-19-anchor_classification_dmv_en.md
new file mode 100644
index 000000000000..07ef81feae95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-anchor_classification_dmv_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English anchor_classification_dmv DistilBertForSequenceClassification from VictorZhu
+author: John Snow Labs
+name: anchor_classification_dmv
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`anchor_classification_dmv` is a English model originally trained by VictorZhu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/anchor_classification_dmv_en_5.2.0_3.0_1700374979052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/anchor_classification_dmv_en_5.2.0_3.0_1700374979052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|anchor_classification_dmv|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VictorZhu/Anchor-Classification-DMV
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-anime_oriya_not_en.md b/docs/_posts/ahmedlone127/2023-11-19-anime_oriya_not_en.md
new file mode 100644
index 000000000000..3836b71e6d54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-anime_oriya_not_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English anime_oriya_not DistilBertForSequenceClassification from daspartho
+author: John Snow Labs
+name: anime_oriya_not
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`anime_oriya_not` is a English model originally trained by daspartho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/anime_oriya_not_en_5.2.0_3.0_1700424153119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/anime_oriya_not_en_5.2.0_3.0_1700424153119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|anime_oriya_not|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/daspartho/anime-or-not
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-article_classification_model_from_the_arxiv_en.md b/docs/_posts/ahmedlone127/2023-11-19-article_classification_model_from_the_arxiv_en.md
new file mode 100644
index 000000000000..1a861dc0ab4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-article_classification_model_from_the_arxiv_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English article_classification_model_from_the_arxiv DistilBertForSequenceClassification from combat-helicopter
+author: John Snow Labs
+name: article_classification_model_from_the_arxiv
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`article_classification_model_from_the_arxiv` is a English model originally trained by combat-helicopter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/article_classification_model_from_the_arxiv_en_5.2.0_3.0_1700395263171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/article_classification_model_from_the_arxiv_en_5.2.0_3.0_1700395263171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|article_classification_model_from_the_arxiv|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/combat-helicopter/article-classification-model-from-the-arxiv
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-asrs_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-19-asrs_distilbert_base_uncased_en.md
new file mode 100644
index 000000000000..4fdf0d497aa9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-asrs_distilbert_base_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English asrs_distilbert_base_uncased DistilBertForSequenceClassification from jfernsler
+author: John Snow Labs
+name: asrs_distilbert_base_uncased
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`asrs_distilbert_base_uncased` is a English model originally trained by jfernsler.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asrs_distilbert_base_uncased_en_5.2.0_3.0_1700367166125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asrs_distilbert_base_uncased_en_5.2.0_3.0_1700367166125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asrs_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jfernsler/ASRS_distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-autonlp_tc_13522454_en.md b/docs/_posts/ahmedlone127/2023-11-19-autonlp_tc_13522454_en.md
new file mode 100644
index 000000000000..702c79fca5fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-autonlp_tc_13522454_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autonlp_tc_13522454 DistilBertForSequenceClassification from Kceilord
+author: John Snow Labs
+name: autonlp_tc_13522454
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autonlp_tc_13522454` is a English model originally trained by Kceilord.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_tc_13522454_en_5.2.0_3.0_1700352769518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_tc_13522454_en_5.2.0_3.0_1700352769518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autonlp_tc_13522454|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Kceilord/autonlp-tc-13522454
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-autotrain_distilbert_risk_ranker_1593356256_en.md b/docs/_posts/ahmedlone127/2023-11-19-autotrain_distilbert_risk_ranker_1593356256_en.md
new file mode 100644
index 000000000000..b4c443d694dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-autotrain_distilbert_risk_ranker_1593356256_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autotrain_distilbert_risk_ranker_1593356256 DistilBertForSequenceClassification from mrosinski
+author: John Snow Labs
+name: autotrain_distilbert_risk_ranker_1593356256
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_distilbert_risk_ranker_1593356256` is a English model originally trained by mrosinski.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_risk_ranker_1593356256_en_5.2.0_3.0_1700394895914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_distilbert_risk_ranker_1593356256_en_5.2.0_3.0_1700394895914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_distilbert_risk_ranker_1593356256|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mrosinski/autotrain-distilbert-risk-ranker-1593356256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-bart_large_en.md b/docs/_posts/ahmedlone127/2023-11-19-bart_large_en.md
new file mode 100644
index 000000000000..d5468ba05131
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-bart_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bart_large DistilBertForSequenceClassification from Mahmoud8
+author: John Snow Labs
+name: bart_large
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bart_large` is a English model originally trained by Mahmoud8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bart_large_en_5.2.0_3.0_1700355138007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bart_large_en_5.2.0_3.0_1700355138007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bart_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mahmoud8/bart-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-based_bert_sardinian_en.md b/docs/_posts/ahmedlone127/2023-11-19-based_bert_sardinian_en.md
new file mode 100644
index 000000000000..9ee7201979ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-based_bert_sardinian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English based_bert_sardinian DistilBertForSequenceClassification from 0xMaka
+author: John Snow Labs
+name: based_bert_sardinian
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`based_bert_sardinian` is a English model originally trained by 0xMaka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/based_bert_sardinian_en_5.2.0_3.0_1700387903687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/based_bert_sardinian_en_5.2.0_3.0_1700387903687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|based_bert_sardinian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/0xMaka/based-bert-sc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-ben_base_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-ben_base_model_en.md
new file mode 100644
index 000000000000..342c1816ef0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-ben_base_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ben_base_model DistilBertForSequenceClassification from mathildeparlo
+author: John Snow Labs
+name: ben_base_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ben_base_model` is a English model originally trained by mathildeparlo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ben_base_model_en_5.2.0_3.0_1700355149512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ben_base_model_en_5.2.0_3.0_1700355149512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ben_base_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/mathildeparlo/ben_base_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_095ey11_en.md b/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_095ey11_en.md
new file mode 100644
index 000000000000..b68dc208fa17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_095ey11_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_emotion_095ey11 DistilBertForSequenceClassification from 095ey11
+author: John Snow Labs
+name: bert_emotion_095ey11
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_095ey11` is a English model originally trained by 095ey11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_095ey11_en_5.2.0_3.0_1700395902438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_095ey11_en_5.2.0_3.0_1700395902438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotion_095ey11|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/095ey11/bert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_apetulante_en.md b/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_apetulante_en.md
new file mode 100644
index 000000000000..a834533aee10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_apetulante_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_emotion_apetulante DistilBertForSequenceClassification from apetulante
+author: John Snow Labs
+name: bert_emotion_apetulante
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_apetulante` is a English model originally trained by apetulante.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_apetulante_en_5.2.0_3.0_1700426488010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_apetulante_en_5.2.0_3.0_1700426488010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotion_apetulante|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/apetulante/bert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_mehnaazasad_en.md b/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_mehnaazasad_en.md
new file mode 100644
index 000000000000..c0646c76b6d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_mehnaazasad_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_emotion_mehnaazasad DistilBertForSequenceClassification from mehnaazasad
+author: John Snow Labs
+name: bert_emotion_mehnaazasad
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_mehnaazasad` is a English model originally trained by mehnaazasad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_mehnaazasad_en_5.2.0_3.0_1700383745593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_mehnaazasad_en_5.2.0_3.0_1700383745593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotion_mehnaazasad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/mehnaazasad/bert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_umangchaudhry_en.md b/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_umangchaudhry_en.md
new file mode 100644
index 000000000000..1d462ea74c46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-bert_emotion_umangchaudhry_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_emotion_umangchaudhry DistilBertForSequenceClassification from umangchaudhry
+author: John Snow Labs
+name: bert_emotion_umangchaudhry
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_umangchaudhry` is a English model originally trained by umangchaudhry.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_umangchaudhry_en_5.2.0_3.0_1700405308040.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_umangchaudhry_en_5.2.0_3.0_1700405308040.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotion_umangchaudhry|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/umangchaudhry/bert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-bert_model_notpretrained_en.md b/docs/_posts/ahmedlone127/2023-11-19-bert_model_notpretrained_en.md
new file mode 100644
index 000000000000..1e94eb056fb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-bert_model_notpretrained_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_model_notpretrained DistilBertForSequenceClassification from soumyasinha
+author: John Snow Labs
+name: bert_model_notpretrained
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_notpretrained` is a English model originally trained by soumyasinha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_notpretrained_en_5.2.0_3.0_1700352005443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_notpretrained_en_5.2.0_3.0_1700352005443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_model_notpretrained|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.1 MB|
+
+## References
+
+https://huggingface.co/soumyasinha/BERT_model_notpretrained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-bert_model_reddit_tsla_tracked_actions_en.md b/docs/_posts/ahmedlone127/2023-11-19-bert_model_reddit_tsla_tracked_actions_en.md
new file mode 100644
index 000000000000..930e159904f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-bert_model_reddit_tsla_tracked_actions_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_model_reddit_tsla_tracked_actions DistilBertForSequenceClassification from fourthbrain-demo
+author: John Snow Labs
+name: bert_model_reddit_tsla_tracked_actions
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_reddit_tsla_tracked_actions` is a English model originally trained by fourthbrain-demo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_reddit_tsla_tracked_actions_en_5.2.0_3.0_1700400247464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_reddit_tsla_tracked_actions_en_5.2.0_3.0_1700400247464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_model_reddit_tsla_tracked_actions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fourthbrain-demo/bert_model_reddit_tsla_tracked_actions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-bert_model_tianyib_en.md b/docs/_posts/ahmedlone127/2023-11-19-bert_model_tianyib_en.md
new file mode 100644
index 000000000000..d83fed9aac55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-bert_model_tianyib_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_model_tianyib DistilBertForSequenceClassification from tianyib
+author: John Snow Labs
+name: bert_model_tianyib
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_model_tianyib` is a English model originally trained by tianyib.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_model_tianyib_en_5.2.0_3.0_1700352605435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_model_tianyib_en_5.2.0_3.0_1700352605435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_model_tianyib|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tianyib/bert_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-binary_compqa_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-binary_compqa_classifier_en.md
new file mode 100644
index 000000000000..e8484ee4673c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-binary_compqa_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English binary_compqa_classifier DistilBertForSequenceClassification from uhhlt
+author: John Snow Labs
+name: binary_compqa_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`binary_compqa_classifier` is a English model originally trained by uhhlt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/binary_compqa_classifier_en_5.2.0_3.0_1700372035281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/binary_compqa_classifier_en_5.2.0_3.0_1700372035281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|binary_compqa_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/uhhlt/binary-compqa-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_icd_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_icd_model_en.md
new file mode 100644
index 000000000000..99c32a5831ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_icd_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_icd_model DistilBertForSequenceClassification from jacksprat
+author: John Snow Labs
+name: burmese_awesome_icd_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_icd_model` is a English model originally trained by jacksprat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_icd_model_en_5.2.0_3.0_1700356973910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_icd_model_en_5.2.0_3.0_1700356973910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_icd_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/jacksprat/my_awesome_ICD_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_model_andriidemk_en.md b/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_model_andriidemk_en.md
new file mode 100644
index 000000000000..de2f33486d76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_model_andriidemk_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_andriidemk DistilBertForSequenceClassification from AndriiDemk
+author: John Snow Labs
+name: burmese_awesome_model_andriidemk
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_andriidemk` is a English model originally trained by AndriiDemk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_andriidemk_en_5.2.0_3.0_1700379777064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_andriidemk_en_5.2.0_3.0_1700379777064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_andriidemk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AndriiDemk/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_model_jaheroth_en.md b/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_model_jaheroth_en.md
new file mode 100644
index 000000000000..3ca203e94986
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_model_jaheroth_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_jaheroth DistilBertForSequenceClassification from jaheroth
+author: John Snow Labs
+name: burmese_awesome_model_jaheroth
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_jaheroth` is a English model originally trained by jaheroth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jaheroth_en_5.2.0_3.0_1700356417519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_jaheroth_en_5.2.0_3.0_1700356417519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_jaheroth|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jaheroth/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_model_tiemnd_en.md b/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_model_tiemnd_en.md
new file mode 100644
index 000000000000..cc8e5ac3fd7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-burmese_awesome_model_tiemnd_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_tiemnd DistilBertForSequenceClassification from tiemnd
+author: John Snow Labs
+name: burmese_awesome_model_tiemnd
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_tiemnd` is a English model originally trained by tiemnd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tiemnd_en_5.2.0_3.0_1700356414723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_tiemnd_en_5.2.0_3.0_1700356414723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_tiemnd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tiemnd/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-burmese_classifier_label26_en.md b/docs/_posts/ahmedlone127/2023-11-19-burmese_classifier_label26_en.md
new file mode 100644
index 000000000000..fe8bc53db062
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-burmese_classifier_label26_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_classifier_label26 DistilBertForSequenceClassification from passionMan
+author: John Snow Labs
+name: burmese_classifier_label26
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_classifier_label26` is a English model originally trained by passionMan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_classifier_label26_en_5.2.0_3.0_1700374198376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_classifier_label26_en_5.2.0_3.0_1700374198376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_classifier_label26|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/passionMan/my_classifier_label26
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-burmese_classifier_label26_transductive_en.md b/docs/_posts/ahmedlone127/2023-11-19-burmese_classifier_label26_transductive_en.md
new file mode 100644
index 000000000000..a66d74c472a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-burmese_classifier_label26_transductive_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_classifier_label26_transductive DistilBertForSequenceClassification from passionMan
+author: John Snow Labs
+name: burmese_classifier_label26_transductive
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_classifier_label26_transductive` is a English model originally trained by passionMan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_classifier_label26_transductive_en_5.2.0_3.0_1700401999113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_classifier_label26_transductive_en_5.2.0_3.0_1700401999113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_classifier_label26_transductive|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/passionMan/my_classifier_label26_transductive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-burmese_classifier_label41_en.md b/docs/_posts/ahmedlone127/2023-11-19-burmese_classifier_label41_en.md
new file mode 100644
index 000000000000..c537665b6a72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-burmese_classifier_label41_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_classifier_label41 DistilBertForSequenceClassification from passionMan
+author: John Snow Labs
+name: burmese_classifier_label41
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_classifier_label41` is a English model originally trained by passionMan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_classifier_label41_en_5.2.0_3.0_1700435830851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_classifier_label41_en_5.2.0_3.0_1700435830851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_classifier_label41|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/passionMan/my_classifier_label41
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-burmese_distilbert_model_adirobot_en.md b/docs/_posts/ahmedlone127/2023-11-19-burmese_distilbert_model_adirobot_en.md
new file mode 100644
index 000000000000..2436e3f2e019
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-burmese_distilbert_model_adirobot_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_distilbert_model_adirobot DistilBertForSequenceClassification from Adirobot
+author: John Snow Labs
+name: burmese_distilbert_model_adirobot
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_distilbert_model_adirobot` is a English model originally trained by Adirobot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_distilbert_model_adirobot_en_5.2.0_3.0_1700416377304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_distilbert_model_adirobot_en_5.2.0_3.0_1700416377304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_distilbert_model_adirobot|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Adirobot/my_distilbert_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-burmese_left_padding_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-burmese_left_padding_model_en.md
new file mode 100644
index 000000000000..d2a946f4fb2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-burmese_left_padding_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_left_padding_model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: burmese_left_padding_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_left_padding_model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_left_padding_model_en_5.2.0_3.0_1700432390374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_left_padding_model_en_5.2.0_3.0_1700432390374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_left_padding_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Realgon/my_left_padding_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-burmese_misinformation_distilbert_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-burmese_misinformation_distilbert_model_en.md
new file mode 100644
index 000000000000..6852e76b7b31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-burmese_misinformation_distilbert_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_misinformation_distilbert_model DistilBertForSequenceClassification from jojo0616
+author: John Snow Labs
+name: burmese_misinformation_distilbert_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_misinformation_distilbert_model` is a English model originally trained by jojo0616.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_misinformation_distilbert_model_en_5.2.0_3.0_1700365662229.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_misinformation_distilbert_model_en_5.2.0_3.0_1700365662229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_misinformation_distilbert_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jojo0616/my_Misinformation_distilbert_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-burmese_tc_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-burmese_tc_model_en.md
new file mode 100644
index 000000000000..bd6a37cca582
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-burmese_tc_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_tc_model DistilBertForSequenceClassification from bryjaco
+author: John Snow Labs
+name: burmese_tc_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_tc_model` is a English model originally trained by bryjaco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_tc_model_en_5.2.0_3.0_1700436711170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_tc_model_en_5.2.0_3.0_1700436711170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_tc_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bryjaco/my_tc_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-cancertextv1_en.md b/docs/_posts/ahmedlone127/2023-11-19-cancertextv1_en.md
new file mode 100644
index 000000000000..77f12ffaf0ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-cancertextv1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cancertextv1 DistilBertForSequenceClassification from Dinithi
+author: John Snow Labs
+name: cancertextv1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cancertextv1` is a English model originally trained by Dinithi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cancertextv1_en_5.2.0_3.0_1700370437458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cancertextv1_en_5.2.0_3.0_1700370437458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cancertextv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Dinithi/CancerTextV1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-claim2_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-19-claim2_distilbert_base_uncased_en.md
new file mode 100644
index 000000000000..2844f2b01f30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-claim2_distilbert_base_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English claim2_distilbert_base_uncased DistilBertForSequenceClassification from SCORE
+author: John Snow Labs
+name: claim2_distilbert_base_uncased
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`claim2_distilbert_base_uncased` is a English model originally trained by SCORE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/claim2_distilbert_base_uncased_en_5.2.0_3.0_1700355612095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/claim2_distilbert_base_uncased_en_5.2.0_3.0_1700355612095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|claim2_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SCORE/claim2-distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-claim3b_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-19-claim3b_distilbert_base_uncased_en.md
new file mode 100644
index 000000000000..ab8e38ce1f80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-claim3b_distilbert_base_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English claim3b_distilbert_base_uncased DistilBertForSequenceClassification from SCORE
+author: John Snow Labs
+name: claim3b_distilbert_base_uncased
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`claim3b_distilbert_base_uncased` is a English model originally trained by SCORE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/claim3b_distilbert_base_uncased_en_5.2.0_3.0_1700356077533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/claim3b_distilbert_base_uncased_en_5.2.0_3.0_1700356077533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|claim3b_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SCORE/claim3b-distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-clasificador_news_2_en.md b/docs/_posts/ahmedlone127/2023-11-19-clasificador_news_2_en.md
new file mode 100644
index 000000000000..6ecf5008ec4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-clasificador_news_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English clasificador_news_2 DistilBertForSequenceClassification from Alesteba
+author: John Snow Labs
+name: clasificador_news_2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clasificador_news_2` is a English model originally trained by Alesteba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificador_news_2_en_5.2.0_3.0_1700352132250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificador_news_2_en_5.2.0_3.0_1700352132250.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clasificador_news_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Alesteba/clasificador-news-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-classifier_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-classifier_distilbert_en.md
new file mode 100644
index 000000000000..47366f7bf73b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-classifier_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English classifier_distilbert DistilBertForSequenceClassification from MateuszW
+author: John Snow Labs
+name: classifier_distilbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`classifier_distilbert` is a English model originally trained by MateuszW.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classifier_distilbert_en_5.2.0_3.0_1700355643611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classifier_distilbert_en_5.2.0_3.0_1700355643611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classifier_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/MateuszW/classifier-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-codenetclassifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-codenetclassifier_en.md
new file mode 100644
index 000000000000..f2897cd562b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-codenetclassifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English codenetclassifier DistilBertForSequenceClassification from petersa2
+author: John Snow Labs
+name: codenetclassifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`codenetclassifier` is a English model originally trained by petersa2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codenetclassifier_en_5.2.0_3.0_1700427308081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codenetclassifier_en_5.2.0_3.0_1700427308081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codenetclassifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/petersa2/CodeNetClassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-coherence_classifier_final_en.md b/docs/_posts/ahmedlone127/2023-11-19-coherence_classifier_final_en.md
new file mode 100644
index 000000000000..ba096754ba28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-coherence_classifier_final_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English coherence_classifier_final DistilBertForSequenceClassification from kccheng1988
+author: John Snow Labs
+name: coherence_classifier_final
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coherence_classifier_final` is a English model originally trained by kccheng1988.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coherence_classifier_final_en_5.2.0_3.0_1700355930202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coherence_classifier_final_en_5.2.0_3.0_1700355930202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coherence_classifier_final|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kccheng1988/coherence-classifier-final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-compliance_monitoring_oms_en.md b/docs/_posts/ahmedlone127/2023-11-19-compliance_monitoring_oms_en.md
new file mode 100644
index 000000000000..8b64f0c12f52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-compliance_monitoring_oms_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English compliance_monitoring_oms DistilBertForSequenceClassification from Vineetttt
+author: John Snow Labs
+name: compliance_monitoring_oms
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`compliance_monitoring_oms` is a English model originally trained by Vineetttt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/compliance_monitoring_oms_en_5.2.0_3.0_1700390529101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/compliance_monitoring_oms_en_5.2.0_3.0_1700390529101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|compliance_monitoring_oms|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Vineetttt/compliance_monitoring_oms
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-covid_tweet_sentiment_analyzer_distilbert_kwameoo_en.md b/docs/_posts/ahmedlone127/2023-11-19-covid_tweet_sentiment_analyzer_distilbert_kwameoo_en.md
new file mode 100644
index 000000000000..01e5aca512d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-covid_tweet_sentiment_analyzer_distilbert_kwameoo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_tweet_sentiment_analyzer_distilbert_kwameoo DistilBertForSequenceClassification from KwameOO
+author: John Snow Labs
+name: covid_tweet_sentiment_analyzer_distilbert_kwameoo
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_tweet_sentiment_analyzer_distilbert_kwameoo` is a English model originally trained by KwameOO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_tweet_sentiment_analyzer_distilbert_kwameoo_en_5.2.0_3.0_1700436712233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_tweet_sentiment_analyzer_distilbert_kwameoo_en_5.2.0_3.0_1700436712233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_tweet_sentiment_analyzer_distilbert_kwameoo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KwameOO/covid-tweet-sentiment-analyzer-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-cross_encoder_msmarco_distilbert_word2vec256k_en.md b/docs/_posts/ahmedlone127/2023-11-19-cross_encoder_msmarco_distilbert_word2vec256k_en.md
new file mode 100644
index 000000000000..6b798c946b51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-cross_encoder_msmarco_distilbert_word2vec256k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cross_encoder_msmarco_distilbert_word2vec256k DistilBertForSequenceClassification from vocab-transformers
+author: John Snow Labs
+name: cross_encoder_msmarco_distilbert_word2vec256k
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_msmarco_distilbert_word2vec256k` is a English model originally trained by vocab-transformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_msmarco_distilbert_word2vec256k_en_5.2.0_3.0_1700387785281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_msmarco_distilbert_word2vec256k_en_5.2.0_3.0_1700387785281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_msmarco_distilbert_word2vec256k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|887.9 MB|
+
+## References
+
+https://huggingface.co/vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-custom_handler_tutorial_en.md b/docs/_posts/ahmedlone127/2023-11-19-custom_handler_tutorial_en.md
new file mode 100644
index 000000000000..959f54fc3aba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-custom_handler_tutorial_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English custom_handler_tutorial DistilBertForSequenceClassification from joelb
+author: John Snow Labs
+name: custom_handler_tutorial
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`custom_handler_tutorial` is a English model originally trained by joelb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/custom_handler_tutorial_en_5.2.0_3.0_1700355071342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/custom_handler_tutorial_en_5.2.0_3.0_1700355071342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|custom_handler_tutorial|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/joelb/custom-handler-tutorial
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-data_science_article_titles_engagement_en.md b/docs/_posts/ahmedlone127/2023-11-19-data_science_article_titles_engagement_en.md
new file mode 100644
index 000000000000..d286b719668d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-data_science_article_titles_engagement_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English data_science_article_titles_engagement DistilBertForSequenceClassification from dima806
+author: John Snow Labs
+name: data_science_article_titles_engagement
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`data_science_article_titles_engagement` is a English model originally trained by dima806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/data_science_article_titles_engagement_en_5.2.0_3.0_1700382773581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/data_science_article_titles_engagement_en_5.2.0_3.0_1700382773581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|data_science_article_titles_engagement|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/dima806/data-science-article-titles-engagement
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds_en.md b/docs/_posts/ahmedlone127/2023-11-19-dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds_en.md
new file mode 100644
index 000000000000..8bfcab5009a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds DistilBertForSequenceClassification from francisco-perez-sorrosal
+author: John Snow Labs
+name: dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds` is a English model originally trained by francisco-perez-sorrosal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds_en_5.2.0_3.0_1700381604154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds_en_5.2.0_3.0_1700381604154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.4 MB|
+
+## References
+
+https://huggingface.co/francisco-perez-sorrosal/dccuchile-distilbert-base-spanish-uncased-finetuned-with-spanish-tweets-clf-cleaned-ds
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_en.md b/docs/_posts/ahmedlone127/2023-11-19-dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_en.md
new file mode 100644
index 000000000000..b360485bd708
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf DistilBertForSequenceClassification from francisco-perez-sorrosal
+author: John Snow Labs
+name: dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf` is a English model originally trained by francisco-perez-sorrosal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_en_5.2.0_3.0_1700393596260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf_en_5.2.0_3.0_1700393596260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dccuchile_distilbert_base_spanish_uncased_finetuned_with_spanish_tweets_clf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.4 MB|
+
+## References
+
+https://huggingface.co/francisco-perez-sorrosal/dccuchile-distilbert-base-spanish-uncased-finetuned-with-spanish-tweets-clf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-demo_emotion_42_en.md b/docs/_posts/ahmedlone127/2023-11-19-demo_emotion_42_en.md
new file mode 100644
index 000000000000..7200eb09ea4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-demo_emotion_42_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English demo_emotion_42 DistilBertForSequenceClassification from aXhyra
+author: John Snow Labs
+name: demo_emotion_42
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_emotion_42` is a English model originally trained by aXhyra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_emotion_42_en_5.2.0_3.0_1700389669941.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_emotion_42_en_5.2.0_3.0_1700389669941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|demo_emotion_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aXhyra/demo_emotion_42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-demo_hate_1234567_en.md b/docs/_posts/ahmedlone127/2023-11-19-demo_hate_1234567_en.md
new file mode 100644
index 000000000000..77dab19e88f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-demo_hate_1234567_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English demo_hate_1234567 DistilBertForSequenceClassification from aXhyra
+author: John Snow Labs
+name: demo_hate_1234567
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_hate_1234567` is a English model originally trained by aXhyra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_hate_1234567_en_5.2.0_3.0_1700381799895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_hate_1234567_en_5.2.0_3.0_1700381799895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|demo_hate_1234567|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/aXhyra/demo_hate_1234567
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-demo_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-demo_model_en.md
new file mode 100644
index 000000000000..21d7e196b1e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-demo_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English demo_model DistilBertForSequenceClassification from anth0nyhak1m
+author: John Snow Labs
+name: demo_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_model` is a English model originally trained by anth0nyhak1m.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_model_en_5.2.0_3.0_1700352282603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_model_en_5.2.0_3.0_1700352282603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|demo_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anth0nyhak1m/demo_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-dibt_confidence_score_v9_en.md b/docs/_posts/ahmedlone127/2023-11-19-dibt_confidence_score_v9_en.md
new file mode 100644
index 000000000000..3978bec911e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-dibt_confidence_score_v9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dibt_confidence_score_v9 DistilBertForSequenceClassification from mjbolanos9
+author: John Snow Labs
+name: dibt_confidence_score_v9
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dibt_confidence_score_v9` is a English model originally trained by mjbolanos9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dibt_confidence_score_v9_en_5.2.0_3.0_1700410234135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dibt_confidence_score_v9_en_5.2.0_3.0_1700410234135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dibt_confidence_score_v9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/mjbolanos9/dibt-confidence-score_v9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-dilbert_uncased_product_categories_en.md b/docs/_posts/ahmedlone127/2023-11-19-dilbert_uncased_product_categories_en.md
new file mode 100644
index 000000000000..7af36c4138a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-dilbert_uncased_product_categories_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dilbert_uncased_product_categories DistilBertForSequenceClassification from osiloke
+author: John Snow Labs
+name: dilbert_uncased_product_categories
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dilbert_uncased_product_categories` is a English model originally trained by osiloke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dilbert_uncased_product_categories_en_5.2.0_3.0_1700355280828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dilbert_uncased_product_categories_en_5.2.0_3.0_1700355280828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dilbert_uncased_product_categories|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.8 MB|
+
+## References
+
+https://huggingface.co/osiloke/dilbert_uncased_product_categories
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-disaster_tweet_distilbert_4_en.md b/docs/_posts/ahmedlone127/2023-11-19-disaster_tweet_distilbert_4_en.md
new file mode 100644
index 000000000000..3c5a8c55396a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-disaster_tweet_distilbert_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English disaster_tweet_distilbert_4 DistilBertForSequenceClassification from aellxx
+author: John Snow Labs
+name: disaster_tweet_distilbert_4
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`disaster_tweet_distilbert_4` is a English model originally trained by aellxx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/disaster_tweet_distilbert_4_en_5.2.0_3.0_1700390580258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/disaster_tweet_distilbert_4_en_5.2.0_3.0_1700390580258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|disaster_tweet_distilbert_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/aellxx/disaster-tweet-distilbert-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-discourse_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-discourse_classification_en.md
new file mode 100644
index 000000000000..711ca23a363a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-discourse_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English discourse_classification DistilBertForSequenceClassification from Manishkalra
+author: John Snow Labs
+name: discourse_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`discourse_classification` is a English model originally trained by Manishkalra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discourse_classification_en_5.2.0_3.0_1700406290656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discourse_classification_en_5.2.0_3.0_1700406290656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|discourse_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Manishkalra/discourse_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distil_bert_uncased_finetuned_github_issues_en.md b/docs/_posts/ahmedlone127/2023-11-19-distil_bert_uncased_finetuned_github_issues_en.md
new file mode 100644
index 000000000000..08753db418e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distil_bert_uncased_finetuned_github_issues_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distil_bert_uncased_finetuned_github_issues DistilBertForSequenceClassification from ivanlau
+author: John Snow Labs
+name: distil_bert_uncased_finetuned_github_issues
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_bert_uncased_finetuned_github_issues` is a English model originally trained by ivanlau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_bert_uncased_finetuned_github_issues_en_5.2.0_3.0_1700382701258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_bert_uncased_finetuned_github_issues_en_5.2.0_3.0_1700382701258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_bert_uncased_finetuned_github_issues|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ivanlau/distil-bert-uncased-finetuned-github-issues
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_add_glue_experiment_logit_kd_cola_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_add_glue_experiment_logit_kd_cola_en.md
new file mode 100644
index 000000000000..b478500a308d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_add_glue_experiment_logit_kd_cola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_cola DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_cola
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_cola` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_cola_en_5.2.0_3.0_1700388742521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_cola_en_5.2.0_3.0_1700388742521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_cola|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_add_glue_experiment_logit_kd_pretrain_cola_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_add_glue_experiment_logit_kd_pretrain_cola_en.md
new file mode 100644
index 000000000000..9c2146b4cfab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_add_glue_experiment_logit_kd_pretrain_cola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_pretrain_cola DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_pretrain_cola
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_pretrain_cola` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_pretrain_cola_en_5.2.0_3.0_1700409379163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_pretrain_cola_en_5.2.0_3.0_1700409379163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_pretrain_cola|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_pretrain_cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_amazon_sentiment_aspect_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_amazon_sentiment_aspect_en.md
new file mode 100644
index 000000000000..ed641367ce98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_amazon_sentiment_aspect_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_amazon_sentiment_aspect DistilBertForSequenceClassification from MTOrange
+author: John Snow Labs
+name: distilbert_amazon_sentiment_aspect
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_amazon_sentiment_aspect` is a English model originally trained by MTOrange.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_amazon_sentiment_aspect_en_5.2.0_3.0_1700369216568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_amazon_sentiment_aspect_en_5.2.0_3.0_1700369216568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_amazon_sentiment_aspect|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/MTOrange/distilbert-amazon-sentiment-aspect
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_amazon_shoe_reviews_ubuntu_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_amazon_shoe_reviews_ubuntu_en.md
new file mode 100644
index 000000000000..d897bca2acb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_amazon_shoe_reviews_ubuntu_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_amazon_shoe_reviews_ubuntu DistilBertForSequenceClassification from excode
+author: John Snow Labs
+name: distilbert_amazon_shoe_reviews_ubuntu
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_amazon_shoe_reviews_ubuntu` is a English model originally trained by excode.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_amazon_shoe_reviews_ubuntu_en_5.2.0_3.0_1700358440235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_amazon_shoe_reviews_ubuntu_en_5.2.0_3.0_1700358440235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_amazon_shoe_reviews_ubuntu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/excode/distilbert-amazon-shoe-reviews_ubuntu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_cased_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_cased_emotion_en.md
new file mode 100644
index 000000000000..14db691a613e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_cased_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_cased_emotion DistilBertForSequenceClassification from morenolq
+author: John Snow Labs
+name: distilbert_base_cased_emotion
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_emotion` is a English model originally trained by morenolq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_emotion_en_5.2.0_3.0_1700356160149.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_emotion_en_5.2.0_3.0_1700356160149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/morenolq/distilbert-base-cased-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_cased_finetuned_fake_news_detection_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_cased_finetuned_fake_news_detection_en.md
new file mode 100644
index 000000000000..8ef32246b24f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_cased_finetuned_fake_news_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_fake_news_detection DistilBertForSequenceClassification from raileymontalan
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_fake_news_detection
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_fake_news_detection` is a English model originally trained by raileymontalan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_fake_news_detection_en_5.2.0_3.0_1700380573571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_fake_news_detection_en_5.2.0_3.0_1700380573571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_fake_news_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/raileymontalan/distilbert-base-cased-finetuned-fake-news-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_casedfinetuned_fake_news_detection_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_casedfinetuned_fake_news_detection_en.md
new file mode 100644
index 000000000000..e18d18efc4c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_casedfinetuned_fake_news_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_casedfinetuned_fake_news_detection DistilBertForSequenceClassification from raileymontalan
+author: John Snow Labs
+name: distilbert_base_casedfinetuned_fake_news_detection
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_casedfinetuned_fake_news_detection` is a English model originally trained by raileymontalan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_casedfinetuned_fake_news_detection_en_5.2.0_3.0_1700431385180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_casedfinetuned_fake_news_detection_en_5.2.0_3.0_1700431385180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_sentiment_2_arjuntheprogrammer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/arjuntheprogrammer/distilbert-base-multilingual-cased-sentiment-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_sentiment_en.md
new file mode 100644
index 000000000000..b6e3f6e97cd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_sentiment DistilBertForSequenceClassification from 51la5
+author: John Snow Labs
+name: distilbert_base_sentiment
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_sentiment` is a English model originally trained by 51la5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_sentiment_en_5.2.0_3.0_1700354585957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_sentiment_en_5.2.0_3.0_1700354585957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/51la5/distilbert-base-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_spanish_uncased_finetuned_pawsx_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_spanish_uncased_finetuned_pawsx_en.md
new file mode 100644
index 000000000000..160fa2e4c180
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_spanish_uncased_finetuned_pawsx_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_spanish_uncased_finetuned_pawsx DistilBertForSequenceClassification from dccuchile
+author: John Snow Labs
+name: distilbert_base_spanish_uncased_finetuned_pawsx
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_spanish_uncased_finetuned_pawsx` is a English model originally trained by dccuchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_pawsx_en_5.2.0_3.0_1700355002674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_pawsx_en_5.2.0_3.0_1700355002674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_spanish_uncased_finetuned_pawsx|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.4 MB|
+
+## References
+
+https://huggingface.co/dccuchile/distilbert-base-spanish-uncased-finetuned-pawsx
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_sst_2_english_finetuned_question_v_statement_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_sst_2_english_finetuned_question_v_statement_en.md
new file mode 100644
index 000000000000..35cb12dd5a5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_sst_2_english_finetuned_question_v_statement_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_sst_2_english_finetuned_question_v_statement DistilBertForSequenceClassification from mafwalter
+author: John Snow Labs
+name: distilbert_base_sst_2_english_finetuned_question_v_statement
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_sst_2_english_finetuned_question_v_statement` is a English model originally trained by mafwalter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_sst_2_english_finetuned_question_v_statement_en_5.2.0_3.0_1700389612473.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_sst_2_english_finetuned_question_v_statement_en_5.2.0_3.0_1700389612473.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_sst_2_english_finetuned_question_v_statement|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mafwalter/distilbert-base-sst-2-english-finetuned-question-v-statement
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_tag_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_tag_classification_en.md
new file mode 100644
index 000000000000..dca32e936186
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_tag_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_tag_classification DistilBertForSequenceClassification from chinmayapani
+author: John Snow Labs
+name: distilbert_base_tag_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_tag_classification` is a English model originally trained by chinmayapani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_tag_classification_en_5.2.0_3.0_1700430375940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_tag_classification_en_5.2.0_3.0_1700430375940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_tag_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chinmayapani/distilBert-base-tag-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_turkish_cased_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_turkish_cased_sentiment_en.md
new file mode 100644
index 000000000000..c217fa718e80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_turkish_cased_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_turkish_cased_sentiment DistilBertForSequenceClassification from azizbarank
+author: John Snow Labs
+name: distilbert_base_turkish_cased_sentiment
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_turkish_cased_sentiment` is a English model originally trained by azizbarank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_turkish_cased_sentiment_en_5.2.0_3.0_1700353695504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_turkish_cased_sentiment_en_5.2.0_3.0_1700353695504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_turkish_cased_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|254.0 MB|
+
+## References
+
+https://huggingface.co/azizbarank/distilbert-base-turkish-cased-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__ethos_binary__all_train_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__ethos_binary__all_train_en.md
new file mode 100644
index 000000000000..f25faa6c2a7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__ethos_binary__all_train_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__ethos_binary__all_train DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__ethos_binary__all_train
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__ethos_binary__all_train` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__ethos_binary__all_train_en_5.2.0_3.0_1700355909253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__ethos_binary__all_train_en_5.2.0_3.0_1700355909253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__ethos_binary__all_train|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__ethos_binary__all-train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__all_train_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__all_train_en.md
new file mode 100644
index 000000000000..c9fe0415e9ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__all_train_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__all_train DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__all_train
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__all_train` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__all_train_en_5.2.0_3.0_1700354916004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__all_train_en_5.2.0_3.0_1700354916004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__all_train|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__all-train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_1_en.md
new file mode 100644
index 000000000000..5ff43f7d3851
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_16_1 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_16_1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_16_1` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_1_en_5.2.0_3.0_1700356659730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_1_en_5.2.0_3.0_1700356659730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_16_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_3_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_3_en.md
new file mode 100644
index 000000000000..982203308546
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_16_3 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_16_3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_16_3` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_3_en_5.2.0_3.0_1700356623234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_3_en_5.2.0_3.0_1700356623234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_16_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_4_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_4_en.md
new file mode 100644
index 000000000000..9b8e8175d33f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_16_4 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_16_4
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_16_4` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_4_en_5.2.0_3.0_1700356921106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_4_en_5.2.0_3.0_1700356921106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_16_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_5_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_5_en.md
new file mode 100644
index 000000000000..e5aa1828a80d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_16_5 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_16_5
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_16_5` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_5_en_5.2.0_3.0_1700356819703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_5_en_5.2.0_3.0_1700356819703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_6_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_6_en.md
new file mode 100644
index 000000000000..873562230828
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_16_6 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_16_6
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_16_6` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_6_en_5.2.0_3.0_1700352436962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_6_en_5.2.0_3.0_1700352436962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_16_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_8_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_8_en.md
new file mode 100644
index 000000000000..cc26540214de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_16_8 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_16_8
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_16_8` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_8_en_5.2.0_3.0_1700355133744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_8_en_5.2.0_3.0_1700355133744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_16_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_9_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_9_en.md
new file mode 100644
index 000000000000..81c1fa182c40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_16_9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_16_9 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_16_9
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_16_9` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_9_en_5.2.0_3.0_1700352439400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_16_9_en_5.2.0_3.0_1700352439400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_16_9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-16-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_0_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_0_en.md
new file mode 100644
index 000000000000..74180c2be510
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_32_0 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_32_0
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_32_0` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_0_en_5.2.0_3.0_1700354785706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_0_en_5.2.0_3.0_1700354785706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_32_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-32-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_1_en.md
new file mode 100644
index 000000000000..d2e7bb5af0e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_32_1 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_32_1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_32_1` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_1_en_5.2.0_3.0_1700353999482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_1_en_5.2.0_3.0_1700353999482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_32_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-32-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_2_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_2_en.md
new file mode 100644
index 000000000000..b1143a8c42c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_32_2 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_32_2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_32_2` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_2_en_5.2.0_3.0_1700357475762.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_2_en_5.2.0_3.0_1700357475762.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_32_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-32-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_4_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_4_en.md
new file mode 100644
index 000000000000..6cfb8df639e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_32_4 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_32_4
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_32_4` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_4_en_5.2.0_3.0_1700367583091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_4_en_5.2.0_3.0_1700367583091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_32_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-32-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_6_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_6_en.md
new file mode 100644
index 000000000000..708231a977a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_32_6 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_32_6
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_32_6` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_6_en_5.2.0_3.0_1700354418779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_6_en_5.2.0_3.0_1700354418779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_32_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-32-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_7_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_7_en.md
new file mode 100644
index 000000000000..4473a1884fe0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_32_7 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_32_7
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_32_7` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_7_en_5.2.0_3.0_1700354274943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_7_en_5.2.0_3.0_1700354274943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_32_7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-32-7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_8_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_8_en.md
new file mode 100644
index 000000000000..f00bd45f88fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_32_8 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_32_8
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_32_8` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_8_en_5.2.0_3.0_1700360576916.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_8_en_5.2.0_3.0_1700360576916.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_32_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-32-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_9_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_9_en.md
new file mode 100644
index 000000000000..69eec44a01b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_32_9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_32_9 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_32_9
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_32_9` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_9_en_5.2.0_3.0_1700353825251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_32_9_en_5.2.0_3.0_1700353825251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_32_9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-32-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_0_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_0_en.md
new file mode 100644
index 000000000000..2451e856b3d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_8_0 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_8_0
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_8_0` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_0_en_5.2.0_3.0_1700363870674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_0_en_5.2.0_3.0_1700363870674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_8_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_1_en.md
new file mode 100644
index 000000000000..ae4d46bad979
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_8_1 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_8_1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_8_1` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_1_en_5.2.0_3.0_1700354141072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_1_en_5.2.0_3.0_1700354141072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_8_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_2_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_2_en.md
new file mode 100644
index 000000000000..e7287210c8c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_8_2 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_8_2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_8_2` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_2_en_5.2.0_3.0_1700355925890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_2_en_5.2.0_3.0_1700355925890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_8_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_3_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_3_en.md
new file mode 100644
index 000000000000..116149298ef1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_8_3 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_8_3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_8_3` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_3_en_5.2.0_3.0_1700356780784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_3_en_5.2.0_3.0_1700356780784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_8_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_6_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_6_en.md
new file mode 100644
index 000000000000..417666479f58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_8_6 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_8_6
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_8_6` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_6_en_5.2.0_3.0_1700353018583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_6_en_5.2.0_3.0_1700353018583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_8_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_7_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_7_en.md
new file mode 100644
index 000000000000..e00e2e3279a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_8_7 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_8_7
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_8_7` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_7_en_5.2.0_3.0_1700353980130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_7_en_5.2.0_3.0_1700353980130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_8_7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_8_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_8_en.md
new file mode 100644
index 000000000000..e94d418f37e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_8_8 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_8_8
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_8_8` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_8_en_5.2.0_3.0_1700352095746.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_8_en_5.2.0_3.0_1700352095746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_8_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_9_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_9_en.md
new file mode 100644
index 000000000000..371a1c544d19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__hate_speech_offensive__train_8_9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__hate_speech_offensive__train_8_9 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__hate_speech_offensive__train_8_9
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__hate_speech_offensive__train_8_9` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_9_en_5.2.0_3.0_1700353509004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__hate_speech_offensive__train_8_9_en_5.2.0_3.0_1700353509004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__hate_speech_offensive__train_8_9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__hate_speech_offensive__train-8-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__all_train_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__all_train_en.md
new file mode 100644
index 000000000000..77a21a2e7771
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__all_train_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__all_train DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__all_train
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__all_train` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__all_train_en_5.2.0_3.0_1700353851382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__all_train_en_5.2.0_3.0_1700353851382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__all_train|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__all-train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_0_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_0_en.md
new file mode 100644
index 000000000000..d9adfdb5140f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_16_0 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_16_0
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_16_0` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_0_en_5.2.0_3.0_1700353202594.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_0_en_5.2.0_3.0_1700353202594.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_16_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-16-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_1_en.md
new file mode 100644
index 000000000000..5a88f39e6536
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_16_1 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_16_1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_16_1` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_1_en_5.2.0_3.0_1700356233865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_1_en_5.2.0_3.0_1700356233865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_16_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-16-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_2_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_2_en.md
new file mode 100644
index 000000000000..c5c6452f4081
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_16_2 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_16_2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_16_2` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_2_en_5.2.0_3.0_1700354754388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_2_en_5.2.0_3.0_1700354754388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_16_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-16-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_3_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_3_en.md
new file mode 100644
index 000000000000..00adce0d9566
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_16_3 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_16_3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_16_3` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_3_en_5.2.0_3.0_1700354234588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_3_en_5.2.0_3.0_1700354234588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_16_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-16-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_4_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_4_en.md
new file mode 100644
index 000000000000..5fc9103a3f7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_16_4 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_16_4
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_16_4` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_4_en_5.2.0_3.0_1700366715638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_4_en_5.2.0_3.0_1700366715638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_16_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-16-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_5_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_5_en.md
new file mode 100644
index 000000000000..b6ec672c982c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_16_5 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_16_5
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_16_5` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_5_en_5.2.0_3.0_1700356960548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_5_en_5.2.0_3.0_1700356960548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_6_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_6_en.md
new file mode 100644
index 000000000000..121c1f059638
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_16_6 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_16_6
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_16_6` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_6_en_5.2.0_3.0_1700354592491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_6_en_5.2.0_3.0_1700354592491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_16_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-16-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_7_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_7_en.md
new file mode 100644
index 000000000000..209398657d4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_16_7 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_16_7
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_16_7` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_7_en_5.2.0_3.0_1700364695862.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_7_en_5.2.0_3.0_1700364695862.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_16_7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-16-7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_8_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_8_en.md
new file mode 100644
index 000000000000..524de8379ee7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_16_8 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_16_8
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_16_8` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_8_en_5.2.0_3.0_1700370856407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_8_en_5.2.0_3.0_1700370856407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_16_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-16-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_9_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_9_en.md
new file mode 100644
index 000000000000..240edbf66c90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_16_9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_16_9 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_16_9
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_16_9` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_9_en_5.2.0_3.0_1700359782638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_16_9_en_5.2.0_3.0_1700359782638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_16_9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-16-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_0_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_0_en.md
new file mode 100644
index 000000000000..f5f73009c8c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_32_0 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_32_0
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_32_0` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_0_en_5.2.0_3.0_1700366716172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_0_en_5.2.0_3.0_1700366716172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_32_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-32-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_1_en.md
new file mode 100644
index 000000000000..e7c5c3f70f94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_32_1 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_32_1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_32_1` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_1_en_5.2.0_3.0_1700355069172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_1_en_5.2.0_3.0_1700355069172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_32_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-32-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_2_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_2_en.md
new file mode 100644
index 000000000000..848912b68892
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_32_2 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_32_2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_32_2` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_2_en_5.2.0_3.0_1700352699581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_2_en_5.2.0_3.0_1700352699581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_32_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-32-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_3_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_3_en.md
new file mode 100644
index 000000000000..107c43206db1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_32_3 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_32_3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_32_3` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_3_en_5.2.0_3.0_1700353371755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_3_en_5.2.0_3.0_1700353371755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_32_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-32-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_4_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_4_en.md
new file mode 100644
index 000000000000..5902b46e46af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_32_4 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_32_4
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_32_4` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_4_en_5.2.0_3.0_1700372207600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_4_en_5.2.0_3.0_1700372207600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_32_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-32-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_5_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_5_en.md
new file mode 100644
index 000000000000..5a5961bdcc9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_32_5 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_32_5
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_32_5` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_5_en_5.2.0_3.0_1700360766420.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_5_en_5.2.0_3.0_1700360766420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_32_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-32-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_6_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_6_en.md
new file mode 100644
index 000000000000..49c37cc15ba5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_32_6 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_32_6
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_32_6` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_6_en_5.2.0_3.0_1700353553162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_6_en_5.2.0_3.0_1700353553162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_32_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-32-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_7_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_7_en.md
new file mode 100644
index 000000000000..9dda13e1e8b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_32_7 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_32_7
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_32_7` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_7_en_5.2.0_3.0_1700363705374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_7_en_5.2.0_3.0_1700363705374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_32_7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-32-7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_8_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_8_en.md
new file mode 100644
index 000000000000..d3d8059180c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_32_8 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_32_8
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_32_8` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_8_en_5.2.0_3.0_1700352095521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_8_en_5.2.0_3.0_1700352095521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_32_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-32-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_9_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_9_en.md
new file mode 100644
index 000000000000..22610d1e845d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_32_9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_32_9 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_32_9
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_32_9` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_9_en_5.2.0_3.0_1700359597259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_32_9_en_5.2.0_3.0_1700359597259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_32_9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-32-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_0_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_0_en.md
new file mode 100644
index 000000000000..0c49cfd1f81d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_8_0 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_8_0
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_8_0` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_0_en_5.2.0_3.0_1700355221401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_0_en_5.2.0_3.0_1700355221401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_8_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-8-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_1_en.md
new file mode 100644
index 000000000000..64c23c32a009
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_8_1 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_8_1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_8_1` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_1_en_5.2.0_3.0_1700355401539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_1_en_5.2.0_3.0_1700355401539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_8_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-8-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_2_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_2_en.md
new file mode 100644
index 000000000000..160048f844b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_8_2 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_8_2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_8_2` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_2_en_5.2.0_3.0_1700354750456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_2_en_5.2.0_3.0_1700354750456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_8_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-8-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_3_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_3_en.md
new file mode 100644
index 000000000000..b04a401f6596
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_8_3 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_8_3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_8_3` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_3_en_5.2.0_3.0_1700361773019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_3_en_5.2.0_3.0_1700361773019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_8_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-8-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_4_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_4_en.md
new file mode 100644
index 000000000000..caffeb8f3638
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_8_4 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_8_4
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_8_4` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_4_en_5.2.0_3.0_1700356905669.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_4_en_5.2.0_3.0_1700356905669.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_8_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-8-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_6_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_6_en.md
new file mode 100644
index 000000000000..b8cc372cbabf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_8_6 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_8_6
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_8_6` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_6_en_5.2.0_3.0_1700353396137.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_6_en_5.2.0_3.0_1700353396137.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_8_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-8-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_7_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_7_en.md
new file mode 100644
index 000000000000..b0717762c269
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_8_7 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_8_7
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_8_7` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_7_en_5.2.0_3.0_1700352850525.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_7_en_5.2.0_3.0_1700352850525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_8_7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-8-7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_8_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_8_en.md
new file mode 100644
index 000000000000..372bff8e4b67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_8_8 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_8_8
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_8_8` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_8_en_5.2.0_3.0_1700363260529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_8_en_5.2.0_3.0_1700363260529.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_8_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-8-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_9_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_9_en.md
new file mode 100644
index 000000000000..e22a652554db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__sst2__train_8_9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__sst2__train_8_9 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__sst2__train_8_9
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__sst2__train_8_9` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_9_en_5.2.0_3.0_1700365763223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__sst2__train_8_9_en_5.2.0_3.0_1700365763223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__sst2__train_8_9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__sst2__train-8-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_0_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_0_en.md
new file mode 100644
index 000000000000..8d4d4c97dee5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__subj__train_8_0 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__subj__train_8_0
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__subj__train_8_0` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_0_en_5.2.0_3.0_1700367583703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_0_en_5.2.0_3.0_1700367583703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__subj__train_8_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__subj__train-8-0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_1_en.md
new file mode 100644
index 000000000000..b2e90d7ecbaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__subj__train_8_1 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__subj__train_8_1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__subj__train_8_1` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_1_en_5.2.0_3.0_1700353210364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_1_en_5.2.0_3.0_1700353210364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__subj__train_8_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__subj__train-8-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_2_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_2_en.md
new file mode 100644
index 000000000000..a29f45149843
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__subj__train_8_2 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__subj__train_8_2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__subj__train_8_2` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_2_en_5.2.0_3.0_1700357048519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_2_en_5.2.0_3.0_1700357048519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__subj__train_8_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__subj__train-8-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_3_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_3_en.md
new file mode 100644
index 000000000000..c1638e2139b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__subj__train_8_3 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__subj__train_8_3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__subj__train_8_3` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_3_en_5.2.0_3.0_1700353021218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_3_en_5.2.0_3.0_1700353021218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__subj__train_8_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__subj__train-8-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_4_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_4_en.md
new file mode 100644
index 000000000000..d04f98caa26e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__subj__train_8_4 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__subj__train_8_4
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__subj__train_8_4` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_4_en_5.2.0_3.0_1700362785612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_4_en_5.2.0_3.0_1700362785612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__subj__train_8_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__subj__train-8-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_5_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_5_en.md
new file mode 100644
index 000000000000..c122574a5f58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__subj__train_8_5 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__subj__train_8_5
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__subj__train_8_5` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_5_en_5.2.0_3.0_1700404786394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_5_en_5.2.0_3.0_1700404786394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__subj__train_8_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__subj__train-8-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_6_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_6_en.md
new file mode 100644
index 000000000000..4e3376ca74ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__subj__train_8_6 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__subj__train_8_6
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__subj__train_8_6` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_6_en_5.2.0_3.0_1700392448953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_6_en_5.2.0_3.0_1700392448953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__subj__train_8_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__subj__train-8-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_7_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_7_en.md
new file mode 100644
index 000000000000..fff0fd32dc54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__subj__train_8_7 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__subj__train_8_7
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__subj__train_8_7` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_7_en_5.2.0_3.0_1700419236038.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_7_en_5.2.0_3.0_1700419236038.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__subj__train_8_7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__subj__train-8-7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_8_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_8_en.md
new file mode 100644
index 000000000000..70f596e25cc0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__subj__train_8_8 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__subj__train_8_8
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__subj__train_8_8` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_8_en_5.2.0_3.0_1700431327946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_8_en_5.2.0_3.0_1700431327946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__subj__train_8_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__subj__train-8-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_9_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_9_en.md
new file mode 100644
index 000000000000..2f6a74eea5b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__subj__train_8_9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__subj__train_8_9 DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__subj__train_8_9
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__subj__train_8_9` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_9_en_5.2.0_3.0_1700431385171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__subj__train_8_9_en_5.2.0_3.0_1700431385171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__subj__train_8_9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__subj__train-8-9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__trec_qc__all_train_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__trec_qc__all_train_en.md
new file mode 100644
index 000000000000..aa78f0013301
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__trec_qc__all_train_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__trec_qc__all_train DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__trec_qc__all_train
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__trec_qc__all_train` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__trec_qc__all_train_en_5.2.0_3.0_1700355750258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__trec_qc__all_train_en_5.2.0_3.0_1700355750258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__trec_qc__all_train|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__TREC-QC__all-train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__tweet_eval_stance__all_train_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__tweet_eval_stance__all_train_en.md
new file mode 100644
index 000000000000..0369bd22d7c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased__tweet_eval_stance__all_train_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased__tweet_eval_stance__all_train DistilBertForSequenceClassification from SetFit
+author: John Snow Labs
+name: distilbert_base_uncased__tweet_eval_stance__all_train
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased__tweet_eval_stance__all_train` is a English model originally trained by SetFit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__tweet_eval_stance__all_train_en_5.2.0_3.0_1700355783760.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased__tweet_eval_stance__all_train_en_5.2.0_3.0_1700355783760.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased__tweet_eval_stance__all_train|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SetFit/distilbert-base-uncased__tweet_eval_stance__all-train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_allagree3_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_allagree3_en.md
new file mode 100644
index 000000000000..0ce8feeb9b6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_allagree3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_allagree3 DistilBertForSequenceClassification from Farshid
+author: John Snow Labs
+name: distilbert_base_uncased_allagree3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_allagree3` is a English model originally trained by Farshid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_allagree3_en_5.2.0_3.0_1700379702065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_allagree3_en_5.2.0_3.0_1700379702065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_allagree3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Farshid/distilbert-base-uncased_allagree3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_cola_sciarrilli_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_cola_sciarrilli_en.md
new file mode 100644
index 000000000000..3e2bb790992d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_cola_sciarrilli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_cola_sciarrilli DistilBertForSequenceClassification from sciarrilli
+author: John Snow Labs
+name: distilbert_base_uncased_cola_sciarrilli
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_cola_sciarrilli` is a English model originally trained by sciarrilli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cola_sciarrilli_en_5.2.0_3.0_1700356837124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_cola_sciarrilli_en_5.2.0_3.0_1700356837124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_cola_sciarrilli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/sciarrilli/distilbert-base-uncased-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_augustbang_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_augustbang_en.md
new file mode 100644
index 000000000000..802377d5f305
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_augustbang_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_augustbang DistilBertForSequenceClassification from Augustbang
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_augustbang
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_augustbang` is a English model originally trained by Augustbang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_augustbang_en_5.2.0_3.0_1700363260912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_augustbang_en_5.2.0_3.0_1700363260912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_augustbang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Augustbang/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_frahman_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_frahman_en.md
new file mode 100644
index 000000000000..c26816872e5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_frahman_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_frahman DistilBertForSequenceClassification from frahman
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_frahman
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_frahman` is a English model originally trained by frahman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_frahman_en_5.2.0_3.0_1700403973061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_frahman_en_5.2.0_3.0_1700403973061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_frahman|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/frahman/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_gguichard_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_gguichard_en.md
new file mode 100644
index 000000000000..e834792a7792
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_gguichard_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_gguichard DistilBertForSequenceClassification from gguichard
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_gguichard
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_gguichard` is a English model originally trained by gguichard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_gguichard_en_5.2.0_3.0_1700401132610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_gguichard_en_5.2.0_3.0_1700401132610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_gguichard|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/gguichard/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_gouse_73_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_gouse_73_en.md
new file mode 100644
index 000000000000..de028dc4fbfb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_gouse_73_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_gouse_73 DistilBertForSequenceClassification from gouse-73
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_gouse_73
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_gouse_73` is a English model originally trained by gouse-73.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_gouse_73_en_5.2.0_3.0_1700371635016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_gouse_73_en_5.2.0_3.0_1700371635016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_gouse_73|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/gouse-73/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_omar95farag_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_omar95farag_en.md
new file mode 100644
index 000000000000..884af3898f79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_distilled_clinc_omar95farag_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_omar95farag DistilBertForSequenceClassification from Omar95farag
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_omar95farag
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_omar95farag` is a English model originally trained by Omar95farag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_omar95farag_en_5.2.0_3.0_1700353210532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_omar95farag_en_5.2.0_3.0_1700353210532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_omar95farag|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Omar95farag/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emoji_mask_wearing_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emoji_mask_wearing_en.md
new file mode 100644
index 000000000000..0a9961c35fe8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emoji_mask_wearing_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_emoji_mask_wearing DistilBertForSequenceClassification from Suhong
+author: John Snow Labs
+name: distilbert_base_uncased_emoji_mask_wearing
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emoji_mask_wearing` is a English model originally trained by Suhong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emoji_mask_wearing_en_5.2.0_3.0_1700410319121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emoji_mask_wearing_en_5.2.0_3.0_1700410319121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emoji_mask_wearing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Suhong/distilbert-base-uncased-emoji_mask_wearing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_climatechange_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_climatechange_en.md
new file mode 100644
index 000000000000..5d1c0e448f41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_climatechange_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_climatechange DistilBertForSequenceClassification from Suhong
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_climatechange
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_climatechange` is a English model originally trained by Suhong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_climatechange_en_5.2.0_3.0_1700372035494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_climatechange_en_5.2.0_3.0_1700372035494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_climatechange|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Suhong/distilbert-base-uncased-emotion-climateChange
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_ft_0416_lanchunhui_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_ft_0416_lanchunhui_en.md
new file mode 100644
index 000000000000..501c4849d21c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_ft_0416_lanchunhui_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_ft_0416_lanchunhui DistilBertForSequenceClassification from lanchunhui
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_ft_0416_lanchunhui
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_lanchunhui` is a English model originally trained by lanchunhui.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_lanchunhui_en_5.2.0_3.0_1700363705372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_lanchunhui_en_5.2.0_3.0_1700363705372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_ft_0416_lanchunhui|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lanchunhui/distilbert-base-uncased_emotion_ft_0416
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_ft_0520_zhouzk_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_ft_0520_zhouzk_en.md
new file mode 100644
index 000000000000..e738fd8189f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_ft_0520_zhouzk_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_ft_0520_zhouzk DistilBertForSequenceClassification from Zhouzk
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_ft_0520_zhouzk
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0520_zhouzk` is a English model originally trained by Zhouzk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0520_zhouzk_en_5.2.0_3.0_1700371427082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0520_zhouzk_en_5.2.0_3.0_1700371427082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_ft_0520_zhouzk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Zhouzk/distilbert-base-uncased_emotion_ft_0520
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_ft_lincong_logs_1027_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_ft_lincong_logs_1027_en.md
new file mode 100644
index 000000000000..d5a21dba26dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotion_ft_lincong_logs_1027_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_ft_lincong_logs_1027 DistilBertForSequenceClassification from gemlincong
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_ft_lincong_logs_1027
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_lincong_logs_1027` is a English model originally trained by gemlincong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_lincong_logs_1027_en_5.2.0_3.0_1700365730214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_lincong_logs_1027_en_5.2.0_3.0_1700365730214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_ft_lincong_logs_1027|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gemlincong/distilbert-base-uncased_emotion_ft_lincong_logs_1027
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotions_detection_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotions_detection_en.md
new file mode 100644
index 000000000000..c7d767003ab1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_emotions_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotions_detection DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_emotions_detection
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotions_detection` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotions_detection_en_5.2.0_3.0_1700374970564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotions_detection_en_5.2.0_3.0_1700374970564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotions_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-Emotions_Detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v3_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v3_en.md
new file mode 100644
index 000000000000..1b9a2e06c21d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v3 DistilBertForSequenceClassification from hafidikhsan
+author: John Snow Labs
+name: distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v3` is a English model originally trained by hafidikhsan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v3_en_5.2.0_3.0_1700357906658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v3_en_5.2.0_3.0_1700357906658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_bosnian_v3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-bs-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v6_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v6_en.md
new file mode 100644
index 000000000000..5b0ec897904d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v6 DistilBertForSequenceClassification from hafidikhsan
+author: John Snow Labs
+name: distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v6
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v6` is a English model originally trained by hafidikhsan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v6_en_5.2.0_3.0_1700429541011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v6_en_5.2.0_3.0_1700429541011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-dt-v6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_sentweet_profane_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_sentweet_profane_en.md
new file mode 100644
index 000000000000..55fd495240ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_sentweet_profane_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_english_sentweet_profane DistilBertForSequenceClassification from jayanta
+author: John Snow Labs
+name: distilbert_base_uncased_english_sentweet_profane
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_sentweet_profane` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_sentweet_profane_en_5.2.0_3.0_1700419615262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_sentweet_profane_en_5.2.0_3.0_1700419615262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_english_sentweet_profane|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/jayanta/distilbert-base-uncased-english-sentweet-profane
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_sentweet_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_sentweet_sentiment_en.md
new file mode 100644
index 000000000000..d18277ce9ed6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_english_sentweet_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_english_sentweet_sentiment DistilBertForSequenceClassification from jayanta
+author: John Snow Labs
+name: distilbert_base_uncased_english_sentweet_sentiment
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_sentweet_sentiment` is a English model originally trained by jayanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_sentweet_sentiment_en_5.2.0_3.0_1700426488016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_sentweet_sentiment_en_5.2.0_3.0_1700426488016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_english_sentweet_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jayanta/distilbert-base-uncased-english-sentweet-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_9th_auc_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_9th_auc_en.md
new file mode 100644
index 000000000000..78915aae09e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_9th_auc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_9th_auc DistilBertForSequenceClassification from Katsiaryna
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_9th_auc
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_9th_auc` is a English model originally trained by Katsiaryna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_9th_auc_en_5.2.0_3.0_1700352604828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_9th_auc_en_5.2.0_3.0_1700352604828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_9th_auc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Katsiaryna/distilbert-base-uncased-finetuned_9th_auc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_alerts_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_alerts_en.md
new file mode 100644
index 000000000000..395d491874c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_alerts_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_alerts DistilBertForSequenceClassification from renbtt
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_alerts
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_alerts` is a English model originally trained by renbtt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_alerts_en_5.2.0_3.0_1700438364047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_alerts_en_5.2.0_3.0_1700438364047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_alerts|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/renbtt/distilbert-base-uncased-finetuned-alerts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_amazon_fine_food_lite_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_amazon_fine_food_lite_en.md
new file mode 100644
index 000000000000..864f69e4c4eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_amazon_fine_food_lite_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_amazon_fine_food_lite DistilBertForSequenceClassification from MarioAvolio99
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_amazon_fine_food_lite
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_amazon_fine_food_lite` is a English model originally trained by MarioAvolio99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_fine_food_lite_en_5.2.0_3.0_1700412353680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_fine_food_lite_en_5.2.0_3.0_1700412353680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_amazon_review|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+References
+
+https://huggingface.co/soyisauce/distilbert-base-uncased-finetuned-amazon_review
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_anuragrawal_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_anuragrawal_en.md
new file mode 100644
index 000000000000..208c75aee0b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_anuragrawal_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_anuragrawal DistilBertForSequenceClassification from anuragrawal
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_anuragrawal
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_anuragrawal` is a English model originally trained by anuragrawal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_anuragrawal_en_5.2.0_3.0_1700387782177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_anuragrawal_en_5.2.0_3.0_1700387782177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_anuragrawal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anuragrawal/distilbert-base-uncased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_binary_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_binary_classifier_en.md
new file mode 100644
index 000000000000..fbaa934f582a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_binary_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_binary_classifier DistilBertForSequenceClassification from celise88
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_binary_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_binary_classifier` is a English model originally trained by celise88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_binary_classifier_en_5.2.0_3.0_1700436288774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_binary_classifier_en_5.2.0_3.0_1700436288774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_binary_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/celise88/distilbert-base-uncased-finetuned-binary-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_btc_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_btc_en.md
new file mode 100644
index 000000000000..e3350e2d0845
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_btc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_btc DistilBertForSequenceClassification from mmohamme
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_btc
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_btc` is a English model originally trained by mmohamme.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_btc_en_5.2.0_3.0_1700412830495.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_btc_en_5.2.0_3.0_1700412830495.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_btc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mmohamme/distilbert-base-uncased-finetuned-btc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_abdelkader_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_abdelkader_en.md
new file mode 100644
index 000000000000..cb13b6827538
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_abdelkader_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_abdelkader DistilBertForSequenceClassification from abdelkader
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_abdelkader
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_abdelkader` is a English model originally trained by abdelkader.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_abdelkader_en_5.2.0_3.0_1700409443475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_abdelkader_en_5.2.0_3.0_1700409443475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_abdelkader|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/abdelkader/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_arianpasquali_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_arianpasquali_en.md
new file mode 100644
index 000000000000..135666d2570a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_arianpasquali_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_arianpasquali DistilBertForSequenceClassification from arianpasquali
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_arianpasquali
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_arianpasquali` is a English model originally trained by arianpasquali.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_arianpasquali_en_5.2.0_3.0_1700422839449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_arianpasquali_en_5.2.0_3.0_1700422839449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_arianpasquali|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/arianpasquali/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_augustbang_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_augustbang_en.md
new file mode 100644
index 000000000000..8912afc28b41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_augustbang_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_augustbang DistilBertForSequenceClassification from Augustbang
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_augustbang
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_augustbang` is a English model originally trained by Augustbang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_augustbang_en_5.2.0_3.0_1700354453648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_augustbang_en_5.2.0_3.0_1700354453648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_augustbang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Augustbang/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_gouse_73_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_gouse_73_en.md
new file mode 100644
index 000000000000..a2550a78e649
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_gouse_73_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_gouse_73 DistilBertForSequenceClassification from gouse-73
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_gouse_73
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_gouse_73` is a English model originally trained by gouse-73.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_gouse_73_en_5.2.0_3.0_1700358574435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_gouse_73_en_5.2.0_3.0_1700358574435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_gouse_73|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/gouse-73/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_haesun_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_haesun_en.md
new file mode 100644
index 000000000000..d4eed90f2137
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_haesun_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_haesun DistilBertForSequenceClassification from haesun
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_haesun
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_haesun` is a English model originally trained by haesun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_haesun_en_5.2.0_3.0_1700365666265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_haesun_en_5.2.0_3.0_1700365666265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_haesun|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/haesun/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_k4west_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_k4west_en.md
new file mode 100644
index 000000000000..d0fff3c8364a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_k4west_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_k4west DistilBertForSequenceClassification from k4west
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_k4west
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_k4west` is a English model originally trained by k4west.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_k4west_en_5.2.0_3.0_1700357633691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_k4west_en_5.2.0_3.0_1700357633691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_k4west|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/k4west/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_lijingxin_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_lijingxin_en.md
new file mode 100644
index 000000000000..b1e549e5101e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_lijingxin_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_lijingxin DistilBertForSequenceClassification from lijingxin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_lijingxin
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_lijingxin` is a English model originally trained by lijingxin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_lijingxin_en_5.2.0_3.0_1700375815978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_lijingxin_en_5.2.0_3.0_1700375815978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_lijingxin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/lijingxin/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_omar95farag_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_omar95farag_en.md
new file mode 100644
index 000000000000..c0952592a33a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_omar95farag_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_omar95farag DistilBertForSequenceClassification from Omar95farag
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_omar95farag
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_omar95farag` is a English model originally trained by Omar95farag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_omar95farag_en_5.2.0_3.0_1700353548341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_omar95farag_en_5.2.0_3.0_1700353548341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_omar95farag|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Omar95farag/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_oos_nikitakapitan_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_oos_nikitakapitan_en.md
new file mode 100644
index 000000000000..1167941d9891
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_oos_nikitakapitan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_oos_nikitakapitan DistilBertForSequenceClassification from nikitakapitan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_oos_nikitakapitan
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_oos_nikitakapitan` is a English model originally trained by nikitakapitan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_oos_nikitakapitan_en_5.2.0_3.0_1700422900292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_oos_nikitakapitan_en_5.2.0_3.0_1700422900292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_oos_nikitakapitan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/nikitakapitan/distilbert-base-uncased-finetuned-clinc_oos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_patnelt60_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_patnelt60_en.md
new file mode 100644
index 000000000000..2e9b629776c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_patnelt60_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_patnelt60 DistilBertForSequenceClassification from patnelt60
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_patnelt60
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_patnelt60` is a English model originally trained by patnelt60.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_patnelt60_en_5.2.0_3.0_1700355543500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_patnelt60_en_5.2.0_3.0_1700355543500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_patnelt60|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/patnelt60/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_shiou0601_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_shiou0601_en.md
new file mode 100644
index 000000000000..482244c9dd57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_clinc_shiou0601_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_shiou0601 DistilBertForSequenceClassification from Shiou0601
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_shiou0601
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_shiou0601` is a English model originally trained by Shiou0601.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_shiou0601_en_5.2.0_3.0_1700407139956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_shiou0601_en_5.2.0_3.0_1700407139956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_shiou0601|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Shiou0601/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_3_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_3_en.md
new file mode 100644
index 000000000000..f7b29a5513c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_3 DistilBertForSequenceClassification from fadhilarkan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_3` is a English model originally trained by fadhilarkan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_3_en_5.2.0_3.0_1700408481332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_3_en_5.2.0_3.0_1700408481332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fadhilarkan/distilbert-base-uncased-finetuned-cola-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_4_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_4_en.md
new file mode 100644
index 000000000000..5ab68cbcbfea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_4 DistilBertForSequenceClassification from fadhilarkan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_4
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_4` is a English model originally trained by fadhilarkan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_4_en_5.2.0_3.0_1700418639006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_4_en_5.2.0_3.0_1700418639006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fadhilarkan/distilbert-base-uncased-finetuned-cola-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_akshara23_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_akshara23_en.md
new file mode 100644
index 000000000000..9c8d05fca5a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_akshara23_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_akshara23 DistilBertForSequenceClassification from akshara23
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_akshara23
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_akshara23` is a English model originally trained by akshara23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_akshara23_en_5.2.0_3.0_1700417039506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_akshara23_en_5.2.0_3.0_1700417039506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_akshara23|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/akshara23/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_athar_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_athar_en.md
new file mode 100644
index 000000000000..7493c04993c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_athar_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_athar DistilBertForSequenceClassification from athar
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_athar
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_athar` is a English model originally trained by athar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_athar_en_5.2.0_3.0_1700417638169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_athar_en_5.2.0_3.0_1700417638169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_athar|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/athar/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_avneet_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_avneet_en.md
new file mode 100644
index 000000000000..d074a59c0152
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_avneet_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_avneet DistilBertForSequenceClassification from avneet
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_avneet
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_avneet` is a English model originally trained by avneet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_avneet_en_5.2.0_3.0_1700398113516.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_avneet_en_5.2.0_3.0_1700398113516.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_avneet|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/avneet/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_banri_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_banri_en.md
new file mode 100644
index 000000000000..1fd5823c5346
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_banri_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_banri DistilBertForSequenceClassification from banri
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_banri
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_banri` is a English model originally trained by banri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_banri_en_5.2.0_3.0_1700428354347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_banri_en_5.2.0_3.0_1700428354347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_banri|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/banri/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_beomi_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_beomi_en.md
new file mode 100644
index 000000000000..237616d30163
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_beomi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_beomi DistilBertForSequenceClassification from beomi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_beomi
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_beomi` is a English model originally trained by beomi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_beomi_en_5.2.0_3.0_1700384958145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_beomi_en_5.2.0_3.0_1700384958145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_beomi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/beomi/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_caioamb_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_caioamb_en.md
new file mode 100644
index 000000000000..ab9c09e0c787
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_caioamb_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_caioamb DistilBertForSequenceClassification from caioamb
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_caioamb
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_caioamb` is a English model originally trained by caioamb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_caioamb_en_5.2.0_3.0_1700416280098.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_caioamb_en_5.2.0_3.0_1700416280098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_caioamb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/caioamb/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_donghyounglee_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_donghyounglee_en.md
new file mode 100644
index 000000000000..eb845fb9168f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_donghyounglee_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_donghyounglee DistilBertForSequenceClassification from DongHyoungLee
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_donghyounglee
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_donghyounglee` is a English model originally trained by DongHyoungLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_donghyounglee_en_5.2.0_3.0_1700354234833.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_donghyounglee_en_5.2.0_3.0_1700354234833.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_donghyounglee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DongHyoungLee/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_fadhilarkan_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_fadhilarkan_en.md
new file mode 100644
index 000000000000..a76a290366ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_fadhilarkan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_fadhilarkan DistilBertForSequenceClassification from fadhilarkan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_fadhilarkan
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_fadhilarkan` is a English model originally trained by fadhilarkan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fadhilarkan_en_5.2.0_3.0_1700395391116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fadhilarkan_en_5.2.0_3.0_1700395391116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_fadhilarkan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fadhilarkan/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_federicopascual_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_federicopascual_en.md
new file mode 100644
index 000000000000..29b422e07ad7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_federicopascual_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_federicopascual DistilBertForSequenceClassification from federicopascual
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_federicopascual
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_federicopascual` is a English model originally trained by federicopascual.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_federicopascual_en_5.2.0_3.0_1700435191805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_federicopascual_en_5.2.0_3.0_1700435191805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_federicopascual|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/federicopascual/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_fiona99_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_fiona99_en.md
new file mode 100644
index 000000000000..8986bd41c479
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_fiona99_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_fiona99 DistilBertForSequenceClassification from Fiona99
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_fiona99
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_fiona99` is a English model originally trained by Fiona99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fiona99_en_5.2.0_3.0_1700352896954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fiona99_en_5.2.0_3.0_1700352896954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_fiona99|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Fiona99/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_fuck_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_fuck_en.md
new file mode 100644
index 000000000000..5cb2b97ed622
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_fuck_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_fuck DistilBertForSequenceClassification from fuck
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_fuck
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_fuck` is a English model originally trained by fuck.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fuck_en_5.2.0_3.0_1700391568980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fuck_en_5.2.0_3.0_1700391568980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_fuck|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/fuck/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_gauravtripathy_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_gauravtripathy_en.md
new file mode 100644
index 000000000000..f5bfaebd80d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_gauravtripathy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_gauravtripathy DistilBertForSequenceClassification from gauravtripathy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_gauravtripathy
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_gauravtripathy` is a English model originally trained by gauravtripathy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_gauravtripathy_en_5.2.0_3.0_1700431241591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_gauravtripathy_en_5.2.0_3.0_1700431241591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_gauravtripathy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/gauravtripathy/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_hchc_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_hchc_en.md
new file mode 100644
index 000000000000..86614530c4bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_hchc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_hchc DistilBertForSequenceClassification from hchc
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_hchc
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_hchc` is a English model originally trained by hchc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hchc_en_5.2.0_3.0_1700414221739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hchc_en_5.2.0_3.0_1700414221739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_hchc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/hchc/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_hcjang1987_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_hcjang1987_en.md
new file mode 100644
index 000000000000..429afa361417
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_hcjang1987_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_hcjang1987 DistilBertForSequenceClassification from hcjang1987
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_hcjang1987
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_hcjang1987` is a English model originally trained by hcjang1987.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hcjang1987_en_5.2.0_3.0_1700400996391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hcjang1987_en_5.2.0_3.0_1700400996391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_hcjang1987|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hcjang1987/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_himanshubeniwal_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_himanshubeniwal_en.md
new file mode 100644
index 000000000000..33f59e887f1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_himanshubeniwal_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_himanshubeniwal DistilBertForSequenceClassification from himanshubeniwal
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_himanshubeniwal
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_himanshubeniwal` is a English model originally trained by himanshubeniwal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_himanshubeniwal_en_5.2.0_3.0_1700390474969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_himanshubeniwal_en_5.2.0_3.0_1700390474969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_himanshubeniwal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/himanshubeniwal/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_hinova_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_hinova_en.md
new file mode 100644
index 000000000000..1ca968d76040
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_hinova_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_hinova DistilBertForSequenceClassification from Hinova
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_hinova
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_hinova` is a English model originally trained by Hinova.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hinova_en_5.2.0_3.0_1700354088423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_hinova_en_5.2.0_3.0_1700354088423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_hinova|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Hinova/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_histinct7002_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_histinct7002_en.md
new file mode 100644
index 000000000000..e79b933fcab8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_histinct7002_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_histinct7002 DistilBertForSequenceClassification from histinct7002
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_histinct7002
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_histinct7002` is a English model originally trained by histinct7002.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_histinct7002_en_5.2.0_3.0_1700427605400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_histinct7002_en_5.2.0_3.0_1700427605400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_histinct7002|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/histinct7002/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_jbnlry_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_jbnlry_en.md
new file mode 100644
index 000000000000..553353726684
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_jbnlry_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_jbnlry DistilBertForSequenceClassification from JBNLRY
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_jbnlry
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_jbnlry` is a English model originally trained by JBNLRY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jbnlry_en_5.2.0_3.0_1700352428155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jbnlry_en_5.2.0_3.0_1700352428155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_jbnlry|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/JBNLRY/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_ldacunto_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_ldacunto_en.md
new file mode 100644
index 000000000000..186f1cfc6491
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_ldacunto_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_ldacunto DistilBertForSequenceClassification from ldacunto
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_ldacunto
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_ldacunto` is a English model originally trained by ldacunto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ldacunto_en_5.2.0_3.0_1700424422871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_ldacunto_en_5.2.0_3.0_1700424422871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_ldacunto|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ldacunto/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_nalinik_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_nalinik_en.md
new file mode 100644
index 000000000000..847e81907e3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_nalinik_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_nalinik DistilBertForSequenceClassification from NaliniK
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_nalinik
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_nalinik` is a English model originally trained by NaliniK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nalinik_en_5.2.0_3.0_1700353015931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nalinik_en_5.2.0_3.0_1700353015931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_nalinik|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/NaliniK/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_nxtcoder19_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_nxtcoder19_en.md
new file mode 100644
index 000000000000..b0aca92b831c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_nxtcoder19_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_nxtcoder19 DistilBertForSequenceClassification from nxtcoder19
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_nxtcoder19
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_nxtcoder19` is a English model originally trained by nxtcoder19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nxtcoder19_en_5.2.0_3.0_1700370061011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_nxtcoder19_en_5.2.0_3.0_1700370061011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_nxtcoder19|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/nxtcoder19/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_seanghay_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_seanghay_en.md
new file mode 100644
index 000000000000..2875a4ef9dcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_seanghay_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_seanghay DistilBertForSequenceClassification from seanghay
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_seanghay
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_seanghay` is a English model originally trained by seanghay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_seanghay_en_5.2.0_3.0_1700400209145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_seanghay_en_5.2.0_3.0_1700400209145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_seanghay|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/seanghay/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_songrb_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_songrb_en.md
new file mode 100644
index 000000000000..ce8d8836957c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_songrb_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_songrb DistilBertForSequenceClassification from SongRb
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_songrb
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_songrb` is a English model originally trained by SongRb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_songrb_en_5.2.0_3.0_1700363870892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_songrb_en_5.2.0_3.0_1700363870892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_songrb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SongRb/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_stuser2023_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_stuser2023_en.md
new file mode 100644
index 000000000000..7108acb49cdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_stuser2023_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_stuser2023 DistilBertForSequenceClassification from stuser2023
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_stuser2023
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_stuser2023` is a English model originally trained by stuser2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_stuser2023_en_5.2.0_3.0_1700425444712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_stuser2023_en_5.2.0_3.0_1700425444712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_stuser2023|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/stuser2023/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_v3rx2000_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_v3rx2000_en.md
new file mode 100644
index 000000000000..2c0932ffa7fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_v3rx2000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_v3rx2000 DistilBertForSequenceClassification from V3RX2000
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_v3rx2000
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_v3rx2000` is a English model originally trained by V3RX2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_v3rx2000_en_5.2.0_3.0_1700428445964.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_v3rx2000_en_5.2.0_3.0_1700428445964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_v3rx2000|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/V3RX2000/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_virens13117_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_virens13117_en.md
new file mode 100644
index 000000000000..bd4fb9d1258c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_virens13117_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_virens13117 DistilBertForSequenceClassification from VirenS13117
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_virens13117
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_virens13117` is a English model originally trained by VirenS13117.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_virens13117_en_5.2.0_3.0_1700416280100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_virens13117_en_5.2.0_3.0_1700416280100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_virens13117|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/VirenS13117/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_zzddbbcc_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_zzddbbcc_en.md
new file mode 100644
index 000000000000..bf5dd6950159
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_cola_zzddbbcc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_zzddbbcc DistilBertForSequenceClassification from ZZDDBBCC
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_zzddbbcc
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_zzddbbcc` is a English model originally trained by ZZDDBBCC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zzddbbcc_en_5.2.0_3.0_1700415196038.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zzddbbcc_en_5.2.0_3.0_1700415196038.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_zzddbbcc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ZZDDBBCC/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_diabetes_sentences_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_diabetes_sentences_en.md
new file mode 100644
index 000000000000..df7b7e70e3af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_diabetes_sentences_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_diabetes_sentences DistilBertForSequenceClassification from conorjudge
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_diabetes_sentences
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_diabetes_sentences` is a English model originally trained by conorjudge.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_diabetes_sentences_en_5.2.0_3.0_1700432236985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_diabetes_sentences_en_5.2.0_3.0_1700432236985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_diabetes_sentences|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/conorjudge/distilbert-base-uncased-finetuned-diabetes_sentences
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_aatmasidha_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_aatmasidha_en.md
new file mode 100644
index 000000000000..707d8cf2f707
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_aatmasidha_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_aatmasidha DistilBertForSequenceClassification from aatmasidha
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_aatmasidha
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_aatmasidha` is a English model originally trained by aatmasidha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aatmasidha_en_5.2.0_3.0_1700397230879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_aatmasidha_en_5.2.0_3.0_1700397230879.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_aatmasidha|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aatmasidha/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_abdelkader_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_abdelkader_en.md
new file mode 100644
index 000000000000..bc2518b3581b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_abdelkader_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_abdelkader DistilBertForSequenceClassification from abdelkader
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_abdelkader
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_abdelkader` is a English model originally trained by abdelkader.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abdelkader_en_5.2.0_3.0_1700403101004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abdelkader_en_5.2.0_3.0_1700403101004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_abdelkader|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abdelkader/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ahmed007_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ahmed007_en.md
new file mode 100644
index 000000000000..5591b78f62c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ahmed007_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ahmed007 DistilBertForSequenceClassification from Ahmed007
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ahmed007
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ahmed007` is a English model originally trained by Ahmed007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ahmed007_en_5.2.0_3.0_1700377654354.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ahmed007_en_5.2.0_3.0_1700377654354.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ahmed007|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Ahmed007/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ahmettasdemir_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ahmettasdemir_en.md
new file mode 100644
index 000000000000..575c63b3ef75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ahmettasdemir_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ahmettasdemir DistilBertForSequenceClassification from ahmettasdemir
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ahmettasdemir
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ahmettasdemir` is a English model originally trained by ahmettasdemir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ahmettasdemir_en_5.2.0_3.0_1700418639017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ahmettasdemir_en_5.2.0_3.0_1700418639017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ahmettasdemir|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ahmettasdemir/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_andreastgram_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_andreastgram_en.md
new file mode 100644
index 000000000000..26d0212f323d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_andreastgram_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_andreastgram DistilBertForSequenceClassification from andreastgram
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_andreastgram
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_andreastgram` is a English model originally trained by andreastgram.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andreastgram_en_5.2.0_3.0_1700435381235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andreastgram_en_5.2.0_3.0_1700435381235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_andreastgram|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andreastgram/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_asalics_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_asalics_en.md
new file mode 100644
index 000000000000..2c4f83bf79fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_asalics_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_asalics DistilBertForSequenceClassification from asalics
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_asalics
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_asalics` is a English model originally trained by asalics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_asalics_en_5.2.0_3.0_1700436509010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_asalics_en_5.2.0_3.0_1700436509010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_asalics|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/asalics/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_atsstagram_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_atsstagram_en.md
new file mode 100644
index 000000000000..3cd08b1a1990
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_atsstagram_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_atsstagram DistilBertForSequenceClassification from atsstagram
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_atsstagram
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_atsstagram` is a English model originally trained by atsstagram.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_atsstagram_en_5.2.0_3.0_1700378665941.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_atsstagram_en_5.2.0_3.0_1700378665941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_atsstagram|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/atsstagram/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_balanced_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_balanced_en.md
new file mode 100644
index 000000000000..7c2d779a370f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_balanced_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_balanced DistilBertForSequenceClassification from AdamCodd
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_balanced
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_balanced` is a English model originally trained by AdamCodd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_balanced_en_5.2.0_3.0_1700356694289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_balanced_en_5.2.0_3.0_1700356694289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_balanced|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AdamCodd/distilbert-base-uncased-finetuned-emotion-balanced
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_bellaandbria_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_bellaandbria_en.md
new file mode 100644
index 000000000000..ad9843fda7b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_bellaandbria_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_bellaandbria DistilBertForSequenceClassification from BellaAndBria
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_bellaandbria
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bellaandbria` is a English model originally trained by BellaAndBria.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bellaandbria_en_5.2.0_3.0_1700374198407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bellaandbria_en_5.2.0_3.0_1700374198407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_bellaandbria|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BellaAndBria/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_bhadresh_savani_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_bhadresh_savani_en.md
new file mode 100644
index 000000000000..d546057aad9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_bhadresh_savani_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_bhadresh_savani DistilBertForSequenceClassification from bhadresh-savani
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_bhadresh_savani
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bhadresh_savani` is a English model originally trained by bhadresh-savani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bhadresh_savani_en_5.2.0_3.0_1700429966870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bhadresh_savani_en_5.2.0_3.0_1700429966870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_bhadresh_savani|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bhadresh-savani/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_carlosaguayo_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_carlosaguayo_en.md
new file mode 100644
index 000000000000..7fc0bce73882
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_carlosaguayo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_carlosaguayo DistilBertForSequenceClassification from carlosaguayo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_carlosaguayo
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_carlosaguayo` is a English model originally trained by carlosaguayo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carlosaguayo_en_5.2.0_3.0_1700409930063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carlosaguayo_en_5.2.0_3.0_1700409930063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_carlosaguayo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/carlosaguayo/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_carnival13_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_carnival13_en.md
new file mode 100644
index 000000000000..90f22a3ff5ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_carnival13_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_carnival13 DistilBertForSequenceClassification from carnival13
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_carnival13
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_carnival13` is a English model originally trained by carnival13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carnival13_en_5.2.0_3.0_1700367165604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carnival13_en_5.2.0_3.0_1700367165604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_carnival13|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/carnival13/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_cementtaco_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_cementtaco_en.md
new file mode 100644
index 000000000000..52c573df6068
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_cementtaco_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cementtaco DistilBertForSequenceClassification from cementtaco
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cementtaco
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cementtaco` is a English model originally trained by cementtaco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cementtaco_en_5.2.0_3.0_1700361702601.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cementtaco_en_5.2.0_3.0_1700361702601.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cementtaco|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cementtaco/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_chsafouane_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_chsafouane_en.md
new file mode 100644
index 000000000000..31827d2802b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_chsafouane_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_chsafouane DistilBertForSequenceClassification from chsafouane
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_chsafouane
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_chsafouane` is a English model originally trained by chsafouane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_chsafouane_en_5.2.0_3.0_1700394895874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_chsafouane_en_5.2.0_3.0_1700394895874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_chsafouane|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chsafouane/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_comic_owl_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_comic_owl_en.md
new file mode 100644
index 000000000000..78cacb986ae9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_comic_owl_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_comic_owl DistilBertForSequenceClassification from comic-owl
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_comic_owl
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_comic_owl` is a English model originally trained by comic-owl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_comic_owl_en_5.2.0_3.0_1700393091813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_comic_owl_en_5.2.0_3.0_1700393091813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_comic_owl|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/comic-owl/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_cscottp27_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_cscottp27_en.md
new file mode 100644
index 000000000000..d70c717bb5b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_cscottp27_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cscottp27 DistilBertForSequenceClassification from cscottp27
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cscottp27
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cscottp27` is a English model originally trained by cscottp27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cscottp27_en_5.2.0_3.0_1700411371068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cscottp27_en_5.2.0_3.0_1700411371068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cscottp27|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cscottp27/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_daigo1126_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_daigo1126_en.md
new file mode 100644
index 000000000000..bdccf82302b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_daigo1126_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_daigo1126 DistilBertForSequenceClassification from DAIGO1126
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_daigo1126
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_daigo1126` is a English model originally trained by DAIGO1126.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_daigo1126_en_5.2.0_3.0_1700398216936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_daigo1126_en_5.2.0_3.0_1700398216936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_daigo1126|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DAIGO1126/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_detector_from_text_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_detector_from_text_en.md
new file mode 100644
index 000000000000..dc7c15b436c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_detector_from_text_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_detector_from_text DistilBertForSequenceClassification from ali619
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_detector_from_text
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_detector_from_text` is a English model originally trained by ali619.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_detector_from_text_en_5.2.0_3.0_1700399087478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_detector_from_text_en_5.2.0_3.0_1700399087478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_detector_from_text|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ali619/distilbert-base-uncased-finetuned-emotion-detector-from-text
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_duyne_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_duyne_en.md
new file mode 100644
index 000000000000..c4fda827121a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_duyne_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_duyne DistilBertForSequenceClassification from duyne
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_duyne
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_duyne` is a English model originally trained by duyne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duyne_en_5.2.0_3.0_1700409110917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duyne_en_5.2.0_3.0_1700409110917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_duyne|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/duyne/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_edmon02_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_edmon02_en.md
new file mode 100644
index 000000000000..77e4466613a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_edmon02_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_edmon02 DistilBertForSequenceClassification from Edmon02
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_edmon02
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_edmon02` is a English model originally trained by Edmon02.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_edmon02_en_5.2.0_3.0_1700403833986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_edmon02_en_5.2.0_3.0_1700403833986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_edmon02|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Edmon02/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_eleven_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_eleven_en.md
new file mode 100644
index 000000000000..95476550e77b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_eleven_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_eleven DistilBertForSequenceClassification from Eleven
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_eleven
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_eleven` is a English model originally trained by Eleven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_eleven_en_5.2.0_3.0_1700415197427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_eleven_en_5.2.0_3.0_1700415197427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_eleven|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Eleven/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_energytrain7_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_energytrain7_en.md
new file mode 100644
index 000000000000..daa18eb3c71d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_energytrain7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_energytrain7 DistilBertForSequenceClassification from energytrain7
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_energytrain7
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_energytrain7` is a English model originally trained by energytrain7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_energytrain7_en_5.2.0_3.0_1700392823203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_energytrain7_en_5.2.0_3.0_1700392823203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_energytrain7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/energytrain7/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ensaremirali_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ensaremirali_en.md
new file mode 100644
index 000000000000..0867a485840b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ensaremirali_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ensaremirali DistilBertForSequenceClassification from EnsarEmirali
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ensaremirali
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ensaremirali` is a English model originally trained by EnsarEmirali.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ensaremirali_en_5.2.0_3.0_1700353396110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ensaremirali_en_5.2.0_3.0_1700353396110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ensaremirali|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/EnsarEmirali/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_facehugger135_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_facehugger135_en.md
new file mode 100644
index 000000000000..be503a715850
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_facehugger135_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_facehugger135 DistilBertForSequenceClassification from Facehugger135
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_facehugger135
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_facehugger135` is a English model originally trained by Facehugger135.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_facehugger135_en_5.2.0_3.0_1700359603662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_facehugger135_en_5.2.0_3.0_1700359603662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_facehugger135|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Facehugger135/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_feladorhet_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_feladorhet_en.md
new file mode 100644
index 000000000000..a564c5703360
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_feladorhet_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_feladorhet DistilBertForSequenceClassification from feladorhet
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_feladorhet
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_feladorhet` is a English model originally trained by feladorhet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_feladorhet_en_5.2.0_3.0_1700411371053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_feladorhet_en_5.2.0_3.0_1700411371053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_feladorhet|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/feladorhet/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ffalcao_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ffalcao_en.md
new file mode 100644
index 000000000000..73847998698f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_ffalcao_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ffalcao DistilBertForSequenceClassification from ffalcao
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ffalcao
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ffalcao` is a English model originally trained by ffalcao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ffalcao_en_5.2.0_3.0_1700378989172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ffalcao_en_5.2.0_3.0_1700378989172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ffalcao|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ffalcao/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_fouad_shammary_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_fouad_shammary_en.md
new file mode 100644
index 000000000000..38c1a4ff1e48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_fouad_shammary_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_fouad_shammary DistilBertForSequenceClassification from fouad-shammary
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_fouad_shammary
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_fouad_shammary` is a English model originally trained by fouad-shammary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fouad_shammary_en_5.2.0_3.0_1700417638566.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_fouad_shammary_en_5.2.0_3.0_1700417638566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_fouad_shammary|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fouad-shammary/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_frahman_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_frahman_en.md
new file mode 100644
index 000000000000..97f48456b5f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_frahman_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_frahman DistilBertForSequenceClassification from frahman
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_frahman
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_frahman` is a English model originally trained by frahman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_frahman_en_5.2.0_3.0_1700419845613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_frahman_en_5.2.0_3.0_1700419845613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_frahman|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/frahman/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_gcmsrc_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_gcmsrc_en.md
new file mode 100644
index 000000000000..874612a07084
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_gcmsrc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_gcmsrc DistilBertForSequenceClassification from gcmsrc
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_gcmsrc
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_gcmsrc` is a English model originally trained by gcmsrc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gcmsrc_en_5.2.0_3.0_1700392587117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_gcmsrc_en_5.2.0_3.0_1700392587117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_gcmsrc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gcmsrc/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_haesun_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_haesun_en.md
new file mode 100644
index 000000000000..7ca82504a98b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_haesun_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_haesun DistilBertForSequenceClassification from haesun
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_haesun
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_haesun` is a English model originally trained by haesun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_haesun_en_5.2.0_3.0_1700352606359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_haesun_en_5.2.0_3.0_1700352606359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_haesun|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/haesun/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_hbtemari_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_hbtemari_en.md
new file mode 100644
index 000000000000..1b3c5ab32c86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_hbtemari_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_hbtemari DistilBertForSequenceClassification from HBtemari
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_hbtemari
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hbtemari` is a English model originally trained by HBtemari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hbtemari_en_5.2.0_3.0_1700383788863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hbtemari_en_5.2.0_3.0_1700383788863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_hbtemari|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/HBtemari/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_hidetai_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_hidetai_en.md
new file mode 100644
index 000000000000..024a3943a9ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_hidetai_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_hidetai DistilBertForSequenceClassification from hidetai
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_hidetai
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hidetai` is a English model originally trained by hidetai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hidetai_en_5.2.0_3.0_1700361702598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hidetai_en_5.2.0_3.0_1700361702598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_hidetai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hidetai/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_hpl_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_hpl_en.md
new file mode 100644
index 000000000000..bae672e00e49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_hpl_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_hpl DistilBertForSequenceClassification from HPL
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_hpl
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_hpl` is a English model originally trained by HPL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hpl_en_5.2.0_3.0_1700406653320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_hpl_en_5.2.0_3.0_1700406653320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_hpl|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/HPL/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_huseyn92_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_huseyn92_en.md
new file mode 100644
index 000000000000..66e87a3ace63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_huseyn92_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_huseyn92 DistilBertForSequenceClassification from Huseyn92
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_huseyn92
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_huseyn92` is a English model originally trained by Huseyn92.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_huseyn92_en_5.2.0_3.0_1700365666127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_huseyn92_en_5.2.0_3.0_1700365666127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_huseyn92|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Huseyn92/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_jerrym_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_jerrym_en.md
new file mode 100644
index 000000000000..bac52044ee80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_jerrym_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jerrym DistilBertForSequenceClassification from JerryM
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jerrym
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jerrym` is a English model originally trained by JerryM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jerrym_en_5.2.0_3.0_1700434226351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jerrym_en_5.2.0_3.0_1700434226351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jerrym|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JerryM/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_jliew_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_jliew_en.md
new file mode 100644
index 000000000000..78ab75f6ad9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_jliew_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jliew DistilBertForSequenceClassification from jliew
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jliew
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jliew` is a English model originally trained by jliew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jliew_en_5.2.0_3.0_1700434875538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jliew_en_5.2.0_3.0_1700434875538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jliew|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jliew/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_kidzy_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_kidzy_en.md
new file mode 100644
index 000000000000..a669d7a68e2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_kidzy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kidzy DistilBertForSequenceClassification from kidzy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kidzy
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kidzy` is a English model originally trained by kidzy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kidzy_en_5.2.0_3.0_1700397733666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kidzy_en_5.2.0_3.0_1700397733666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kidzy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kidzy/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_kiran146_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_kiran146_en.md
new file mode 100644
index 000000000000..6b53792dc18f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_kiran146_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kiran146 DistilBertForSequenceClassification from Kiran146
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kiran146
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kiran146` is a English model originally trained by Kiran146.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kiran146_en_5.2.0_3.0_1700353545981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kiran146_en_5.2.0_3.0_1700353545981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kiran146|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kiran146/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_kjunelee_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_kjunelee_en.md
new file mode 100644
index 000000000000..1352f31ea52c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_kjunelee_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kjunelee DistilBertForSequenceClassification from kjunelee
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kjunelee
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kjunelee` is a English model originally trained by kjunelee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kjunelee_en_5.2.0_3.0_1700438002021.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kjunelee_en_5.2.0_3.0_1700438002021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kjunelee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kjunelee/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_lauer_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_lauer_en.md
new file mode 100644
index 000000000000..d484832c1be2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_lauer_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_lauer DistilBertForSequenceClassification from lauer
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_lauer
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lauer` is a English model originally trained by lauer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lauer_en_5.2.0_3.0_1700399369031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lauer_en_5.2.0_3.0_1700399369031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_lauer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lauer/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_lewiswatson_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_lewiswatson_en.md
new file mode 100644
index 000000000000..d1d64e839180
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_lewiswatson_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_lewiswatson DistilBertForSequenceClassification from lewiswatson
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_lewiswatson
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lewiswatson` is a English model originally trained by lewiswatson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lewiswatson_en_5.2.0_3.0_1700386843962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lewiswatson_en_5.2.0_3.0_1700386843962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_lewiswatson|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lewiswatson/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_leyuxzhang_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_leyuxzhang_en.md
new file mode 100644
index 000000000000..f32d298cee1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_leyuxzhang_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_leyuxzhang DistilBertForSequenceClassification from leyuxzhang
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_leyuxzhang
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_leyuxzhang` is a English model originally trained by leyuxzhang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leyuxzhang_en_5.2.0_3.0_1700353673498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_leyuxzhang_en_5.2.0_3.0_1700353673498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_leyuxzhang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/leyuxzhang/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_linuxcoder_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_linuxcoder_en.md
new file mode 100644
index 000000000000..493f36f61b02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_linuxcoder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_linuxcoder DistilBertForSequenceClassification from linuxcoder
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_linuxcoder
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_linuxcoder` is a English model originally trained by linuxcoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_linuxcoder_en_5.2.0_3.0_1700374879058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_linuxcoder_en_5.2.0_3.0_1700374879058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_linuxcoder|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/linuxcoder/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_loveplay1983_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_loveplay1983_en.md
new file mode 100644
index 000000000000..7a7bb5232e78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_loveplay1983_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_loveplay1983 DistilBertForSequenceClassification from loveplay1983
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_loveplay1983
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_loveplay1983` is a English model originally trained by loveplay1983.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_loveplay1983_en_5.2.0_3.0_1700358440207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_loveplay1983_en_5.2.0_3.0_1700358440207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_loveplay1983|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/loveplay1983/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_lr_0_0003_wd_003_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_lr_0_0003_wd_003_en.md
new file mode 100644
index 000000000000..7187658393fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_lr_0_0003_wd_003_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_lr_0_0003_wd_003 DistilBertForSequenceClassification from sayakpaul
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_lr_0_0003_wd_003
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_lr_0_0003_wd_003` is a English model originally trained by sayakpaul.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lr_0_0003_wd_003_en_5.2.0_3.0_1700393418847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lr_0_0003_wd_003_en_5.2.0_3.0_1700393418847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_lr_0_0003_wd_003|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sayakpaul/distilbert-base-uncased-finetuned-emotion-lr-0.0003-wd-003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_movies_186k_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_movies_186k_en.md
new file mode 100644
index 000000000000..75026ecd4d99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_movies_186k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_movies_186k DistilBertForSequenceClassification from TFMUNIR
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_movies_186k
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_movies_186k` is a English model originally trained by TFMUNIR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_movies_186k_en_5.2.0_3.0_1700402177258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_movies_186k_en_5.2.0_3.0_1700402177258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_movies_186k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TFMUNIR/distilbert-base-uncased-finetuned-emotion-movies-186k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_nebo333_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_nebo333_en.md
new file mode 100644
index 000000000000..f44c8799ee22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_nebo333_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nebo333 DistilBertForSequenceClassification from nebo333
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nebo333
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nebo333` is a English model originally trained by nebo333.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nebo333_en_5.2.0_3.0_1700425376468.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nebo333_en_5.2.0_3.0_1700425376468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_nebo333|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nebo333/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_part_2_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_part_2_en.md
new file mode 100644
index 000000000000..8bd55b41ae89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_part_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_part_2 DistilBertForSequenceClassification from Svngoku
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_part_2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_part_2` is a English model originally trained by Svngoku.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_part_2_en_5.2.0_3.0_1700394585014.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_part_2_en_5.2.0_3.0_1700394585014.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_part_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Svngoku/distilbert-base-uncased-finetuned-emotion-part-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_postrational_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_postrational_en.md
new file mode 100644
index 000000000000..4f9a91ec2fa2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_postrational_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_postrational DistilBertForSequenceClassification from postrational
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_postrational
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_postrational` is a English model originally trained by postrational.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_postrational_en_5.2.0_3.0_1700369584055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_postrational_en_5.2.0_3.0_1700369584055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_postrational|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/postrational/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_realyinchen_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_realyinchen_en.md
new file mode 100644
index 000000000000..9c06ff32ab39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_realyinchen_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_realyinchen DistilBertForSequenceClassification from realyinchen
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_realyinchen
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_realyinchen` is a English model originally trained by realyinchen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_realyinchen_en_5.2.0_3.0_1700401044763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_realyinchen_en_5.2.0_3.0_1700401044763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_realyinchen|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/realyinchen/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_reatiny_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_reatiny_en.md
new file mode 100644
index 000000000000..55c70d5380c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_reatiny_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_reatiny DistilBertForSequenceClassification from reatiny
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_reatiny
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_reatiny` is a English model originally trained by reatiny.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_reatiny_en_5.2.0_3.0_1700420900389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_reatiny_en_5.2.0_3.0_1700420900389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_reatiny|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/reatiny/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_sabre_code_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_sabre_code_en.md
new file mode 100644
index 000000000000..b70a1e5a6160
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_sabre_code_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sabre_code DistilBertForSequenceClassification from sabre-code
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sabre_code
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sabre_code` is a English model originally trained by sabre-code.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sabre_code_en_5.2.0_3.0_1700422938301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sabre_code_en_5.2.0_3.0_1700422938301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sabre_code|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sabre-code/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_sajjad333_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_sajjad333_en.md
new file mode 100644
index 000000000000..71717ee0af1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_sajjad333_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sajjad333 DistilBertForSequenceClassification from sajjad333
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sajjad333
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sajjad333` is a English model originally trained by sajjad333.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sajjad333_en_5.2.0_3.0_1700356883331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sajjad333_en_5.2.0_3.0_1700356883331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sajjad333|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sajjad333/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_samrfreitas_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_samrfreitas_en.md
new file mode 100644
index 000000000000..597ebe9a5e0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_samrfreitas_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_samrfreitas DistilBertForSequenceClassification from samrfreitas
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_samrfreitas
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_samrfreitas` is a English model originally trained by samrfreitas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_samrfreitas_en_5.2.0_3.0_1700401132501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_samrfreitas_en_5.2.0_3.0_1700401132501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_samrfreitas|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/samrfreitas/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_songys_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_songys_en.md
new file mode 100644
index 000000000000..2a287304a20b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_songys_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_songys DistilBertForSequenceClassification from songys
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_songys
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_songys` is a English model originally trained by songys.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_songys_en_5.2.0_3.0_1700429444948.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_songys_en_5.2.0_3.0_1700429444948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_songys|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/songys/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_sunidhishetty_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_sunidhishetty_en.md
new file mode 100644
index 000000000000..0a1ddd27cb76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_sunidhishetty_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sunidhishetty DistilBertForSequenceClassification from sunidhishetty
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sunidhishetty
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sunidhishetty` is a English model originally trained by sunidhishetty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sunidhishetty_en_5.2.0_3.0_1700378806729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sunidhishetty_en_5.2.0_3.0_1700378806729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sunidhishetty|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sunidhishetty/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_tirendaz_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_tirendaz_en.md
new file mode 100644
index 000000000000..87c8535893c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_tirendaz_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_tirendaz DistilBertForSequenceClassification from Tirendaz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_tirendaz
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tirendaz` is a English model originally trained by Tirendaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tirendaz_en_5.2.0_3.0_1700381604141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tirendaz_en_5.2.0_3.0_1700381604141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_tirendaz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tirendaz/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_worldman_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_worldman_en.md
new file mode 100644
index 000000000000..65b66ff34a6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_worldman_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_worldman DistilBertForSequenceClassification from Worldman
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_worldman
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_worldman` is a English model originally trained by Worldman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_worldman_en_5.2.0_3.0_1700424538239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_worldman_en_5.2.0_3.0_1700424538239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_worldman|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Worldman/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_yejinkim_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_yejinkim_en.md
new file mode 100644
index 000000000000..afbb707b7f8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_yejinkim_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_yejinkim DistilBertForSequenceClassification from yejinkim
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_yejinkim
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yejinkim` is a English model originally trained by yejinkim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yejinkim_en_5.2.0_3.0_1700410234104.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yejinkim_en_5.2.0_3.0_1700410234104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_yejinkim|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yejinkim/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_zorualyh_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_zorualyh_en.md
new file mode 100644
index 000000000000..2602a211ea81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_emotion_zorualyh_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_zorualyh DistilBertForSequenceClassification from Zorualyh
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_zorualyh
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_zorualyh` is a English model originally trained by Zorualyh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zorualyh_en_5.2.0_3.0_1700378677431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zorualyh_en_5.2.0_3.0_1700378677431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_zorualyh|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Zorualyh/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_fashion_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_fashion_en.md
new file mode 100644
index 000000000000..cd57a83aa2f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_fashion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_fashion DistilBertForSequenceClassification from rasta
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_fashion
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_fashion` is a English model originally trained by rasta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_fashion_en_5.2.0_3.0_1700377196972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_fashion_en_5.2.0_3.0_1700377196972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_fashion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rasta/distilbert-base-uncased-finetuned-fashion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_go_emotions_20220608_1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_go_emotions_20220608_1_en.md
new file mode 100644
index 000000000000..83f1917977b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_go_emotions_20220608_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_go_emotions_20220608_1 DistilBertForSequenceClassification from jungealexander
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_go_emotions_20220608_1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_go_emotions_20220608_1` is a English model originally trained by jungealexander.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_go_emotions_20220608_1_en_5.2.0_3.0_1700353390789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_go_emotions_20220608_1_en_5.2.0_3.0_1700353390789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_go_emotions_20220608_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jungealexander/distilbert-base-uncased-finetuned-go_emotions_20220608_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_greenplastics_small_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_greenplastics_small_en.md
new file mode 100644
index 000000000000..256bee6694be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_greenplastics_small_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_greenplastics_small DistilBertForSequenceClassification from cwinkler
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_greenplastics_small
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_greenplastics_small` is a English model originally trained by cwinkler.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_greenplastics_small_en_5.2.0_3.0_1700369056309.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_greenplastics_small_en_5.2.0_3.0_1700369056309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_greenplastics_small|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/cwinkler/distilbert-base-uncased-finetuned-greenplastics-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_health_facts_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_health_facts_en.md
new file mode 100644
index 000000000000..c0c84aee1f4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_health_facts_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_health_facts DistilBertForSequenceClassification from austinmw
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_health_facts
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_health_facts` is a English model originally trained by austinmw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_health_facts_en_5.2.0_3.0_1700401882354.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_health_facts_en_5.2.0_3.0_1700401882354.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_health_facts|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/austinmw/distilbert-base-uncased-finetuned-health_facts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_imdb_blur_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_imdb_blur_en.md
new file mode 100644
index 000000000000..8e6d021652a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_imdb_blur_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_blur DistilBertForSequenceClassification from sahn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_blur
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_blur` is a English model originally trained by sahn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_blur_en_5.2.0_3.0_1700372164137.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_blur_en_5.2.0_3.0_1700372164137.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_blur|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sahn/distilbert-base-uncased-finetuned-imdb-blur
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_imdb_sahn_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_imdb_sahn_en.md
new file mode 100644
index 000000000000..84ca94b48e35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_imdb_sahn_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_sahn DistilBertForSequenceClassification from sahn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_sahn
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_sahn` is a English model originally trained by sahn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_sahn_en_5.2.0_3.0_1700422938422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_sahn_en_5.2.0_3.0_1700422938422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_sahn|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sahn/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_imdb_subtle_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_imdb_subtle_en.md
new file mode 100644
index 000000000000..a0eb62735ceb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_imdb_subtle_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_subtle DistilBertForSequenceClassification from sahn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_subtle
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_subtle` is a English model originally trained by sahn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_subtle_en_5.2.0_3.0_1700422044785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_subtle_en_5.2.0_3.0_1700422044785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_subtle|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sahn/distilbert-base-uncased-finetuned-imdb-subtle
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_katsiaryna_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_katsiaryna_en.md
new file mode 100644
index 000000000000..92269f8e436e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_katsiaryna_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_katsiaryna DistilBertForSequenceClassification from Katsiaryna
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_katsiaryna
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_katsiaryna` is a English model originally trained by Katsiaryna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_katsiaryna_en_5.2.0_3.0_1700353848963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_katsiaryna_en_5.2.0_3.0_1700353848963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_katsiaryna|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Katsiaryna/distilbert-base-uncased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_mnli_blizrys_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_mnli_blizrys_en.md
new file mode 100644
index 000000000000..66152c9c7bc4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_mnli_blizrys_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_mnli_blizrys DistilBertForSequenceClassification from blizrys
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_mnli_blizrys
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mnli_blizrys` is a English model originally trained by blizrys.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mnli_blizrys_en_5.2.0_3.0_1700391534419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mnli_blizrys_en_5.2.0_3.0_1700391534419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_mnli_blizrys|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/blizrys/distilbert-base-uncased-finetuned-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_mnli_seishin_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_mnli_seishin_en.md
new file mode 100644
index 000000000000..467006a88fac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_mnli_seishin_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_mnli_seishin DistilBertForSequenceClassification from SEISHIN
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_mnli_seishin
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mnli_seishin` is a English model originally trained by SEISHIN.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mnli_seishin_en_5.2.0_3.0_1700353196055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mnli_seishin_en_5.2.0_3.0_1700353196055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_mnli_seishin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SEISHIN/distilbert-base-uncased-finetuned-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_moral_action_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_moral_action_en.md
new file mode 100644
index 000000000000..cb82cb082350
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_moral_action_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_moral_action DistilBertForSequenceClassification from agi-css
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_moral_action
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_moral_action` is a English model originally trained by agi-css.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_moral_action_en_5.2.0_3.0_1700421835888.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_moral_action_en_5.2.0_3.0_1700421835888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_moral_action|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/agi-css/distilbert-base-uncased-finetuned-moral-action
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_mrpc_anirudh21_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_mrpc_anirudh21_en.md
new file mode 100644
index 000000000000..7f70646db8c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_mrpc_anirudh21_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_mrpc_anirudh21 DistilBertForSequenceClassification from anirudh21
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_mrpc_anirudh21
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mrpc_anirudh21` is a English model originally trained by anirudh21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_anirudh21_en_5.2.0_3.0_1700407453567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_anirudh21_en_5.2.0_3.0_1700407453567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_mrpc_anirudh21|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/anirudh21/distilbert-base-uncased-finetuned-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_news_category_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_news_category_en.md
new file mode 100644
index 000000000000..61d9d4191b9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_news_category_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_news_category DistilBertForSequenceClassification from Neha2608
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_news_category
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_news_category` is a English model originally trained by Neha2608.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_news_category_en_5.2.0_3.0_1700388839479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_news_category_en_5.2.0_3.0_1700388839479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_news_category|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Neha2608/distilbert-base-uncased-finetuned-news-category
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_news_mosesju_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_news_mosesju_en.md
new file mode 100644
index 000000000000..48013b4936c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_news_mosesju_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_news_mosesju DistilBertForSequenceClassification from mosesju
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_news_mosesju
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_news_mosesju` is a English model originally trained by mosesju.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_news_mosesju_en_5.2.0_3.0_1700396760878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_news_mosesju_en_5.2.0_3.0_1700396760878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_news_mosesju|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mosesju/distilbert-base-uncased-finetuned-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_pre_requisite_finder_1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_pre_requisite_finder_1_en.md
new file mode 100644
index 000000000000..e61ed9df80b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_pre_requisite_finder_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_pre_requisite_finder_1 DistilBertForSequenceClassification from bhattronak14
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_pre_requisite_finder_1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_pre_requisite_finder_1` is a English model originally trained by bhattronak14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pre_requisite_finder_1_en_5.2.0_3.0_1700355687999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pre_requisite_finder_1_en_5.2.0_3.0_1700355687999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_pre_requisite_finder_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bhattronak14/distilbert-base-uncased-finetuned-Pre_requisite_finder_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_pre_requisite_finder_bhattronak14_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_pre_requisite_finder_bhattronak14_en.md
new file mode 100644
index 000000000000..2fe63f11a73d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_pre_requisite_finder_bhattronak14_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_pre_requisite_finder_bhattronak14 DistilBertForSequenceClassification from bhattronak14
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_pre_requisite_finder_bhattronak14
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_pre_requisite_finder_bhattronak14` is a English model originally trained by bhattronak14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pre_requisite_finder_bhattronak14_en_5.2.0_3.0_1700364695867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pre_requisite_finder_bhattronak14_en_5.2.0_3.0_1700364695867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_pre_requisite_finder_bhattronak14|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/bhattronak14/distilbert-base-uncased-finetuned-Pre_requisite_finder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_pre_requisite_finder_satyamverma_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_pre_requisite_finder_satyamverma_en.md
new file mode 100644
index 000000000000..545ecbd2680a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_pre_requisite_finder_satyamverma_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_pre_requisite_finder_satyamverma DistilBertForSequenceClassification from satyamverma
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_pre_requisite_finder_satyamverma
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_pre_requisite_finder_satyamverma` is a English model originally trained by satyamverma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pre_requisite_finder_satyamverma_en_5.2.0_3.0_1700425376509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pre_requisite_finder_satyamverma_en_5.2.0_3.0_1700425376509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_pre_requisite_finder_satyamverma|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/satyamverma/distilbert-base-uncased-finetuned-Pre_requisite_finder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_qnli_anirudh21_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_qnli_anirudh21_en.md
new file mode 100644
index 000000000000..bac459f48bdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_qnli_anirudh21_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_qnli_anirudh21 DistilBertForSequenceClassification from anirudh21
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_qnli_anirudh21
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_qnli_anirudh21` is a English model originally trained by anirudh21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qnli_anirudh21_en_5.2.0_3.0_1700425376517.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_qnli_anirudh21_en_5.2.0_3.0_1700425376517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_qnli_anirudh21|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anirudh21/distilbert-base-uncased-finetuned-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_rte_danlou_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_rte_danlou_en.md
new file mode 100644
index 000000000000..b51992d022ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_rte_danlou_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_rte_danlou DistilBertForSequenceClassification from danlou
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_rte_danlou
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_rte_danlou` is a English model originally trained by danlou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_rte_danlou_en_5.2.0_3.0_1700433407692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_rte_danlou_en_5.2.0_3.0_1700433407692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_rte_danlou|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/danlou/distilbert-base-uncased-finetuned-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sentence_intent_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sentence_intent_en.md
new file mode 100644
index 000000000000..4613e4551cd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sentence_intent_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sentence_intent DistilBertForSequenceClassification from Bukun
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sentence_intent
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sentence_intent` is a English model originally trained by Bukun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sentence_intent_en_5.2.0_3.0_1700406653317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sentence_intent_en_5.2.0_3.0_1700406653317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sentence_intent|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Bukun/distilbert-base-uncased-finetuned-sentence-intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_short_answer_assessment_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_short_answer_assessment_en.md
new file mode 100644
index 000000000000..c717360f1252
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_short_answer_assessment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_short_answer_assessment DistilBertForSequenceClassification from Giyaseddin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_short_answer_assessment
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_short_answer_assessment` is a English model originally trained by Giyaseddin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_short_answer_assessment_en_5.2.0_3.0_1700360721458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_short_answer_assessment_en_5.2.0_3.0_1700360721458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_short_answer_assessment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Giyaseddin/distilbert-base-uncased-finetuned-short-answer-assessment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_spam_jg_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_spam_jg_en.md
new file mode 100644
index 000000000000..0c5804869474
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_spam_jg_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_spam_jg DistilBertForSequenceClassification from jg
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_spam_jg
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_spam_jg` is a English model originally trained by jg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_spam_jg_en_5.2.0_3.0_1700355000292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_spam_jg_en_5.2.0_3.0_1700355000292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_spam_jg|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/jg/distilbert-base-uncased-finetuned-spam
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst2_anirudh21_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst2_anirudh21_en.md
new file mode 100644
index 000000000000..caa2d92aa922
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst2_anirudh21_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst2_anirudh21 DistilBertForSequenceClassification from anirudh21
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst2_anirudh21
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_anirudh21` is a English model originally trained by anirudh21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_anirudh21_en_5.2.0_3.0_1700429250240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_anirudh21_en_5.2.0_3.0_1700429250240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst2_anirudh21|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anirudh21/distilbert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst2_avneet_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst2_avneet_en.md
new file mode 100644
index 000000000000..0610cfb21e2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst2_avneet_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst2_avneet DistilBertForSequenceClassification from avneet
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst2_avneet
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_avneet` is a English model originally trained by avneet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_avneet_en_5.2.0_3.0_1700426488006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_avneet_en_5.2.0_3.0_1700426488006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst2_avneet|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/avneet/distilbert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst2_rwang5688_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst2_rwang5688_en.md
new file mode 100644
index 000000000000..920ed50b174e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst2_rwang5688_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst2_rwang5688 DistilBertForSequenceClassification from rwang5688
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst2_rwang5688
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_rwang5688` is a English model originally trained by rwang5688.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_rwang5688_en_5.2.0_3.0_1700418156529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_rwang5688_en_5.2.0_3.0_1700418156529.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst2_rwang5688|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/rwang5688/distilbert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst_2_english_finetuned_imdb_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst_2_english_finetuned_imdb_en.md
new file mode 100644
index 000000000000..3ea42f0c8a0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_sst_2_english_finetuned_imdb_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst_2_english_finetuned_imdb DistilBertForSequenceClassification from kurianbenoy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst_2_english_finetuned_imdb
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_finetuned_imdb` is a English model originally trained by kurianbenoy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_imdb_en_5.2.0_3.0_1700376774702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_imdb_en_5.2.0_3.0_1700376774702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_finetuned_imdb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/kurianbenoy/distilbert-base-uncased-finetuned-sst-2-english-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_switchboard_2_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_switchboard_2_en.md
new file mode 100644
index 000000000000..a28adbed8f30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_switchboard_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_switchboard_2 DistilBertForSequenceClassification from goldenk
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_switchboard_2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_switchboard_2` is a English model originally trained by goldenk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_switchboard_2_en_5.2.0_3.0_1700421630004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_switchboard_2_en_5.2.0_3.0_1700421630004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_switchboard_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/goldenk/distilbert-base-uncased-finetuned-switchboard-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_text_2_disease_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_text_2_disease_en.md
new file mode 100644
index 000000000000..92e0c373e6fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_text_2_disease_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_text_2_disease DistilBertForSequenceClassification from venetis
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_text_2_disease
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_text_2_disease` is a English model originally trained by venetis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_text_2_disease_en_5.2.0_3.0_1700367583094.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_text_2_disease_en_5.2.0_3.0_1700367583094.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_text_2_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/venetis/distilbert-base-uncased_finetuned_text_2_disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds_en.md
new file mode 100644
index 000000000000..af50421be883
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds DistilBertForSequenceClassification from francisco-perez-sorrosal
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds` is a English model originally trained by francisco-perez-sorrosal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds_en_5.2.0_3.0_1700438198037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds_en_5.2.0_3.0_1700438198037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_with_spanish_tweets_clf_cleaned_ds|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/francisco-perez-sorrosal/distilbert-base-uncased-finetuned-with-spanish-tweets-clf-cleaned-ds
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_wnli_anirudh21_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_wnli_anirudh21_en.md
new file mode 100644
index 000000000000..14b8b394f899
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_wnli_anirudh21_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_wnli_anirudh21 DistilBertForSequenceClassification from anirudh21
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_wnli_anirudh21
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_wnli_anirudh21` is a English model originally trained by anirudh21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_wnli_anirudh21_en_5.2.0_3.0_1700429444932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_wnli_anirudh21_en_5.2.0_3.0_1700429444932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_wnli_anirudh21|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anirudh21/distilbert-base-uncased-finetuned-wnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_yelp_reviews_tmp_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_yelp_reviews_tmp_en.md
new file mode 100644
index 000000000000..f62da55085dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_finetuned_yelp_reviews_tmp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_yelp_reviews_tmp DistilBertForSequenceClassification from Ramamurthi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_yelp_reviews_tmp
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_yelp_reviews_tmp` is a English model originally trained by Ramamurthi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_yelp_reviews_tmp_en_5.2.0_3.0_1700362672026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_yelp_reviews_tmp_en_5.2.0_3.0_1700362672026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_yelp_reviews_tmp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Ramamurthi/distilbert-base-uncased-finetuned-yelp-reviews-tmp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_ft_m3_lc_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_ft_m3_lc_en.md
new file mode 100644
index 000000000000..eea6524caf03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_ft_m3_lc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_ft_m3_lc DistilBertForSequenceClassification from sarahmiller137
+author: John Snow Labs
+name: distilbert_base_uncased_ft_m3_lc
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ft_m3_lc` is a English model originally trained by sarahmiller137.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ft_m3_lc_en_5.2.0_3.0_1700385771260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ft_m3_lc_en_5.2.0_3.0_1700385771260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ft_m3_lc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/sarahmiller137/distilbert-base-uncased-ft-m3-lc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_hate_offensive_oriya_normal_speech_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_hate_offensive_oriya_normal_speech_en.md
new file mode 100644
index 000000000000..ab5864af0076
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_hate_offensive_oriya_normal_speech_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_hate_offensive_oriya_normal_speech DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_hate_offensive_oriya_normal_speech
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_hate_offensive_oriya_normal_speech` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hate_offensive_oriya_normal_speech_en_5.2.0_3.0_1700373234139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_hate_offensive_oriya_normal_speech_en_5.2.0_3.0_1700373234139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_hate_offensive_oriya_normal_speech|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-Hate_Offensive_or_Normal_Speech
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_imdb_mvonwyl_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_imdb_mvonwyl_en.md
new file mode 100644
index 000000000000..b92abdb8ba62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_imdb_mvonwyl_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_imdb_mvonwyl DistilBertForSequenceClassification from mvonwyl
+author: John Snow Labs
+name: distilbert_base_uncased_imdb_mvonwyl
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_imdb_mvonwyl` is a English model originally trained by mvonwyl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_mvonwyl_en_5.2.0_3.0_1700407453574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_mvonwyl_en_5.2.0_3.0_1700407453574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_imdb_mvonwyl|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mvonwyl/distilbert-base-uncased-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_imdb_reviews_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_imdb_reviews_en.md
new file mode 100644
index 000000000000..fb07ab7caf2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_imdb_reviews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_imdb_reviews DistilBertForSequenceClassification from minhhoque
+author: John Snow Labs
+name: distilbert_base_uncased_imdb_reviews
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_imdb_reviews` is a English model originally trained by minhhoque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_reviews_en_5.2.0_3.0_1700385239377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_reviews_en_5.2.0_3.0_1700385239377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_imdb_reviews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/minhhoque/distilbert-base-uncased_imdb_reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_imdb_saved_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_imdb_saved_en.md
new file mode 100644
index 000000000000..2624c8df3444
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_imdb_saved_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_imdb_saved DistilBertForSequenceClassification from thaile
+author: John Snow Labs
+name: distilbert_base_uncased_imdb_saved
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_imdb_saved` is a English model originally trained by thaile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_saved_en_5.2.0_3.0_1700416280078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_saved_en_5.2.0_3.0_1700416280078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_imdb_saved|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thaile/distilbert-base-uncased-imdb-saved
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_jigsaw_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_jigsaw_en.md
new file mode 100644
index 000000000000..3d31bf12f5e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_jigsaw_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_jigsaw DistilBertForSequenceClassification from hohyun312
+author: John Snow Labs
+name: distilbert_base_uncased_jigsaw
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_jigsaw` is a English model originally trained by hohyun312.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_jigsaw_en_5.2.0_3.0_1700380512166.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_jigsaw_en_5.2.0_3.0_1700380512166.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_jigsaw|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/hohyun312/distilbert-base-uncased-jigsaw
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_log_classfication_v1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_log_classfication_v1_en.md
new file mode 100644
index 000000000000..34e577e35b2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_log_classfication_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_log_classfication_v1 DistilBertForSequenceClassification from gemlincong
+author: John Snow Labs
+name: distilbert_base_uncased_log_classfication_v1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_log_classfication_v1` is a English model originally trained by gemlincong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_log_classfication_v1_en_5.2.0_3.0_1700358628436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_log_classfication_v1_en_5.2.0_3.0_1700358628436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_log_classfication_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gemlincong/distilbert-base-uncased_log_classfication_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_onionornot_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_onionornot_en.md
new file mode 100644
index 000000000000..22366839f025
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_onionornot_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_onionornot DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_onionornot
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_onionornot` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_onionornot_en_5.2.0_3.0_1700374473883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_onionornot_en_5.2.0_3.0_1700374473883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_onionornot|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-OnionOrNot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_pakornor_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_pakornor_en.md
new file mode 100644
index 000000000000..73f473f1c6a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_pakornor_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_pakornor DistilBertForSequenceClassification from pakornor
+author: John Snow Labs
+name: distilbert_base_uncased_pakornor
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_pakornor` is a English model originally trained by pakornor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_pakornor_en_5.2.0_3.0_1700356742805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_pakornor_en_5.2.0_3.0_1700356742805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_pakornor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/pakornor/distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_all_car_brands_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_all_car_brands_en.md
new file mode 100644
index 000000000000..29334d701e39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_all_car_brands_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_regression_edmunds_car_reviews_all_car_brands DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_regression_edmunds_car_reviews_all_car_brands
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_regression_edmunds_car_reviews_all_car_brands` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_regression_edmunds_car_reviews_all_car_brands_en_5.2.0_3.0_1700394098954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_regression_edmunds_car_reviews_all_car_brands_en_5.2.0_3.0_1700394098954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_regression_edmunds_car_reviews_all_car_brands|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-Regression-Edmunds_Car_Reviews-all_car_brands
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_american_made_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_american_made_en.md
new file mode 100644
index 000000000000..e89447a4553b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_american_made_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_regression_edmunds_car_reviews_american_made DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_regression_edmunds_car_reviews_american_made
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_regression_edmunds_car_reviews_american_made` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_regression_edmunds_car_reviews_american_made_en_5.2.0_3.0_1700413214566.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_regression_edmunds_car_reviews_american_made_en_5.2.0_3.0_1700413214566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_regression_edmunds_car_reviews_american_made|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-Regression-Edmunds_Car_Reviews-American_Made
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_european_made_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_european_made_en.md
new file mode 100644
index 000000000000..d036cb4412d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_european_made_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_regression_edmunds_car_reviews_european_made DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_regression_edmunds_car_reviews_european_made
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_regression_edmunds_car_reviews_european_made` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_regression_edmunds_car_reviews_european_made_en_5.2.0_3.0_1700430374767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_regression_edmunds_car_reviews_european_made_en_5.2.0_3.0_1700430374767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_regression_edmunds_car_reviews_european_made|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-Regression-Edmunds_Car_Reviews-European_Made
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_non_european_imports_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_non_european_imports_en.md
new file mode 100644
index 000000000000..5c9de70e7d90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_edmunds_car_reviews_non_european_imports_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_regression_edmunds_car_reviews_non_european_imports DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_regression_edmunds_car_reviews_non_european_imports
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_regression_edmunds_car_reviews_non_european_imports` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_regression_edmunds_car_reviews_non_european_imports_en_5.2.0_3.0_1700356720185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_regression_edmunds_car_reviews_non_european_imports_en_5.2.0_3.0_1700356720185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_regression_edmunds_car_reviews_non_european_imports|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-Regression-Edmunds_Car_Reviews-Non_European_Imports
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_simpsons_plus_others_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_simpsons_plus_others_en.md
new file mode 100644
index 000000000000..dd14a964cd07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_regression_simpsons_plus_others_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_regression_simpsons_plus_others DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_regression_simpsons_plus_others
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_regression_simpsons_plus_others` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_regression_simpsons_plus_others_en_5.2.0_3.0_1700426678287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_regression_simpsons_plus_others_en_5.2.0_3.0_1700426678287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_regression_simpsons_plus_others|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-Regression-Simpsons_Plus_Others
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_research_articles_multilabel_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_research_articles_multilabel_en.md
new file mode 100644
index 000000000000..78a8e382539e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_research_articles_multilabel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_research_articles_multilabel DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_research_articles_multilabel
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_research_articles_multilabel` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_research_articles_multilabel_en_5.2.0_3.0_1700428493381.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_research_articles_multilabel_en_5.2.0_3.0_1700428493381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_research_articles_multilabel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased_research_articles_multilabel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_reviews_multilabel_clf_v2_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_reviews_multilabel_clf_v2_en.md
new file mode 100644
index 000000000000..f025a4061f1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_reviews_multilabel_clf_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_reviews_multilabel_clf_v2 DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_reviews_multilabel_clf_v2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_reviews_multilabel_clf_v2` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_reviews_multilabel_clf_v2_en_5.2.0_3.0_1700355277740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_reviews_multilabel_clf_v2_en_5.2.0_3.0_1700355277740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_reviews_multilabel_clf_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-reviews_multilabel_clf_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_rotten_tomatoes_xianzhew_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_rotten_tomatoes_xianzhew_en.md
new file mode 100644
index 000000000000..37e40a2dc7e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_rotten_tomatoes_xianzhew_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_rotten_tomatoes_xianzhew DistilBertForSequenceClassification from xianzhew
+author: John Snow Labs
+name: distilbert_base_uncased_rotten_tomatoes_xianzhew
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_rotten_tomatoes_xianzhew` is a English model originally trained by xianzhew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_rotten_tomatoes_xianzhew_en_5.2.0_3.0_1700356178939.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_rotten_tomatoes_xianzhew_en_5.2.0_3.0_1700356178939.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_rotten_tomatoes_xianzhew|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/xianzhew/distilbert-base-uncased_rotten_tomatoes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_sexist_epoch2_norwegian_config_json_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_sexist_epoch2_norwegian_config_json_en.md
new file mode 100644
index 000000000000..ff11f8c00e28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_sexist_epoch2_norwegian_config_json_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_sexist_epoch2_norwegian_config_json DistilBertForSequenceClassification from l-tran
+author: John Snow Labs
+name: distilbert_base_uncased_sexist_epoch2_norwegian_config_json
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sexist_epoch2_norwegian_config_json` is a English model originally trained by l-tran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sexist_epoch2_norwegian_config_json_en_5.2.0_3.0_1700403973072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sexist_epoch2_norwegian_config_json_en_5.2.0_3.0_1700403973072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_sexist_epoch2_norwegian_config_json|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/l-tran/distilbert-base-uncased-sexist-epoch2-no-config-json
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_spamfilter_lg_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_spamfilter_lg_en.md
new file mode 100644
index 000000000000..79740a4fc2fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_spamfilter_lg_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_spamfilter_lg DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_spamfilter_lg
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_spamfilter_lg` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_spamfilter_lg_en_5.2.0_3.0_1700412343586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_spamfilter_lg_en_5.2.0_3.0_1700412343586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_spamfilter_lg|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-SpamFilter-LG
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_up_sampling_sub_category_speech_text_display_v1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_up_sampling_sub_category_speech_text_display_v1_en.md
new file mode 100644
index 000000000000..ff57fdf59d3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_up_sampling_sub_category_speech_text_display_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_up_sampling_sub_category_speech_text_display_v1 DistilBertForSequenceClassification from rajesh426
+author: John Snow Labs
+name: distilbert_base_uncased_up_sampling_sub_category_speech_text_display_v1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_up_sampling_sub_category_speech_text_display_v1` is a English model originally trained by rajesh426.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_up_sampling_sub_category_speech_text_display_v1_en_5.2.0_3.0_1700419137554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_up_sampling_sub_category_speech_text_display_v1_en_5.2.0_3.0_1700419137554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_up_sampling_sub_category_speech_text_display_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rajesh426/distilbert-base-uncased_Up_Sampling_Sub_Category_SPEECH_TEXT_DISPLAY_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_us_airline_twitter_sentiment_analysis_dunnbc22_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_us_airline_twitter_sentiment_analysis_dunnbc22_en.md
new file mode 100644
index 000000000000..b0c392a38c0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_us_airline_twitter_sentiment_analysis_dunnbc22_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_us_airline_twitter_sentiment_analysis_dunnbc22 DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_us_airline_twitter_sentiment_analysis_dunnbc22
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_us_airline_twitter_sentiment_analysis_dunnbc22` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_us_airline_twitter_sentiment_analysis_dunnbc22_en_5.2.0_3.0_1700395909578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_us_airline_twitter_sentiment_analysis_dunnbc22_en_5.2.0_3.0_1700395909578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_us_airline_twitter_sentiment_analysis_dunnbc22|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-US_Airline_Twitter_Sentiment_Analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_us_airline_twitter_sentiment_analysis_vin1234_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_us_airline_twitter_sentiment_analysis_vin1234_en.md
new file mode 100644
index 000000000000..078309df2674
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_us_airline_twitter_sentiment_analysis_vin1234_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_us_airline_twitter_sentiment_analysis_vin1234 DistilBertForSequenceClassification from Vin1234
+author: John Snow Labs
+name: distilbert_base_uncased_us_airline_twitter_sentiment_analysis_vin1234
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_us_airline_twitter_sentiment_analysis_vin1234` is a English model originally trained by Vin1234.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_us_airline_twitter_sentiment_analysis_vin1234_en_5.2.0_3.0_1700353553203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_us_airline_twitter_sentiment_analysis_vin1234_en_5.2.0_3.0_1700353553203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_us_airline_twitter_sentiment_analysis_vin1234|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Vin1234/distilbert-base-uncased-US_Airline_Twitter_Sentiment_Analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_wandb_week_3_complaints_classifier_1500_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_wandb_week_3_complaints_classifier_1500_en.md
new file mode 100644
index 000000000000..2db3823b80e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_base_uncased_wandb_week_3_complaints_classifier_1500_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_wandb_week_3_complaints_classifier_1500 DistilBertForSequenceClassification from Kayvane
+author: John Snow Labs
+name: distilbert_base_uncased_wandb_week_3_complaints_classifier_1500
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_wandb_week_3_complaints_classifier_1500` is a English model originally trained by Kayvane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_wandb_week_3_complaints_classifier_1500_en_5.2.0_3.0_1700355932529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_wandb_week_3_complaints_classifier_1500_en_5.2.0_3.0_1700355932529.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_wandb_week_3_complaints_classifier_1500|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kayvane/distilbert-base-uncased-wandb-week-3-complaints-classifier-1500
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_bookreviews_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_bookreviews_en.md
new file mode 100644
index 000000000000..ee9d8ba47d60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_bookreviews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_bookreviews DistilBertForSequenceClassification from bierus
+author: John Snow Labs
+name: distilbert_bookreviews
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_bookreviews` is a English model originally trained by bierus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_bookreviews_en_5.2.0_3.0_1700352444264.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_bookreviews_en_5.2.0_3.0_1700352444264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_bookreviews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bierus/distilbert_bookreviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_bug_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_bug_classifier_en.md
new file mode 100644
index 000000000000..a2ed8cbcef47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_bug_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_bug_classifier DistilBertForSequenceClassification from Peterard
+author: John Snow Labs
+name: distilbert_bug_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_bug_classifier` is a English model originally trained by Peterard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_bug_classifier_en_5.2.0_3.0_1700353015275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_bug_classifier_en_5.2.0_3.0_1700353015275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_bug_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.4 MB|
+
+## References
+
+https://huggingface.co/Peterard/distilbert_bug_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_cnn_news_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_cnn_news_en.md
new file mode 100644
index 000000000000..894b6094a90c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_cnn_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_cnn_news DistilBertForSequenceClassification from AyoubChLin
+author: John Snow Labs
+name: distilbert_cnn_news
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_cnn_news` is a English model originally trained by AyoubChLin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_cnn_news_en_5.2.0_3.0_1700403099834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_cnn_news_en_5.2.0_3.0_1700403099834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_cnn_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AyoubChLin/distilbert_cnn_news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_cohere_v7_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_cohere_v7_en.md
new file mode 100644
index 000000000000..d24044905d6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_cohere_v7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_cohere_v7 DistilBertForSequenceClassification from clam004
+author: John Snow Labs
+name: distilbert_cohere_v7
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_cohere_v7` is a English model originally trained by clam004.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_cohere_v7_en_5.2.0_3.0_1700399210458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_cohere_v7_en_5.2.0_3.0_1700399210458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_cohere_v7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/clam004/distilbert-cohere-v7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_coherent_v3_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_coherent_v3_en.md
new file mode 100644
index 000000000000..ac23e9f467eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_coherent_v3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_coherent_v3 DistilBertForSequenceClassification from clam004
+author: John Snow Labs
+name: distilbert_coherent_v3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_coherent_v3` is a English model originally trained by clam004.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_coherent_v3_en_5.2.0_3.0_1700388840832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_coherent_v3_en_5.2.0_3.0_1700388840832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_coherent_v3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/clam004/distilbert-coherent-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_combined_large_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_combined_large_en.md
new file mode 100644
index 000000000000..a05c2f3e3fec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_combined_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_combined_large DistilBertForSequenceClassification from asparius
+author: John Snow Labs
+name: distilbert_combined_large
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_combined_large` is a English model originally trained by asparius.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_combined_large_en_5.2.0_3.0_1700431385136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_combined_large_en_5.2.0_3.0_1700431385136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_combined_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|254.0 MB|
+
+## References
+
+https://huggingface.co/asparius/distilbert-combined-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_complaints_wandb_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_complaints_wandb_en.md
new file mode 100644
index 000000000000..3899dfb318dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_complaints_wandb_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_complaints_wandb DistilBertForSequenceClassification from Kayvane
+author: John Snow Labs
+name: distilbert_complaints_wandb
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_complaints_wandb` is a English model originally trained by Kayvane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_complaints_wandb_en_5.2.0_3.0_1700411371165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_complaints_wandb_en_5.2.0_3.0_1700411371165.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_complaints_wandb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kayvane/distilbert-complaints-wandb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_emotion_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_emotion_analysis_en.md
new file mode 100644
index 000000000000..955583e814d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_emotion_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_emotion_analysis DistilBertForSequenceClassification from WillyWilliam
+author: John Snow Labs
+name: distilbert_emotion_analysis
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_analysis` is a English model originally trained by WillyWilliam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_analysis_en_5.2.0_3.0_1700432361519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_analysis_en_5.2.0_3.0_1700432361519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_analysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/WillyWilliam/distilbert-emotion-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_finance_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finance_en.md
new file mode 100644
index 000000000000..8ae41081167d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finance_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finance DistilBertForSequenceClassification from IngeniousArtist
+author: John Snow Labs
+name: distilbert_finance
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finance` is a English model originally trained by IngeniousArtist.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finance_en_5.2.0_3.0_1700411201948.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finance_en_5.2.0_3.0_1700411201948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finance|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/IngeniousArtist/distilbert-finance
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_fine_tune_questionvsanswer_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_fine_tune_questionvsanswer_en.md
new file mode 100644
index 000000000000..ef8589161036
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_fine_tune_questionvsanswer_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_fine_tune_questionvsanswer DistilBertForSequenceClassification from Ahmedgr
+author: John Snow Labs
+name: distilbert_fine_tune_questionvsanswer
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_fine_tune_questionvsanswer` is a English model originally trained by Ahmedgr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_fine_tune_questionvsanswer_en_5.2.0_3.0_1700383573090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_fine_tune_questionvsanswer_en_5.2.0_3.0_1700383573090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_fine_tune_questionvsanswer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Ahmedgr/DistilBert_Fine_tune_QuestionVsAnswer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_fine_tuned_terms_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_fine_tuned_terms_en.md
new file mode 100644
index 000000000000..05aa3bb5ceba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_fine_tuned_terms_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_fine_tuned_terms DistilBertForSequenceClassification from alexskrn
+author: John Snow Labs
+name: distilbert_fine_tuned_terms
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_fine_tuned_terms` is a English model originally trained by alexskrn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_fine_tuned_terms_en_5.2.0_3.0_1700424950540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_fine_tuned_terms_en_5.2.0_3.0_1700424950540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_fine_tuned_terms|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/alexskrn/distilbert-fine-tuned-terms
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_emotion_en.md
new file mode 100644
index 000000000000..4d32f4fc1a4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finetuned_emotion DistilBertForSequenceClassification from ADRIANRICO
+author: John Snow Labs
+name: distilbert_finetuned_emotion
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_emotion` is a English model originally trained by ADRIANRICO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_emotion_en_5.2.0_3.0_1700355401593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_emotion_en_5.2.0_3.0_1700355401593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ADRIANRICO/Distilbert-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_fakenews_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_fakenews_en.md
new file mode 100644
index 000000000000..156fb433ec88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_fakenews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finetuned_fakenews DistilBertForSequenceClassification from Tahsin-Mayeesha
+author: John Snow Labs
+name: distilbert_finetuned_fakenews
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_fakenews` is a English model originally trained by Tahsin-Mayeesha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_fakenews_en_5.2.0_3.0_1700390474797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_fakenews_en_5.2.0_3.0_1700390474797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_fakenews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tahsin-Mayeesha/distilbert-finetuned-fakenews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_flipkart_product_reviews_kaggle_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_flipkart_product_reviews_kaggle_en.md
new file mode 100644
index 000000000000..69c91b19f273
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_flipkart_product_reviews_kaggle_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finetuned_flipkart_product_reviews_kaggle DistilBertForSequenceClassification from prajwalkhairnar
+author: John Snow Labs
+name: distilbert_finetuned_flipkart_product_reviews_kaggle
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_flipkart_product_reviews_kaggle` is a English model originally trained by prajwalkhairnar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_flipkart_product_reviews_kaggle_en_5.2.0_3.0_1700353698424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_flipkart_product_reviews_kaggle_en_5.2.0_3.0_1700353698424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_flipkart_product_reviews_kaggle|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/prajwalkhairnar/distilbert_finetuned_flipkart_product_reviews_kaggle
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_reuters21578_multilabel_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_reuters21578_multilabel_en.md
new file mode 100644
index 000000000000..6b66455fd4fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_reuters21578_multilabel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finetuned_reuters21578_multilabel DistilBertForSequenceClassification from lxyuan
+author: John Snow Labs
+name: distilbert_finetuned_reuters21578_multilabel
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_reuters21578_multilabel` is a English model originally trained by lxyuan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_reuters21578_multilabel_en_5.2.0_3.0_1700434875916.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_reuters21578_multilabel_en_5.2.0_3.0_1700434875916.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_reuters21578_multilabel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.3 MB|
+
+## References
+
+https://huggingface.co/lxyuan/distilbert-finetuned-reuters21578-multilabel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_vietnamese_question_type_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_vietnamese_question_type_en.md
new file mode 100644
index 000000000000..7b8f525a21ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_vietnamese_question_type_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finetuned_vietnamese_question_type DistilBertForSequenceClassification from EddieChen372
+author: John Snow Labs
+name: distilbert_finetuned_vietnamese_question_type
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_vietnamese_question_type` is a English model originally trained by EddieChen372.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_vietnamese_question_type_en_5.2.0_3.0_1700414567864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_vietnamese_question_type_en_5.2.0_3.0_1700414567864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_vietnamese_question_type|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/EddieChen372/distilbert-finetuned-vi-question_type
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_yahoo_answers_topics_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_yahoo_answers_topics_en.md
new file mode 100644
index 000000000000..ddfbf4167cac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_finetuned_yahoo_answers_topics_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finetuned_yahoo_answers_topics DistilBertForSequenceClassification from gavulsim
+author: John Snow Labs
+name: distilbert_finetuned_yahoo_answers_topics
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_yahoo_answers_topics` is a English model originally trained by gavulsim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_yahoo_answers_topics_en_5.2.0_3.0_1700408449498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_yahoo_answers_topics_en_5.2.0_3.0_1700408449498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_yahoo_answers_topics|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gavulsim/distilbert_finetuned_yahoo_answers_topics
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_for_text_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_for_text_classification_en.md
new file mode 100644
index 000000000000..c44218c6706f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_for_text_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_for_text_classification DistilBertForSequenceClassification from RavenK
+author: John Snow Labs
+name: distilbert_for_text_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_for_text_classification` is a English model originally trained by RavenK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_for_text_classification_en_5.2.0_3.0_1700353983598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_for_text_classification_en_5.2.0_3.0_1700353983598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_for_text_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/RavenK/distilbert_for_text_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_gsa_eula_opp_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_gsa_eula_opp_en.md
new file mode 100644
index 000000000000..09fec6f8af0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_gsa_eula_opp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_gsa_eula_opp DistilBertForSequenceClassification from adelevie
+author: John Snow Labs
+name: distilbert_gsa_eula_opp
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_gsa_eula_opp` is a English model originally trained by adelevie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_gsa_eula_opp_en_5.2.0_3.0_1700384717029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_gsa_eula_opp_en_5.2.0_3.0_1700384717029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_gsa_eula_opp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/adelevie/distilbert-gsa-eula-opp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_icekingbing_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_icekingbing_en.md
new file mode 100644
index 000000000000..33ff2253a3c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_icekingbing_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_imdb_icekingbing DistilBertForSequenceClassification from IceKingBing
+author: John Snow Labs
+name: distilbert_imdb_icekingbing
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_icekingbing` is a English model originally trained by IceKingBing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_icekingbing_en_5.2.0_3.0_1700383911098.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_icekingbing_en_5.2.0_3.0_1700383911098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_icekingbing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/IceKingBing/distilbert-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_jzonthemtn_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_jzonthemtn_en.md
new file mode 100644
index 000000000000..03685dd1ee22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_jzonthemtn_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_imdb_jzonthemtn DistilBertForSequenceClassification from jzonthemtn
+author: John Snow Labs
+name: distilbert_imdb_jzonthemtn
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_jzonthemtn` is a English model originally trained by jzonthemtn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_jzonthemtn_en_5.2.0_3.0_1700375815982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_jzonthemtn_en_5.2.0_3.0_1700375815982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_jzonthemtn|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jzonthemtn/distilbert-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_pos_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_pos_en.md
new file mode 100644
index 000000000000..a4a1a675ad75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_pos_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_imdb_pos DistilBertForSequenceClassification from ScandinavianMrT
+author: John Snow Labs
+name: distilbert_imdb_pos
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_pos` is a English model originally trained by ScandinavianMrT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_pos_en_5.2.0_3.0_1700377197022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_pos_en_5.2.0_3.0_1700377197022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_pos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ScandinavianMrT/distilbert-IMDB-POS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_xianzhew_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_xianzhew_en.md
new file mode 100644
index 000000000000..4dbc25850fdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_imdb_xianzhew_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_imdb_xianzhew DistilBertForSequenceClassification from xianzhew
+author: John Snow Labs
+name: distilbert_imdb_xianzhew
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_xianzhew` is a English model originally trained by xianzhew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_xianzhew_en_5.2.0_3.0_1700402177182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_xianzhew_en_5.2.0_3.0_1700402177182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_xianzhew|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/xianzhew/distilbert-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_joke_detector_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_joke_detector_en.md
new file mode 100644
index 000000000000..a296a12279df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_joke_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_joke_detector DistilBertForSequenceClassification from Reggie
+author: John Snow Labs
+name: distilbert_joke_detector
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_joke_detector` is a English model originally trained by Reggie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_joke_detector_en_5.2.0_3.0_1700380573598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_joke_detector_en_5.2.0_3.0_1700380573598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_joke_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Reggie/distilbert-joke_detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_media_bias_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_media_bias_en.md
new file mode 100644
index 000000000000..2dbd65762e7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_media_bias_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_media_bias DistilBertForSequenceClassification from rinapch
+author: John Snow Labs
+name: distilbert_media_bias
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_media_bias` is a English model originally trained by rinapch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_media_bias_en_5.2.0_3.0_1700384844109.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_media_bias_en_5.2.0_3.0_1700384844109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_multilingual_uncased_gpt_mar_13_epoch_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/SmilestheSad/distilbert-multilingual-uncased-gpt-mar-13-epoch-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_optimised_finetuned_financial_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_optimised_finetuned_financial_sentiment_en.md
new file mode 100644
index 000000000000..39974dac6d0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_optimised_finetuned_financial_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_optimised_finetuned_financial_sentiment DistilBertForSequenceClassification from hazrulakmal
+author: John Snow Labs
+name: distilbert_optimised_finetuned_financial_sentiment
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_optimised_finetuned_financial_sentiment` is a English model originally trained by hazrulakmal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_optimised_finetuned_financial_sentiment_en_5.2.0_3.0_1700352267401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_optimised_finetuned_financial_sentiment_en_5.2.0_3.0_1700352267401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_optimised_finetuned_financial_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hazrulakmal/distilbert-optimised-finetuned-financial-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_persian_farsi_description_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_persian_farsi_description_classifier_en.md
new file mode 100644
index 000000000000..6861452d12a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_persian_farsi_description_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_persian_farsi_description_classifier DistilBertForSequenceClassification from mohsenfayyaz
+author: John Snow Labs
+name: distilbert_persian_farsi_description_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_persian_farsi_description_classifier` is a English model originally trained by mohsenfayyaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_persian_farsi_description_classifier_en_5.2.0_3.0_1700390580347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_persian_farsi_description_classifier_en_5.2.0_3.0_1700390580347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_persian_farsi_description_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|284.5 MB|
+
+## References
+
+https://huggingface.co/mohsenfayyaz/distilbert-fa-description-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_poem_key_words_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_poem_key_words_en.md
new file mode 100644
index 000000000000..f2b1a142b4e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_poem_key_words_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_poem_key_words DistilBertForSequenceClassification from guhuawuli
+author: John Snow Labs
+name: distilbert_poem_key_words
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_poem_key_words` is a English model originally trained by guhuawuli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_poem_key_words_en_5.2.0_3.0_1700354600929.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_poem_key_words_en_5.2.0_3.0_1700354600929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_poem_key_words|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/guhuawuli/distilbert-poem_key_words
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_reviews_with_context_drift_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_reviews_with_context_drift_en.md
new file mode 100644
index 000000000000..7526afdabf72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_reviews_with_context_drift_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_reviews_with_context_drift DistilBertForSequenceClassification from arize-ai
+author: John Snow Labs
+name: distilbert_reviews_with_context_drift
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_reviews_with_context_drift` is a English model originally trained by arize-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_reviews_with_context_drift_en_5.2.0_3.0_1700411528009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_reviews_with_context_drift_en_5.2.0_3.0_1700411528009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_reviews_with_context_drift|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/arize-ai/distilbert_reviews_with_context_drift
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_rotten_tomatoes_sentiment_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_rotten_tomatoes_sentiment_classifier_en.md
new file mode 100644
index 000000000000..e039f4aebafb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_rotten_tomatoes_sentiment_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_rotten_tomatoes_sentiment_classifier DistilBertForSequenceClassification from RJZauner
+author: John Snow Labs
+name: distilbert_rotten_tomatoes_sentiment_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_rotten_tomatoes_sentiment_classifier` is a English model originally trained by RJZauner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_rotten_tomatoes_sentiment_classifier_en_5.2.0_3.0_1700357473479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_rotten_tomatoes_sentiment_classifier_en_5.2.0_3.0_1700357473479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_rotten_tomatoes_sentiment_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RJZauner/distilbert_rotten_tomatoes_sentiment_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_sagemaker_1609802168_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_sagemaker_1609802168_en.md
new file mode 100644
index 000000000000..231c0eb81faf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_sagemaker_1609802168_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_sagemaker_1609802168 DistilBertForSequenceClassification from julien-c
+author: John Snow Labs
+name: distilbert_sagemaker_1609802168
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sagemaker_1609802168` is a English model originally trained by julien-c.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sagemaker_1609802168_en_5.2.0_3.0_1700392543753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sagemaker_1609802168_en_5.2.0_3.0_1700392543753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sagemaker_1609802168|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/julien-c/distilbert-sagemaker-1609802168
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_sentiment_analysis_en.md
new file mode 100644
index 000000000000..e57bef4ac797
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_sentiment_analysis DistilBertForSequenceClassification from DracoHugging
+author: John Snow Labs
+name: distilbert_sentiment_analysis
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentiment_analysis` is a English model originally trained by DracoHugging.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_analysis_en_5.2.0_3.0_1700417039502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_analysis_en_5.2.0_3.0_1700417039502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sentiment_analysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DracoHugging/Distilbert-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_sentimentanalysis_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_sentimentanalysis_en.md
new file mode 100644
index 000000000000..1189856b2aca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_sentimentanalysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_sentimentanalysis DistilBertForSequenceClassification from annamalai-s
+author: John Snow Labs
+name: distilbert_sentimentanalysis
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentimentanalysis` is a English model originally trained by annamalai-s.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentimentanalysis_en_5.2.0_3.0_1700430168746.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentimentanalysis_en_5.2.0_3.0_1700430168746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sentimentanalysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/annamalai-s/distilbert-sentimentanalysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_sst2_indic_languages_dynamic_quantization_magnitude_pruning_0_1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_sst2_indic_languages_dynamic_quantization_magnitude_pruning_0_1_en.md
new file mode 100644
index 000000000000..464460c0e253
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_sst2_indic_languages_dynamic_quantization_magnitude_pruning_0_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_sst2_indic_languages_dynamic_quantization_magnitude_pruning_0_1 DistilBertForSequenceClassification from echarlaix
+author: John Snow Labs
+name: distilbert_sst2_indic_languages_dynamic_quantization_magnitude_pruning_0_1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst2_indic_languages_dynamic_quantization_magnitude_pruning_0_1` is a English model originally trained by echarlaix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst2_indic_languages_dynamic_quantization_magnitude_pruning_0_1_en_5.2.0_3.0_1700372035344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst2_indic_languages_dynamic_quantization_magnitude_pruning_0_1_en_5.2.0_3.0_1700372035344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sst2_indic_languages_dynamic_quantization_magnitude_pruning_0_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|243.4 MB|
+
+## References
+
+https://huggingface.co/echarlaix/distilbert-sst2-inc-dynamic-quantization-magnitude-pruning-0.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_sst2_runglue_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_sst2_runglue_en.md
new file mode 100644
index 000000000000..e9f6dd825736
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_sst2_runglue_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_sst2_runglue DistilBertForSequenceClassification from neal49
+author: John Snow Labs
+name: distilbert_sst2_runglue
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sst2_runglue` is a English model originally trained by neal49.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst2_runglue_en_5.2.0_3.0_1700383908953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst2_runglue_en_5.2.0_3.0_1700383908953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sst2_runglue|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/neal49/distilbert-sst2-runglue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_suicidal_content_reviews_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_suicidal_content_reviews_en.md
new file mode 100644
index 000000000000..0548481276c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_suicidal_content_reviews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_suicidal_content_reviews DistilBertForSequenceClassification from Prashant-karwasra
+author: John Snow Labs
+name: distilbert_suicidal_content_reviews
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_suicidal_content_reviews` is a English model originally trained by Prashant-karwasra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_suicidal_content_reviews_en_5.2.0_3.0_1700355548466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_suicidal_content_reviews_en_5.2.0_3.0_1700355548466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_suicidal_content_reviews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/Prashant-karwasra/DistilBert-suicidal-content-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_summarization_reward_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_summarization_reward_model_en.md
new file mode 100644
index 000000000000..868a5ca18f70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_summarization_reward_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_summarization_reward_model DistilBertForSequenceClassification from Tristan
+author: John Snow Labs
+name: distilbert_summarization_reward_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_summarization_reward_model` is a English model originally trained by Tristan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_summarization_reward_model_en_5.2.0_3.0_1700387868440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_summarization_reward_model_en_5.2.0_3.0_1700387868440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_summarization_reward_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tristan/distilbert_summarization_reward_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_toxic_classifier_demo_01_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_toxic_classifier_demo_01_en.md
new file mode 100644
index 000000000000..4fc0f502d767
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_toxic_classifier_demo_01_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_toxic_classifier_demo_01 DistilBertForSequenceClassification from ravi2k1
+author: John Snow Labs
+name: distilbert_toxic_classifier_demo_01
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_toxic_classifier_demo_01` is a English model originally trained by ravi2k1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_toxic_classifier_demo_01_en_5.2.0_3.0_1700396318171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_toxic_classifier_demo_01_en_5.2.0_3.0_1700396318171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_toxic_classifier_demo_01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ravi2k1/distilbert-toxic-classifier-demo-01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_toxic_classifier_profoz_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_toxic_classifier_profoz_en.md
new file mode 100644
index 000000000000..b40db2955189
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_toxic_classifier_profoz_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_toxic_classifier_profoz DistilBertForSequenceClassification from profoz
+author: John Snow Labs
+name: distilbert_toxic_classifier_profoz
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_toxic_classifier_profoz` is a English model originally trained by profoz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_toxic_classifier_profoz_en_5.2.0_3.0_1700413214549.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_toxic_classifier_profoz_en_5.2.0_3.0_1700413214549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_toxic_classifier_profoz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/profoz/distilbert-toxic-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_toxic_deepbiz_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_toxic_deepbiz_en.md
new file mode 100644
index 000000000000..a52cbcf02832
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_toxic_deepbiz_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_toxic_deepbiz DistilBertForSequenceClassification from deepBiz
+author: John Snow Labs
+name: distilbert_toxic_deepbiz
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_toxic_deepbiz` is a English model originally trained by deepBiz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_toxic_deepbiz_en_5.2.0_3.0_1700420900407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_toxic_deepbiz_en_5.2.0_3.0_1700420900407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_toxic_deepbiz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/deepBiz/distilbert-toxic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_undersampled_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_undersampled_en.md
new file mode 100644
index 000000000000..01d85ad28a9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_undersampled_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_undersampled DistilBertForSequenceClassification from Kayvane
+author: John Snow Labs
+name: distilbert_undersampled
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_undersampled` is a English model originally trained by Kayvane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_undersampled_en_5.2.0_3.0_1700352263635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_undersampled_en_5.2.0_3.0_1700352263635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_undersampled|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/Kayvane/distilbert-undersampled
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilbert_yes_no_intent_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilbert_yes_no_intent_en.md
new file mode 100644
index 000000000000..8bf359a7bd59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilbert_yes_no_intent_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_yes_no_intent DistilBertForSequenceClassification from sachin19566
+author: John Snow Labs
+name: distilbert_yes_no_intent
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_yes_no_intent` is a English model originally trained by sachin19566.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_yes_no_intent_en_5.2.0_3.0_1700379704442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_yes_no_intent_en_5.2.0_3.0_1700379704442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilgender_spanish_2m_emptor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/emptor/distilgender-es-2M
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distill_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-distill_model_en.md
new file mode 100644
index 000000000000..0d6fe2c239cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distill_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distill_model DistilBertForSequenceClassification from stevendee5
+author: John Snow Labs
+name: distill_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distill_model` is a English model originally trained by stevendee5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distill_model_en_5.2.0_3.0_1700368106400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distill_model_en_5.2.0_3.0_1700368106400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distill_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/stevendee5/distill-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distillbert_110_uncased_movie_genre_en.md b/docs/_posts/ahmedlone127/2023-11-19-distillbert_110_uncased_movie_genre_en.md
new file mode 100644
index 000000000000..9dec730fd2fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distillbert_110_uncased_movie_genre_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distillbert_110_uncased_movie_genre DistilBertForSequenceClassification from Tejas3
+author: John Snow Labs
+name: distillbert_110_uncased_movie_genre
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_110_uncased_movie_genre` is a English model originally trained by Tejas3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_110_uncased_movie_genre_en_5.2.0_3.0_1700355786361.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_110_uncased_movie_genre_en_5.2.0_3.0_1700355786361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_110_uncased_movie_genre|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tejas3/distillbert_110_uncased_movie_genre
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distillbert_110_uncased_v1_en.md b/docs/_posts/ahmedlone127/2023-11-19-distillbert_110_uncased_v1_en.md
new file mode 100644
index 000000000000..4edf7f53df0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distillbert_110_uncased_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distillbert_110_uncased_v1 DistilBertForSequenceClassification from Tejas3
+author: John Snow Labs
+name: distillbert_110_uncased_v1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_110_uncased_v1` is a English model originally trained by Tejas3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_110_uncased_v1_en_5.2.0_3.0_1700395390615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_110_uncased_v1_en_5.2.0_3.0_1700395390615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_110_uncased_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tejas3/distillbert_110_uncased_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distillbert_base_uncased_80_all_en.md b/docs/_posts/ahmedlone127/2023-11-19-distillbert_base_uncased_80_all_en.md
new file mode 100644
index 000000000000..a4b25dc9869b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distillbert_base_uncased_80_all_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distillbert_base_uncased_80_all DistilBertForSequenceClassification from Tejas3
+author: John Snow Labs
+name: distillbert_base_uncased_80_all
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_base_uncased_80_all` is a English model originally trained by Tejas3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_80_all_en_5.2.0_3.0_1700385864161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_80_all_en_5.2.0_3.0_1700385864161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_base_uncased_80_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tejas3/distillbert_base_uncased_80_all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distillbert_base_uncased_80_en.md b/docs/_posts/ahmedlone127/2023-11-19-distillbert_base_uncased_80_en.md
new file mode 100644
index 000000000000..33ac24c2c6bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distillbert_base_uncased_80_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distillbert_base_uncased_80 DistilBertForSequenceClassification from Tejas3
+author: John Snow Labs
+name: distillbert_base_uncased_80
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_base_uncased_80` is a English model originally trained by Tejas3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_80_en_5.2.0_3.0_1700357046237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_80_en_5.2.0_3.0_1700357046237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_base_uncased_80|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tejas3/distillbert_base_uncased_80
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distillbert_base_uncased_finetuned_clinc_adsjklfsd_en.md b/docs/_posts/ahmedlone127/2023-11-19-distillbert_base_uncased_finetuned_clinc_adsjklfsd_en.md
new file mode 100644
index 000000000000..abc11d4f1bcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distillbert_base_uncased_finetuned_clinc_adsjklfsd_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distillbert_base_uncased_finetuned_clinc_adsjklfsd DistilBertForSequenceClassification from adsjklfsd
+author: John Snow Labs
+name: distillbert_base_uncased_finetuned_clinc_adsjklfsd
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_base_uncased_finetuned_clinc_adsjklfsd` is a English model originally trained by adsjklfsd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_finetuned_clinc_adsjklfsd_en_5.2.0_3.0_1700403452972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_finetuned_clinc_adsjklfsd_en_5.2.0_3.0_1700403452972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_base_uncased_finetuned_clinc_adsjklfsd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/adsjklfsd/distillbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distillbert_finetuned_indonlusmsa_en.md b/docs/_posts/ahmedlone127/2023-11-19-distillbert_finetuned_indonlusmsa_en.md
new file mode 100644
index 000000000000..799d23443ff1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distillbert_finetuned_indonlusmsa_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distillbert_finetuned_indonlusmsa DistilBertForSequenceClassification from mkhairil
+author: John Snow Labs
+name: distillbert_finetuned_indonlusmsa
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_finetuned_indonlusmsa` is a English model originally trained by mkhairil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_finetuned_indonlusmsa_en_5.2.0_3.0_1700403100657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_finetuned_indonlusmsa_en_5.2.0_3.0_1700403100657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_finetuned_indonlusmsa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mkhairil/distillbert-finetuned-indonlusmsa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilmbert_lr3e_05_wr0_1_optimadamw_hf_wd0_01_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilmbert_lr3e_05_wr0_1_optimadamw_hf_wd0_01_en.md
new file mode 100644
index 000000000000..98a1715b3746
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilmbert_lr3e_05_wr0_1_optimadamw_hf_wd0_01_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilmbert_lr3e_05_wr0_1_optimadamw_hf_wd0_01 DistilBertForSequenceClassification from karolill
+author: John Snow Labs
+name: distilmbert_lr3e_05_wr0_1_optimadamw_hf_wd0_01
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilmbert_lr3e_05_wr0_1_optimadamw_hf_wd0_01` is a English model originally trained by karolill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilmbert_lr3e_05_wr0_1_optimadamw_hf_wd0_01_en_5.2.0_3.0_1700374833759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilmbert_lr3e_05_wr0_1_optimadamw_hf_wd0_01_en_5.2.0_3.0_1700374833759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilmbert_lr3e_05_wr0_1_optimadamw_hf_wd0_01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/karolill/distilmbert_LR3e-05_WR0.1_OPTIMadamw_hf_WD0.01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilrubert_tiny_cased_conversational_v1_finetuned_empathy_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilrubert_tiny_cased_conversational_v1_finetuned_empathy_classifier_en.md
new file mode 100644
index 000000000000..fc1e83593a4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilrubert_tiny_cased_conversational_v1_finetuned_empathy_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilrubert_tiny_cased_conversational_v1_finetuned_empathy_classifier DistilBertForSequenceClassification from mmillet
+author: John Snow Labs
+name: distilrubert_tiny_cased_conversational_v1_finetuned_empathy_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilrubert_tiny_cased_conversational_v1_finetuned_empathy_classifier` is a English model originally trained by mmillet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilrubert_tiny_cased_conversational_v1_finetuned_empathy_classifier_en_5.2.0_3.0_1700412237058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilrubert_tiny_cased_conversational_v1_finetuned_empathy_classifier_en_5.2.0_3.0_1700412237058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilrubert_tiny_cased_conversational_v1_finetuned_empathy_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|39.2 MB|
+
+## References
+
+https://huggingface.co/mmillet/distilrubert-tiny-cased-conversational-v1_finetuned_empathy_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-distilrubert_tiny_cased_conversational_v1_single_finetuned_empathy_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-distilrubert_tiny_cased_conversational_v1_single_finetuned_empathy_classifier_en.md
new file mode 100644
index 000000000000..9973ffbd5f2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-distilrubert_tiny_cased_conversational_v1_single_finetuned_empathy_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilrubert_tiny_cased_conversational_v1_single_finetuned_empathy_classifier DistilBertForSequenceClassification from mmillet
+author: John Snow Labs
+name: distilrubert_tiny_cased_conversational_v1_single_finetuned_empathy_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilrubert_tiny_cased_conversational_v1_single_finetuned_empathy_classifier` is a English model originally trained by mmillet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilrubert_tiny_cased_conversational_v1_single_finetuned_empathy_classifier_en_5.2.0_3.0_1700392221437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilrubert_tiny_cased_conversational_v1_single_finetuned_empathy_classifier_en_5.2.0_3.0_1700392221437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilrubert_tiny_cased_conversational_v1_single_finetuned_empathy_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|39.2 MB|
+
+## References
+
+https://huggingface.co/mmillet/distilrubert-tiny-cased-conversational-v1_single_finetuned_empathy_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-duplicatesunique_en.md b/docs/_posts/ahmedlone127/2023-11-19-duplicatesunique_en.md
new file mode 100644
index 000000000000..a2ad353e476c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-duplicatesunique_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English duplicatesunique DistilBertForSequenceClassification from Kamer
+author: John Snow Labs
+name: duplicatesunique
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`duplicatesunique` is a English model originally trained by Kamer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/duplicatesunique_en_5.2.0_3.0_1700409930111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/duplicatesunique_en_5.2.0_3.0_1700409930111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|duplicatesunique|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Kamer/DuplicatesUnique
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-edos_2023_baseline_distilbert_base_uncased_label_sexist_en.md b/docs/_posts/ahmedlone127/2023-11-19-edos_2023_baseline_distilbert_base_uncased_label_sexist_en.md
new file mode 100644
index 000000000000..03d284622e17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-edos_2023_baseline_distilbert_base_uncased_label_sexist_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English edos_2023_baseline_distilbert_base_uncased_label_sexist DistilBertForSequenceClassification from lct-rug-2022
+author: John Snow Labs
+name: edos_2023_baseline_distilbert_base_uncased_label_sexist
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`edos_2023_baseline_distilbert_base_uncased_label_sexist` is a English model originally trained by lct-rug-2022.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/edos_2023_baseline_distilbert_base_uncased_label_sexist_en_5.2.0_3.0_1700352883115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/edos_2023_baseline_distilbert_base_uncased_label_sexist_en_5.2.0_3.0_1700352883115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|edos_2023_baseline_distilbert_base_uncased_label_sexist|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|157.8 MB|
+
+## References
+
+https://huggingface.co/lct-rug-2022/edos-2023-baseline-distilbert-base-uncased-label_sexist
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-emotion_analysis_of_twitter_comments_en.md b/docs/_posts/ahmedlone127/2023-11-19-emotion_analysis_of_twitter_comments_en.md
new file mode 100644
index 000000000000..c386cb28c676
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-emotion_analysis_of_twitter_comments_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotion_analysis_of_twitter_comments DistilBertForSequenceClassification from shubhambawiskar
+author: John Snow Labs
+name: emotion_analysis_of_twitter_comments
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_analysis_of_twitter_comments` is a English model originally trained by shubhambawiskar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_analysis_of_twitter_comments_en_5.2.0_3.0_1700353205382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_analysis_of_twitter_comments_en_5.2.0_3.0_1700353205382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_analysis_of_twitter_comments|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/shubhambawiskar/Emotion_Analysis_of_Twitter_Comments
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-emotion_detection_conversations_en.md b/docs/_posts/ahmedlone127/2023-11-19-emotion_detection_conversations_en.md
new file mode 100644
index 000000000000..b02a23778df4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-emotion_detection_conversations_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotion_detection_conversations DistilBertForSequenceClassification from Deysi
+author: John Snow Labs
+name: emotion_detection_conversations
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_detection_conversations` is a English model originally trained by Deysi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_detection_conversations_en_5.2.0_3.0_1700418166818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_detection_conversations_en_5.2.0_3.0_1700418166818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_detection_conversations|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Deysi/emotion_detection_conversations
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-emotion_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-emotion_distilbert_en.md
new file mode 100644
index 000000000000..876da0b72b15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-emotion_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotion_distilbert DistilBertForSequenceClassification from sbenel
+author: John Snow Labs
+name: emotion_distilbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_distilbert` is a English model originally trained by sbenel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_distilbert_en_5.2.0_3.0_1700386430041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_distilbert_en_5.2.0_3.0_1700386430041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sbenel/emotion-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-emtract_distilbert_base_uncased_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-19-emtract_distilbert_base_uncased_emotion_en.md
new file mode 100644
index 000000000000..5ff4e4262adb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-emtract_distilbert_base_uncased_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emtract_distilbert_base_uncased_emotion DistilBertForSequenceClassification from vamossyd
+author: John Snow Labs
+name: emtract_distilbert_base_uncased_emotion
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emtract_distilbert_base_uncased_emotion` is a English model originally trained by vamossyd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emtract_distilbert_base_uncased_emotion_en_5.2.0_3.0_1700354415893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emtract_distilbert_base_uncased_emotion_en_5.2.0_3.0_1700354415893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emtract_distilbert_base_uncased_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|263.4 MB|
+
+## References
+
+https://huggingface.co/vamossyd/emtract-distilbert-base-uncased-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-english_grammar_en.md b/docs/_posts/ahmedlone127/2023-11-19-english_grammar_en.md
new file mode 100644
index 000000000000..1178fd8eb02f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-english_grammar_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English english_grammar DistilBertForSequenceClassification from adgw
+author: John Snow Labs
+name: english_grammar
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_grammar` is a English model originally trained by adgw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_grammar_en_5.2.0_3.0_1700354757228.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_grammar_en_5.2.0_3.0_1700354757228.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_grammar|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/adgw/english_grammar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-enron_spam_checker_10000_en.md b/docs/_posts/ahmedlone127/2023-11-19-enron_spam_checker_10000_en.md
new file mode 100644
index 000000000000..48465efeb3a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-enron_spam_checker_10000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English enron_spam_checker_10000 DistilBertForSequenceClassification from CalamitousVisibility
+author: John Snow Labs
+name: enron_spam_checker_10000
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`enron_spam_checker_10000` is a English model originally trained by CalamitousVisibility.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/enron_spam_checker_10000_en_5.2.0_3.0_1700433302352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/enron_spam_checker_10000_en_5.2.0_3.0_1700433302352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|enron_spam_checker_10000|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/CalamitousVisibility/enron-spam-checker-10000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-ethnicity_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-ethnicity_classification_en.md
new file mode 100644
index 000000000000..2f73e7ba808b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-ethnicity_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ethnicity_classification DistilBertForSequenceClassification from padmajabfrl
+author: John Snow Labs
+name: ethnicity_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ethnicity_classification` is a English model originally trained by padmajabfrl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ethnicity_classification_en_5.2.0_3.0_1700354668601.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ethnicity_classification_en_5.2.0_3.0_1700354668601.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ethnicity_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/padmajabfrl/Ethnicity-Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-ethnicity_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-ethnicity_model_en.md
new file mode 100644
index 000000000000..6bfe58b692cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-ethnicity_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ethnicity_model DistilBertForSequenceClassification from padmajabfrl
+author: John Snow Labs
+name: ethnicity_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ethnicity_model` is a English model originally trained by padmajabfrl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ethnicity_model_en_5.2.0_3.0_1700377779740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ethnicity_model_en_5.2.0_3.0_1700377779740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ethnicity_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/padmajabfrl/Ethnicity-Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-fakenewsclassifierdistilbert_cased_en.md b/docs/_posts/ahmedlone127/2023-11-19-fakenewsclassifierdistilbert_cased_en.md
new file mode 100644
index 000000000000..52617ad61bf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-fakenewsclassifierdistilbert_cased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fakenewsclassifierdistilbert_cased DistilBertForSequenceClassification from caballeroch
+author: John Snow Labs
+name: fakenewsclassifierdistilbert_cased
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fakenewsclassifierdistilbert_cased` is a English model originally trained by caballeroch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenewsclassifierdistilbert_cased_en_5.2.0_3.0_1700364797316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenewsclassifierdistilbert_cased_en_5.2.0_3.0_1700364797316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenewsclassifierdistilbert_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/caballeroch/FakeNewsClassifierDistilBert-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-fanfics_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-fanfics_classification_en.md
new file mode 100644
index 000000000000..99755da683a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-fanfics_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fanfics_classification DistilBertForSequenceClassification from Helwyn
+author: John Snow Labs
+name: fanfics_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fanfics_classification` is a English model originally trained by Helwyn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fanfics_classification_en_5.2.0_3.0_1700414792225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fanfics_classification_en_5.2.0_3.0_1700414792225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fanfics_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Helwyn/Fanfics_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-fatimah_fake_news_bert_en.md b/docs/_posts/ahmedlone127/2023-11-19-fatimah_fake_news_bert_en.md
new file mode 100644
index 000000000000..d7e9cd1cb204
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-fatimah_fake_news_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fatimah_fake_news_bert DistilBertForSequenceClassification from yinde
+author: John Snow Labs
+name: fatimah_fake_news_bert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fatimah_fake_news_bert` is a English model originally trained by yinde.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fatimah_fake_news_bert_en_5.2.0_3.0_1700397230803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fatimah_fake_news_bert_en_5.2.0_3.0_1700397230803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fatimah_fake_news_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/yinde/fatimah_fake_news_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-fear_mongering_detection_en.md b/docs/_posts/ahmedlone127/2023-11-19-fear_mongering_detection_en.md
new file mode 100644
index 000000000000..23d3ab3d5155
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-fear_mongering_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fear_mongering_detection DistilBertForSequenceClassification from Falconsai
+author: John Snow Labs
+name: fear_mongering_detection
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fear_mongering_detection` is a English model originally trained by Falconsai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fear_mongering_detection_en_5.2.0_3.0_1700354918278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fear_mongering_detection_en_5.2.0_3.0_1700354918278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fear_mongering_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Falconsai/fear_mongering_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-fin_sentiment_rajistics_en.md b/docs/_posts/ahmedlone127/2023-11-19-fin_sentiment_rajistics_en.md
new file mode 100644
index 000000000000..96026e407714
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-fin_sentiment_rajistics_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fin_sentiment_rajistics DistilBertForSequenceClassification from rajistics
+author: John Snow Labs
+name: fin_sentiment_rajistics
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fin_sentiment_rajistics` is a English model originally trained by rajistics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_sentiment_rajistics_en_5.2.0_3.0_1700434477813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_sentiment_rajistics_en_5.2.0_3.0_1700434477813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fin_sentiment_rajistics|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rajistics/fin_sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-financial_twitter_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-financial_twitter_sentiment_model_en.md
new file mode 100644
index 000000000000..90455bc950c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-financial_twitter_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English financial_twitter_sentiment_model DistilBertForSequenceClassification from HugMaik
+author: John Snow Labs
+name: financial_twitter_sentiment_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`financial_twitter_sentiment_model` is a English model originally trained by HugMaik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financial_twitter_sentiment_model_en_5.2.0_3.0_1700428505169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financial_twitter_sentiment_model_en_5.2.0_3.0_1700428505169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|financial_twitter_sentiment_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/HugMaik/financial-twitter-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-fine_tuned_fake_news_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-fine_tuned_fake_news_classifier_en.md
new file mode 100644
index 000000000000..fb087b054a53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-fine_tuned_fake_news_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tuned_fake_news_classifier DistilBertForSequenceClassification from koliskos
+author: John Snow Labs
+name: fine_tuned_fake_news_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_fake_news_classifier` is a English model originally trained by koliskos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_fake_news_classifier_en_5.2.0_3.0_1700399210519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_fake_news_classifier_en_5.2.0_3.0_1700399210519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_fake_news_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/koliskos/fine_tuned_fake_news_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_adult_content_detection_nicolaskaram_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_adult_content_detection_nicolaskaram_en.md
new file mode 100644
index 000000000000..6928904adc22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_adult_content_detection_nicolaskaram_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_adult_content_detection_nicolaskaram DistilBertForSequenceClassification from NicolasKaram
+author: John Snow Labs
+name: finetuned_distilbert_adult_content_detection_nicolaskaram
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_adult_content_detection_nicolaskaram` is a English model originally trained by NicolasKaram.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_adult_content_detection_nicolaskaram_en_5.2.0_3.0_1700413753995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_adult_content_detection_nicolaskaram_en_5.2.0_3.0_1700413753995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_adult_content_detection_nicolaskaram|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/NicolasKaram/finetuned-distilbert-adult-content-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_base_model_flokabukie_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_base_model_flokabukie_en.md
new file mode 100644
index 000000000000..1874da3f4cba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_base_model_flokabukie_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_base_model_flokabukie DistilBertForSequenceClassification from flokabukie
+author: John Snow Labs
+name: finetuned_distilbert_base_model_flokabukie
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_base_model_flokabukie` is a English model originally trained by flokabukie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_model_flokabukie_en_5.2.0_3.0_1700353039494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_model_flokabukie_en_5.2.0_3.0_1700353039494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_base_model_flokabukie|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/flokabukie/Finetuned-Distilbert-base-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_base_uncased_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_base_uncased_emotion_en.md
new file mode 100644
index 000000000000..aa849dc9c6b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_base_uncased_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_base_uncased_emotion DistilBertForSequenceClassification from 02shanky
+author: John Snow Labs
+name: finetuned_distilbert_base_uncased_emotion
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_base_uncased_emotion` is a English model originally trained by 02shanky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_uncased_emotion_en_5.2.0_3.0_1700398451710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_uncased_emotion_en_5.2.0_3.0_1700398451710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_base_uncased_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/02shanky/finetuned-distilbert-base-uncased-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_base_uncased_logiczmaksimka_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_base_uncased_logiczmaksimka_en.md
new file mode 100644
index 000000000000..3ae4ee3add86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_base_uncased_logiczmaksimka_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_base_uncased_logiczmaksimka DistilBertForSequenceClassification from logiczmaksimka
+author: John Snow Labs
+name: finetuned_distilbert_base_uncased_logiczmaksimka
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_base_uncased_logiczmaksimka` is a English model originally trained by logiczmaksimka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_uncased_logiczmaksimka_en_5.2.0_3.0_1700355222309.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_base_uncased_logiczmaksimka_en_5.2.0_3.0_1700355222309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_base_uncased_logiczmaksimka|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/logiczmaksimka/finetuned_distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_multi_label_emotion_6_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_multi_label_emotion_6_en.md
new file mode 100644
index 000000000000..996cc81d6f7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuned_distilbert_multi_label_emotion_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_multi_label_emotion_6 DistilBertForSequenceClassification from abdulmatinomotoso
+author: John Snow Labs
+name: finetuned_distilbert_multi_label_emotion_6
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_multi_label_emotion_6` is a English model originally trained by abdulmatinomotoso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_6_en_5.2.0_3.0_1700385771385.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_6_en_5.2.0_3.0_1700385771385.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_multi_label_emotion_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abdulmatinomotoso/finetuned-distilbert-multi-label-emotion_6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuned_sentence_itr0_2e_05_essays_01_03_2022_13_20_40_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuned_sentence_itr0_2e_05_essays_01_03_2022_13_20_40_en.md
new file mode 100644
index 000000000000..986e2b67c146
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuned_sentence_itr0_2e_05_essays_01_03_2022_13_20_40_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentence_itr0_2e_05_essays_01_03_2022_13_20_40 DistilBertForSequenceClassification from ali2066
+author: John Snow Labs
+name: finetuned_sentence_itr0_2e_05_essays_01_03_2022_13_20_40
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_itr0_2e_05_essays_01_03_2022_13_20_40` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr0_2e_05_essays_01_03_2022_13_20_40_en_5.2.0_3.0_1700379705251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr0_2e_05_essays_01_03_2022_13_20_40_en_5.2.0_3.0_1700379705251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_itr0_2e_05_essays_01_03_2022_13_20_40|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_sentence_itr0_2e-05_essays_01_03_2022-13_20_40
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuned_sentiment_analysis_model_3000_samples_base_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuned_sentiment_analysis_model_3000_samples_base_distilbert_en.md
new file mode 100644
index 000000000000..1062ddcc25cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuned_sentiment_analysis_model_3000_samples_base_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentiment_analysis_model_3000_samples_base_distilbert DistilBertForSequenceClassification from Godspower
+author: John Snow Labs
+name: finetuned_sentiment_analysis_model_3000_samples_base_distilbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_analysis_model_3000_samples_base_distilbert` is a English model originally trained by Godspower.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_analysis_model_3000_samples_base_distilbert_en_5.2.0_3.0_1700355500761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_analysis_model_3000_samples_base_distilbert_en_5.2.0_3.0_1700355500761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentiment_analysis_model_3000_samples_base_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Godspower/finetuned-sentiment-analysis-model-3000-samples-base-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_distilbert_movie_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_distilbert_movie_classification_en.md
new file mode 100644
index 000000000000..b5587839e830
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_distilbert_movie_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_distilbert_movie_classification DistilBertForSequenceClassification from geniusguy777
+author: John Snow Labs
+name: finetuning_distilbert_movie_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_distilbert_movie_classification` is a English model originally trained by geniusguy777.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_movie_classification_en_5.2.0_3.0_1700355396722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_movie_classification_en_5.2.0_3.0_1700355396722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_distilbert_movie_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/geniusguy777/finetuning-distilbert-movie-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_emotion_model_v_shukla_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_emotion_model_v_shukla_en.md
new file mode 100644
index 000000000000..dff74318a135
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_emotion_model_v_shukla_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_emotion_model_v_shukla DistilBertForSequenceClassification from V-Shukla
+author: John Snow Labs
+name: finetuning_emotion_model_v_shukla
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_v_shukla` is a English model originally trained by V-Shukla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_v_shukla_en_5.2.0_3.0_1700394585002.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_v_shukla_en_5.2.0_3.0_1700394585002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_emotion_model_v_shukla|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/V-Shukla/finetuning-emotion-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_movie_sentiment_model_9000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_movie_sentiment_model_9000_samples_en.md
new file mode 100644
index 000000000000..34fb855442f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_movie_sentiment_model_9000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_movie_sentiment_model_9000_samples DistilBertForSequenceClassification from Manishkalra
+author: John Snow Labs
+name: finetuning_movie_sentiment_model_9000_samples
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_movie_sentiment_model_9000_samples` is a English model originally trained by Manishkalra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_movie_sentiment_model_9000_samples_en_5.2.0_3.0_1700408208763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_movie_sentiment_model_9000_samples_en_5.2.0_3.0_1700408208763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_movie_sentiment_model_9000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Manishkalra/finetuning-movie-sentiment-model-9000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_reviews_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_reviews_sentiment_model_en.md
new file mode 100644
index 000000000000..5e6f937c714b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_reviews_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_reviews_sentiment_model DistilBertForSequenceClassification from rbhowsden
+author: John Snow Labs
+name: finetuning_reviews_sentiment_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_reviews_sentiment_model` is a English model originally trained by rbhowsden.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_reviews_sentiment_model_en_5.2.0_3.0_1700403973060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_reviews_sentiment_model_en_5.2.0_3.0_1700403973060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_reviews_sentiment_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rbhowsden/finetuning-reviews-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_analysis_model_3000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_analysis_model_3000_samples_en.md
new file mode 100644
index 000000000000..b70dd0691fa7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_analysis_model_3000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_analysis_model_3000_samples DistilBertForSequenceClassification from federicopascual
+author: John Snow Labs
+name: finetuning_sentiment_analysis_model_3000_samples
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_analysis_model_3000_samples` is a English model originally trained by federicopascual.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_model_3000_samples_en_5.2.0_3.0_1700404792215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_analysis_model_3000_samples_en_5.2.0_3.0_1700404792215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_analysis_model_3000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/federicopascual/finetuning-sentiment-analysis-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_10000_samples_js21_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_10000_samples_js21_en.md
new file mode 100644
index 000000000000..68dc7d408cae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_10000_samples_js21_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_10000_samples_js21 DistilBertForSequenceClassification from JS21
+author: John Snow Labs
+name: finetuning_sentiment_model_10000_samples_js21
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_10000_samples_js21` is a English model originally trained by JS21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_10000_samples_js21_en_5.2.0_3.0_1700355404111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_10000_samples_js21_en_5.2.0_3.0_1700355404111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_10000_samples_js21|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JS21/finetuning-sentiment-model-10000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_25000_samples_youlun77_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_25000_samples_youlun77_en.md
new file mode 100644
index 000000000000..59b2fff6ecf4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_25000_samples_youlun77_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_25000_samples_youlun77 DistilBertForSequenceClassification from youlun77
+author: John Snow Labs
+name: finetuning_sentiment_model_25000_samples_youlun77
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_25000_samples_youlun77` is a English model originally trained by youlun77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_25000_samples_youlun77_en_5.2.0_3.0_1700428504376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_25000_samples_youlun77_en_5.2.0_3.0_1700428504376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_25000_samples_youlun77|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/youlun77/finetuning-sentiment-model-25000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_baxterai_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_baxterai_en.md
new file mode 100644
index 000000000000..5ec80f7bd7dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_baxterai_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_baxterai DistilBertForSequenceClassification from BaxterAI
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_baxterai
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_baxterai` is a English model originally trained by BaxterAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_baxterai_en_5.2.0_3.0_1700402177170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_baxterai_en_5.2.0_3.0_1700402177170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_baxterai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/BaxterAI/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_csam_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_csam_en.md
new file mode 100644
index 000000000000..a567283b2e98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_csam_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_csam DistilBertForSequenceClassification from csam
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_csam
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_csam` is a English model originally trained by csam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_csam_en_5.2.0_3.0_1700438198635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_csam_en_5.2.0_3.0_1700438198635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_csam|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/csam/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_daniel780_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_daniel780_en.md
new file mode 100644
index 000000000000..949fb32c74d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_daniel780_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_daniel780 DistilBertForSequenceClassification from daniel780
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_daniel780
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_daniel780` is a English model originally trained by daniel780.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_daniel780_en_5.2.0_3.0_1700415303708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_daniel780_en_5.2.0_3.0_1700415303708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_daniel780|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/daniel780/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_duboij_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_duboij_en.md
new file mode 100644
index 000000000000..8d6a974eec4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_duboij_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_duboij DistilBertForSequenceClassification from DuboiJ
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_duboij
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_duboij` is a English model originally trained by DuboiJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_duboij_en_5.2.0_3.0_1700359475275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_duboij_en_5.2.0_3.0_1700359475275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_duboij|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DuboiJ/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_manishkalra_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_manishkalra_en.md
new file mode 100644
index 000000000000..2fac4340b87f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_manishkalra_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_manishkalra DistilBertForSequenceClassification from Manishkalra
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_manishkalra
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_manishkalra` is a English model originally trained by Manishkalra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_manishkalra_en_5.2.0_3.0_1700386843389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_manishkalra_en_5.2.0_3.0_1700386843389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_manishkalra|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Manishkalra/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_monusingh_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_monusingh_en.md
new file mode 100644
index 000000000000..e99306214990
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_monusingh_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_monusingh DistilBertForSequenceClassification from monusingh
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_monusingh
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_monusingh` is a English model originally trained by monusingh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_monusingh_en_5.2.0_3.0_1700420590514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_monusingh_en_5.2.0_3.0_1700420590514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_monusingh|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/monusingh/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_norwegiangoat_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_norwegiangoat_en.md
new file mode 100644
index 000000000000..d6e1cd1937a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_norwegiangoat_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_norwegiangoat DistilBertForSequenceClassification from NorwegianGoat
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_norwegiangoat
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_norwegiangoat` is a English model originally trained by NorwegianGoat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_norwegiangoat_en_5.2.0_3.0_1700356082492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_norwegiangoat_en_5.2.0_3.0_1700356082492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_norwegiangoat|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/NorwegianGoat/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_palmer0_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_palmer0_en.md
new file mode 100644
index 000000000000..3627d9c59ae2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_palmer0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_palmer0 DistilBertForSequenceClassification from palmer0
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_palmer0
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_palmer0` is a English model originally trained by palmer0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_palmer0_en_5.2.0_3.0_1700363705358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_palmer0_en_5.2.0_3.0_1700363705358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_palmer0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/palmer0/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_sahara_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_sahara_en.md
new file mode 100644
index 000000000000..2458485c202b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_sahara_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_sahara DistilBertForSequenceClassification from Sahara
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_sahara
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sahara` is a English model originally trained by Sahara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sahara_en_5.2.0_3.0_1700384844075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sahara_en_5.2.0_3.0_1700384844075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_sahara|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Sahara/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_sgraf202_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_sgraf202_en.md
new file mode 100644
index 000000000000..96e940b2266e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_sgraf202_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_sgraf202 DistilBertForSequenceClassification from sgraf202
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_sgraf202
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sgraf202` is a English model originally trained by sgraf202.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sgraf202_en_5.2.0_3.0_1700437728440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sgraf202_en_5.2.0_3.0_1700437728440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_sgraf202|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sgraf202/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_snake12b_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_snake12b_en.md
new file mode 100644
index 000000000000..e831f0795635
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_snake12b_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_snake12b DistilBertForSequenceClassification from Snake12b
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_snake12b
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_snake12b` is a English model originally trained by Snake12b.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_snake12b_en_5.2.0_3.0_1700401094861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_snake12b_en_5.2.0_3.0_1700401094861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_snake12b|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Snake12b/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_testcopy_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_testcopy_en.md
new file mode 100644
index 000000000000..c89164a22ef7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_testcopy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_testcopy DistilBertForSequenceClassification from federicopascual
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_testcopy
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_testcopy` is a English model originally trained by federicopascual.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_testcopy_en_5.2.0_3.0_1700369058603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_testcopy_en_5.2.0_3.0_1700369058603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_testcopy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/federicopascual/finetuning-sentiment-model-3000-samples-testcopy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_thenacl_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_thenacl_en.md
new file mode 100644
index 000000000000..f99ed323a977
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_3000_samples_thenacl_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_thenacl DistilBertForSequenceClassification from TheNaCL
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_thenacl
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_thenacl` is a English model originally trained by TheNaCL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_thenacl_en_5.2.0_3.0_1700420718141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_thenacl_en_5.2.0_3.0_1700420718141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_thenacl|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TheNaCL/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_distilbert_base_25000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_distilbert_base_25000_samples_en.md
new file mode 100644
index 000000000000..fad6f0636369
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_distilbert_base_25000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_distilbert_base_25000_samples DistilBertForSequenceClassification from choidf
+author: John Snow Labs
+name: finetuning_sentiment_model_distilbert_base_25000_samples
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_distilbert_base_25000_samples` is a English model originally trained by choidf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_distilbert_base_25000_samples_en_5.2.0_3.0_1700380431443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_distilbert_base_25000_samples_en_5.2.0_3.0_1700380431443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_distilbert_base_25000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/choidf/finetuning-sentiment-model-distilbert-base-25000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_for_c2er_soumyaranjan_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_for_c2er_soumyaranjan_en.md
new file mode 100644
index 000000000000..fa48633d61ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_for_c2er_soumyaranjan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_for_c2er_soumyaranjan DistilBertForSequenceClassification from soumyaranjan
+author: John Snow Labs
+name: finetuning_sentiment_model_for_c2er_soumyaranjan
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_for_c2er_soumyaranjan` is a English model originally trained by soumyaranjan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_for_c2er_soumyaranjan_en_5.2.0_3.0_1700356291847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_for_c2er_soumyaranjan_en_5.2.0_3.0_1700356291847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_for_c2er_soumyaranjan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/soumyaranjan/finetuning-sentiment-model-for-c2er
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_test_seema09_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_test_seema09_en.md
new file mode 100644
index 000000000000..a49a4a03a72a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_model_test_seema09_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_test_seema09 DistilBertForSequenceClassification from Seema09
+author: John Snow Labs
+name: finetuning_sentiment_model_test_seema09
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_test_seema09` is a English model originally trained by Seema09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_test_seema09_en_5.2.0_3.0_1700369289087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_test_seema09_en_5.2.0_3.0_1700369289087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_test_seema09|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Seema09/finetuning-sentiment-model-Test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_yelp_reviews_en.md b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_yelp_reviews_en.md
new file mode 100644
index 000000000000..d97cc7716b2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-finetuning_sentiment_yelp_reviews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_yelp_reviews DistilBertForSequenceClassification from rachtxxy
+author: John Snow Labs
+name: finetuning_sentiment_yelp_reviews
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_yelp_reviews` is a English model originally trained by rachtxxy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_yelp_reviews_en_5.2.0_3.0_1700400309459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_yelp_reviews_en_5.2.0_3.0_1700400309459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_yelp_reviews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rachtxxy/finetuning-sentiment-yelp-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-french_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-french_model_en.md
new file mode 100644
index 000000000000..c721de5ff040
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-french_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English french_model DistilBertForSequenceClassification from TheoLepere
+author: John Snow Labs
+name: french_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`french_model` is a English model originally trained by TheoLepere.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/french_model_en_5.2.0_3.0_1700358440219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/french_model_en_5.2.0_3.0_1700358440219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|french_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/TheoLepere/french_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-gendec_with_distilmbert_ja.md b/docs/_posts/ahmedlone127/2023-11-19-gendec_with_distilmbert_ja.md
new file mode 100644
index 000000000000..e218fc801c07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-gendec_with_distilmbert_ja.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Japanese gendec_with_distilmbert DistilBertForSequenceClassification from tarudesu
+author: John Snow Labs
+name: gendec_with_distilmbert
+date: 2023-11-19
+tags: [bert, ja, open_source, sequence_classification, onnx]
+task: Text Classification
+language: ja
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gendec_with_distilmbert` is a Japanese model originally trained by tarudesu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gendec_with_distilmbert_ja_5.2.0_3.0_1700371053259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gendec_with_distilmbert_ja_5.2.0_3.0_1700371053259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gendec_with_distilmbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ja|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/tarudesu/gendec-with-distilmbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-gender_en.md b/docs/_posts/ahmedlone127/2023-11-19-gender_en.md
new file mode 100644
index 000000000000..fdcd8177f266
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-gender_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English gender DistilBertForSequenceClassification from priyabrat
+author: John Snow Labs
+name: gender
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gender` is a English model originally trained by priyabrat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gender_en_5.2.0_3.0_1700354759708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gender_en_5.2.0_3.0_1700354759708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gender|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/priyabrat/gender
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-genre_pred_model_reduced_en.md b/docs/_posts/ahmedlone127/2023-11-19-genre_pred_model_reduced_en.md
new file mode 100644
index 000000000000..bf56129572f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-genre_pred_model_reduced_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English genre_pred_model_reduced DistilBertForSequenceClassification from matthiasr
+author: John Snow Labs
+name: genre_pred_model_reduced
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`genre_pred_model_reduced` is a English model originally trained by matthiasr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/genre_pred_model_reduced_en_5.2.0_3.0_1700405695076.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/genre_pred_model_reduced_en_5.2.0_3.0_1700405695076.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|genre_pred_model_reduced|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/matthiasr/genre_pred_model_reduced
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-good_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-good_sentiment_model_en.md
new file mode 100644
index 000000000000..b8e559c28b29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-good_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English good_sentiment_model DistilBertForSequenceClassification from TheJournal
+author: John Snow Labs
+name: good_sentiment_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`good_sentiment_model` is a English model originally trained by TheJournal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/good_sentiment_model_en_5.2.0_3.0_1700433210743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/good_sentiment_model_en_5.2.0_3.0_1700433210743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|good_sentiment_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/TheJournal/good_sentiment_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-green_sentiment_latest14_en.md b/docs/_posts/ahmedlone127/2023-11-19-green_sentiment_latest14_en.md
new file mode 100644
index 000000000000..b6eb07636f0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-green_sentiment_latest14_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English green_sentiment_latest14 DistilBertForSequenceClassification from manjinder
+author: John Snow Labs
+name: green_sentiment_latest14
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`green_sentiment_latest14` is a English model originally trained by manjinder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/green_sentiment_latest14_en_5.2.0_3.0_1700410722363.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/green_sentiment_latest14_en_5.2.0_3.0_1700410722363.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|green_sentiment_latest14|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/manjinder/green_sentiment_latest14
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-guardian_news_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-19-guardian_news_distilbert_base_uncased_en.md
new file mode 100644
index 000000000000..dcdd6d6c3762
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-guardian_news_distilbert_base_uncased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English guardian_news_distilbert_base_uncased DistilBertForSequenceClassification from cambridgeltl
+author: John Snow Labs
+name: guardian_news_distilbert_base_uncased
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`guardian_news_distilbert_base_uncased` is a English model originally trained by cambridgeltl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/guardian_news_distilbert_base_uncased_en_5.2.0_3.0_1700408485124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/guardian_news_distilbert_base_uncased_en_5.2.0_3.0_1700408485124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_speech_targets_dutch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|nl|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/IMSyPP/hate_speech_targets_nl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-hate_trained_final_en.md b/docs/_posts/ahmedlone127/2023-11-19-hate_trained_final_en.md
new file mode 100644
index 000000000000..6486a76abe95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-hate_trained_final_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_trained_final DistilBertForSequenceClassification from aXhyra
+author: John Snow Labs
+name: hate_trained_final
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_trained_final` is a English model originally trained by aXhyra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_trained_final_en_5.2.0_3.0_1700389734147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_trained_final_en_5.2.0_3.0_1700389734147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_trained_final|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/aXhyra/hate_trained_final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-hello_custom_en.md b/docs/_posts/ahmedlone127/2023-11-19-hello_custom_en.md
new file mode 100644
index 000000000000..305657255b63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-hello_custom_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hello_custom DistilBertForSequenceClassification from ljh1
+author: John Snow Labs
+name: hello_custom
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hello_custom` is a English model originally trained by ljh1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hello_custom_en_5.2.0_3.0_1700406290626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hello_custom_en_5.2.0_3.0_1700406290626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hello_custom|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ljh1/hello-custom
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-hface_mlops_demo_dbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-hface_mlops_demo_dbert_en.md
new file mode 100644
index 000000000000..dcc63443d2a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-hface_mlops_demo_dbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hface_mlops_demo_dbert DistilBertForSequenceClassification from naga-jay
+author: John Snow Labs
+name: hface_mlops_demo_dbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hface_mlops_demo_dbert` is a English model originally trained by naga-jay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hface_mlops_demo_dbert_en_5.2.0_3.0_1700356767181.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hface_mlops_demo_dbert_en_5.2.0_3.0_1700356767181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hface_mlops_demo_dbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/naga-jay/hface_mlops_demo_dbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-hugging_face_en.md b/docs/_posts/ahmedlone127/2023-11-19-hugging_face_en.md
new file mode 100644
index 000000000000..1e691ed61b90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-hugging_face_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hugging_face DistilBertForSequenceClassification from chrishistewandb
+author: John Snow Labs
+name: hugging_face
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hugging_face` is a English model originally trained by chrishistewandb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hugging_face_en_5.2.0_3.0_1700398176384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hugging_face_en_5.2.0_3.0_1700398176384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hugging_face|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chrishistewandb/hugging-face
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-huggingface_sequence_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-huggingface_sequence_classification_en.md
new file mode 100644
index 000000000000..d51cb4ff33bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-huggingface_sequence_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English huggingface_sequence_classification DistilBertForSequenceClassification from epicmobile181
+author: John Snow Labs
+name: huggingface_sequence_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`huggingface_sequence_classification` is a English model originally trained by epicmobile181.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/huggingface_sequence_classification_en_5.2.0_3.0_1700400247420.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/huggingface_sequence_classification_en_5.2.0_3.0_1700400247420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|huggingface_sequence_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/epicmobile181/huggingface_sequence_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-humor_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-humor_classifier_en.md
new file mode 100644
index 000000000000..c2d13f899b55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-humor_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English humor_classifier DistilBertForSequenceClassification from r3b3lj3l
+author: John Snow Labs
+name: humor_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`humor_classifier` is a English model originally trained by r3b3lj3l.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/humor_classifier_en_5.2.0_3.0_1700396056809.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/humor_classifier_en_5.2.0_3.0_1700396056809.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|humor_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/r3b3lj3l/humor_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-hupd_distilbert_claims_en.md b/docs/_posts/ahmedlone127/2023-11-19-hupd_distilbert_claims_en.md
new file mode 100644
index 000000000000..7a356f87a032
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-hupd_distilbert_claims_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hupd_distilbert_claims DistilBertForSequenceClassification from theresatvan
+author: John Snow Labs
+name: hupd_distilbert_claims
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hupd_distilbert_claims` is a English model originally trained by theresatvan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hupd_distilbert_claims_en_5.2.0_3.0_1700421836243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hupd_distilbert_claims_en_5.2.0_3.0_1700421836243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hupd_distilbert_claims|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.9 MB|
+
+## References
+
+https://huggingface.co/theresatvan/hupd-distilbert-claims
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-idpintents_key_value_en.md b/docs/_posts/ahmedlone127/2023-11-19-idpintents_key_value_en.md
new file mode 100644
index 000000000000..7c79dfc9c16f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-idpintents_key_value_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English idpintents_key_value DistilBertForSequenceClassification from Anurag0961
+author: John Snow Labs
+name: idpintents_key_value
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`idpintents_key_value` is a English model originally trained by Anurag0961.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/idpintents_key_value_en_5.2.0_3.0_1700356559647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/idpintents_key_value_en_5.2.0_3.0_1700356559647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|idpintents_key_value|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Anurag0961/idpintents-key-value
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-imdb_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-imdb_classification_en.md
new file mode 100644
index 000000000000..9e2a410b6846
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-imdb_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English imdb_classification DistilBertForSequenceClassification from abhiShek1061
+author: John Snow Labs
+name: imdb_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_classification` is a English model originally trained by abhiShek1061.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_classification_en_5.2.0_3.0_1700424422935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_classification_en_5.2.0_3.0_1700424422935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abhiShek1061/imdb-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-indobert_distilled_optimized_for_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-indobert_distilled_optimized_for_classification_en.md
new file mode 100644
index 000000000000..425c97359339
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-indobert_distilled_optimized_for_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English indobert_distilled_optimized_for_classification DistilBertForSequenceClassification from afbudiman
+author: John Snow Labs
+name: indobert_distilled_optimized_for_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_distilled_optimized_for_classification` is a English model originally trained by afbudiman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_distilled_optimized_for_classification_en_5.2.0_3.0_1700353846176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_distilled_optimized_for_classification_en_5.2.0_3.0_1700353846176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_distilled_optimized_for_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/afbudiman/indobert-distilled-optimized-for-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-intent_classification_large_en.md b/docs/_posts/ahmedlone127/2023-11-19-intent_classification_large_en.md
new file mode 100644
index 000000000000..bb0e94463d35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-intent_classification_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English intent_classification_large DistilBertForSequenceClassification from dipesh
+author: John Snow Labs
+name: intent_classification_large
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classification_large` is a English model originally trained by dipesh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classification_large_en_5.2.0_3.0_1700354138295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classification_large_en_5.2.0_3.0_1700354138295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_classification_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.3 MB|
+
+## References
+
+https://huggingface.co/dipesh/Intent-Classification-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-intent_recognition_en.md b/docs/_posts/ahmedlone127/2023-11-19-intent_recognition_en.md
new file mode 100644
index 000000000000..6bd9108774e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-intent_recognition_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English intent_recognition DistilBertForSequenceClassification from alibidaran
+author: John Snow Labs
+name: intent_recognition
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_recognition` is a English model originally trained by alibidaran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_recognition_en_5.2.0_3.0_1700415194715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_recognition_en_5.2.0_3.0_1700415194715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_recognition|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/alibidaran/intent_recognition
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-internet2_en.md b/docs/_posts/ahmedlone127/2023-11-19-internet2_en.md
new file mode 100644
index 000000000000..cec6308baec4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-internet2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English internet2 DistilBertForSequenceClassification from Majed
+author: John Snow Labs
+name: internet2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`internet2` is a English model originally trained by Majed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/internet2_en_5.2.0_3.0_1700356050654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/internet2_en_5.2.0_3.0_1700356050654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|internet2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Majed/internet2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-jq_emo_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-jq_emo_distilbert_en.md
new file mode 100644
index 000000000000..d1234d07b351
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-jq_emo_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English jq_emo_distilbert DistilBertForSequenceClassification from tingtone
+author: John Snow Labs
+name: jq_emo_distilbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jq_emo_distilbert` is a English model originally trained by tingtone.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jq_emo_distilbert_en_5.2.0_3.0_1700398216970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jq_emo_distilbert_en_5.2.0_3.0_1700398216970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jq_emo_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tingtone/jq_emo_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-jqed_qa_question_classifer_final_en.md b/docs/_posts/ahmedlone127/2023-11-19-jqed_qa_question_classifer_final_en.md
new file mode 100644
index 000000000000..5a244d8971a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-jqed_qa_question_classifer_final_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English jqed_qa_question_classifer_final DistilBertForSequenceClassification from dflcmu
+author: John Snow Labs
+name: jqed_qa_question_classifer_final
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jqed_qa_question_classifer_final` is a English model originally trained by dflcmu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jqed_qa_question_classifer_final_en_5.2.0_3.0_1700376650256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jqed_qa_question_classifer_final_en_5.2.0_3.0_1700376650256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jqed_qa_question_classifer_final|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dflcmu/JQED_QA_question_classifer_final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_en.md
new file mode 100644
index 000000000000..2db0da220c45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English keyword_category_classifier DistilBertForSequenceClassification from Nalenczewski
+author: John Snow Labs
+name: keyword_category_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`keyword_category_classifier` is a English model originally trained by Nalenczewski.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_en_5.2.0_3.0_1700352085738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_en_5.2.0_3.0_1700352085738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|keyword_category_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Nalenczewski/keyword_category_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_v2_en.md b/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_v2_en.md
new file mode 100644
index 000000000000..e99513fb942e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English keyword_category_classifier_v2 DistilBertForSequenceClassification from Nalenczewski
+author: John Snow Labs
+name: keyword_category_classifier_v2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`keyword_category_classifier_v2` is a English model originally trained by Nalenczewski.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_v2_en_5.2.0_3.0_1700378806652.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_v2_en_5.2.0_3.0_1700378806652.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|keyword_category_classifier_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Nalenczewski/keyword_category_classifier_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_v3_en.md b/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_v3_en.md
new file mode 100644
index 000000000000..a3cf74090361
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_v3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English keyword_category_classifier_v3 DistilBertForSequenceClassification from Nalenczewski
+author: John Snow Labs
+name: keyword_category_classifier_v3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`keyword_category_classifier_v3` is a English model originally trained by Nalenczewski.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_v3_en_5.2.0_3.0_1700404237975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_v3_en_5.2.0_3.0_1700404237975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|keyword_category_classifier_v3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Nalenczewski/keyword_category_classifier_v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_v7_en.md b/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_v7_en.md
new file mode 100644
index 000000000000..36bb685916a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-keyword_category_classifier_v7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English keyword_category_classifier_v7 DistilBertForSequenceClassification from Nalenczewski
+author: John Snow Labs
+name: keyword_category_classifier_v7
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`keyword_category_classifier_v7` is a English model originally trained by Nalenczewski.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_v7_en_5.2.0_3.0_1700376168594.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/keyword_category_classifier_v7_en_5.2.0_3.0_1700376168594.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|keyword_category_classifier_v7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Nalenczewski/keyword_category_classifier_v7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-korean_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-korean_classification_en.md
new file mode 100644
index 000000000000..7db031b7cd3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-korean_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English korean_classification DistilBertForSequenceClassification from devhee
+author: John Snow Labs
+name: korean_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`korean_classification` is a English model originally trained by devhee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/korean_classification_en_5.2.0_3.0_1700433407711.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/korean_classification_en_5.2.0_3.0_1700433407711.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|korean_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/devhee/ko_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-learning_sentiment_analysis_through_imdb_ds_en.md b/docs/_posts/ahmedlone127/2023-11-19-learning_sentiment_analysis_through_imdb_ds_en.md
new file mode 100644
index 000000000000..b3e74a7ce969
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-learning_sentiment_analysis_through_imdb_ds_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English learning_sentiment_analysis_through_imdb_ds DistilBertForSequenceClassification from SeNSiTivE
+author: John Snow Labs
+name: learning_sentiment_analysis_through_imdb_ds
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`learning_sentiment_analysis_through_imdb_ds` is a English model originally trained by SeNSiTivE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/learning_sentiment_analysis_through_imdb_ds_en_5.2.0_3.0_1700385552399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/learning_sentiment_analysis_through_imdb_ds_en_5.2.0_3.0_1700385552399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|learning_sentiment_analysis_through_imdb_ds|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SeNSiTivE/Learning-sentiment-analysis-through-imdb-ds
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-left_padding50_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-left_padding50_model_en.md
new file mode 100644
index 000000000000..567e7ff9862b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-left_padding50_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English left_padding50_model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: left_padding50_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`left_padding50_model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/left_padding50_model_en_5.2.0_3.0_1700356072339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/left_padding50_model_en_5.2.0_3.0_1700356072339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|left_padding50_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Realgon/left_padding50_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-light_recipes_italian_en.md b/docs/_posts/ahmedlone127/2023-11-19-light_recipes_italian_en.md
new file mode 100644
index 000000000000..147bc8076f95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-light_recipes_italian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English light_recipes_italian DistilBertForSequenceClassification from paola-md
+author: John Snow Labs
+name: light_recipes_italian
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`light_recipes_italian` is a English model originally trained by paola-md.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/light_recipes_italian_en_5.2.0_3.0_1700402679899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/light_recipes_italian_en_5.2.0_3.0_1700402679899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|light_recipes_italian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.4 MB|
+
+## References
+
+https://huggingface.co/paola-md/light-recipes-italian
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-mbti_classifier_parka735_en.md b/docs/_posts/ahmedlone127/2023-11-19-mbti_classifier_parka735_en.md
new file mode 100644
index 000000000000..5b6c5727e30c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-mbti_classifier_parka735_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mbti_classifier_parka735 DistilBertForSequenceClassification from parka735
+author: John Snow Labs
+name: mbti_classifier_parka735
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbti_classifier_parka735` is a English model originally trained by parka735.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbti_classifier_parka735_en_5.2.0_3.0_1700353387744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbti_classifier_parka735_en_5.2.0_3.0_1700353387744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbti_classifier_parka735|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/parka735/mbti-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-me_sensus_en.md b/docs/_posts/ahmedlone127/2023-11-19-me_sensus_en.md
new file mode 100644
index 000000000000..0a537b8f1cf6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-me_sensus_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English me_sensus DistilBertForSequenceClassification from afiqlol
+author: John Snow Labs
+name: me_sensus
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`me_sensus` is a English model originally trained by afiqlol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/me_sensus_en_5.2.0_3.0_1700352824309.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/me_sensus_en_5.2.0_3.0_1700352824309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|me_sensus|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/afiqlol/me_sensus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-med_qa_intent_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-med_qa_intent_classification_en.md
new file mode 100644
index 000000000000..54d39e29005e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-med_qa_intent_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English med_qa_intent_classification DistilBertForSequenceClassification from GEDISA
+author: John Snow Labs
+name: med_qa_intent_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`med_qa_intent_classification` is a English model originally trained by GEDISA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/med_qa_intent_classification_en_5.2.0_3.0_1700430374927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/med_qa_intent_classification_en_5.2.0_3.0_1700430374927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|med_qa_intent_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.5 MB|
+
+## References
+
+https://huggingface.co/GEDISA/med-qa-intent-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-media_bias_ukraine_dataset_all_en.md b/docs/_posts/ahmedlone127/2023-11-19-media_bias_ukraine_dataset_all_en.md
new file mode 100644
index 000000000000..2d87cea4f67f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-media_bias_ukraine_dataset_all_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English media_bias_ukraine_dataset_all DistilBertForSequenceClassification from franfj
+author: John Snow Labs
+name: media_bias_ukraine_dataset_all
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`media_bias_ukraine_dataset_all` is a English model originally trained by franfj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/media_bias_ukraine_dataset_all_en_5.2.0_3.0_1700396760798.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/media_bias_ukraine_dataset_all_en_5.2.0_3.0_1700396760798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|media_bias_ukraine_dataset_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/franfj/media-bias-ukraine-dataset-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-media_bias_ukraine_dataset_all_minus_ukraine_masked_en.md b/docs/_posts/ahmedlone127/2023-11-19-media_bias_ukraine_dataset_all_minus_ukraine_masked_en.md
new file mode 100644
index 000000000000..ae524951892e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-media_bias_ukraine_dataset_all_minus_ukraine_masked_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English media_bias_ukraine_dataset_all_minus_ukraine_masked DistilBertForSequenceClassification from franfj
+author: John Snow Labs
+name: media_bias_ukraine_dataset_all_minus_ukraine_masked
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`media_bias_ukraine_dataset_all_minus_ukraine_masked` is a English model originally trained by franfj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/media_bias_ukraine_dataset_all_minus_ukraine_masked_en_5.2.0_3.0_1700375730171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/media_bias_ukraine_dataset_all_minus_ukraine_masked_en_5.2.0_3.0_1700375730171.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|media_bias_ukraine_dataset_all_minus_ukraine_masked|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/franfj/media-bias-ukraine-dataset-all-minus-ukraine-masked
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-medicalappreview_en.md b/docs/_posts/ahmedlone127/2023-11-19-medicalappreview_en.md
new file mode 100644
index 000000000000..47e698fcdbb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-medicalappreview_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English medicalappreview DistilBertForSequenceClassification from KarolPaczocha
+author: John Snow Labs
+name: medicalappreview
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medicalappreview` is a English model originally trained by KarolPaczocha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medicalappreview_en_5.2.0_3.0_1700380573577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medicalappreview_en_5.2.0_3.0_1700380573577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medicalappreview|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KarolPaczocha/medicalappreview
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-medium_article_titles_engagement_en.md b/docs/_posts/ahmedlone127/2023-11-19-medium_article_titles_engagement_en.md
new file mode 100644
index 000000000000..ce15085059b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-medium_article_titles_engagement_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English medium_article_titles_engagement DistilBertForSequenceClassification from dima806
+author: John Snow Labs
+name: medium_article_titles_engagement
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medium_article_titles_engagement` is a English model originally trained by dima806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medium_article_titles_engagement_en_5.2.0_3.0_1700354410812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medium_article_titles_engagement_en_5.2.0_3.0_1700354410812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medium_article_titles_engagement|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/dima806/medium-article-titles-engagement
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-movie_genre_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-movie_genre_classification_en.md
new file mode 100644
index 000000000000..87c15816c7bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-movie_genre_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English movie_genre_classification DistilBertForSequenceClassification from santis2
+author: John Snow Labs
+name: movie_genre_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_genre_classification` is a English model originally trained by santis2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_genre_classification_en_5.2.0_3.0_1700386725423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_genre_classification_en_5.2.0_3.0_1700386725423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_genre_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/santis2/movie-genre-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-movie_review_sentiment_classifier_with_bert_en.md b/docs/_posts/ahmedlone127/2023-11-19-movie_review_sentiment_classifier_with_bert_en.md
new file mode 100644
index 000000000000..66ed966ea7f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-movie_review_sentiment_classifier_with_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English movie_review_sentiment_classifier_with_bert DistilBertForSequenceClassification from wesleyacheng
+author: John Snow Labs
+name: movie_review_sentiment_classifier_with_bert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_review_sentiment_classifier_with_bert` is a English model originally trained by wesleyacheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_review_sentiment_classifier_with_bert_en_5.2.0_3.0_1700381604157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_review_sentiment_classifier_with_bert_en_5.2.0_3.0_1700381604157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_review_sentiment_classifier_with_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wesleyacheng/movie-review-sentiment-classifier-with-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-moviesreview5classroberta_en.md b/docs/_posts/ahmedlone127/2023-11-19-moviesreview5classroberta_en.md
new file mode 100644
index 000000000000..ebf8906e603b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-moviesreview5classroberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English moviesreview5classroberta DistilBertForSequenceClassification from AhmedTaha012
+author: John Snow Labs
+name: moviesreview5classroberta
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`moviesreview5classroberta` is a English model originally trained by AhmedTaha012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/moviesreview5classroberta_en_5.2.0_3.0_1700399475866.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/moviesreview5classroberta_en_5.2.0_3.0_1700399475866.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|moviesreview5classroberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AhmedTaha012/moviesReview5classRoberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-mulan_methyl_distilbert_5hmc_en.md b/docs/_posts/ahmedlone127/2023-11-19-mulan_methyl_distilbert_5hmc_en.md
new file mode 100644
index 000000000000..db5265de4e04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-mulan_methyl_distilbert_5hmc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mulan_methyl_distilbert_5hmc DistilBertForSequenceClassification from wenhuan
+author: John Snow Labs
+name: mulan_methyl_distilbert_5hmc
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mulan_methyl_distilbert_5hmc` is a English model originally trained by wenhuan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mulan_methyl_distilbert_5hmc_en_5.2.0_3.0_1700391446991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mulan_methyl_distilbert_5hmc_en_5.2.0_3.0_1700391446991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mulan_methyl_distilbert_5hmc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|235.3 MB|
+
+## References
+
+https://huggingface.co/wenhuan/MuLan-Methyl-DistilBERT_5hmC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-naadedei_finetuned_distilbert_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-naadedei_finetuned_distilbert_model_en.md
new file mode 100644
index 000000000000..6c71ba472286
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-naadedei_finetuned_distilbert_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English naadedei_finetuned_distilbert_model DistilBertForSequenceClassification from reginandcrabbe
+author: John Snow Labs
+name: naadedei_finetuned_distilbert_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`naadedei_finetuned_distilbert_model` is a English model originally trained by reginandcrabbe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/naadedei_finetuned_distilbert_model_en_5.2.0_3.0_1700352444189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/naadedei_finetuned_distilbert_model_en_5.2.0_3.0_1700352444189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|naadedei_finetuned_distilbert_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/reginandcrabbe/naadedei-Finetuned-distilbert-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-natural_language_inference_not_evaluated_en.md b/docs/_posts/ahmedlone127/2023-11-19-natural_language_inference_not_evaluated_en.md
new file mode 100644
index 000000000000..ba3eacf23be1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-natural_language_inference_not_evaluated_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English natural_language_inference_not_evaluated DistilBertForSequenceClassification from autoevaluate
+author: John Snow Labs
+name: natural_language_inference_not_evaluated
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`natural_language_inference_not_evaluated` is a English model originally trained by autoevaluate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/natural_language_inference_not_evaluated_en_5.2.0_3.0_1700360305049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/natural_language_inference_not_evaluated_en_5.2.0_3.0_1700360305049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|natural_language_inference_not_evaluated|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/autoevaluate/natural-language-inference-not-evaluated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-nepal_bhasa_doc_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-nepal_bhasa_doc_classifier_en.md
new file mode 100644
index 000000000000..cbf77e0b8da5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-nepal_bhasa_doc_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nepal_bhasa_doc_classifier DistilBertForSequenceClassification from debjyoti007
+author: John Snow Labs
+name: nepal_bhasa_doc_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepal_bhasa_doc_classifier` is a English model originally trained by debjyoti007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_doc_classifier_en_5.2.0_3.0_1700368641980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_doc_classifier_en_5.2.0_3.0_1700368641980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepal_bhasa_doc_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/debjyoti007/new_doc_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-nepali_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-nepali_distilbert_en.md
new file mode 100644
index 000000000000..32c673565f5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-nepali_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nepali_distilbert DistilBertForSequenceClassification from dexhrestha
+author: John Snow Labs
+name: nepali_distilbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepali_distilbert` is a English model originally trained by dexhrestha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepali_distilbert_en_5.2.0_3.0_1700400153724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepali_distilbert_en_5.2.0_3.0_1700400153724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepali_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.2 MB|
+
+## References
+
+https://huggingface.co/dexhrestha/Nepali-DistilBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-netflix_rating_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-netflix_rating_classifier_en.md
new file mode 100644
index 000000000000..78fb4477d582
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-netflix_rating_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English netflix_rating_classifier DistilBertForSequenceClassification from austinphamm
+author: John Snow Labs
+name: netflix_rating_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`netflix_rating_classifier` is a English model originally trained by austinphamm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/netflix_rating_classifier_en_5.2.0_3.0_1700424950040.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/netflix_rating_classifier_en_5.2.0_3.0_1700424950040.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|netflix_rating_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/austinphamm/netflix_rating_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-news_classification_johnhwang_en.md b/docs/_posts/ahmedlone127/2023-11-19-news_classification_johnhwang_en.md
new file mode 100644
index 000000000000..f5052f467575
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-news_classification_johnhwang_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English news_classification_johnhwang DistilBertForSequenceClassification from JohnHwang
+author: John Snow Labs
+name: news_classification_johnhwang
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_classification_johnhwang` is a English model originally trained by JohnHwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_classification_johnhwang_en_5.2.0_3.0_1700356233927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_classification_johnhwang_en_5.2.0_3.0_1700356233927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_classification_johnhwang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JohnHwang/news_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-news_sentiment_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-news_sentiment_distilbert_en.md
new file mode 100644
index 000000000000..164862840d1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-news_sentiment_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English news_sentiment_distilbert DistilBertForSequenceClassification from harvinder676
+author: John Snow Labs
+name: news_sentiment_distilbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_sentiment_distilbert` is a English model originally trained by harvinder676.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_sentiment_distilbert_en_5.2.0_3.0_1700352094482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_sentiment_distilbert_en_5.2.0_3.0_1700352094482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_sentiment_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/harvinder676/news_sentiment_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-nice_distilbert_v2_en.md b/docs/_posts/ahmedlone127/2023-11-19-nice_distilbert_v2_en.md
new file mode 100644
index 000000000000..903468f58402
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-nice_distilbert_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nice_distilbert_v2 DistilBertForSequenceClassification from chisadi
+author: John Snow Labs
+name: nice_distilbert_v2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nice_distilbert_v2` is a English model originally trained by chisadi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nice_distilbert_v2_en_5.2.0_3.0_1700432357301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nice_distilbert_v2_en_5.2.0_3.0_1700432357301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nice_distilbert_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/chisadi/nice-distilbert-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-nima_test_bert_glue_en.md b/docs/_posts/ahmedlone127/2023-11-19-nima_test_bert_glue_en.md
new file mode 100644
index 000000000000..14c4ac002910
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-nima_test_bert_glue_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nima_test_bert_glue DistilBertForSequenceClassification from Sphere-Fall2022
+author: John Snow Labs
+name: nima_test_bert_glue
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nima_test_bert_glue` is a English model originally trained by Sphere-Fall2022.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nima_test_bert_glue_en_5.2.0_3.0_1700396382725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nima_test_bert_glue_en_5.2.0_3.0_1700396382725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nima_test_bert_glue|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Sphere-Fall2022/nima-test-bert-glue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-nlp_deep_2_en.md b/docs/_posts/ahmedlone127/2023-11-19-nlp_deep_2_en.md
new file mode 100644
index 000000000000..6344903d9f57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-nlp_deep_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_deep_2 DistilBertForSequenceClassification from Bictole
+author: John Snow Labs
+name: nlp_deep_2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_deep_2` is a English model originally trained by Bictole.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_deep_2_en_5.2.0_3.0_1700407348577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_deep_2_en_5.2.0_3.0_1700407348577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_deep_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Bictole/NLP_DEEP_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-nlp_for_transformer_book_distilbert_base_uncased_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-19-nlp_for_transformer_book_distilbert_base_uncased_finetuned_emotion_en.md
new file mode 100644
index 000000000000..aa72ff8cbdce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-nlp_for_transformer_book_distilbert_base_uncased_finetuned_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_for_transformer_book_distilbert_base_uncased_finetuned_emotion DistilBertForSequenceClassification from ChaoLi
+author: John Snow Labs
+name: nlp_for_transformer_book_distilbert_base_uncased_finetuned_emotion
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_for_transformer_book_distilbert_base_uncased_finetuned_emotion` is a English model originally trained by ChaoLi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_for_transformer_book_distilbert_base_uncased_finetuned_emotion_en_5.2.0_3.0_1700377731095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_for_transformer_book_distilbert_base_uncased_finetuned_emotion_en_5.2.0_3.0_1700377731095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_for_transformer_book_distilbert_base_uncased_finetuned_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ChaoLi/nlp_for_transformer_book_distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-nlp_sentimental_analysis_using_distilbert_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-nlp_sentimental_analysis_using_distilbert_model_en.md
new file mode 100644
index 000000000000..b40e8dd6ccf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-nlp_sentimental_analysis_using_distilbert_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_sentimental_analysis_using_distilbert_model DistilBertForSequenceClassification from Achar
+author: John Snow Labs
+name: nlp_sentimental_analysis_using_distilbert_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_sentimental_analysis_using_distilbert_model` is a English model originally trained by Achar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_sentimental_analysis_using_distilbert_model_en_5.2.0_3.0_1700389670112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_sentimental_analysis_using_distilbert_model_en_5.2.0_3.0_1700389670112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_sentimental_analysis_using_distilbert_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Achar/NLP-Sentimental-Analysis-using-DistilBERT-ModeL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-office_character_en.md b/docs/_posts/ahmedlone127/2023-11-19-office_character_en.md
new file mode 100644
index 000000000000..86c5f6365654
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-office_character_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English office_character DistilBertForSequenceClassification from kearney
+author: John Snow Labs
+name: office_character
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`office_character` is a English model originally trained by kearney.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/office_character_en_5.2.0_3.0_1700423845795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/office_character_en_5.2.0_3.0_1700423845795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|office_character|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kearney/office-character
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-playground_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-playground_sentiment_model_en.md
new file mode 100644
index 000000000000..90209e6d4492
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-playground_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English playground_sentiment_model DistilBertForSequenceClassification from GIanlucaRub
+author: John Snow Labs
+name: playground_sentiment_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`playground_sentiment_model` is a English model originally trained by GIanlucaRub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/playground_sentiment_model_en_5.2.0_3.0_1700427603803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/playground_sentiment_model_en_5.2.0_3.0_1700427603803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|postcard_multilabel_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|39.2 MB|
+
+## References
+
+https://huggingface.co/pa-shk/postcard_multilabel_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-pre_requisite_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-pre_requisite_model_en.md
new file mode 100644
index 000000000000..90c4e285002c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-pre_requisite_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pre_requisite_model DistilBertForSequenceClassification from satyamverma
+author: John Snow Labs
+name: pre_requisite_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pre_requisite_model` is a English model originally trained by satyamverma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pre_requisite_model_en_5.2.0_3.0_1700420089307.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pre_requisite_model_en_5.2.0_3.0_1700420089307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pre_requisite_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/satyamverma/Pre-requisite_Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-predict_perception_bertino_focus_object_en.md b/docs/_posts/ahmedlone127/2023-11-19-predict_perception_bertino_focus_object_en.md
new file mode 100644
index 000000000000..509a1b956ea4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-predict_perception_bertino_focus_object_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English predict_perception_bertino_focus_object DistilBertForSequenceClassification from gossminn
+author: John Snow Labs
+name: predict_perception_bertino_focus_object
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`predict_perception_bertino_focus_object` is a English model originally trained by gossminn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/predict_perception_bertino_focus_object_en_5.2.0_3.0_1700420590546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/predict_perception_bertino_focus_object_en_5.2.0_3.0_1700420590546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|predict_perception_bertino_focus_object|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|255.2 MB|
+
+## References
+
+https://huggingface.co/gossminn/predict-perception-bertino-focus-object
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-predict_perception_bertino_focus_victim_en.md b/docs/_posts/ahmedlone127/2023-11-19-predict_perception_bertino_focus_victim_en.md
new file mode 100644
index 000000000000..7ac399bded85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-predict_perception_bertino_focus_victim_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English predict_perception_bertino_focus_victim DistilBertForSequenceClassification from gossminn
+author: John Snow Labs
+name: predict_perception_bertino_focus_victim
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`predict_perception_bertino_focus_victim` is a English model originally trained by gossminn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/predict_perception_bertino_focus_victim_en_5.2.0_3.0_1700373320417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/predict_perception_bertino_focus_victim_en_5.2.0_3.0_1700373320417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|predict_perception_bertino_focus_victim|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|255.2 MB|
+
+## References
+
+https://huggingface.co/gossminn/predict-perception-bertino-focus-victim
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-presentation_emotion_1234567_en.md b/docs/_posts/ahmedlone127/2023-11-19-presentation_emotion_1234567_en.md
new file mode 100644
index 000000000000..38a5cc6a06a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-presentation_emotion_1234567_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English presentation_emotion_1234567 DistilBertForSequenceClassification from aXhyra
+author: John Snow Labs
+name: presentation_emotion_1234567
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`presentation_emotion_1234567` is a English model originally trained by aXhyra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/presentation_emotion_1234567_en_5.2.0_3.0_1700432237116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/presentation_emotion_1234567_en_5.2.0_3.0_1700432237116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|presentation_emotion_1234567|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aXhyra/presentation_emotion_1234567
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-presentation_irony_1234567_en.md b/docs/_posts/ahmedlone127/2023-11-19-presentation_irony_1234567_en.md
new file mode 100644
index 000000000000..75a90e7f9af4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-presentation_irony_1234567_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English presentation_irony_1234567 DistilBertForSequenceClassification from aXhyra
+author: John Snow Labs
+name: presentation_irony_1234567
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`presentation_irony_1234567` is a English model originally trained by aXhyra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/presentation_irony_1234567_en_5.2.0_3.0_1700388761739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/presentation_irony_1234567_en_5.2.0_3.0_1700388761739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|presentation_irony_1234567|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/aXhyra/presentation_irony_1234567
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-psychiq_en.md b/docs/_posts/ahmedlone127/2023-11-19-psychiq_en.md
new file mode 100644
index 000000000000..a33947841d0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-psychiq_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English psychiq DistilBertForSequenceClassification from derenrich
+author: John Snow Labs
+name: psychiq
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`psychiq` is a English model originally trained by derenrich.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/psychiq_en_5.2.0_3.0_1700406290876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/psychiq_en_5.2.0_3.0_1700406290876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|psychiq|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.3 MB|
+
+## References
+
+https://huggingface.co/derenrich/psychiq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-qd_dialog_distilbert_base_turkish_en.md b/docs/_posts/ahmedlone127/2023-11-19-qd_dialog_distilbert_base_turkish_en.md
new file mode 100644
index 000000000000..05280da25ee6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-qd_dialog_distilbert_base_turkish_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English qd_dialog_distilbert_base_turkish DistilBertForSequenceClassification from Izzet
+author: John Snow Labs
+name: qd_dialog_distilbert_base_turkish
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qd_dialog_distilbert_base_turkish` is a English model originally trained by Izzet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qd_dialog_distilbert_base_turkish_en_5.2.0_3.0_1700388755959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qd_dialog_distilbert_base_turkish_en_5.2.0_3.0_1700388755959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qd_dialog_distilbert_base_turkish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|254.0 MB|
+
+## References
+
+https://huggingface.co/Izzet/qd_dialog_distilbert-base-turkish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-question_classifier_v2_en.md b/docs/_posts/ahmedlone127/2023-11-19-question_classifier_v2_en.md
new file mode 100644
index 000000000000..f8d47c579e15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-question_classifier_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English question_classifier_v2 DistilBertForSequenceClassification from alangpp255
+author: John Snow Labs
+name: question_classifier_v2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`question_classifier_v2` is a English model originally trained by alangpp255.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_classifier_v2_en_5.2.0_3.0_1700373291992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_classifier_v2_en_5.2.0_3.0_1700373291992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_classifier_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/alangpp255/Question_classifier_V2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-racial_bias_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-racial_bias_classification_en.md
new file mode 100644
index 000000000000..7744ad94c4fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-racial_bias_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English racial_bias_classification DistilBertForSequenceClassification from BogdanTurbal
+author: John Snow Labs
+name: racial_bias_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`racial_bias_classification` is a English model originally trained by BogdanTurbal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/racial_bias_classification_en_5.2.0_3.0_1700414222997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/racial_bias_classification_en_5.2.0_3.0_1700414222997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|racial_bias_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BogdanTurbal/racial_bias_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-redbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-redbert_en.md
new file mode 100644
index 000000000000..16bc92d0ed38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-redbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English redbert DistilBertForSequenceClassification from traberph
+author: John Snow Labs
+name: redbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`redbert` is a English model originally trained by traberph.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/redbert_en_5.2.0_3.0_1700364696135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/redbert_en_5.2.0_3.0_1700364696135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|redbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|330.0 MB|
+
+## References
+
+https://huggingface.co/traberph/RedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-reddit_comment_sentiment_final_en.md b/docs/_posts/ahmedlone127/2023-11-19-reddit_comment_sentiment_final_en.md
new file mode 100644
index 000000000000..ffd0c1c64367
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-reddit_comment_sentiment_final_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English reddit_comment_sentiment_final DistilBertForSequenceClassification from AG6019
+author: John Snow Labs
+name: reddit_comment_sentiment_final
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reddit_comment_sentiment_final` is a English model originally trained by AG6019.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reddit_comment_sentiment_final_en_5.2.0_3.0_1700385771192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reddit_comment_sentiment_final_en_5.2.0_3.0_1700385771192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reddit_comment_sentiment_final|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/AG6019/reddit-comment-sentiment-final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-religion_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-religion_classification_en.md
new file mode 100644
index 000000000000..98305442cfb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-religion_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English religion_classification DistilBertForSequenceClassification from padmajabfrl
+author: John Snow Labs
+name: religion_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`religion_classification` is a English model originally trained by padmajabfrl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/religion_classification_en_5.2.0_3.0_1700386844039.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/religion_classification_en_5.2.0_3.0_1700386844039.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|religion_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/padmajabfrl/Religion-Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-resumeclassification_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-resumeclassification_distilbert_en.md
new file mode 100644
index 000000000000..de584649ab0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-resumeclassification_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English resumeclassification_distilbert DistilBertForSequenceClassification from runaksh
+author: John Snow Labs
+name: resumeclassification_distilbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`resumeclassification_distilbert` is a English model originally trained by runaksh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/resumeclassification_distilbert_en_5.2.0_3.0_1700373069332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/resumeclassification_distilbert_en_5.2.0_3.0_1700373069332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|resumeclassification_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/runaksh/ResumeClassification_distilBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-rightpartisan_en.md b/docs/_posts/ahmedlone127/2023-11-19-rightpartisan_en.md
new file mode 100644
index 000000000000..687cd9d7fc67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-rightpartisan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rightpartisan DistilBertForSequenceClassification from spencerh
+author: John Snow Labs
+name: rightpartisan
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rightpartisan` is a English model originally trained by spencerh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rightpartisan_en_5.2.0_3.0_1700357017446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rightpartisan_en_5.2.0_3.0_1700357017446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rightpartisan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/spencerh/rightpartisan
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-sentance_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-19-sentance_analysis_en.md
new file mode 100644
index 000000000000..235c899103f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-sentance_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentance_analysis DistilBertForSequenceClassification from sentientconch
+author: John Snow Labs
+name: sentance_analysis
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentance_analysis` is a English model originally trained by sentientconch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentance_analysis_en_5.2.0_3.0_1700357906631.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentance_analysis_en_5.2.0_3.0_1700357906631.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentance_analysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sentientconch/sentance_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-sentence_transformers_msmarco_distilbert_base_tas_b_twitter_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-19-sentence_transformers_msmarco_distilbert_base_tas_b_twitter_sentiment_en.md
new file mode 100644
index 000000000000..7cccd07df863
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-sentence_transformers_msmarco_distilbert_base_tas_b_twitter_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentence_transformers_msmarco_distilbert_base_tas_b_twitter_sentiment DistilBertForSequenceClassification from Theivaprakasham
+author: John Snow Labs
+name: sentence_transformers_msmarco_distilbert_base_tas_b_twitter_sentiment
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_transformers_msmarco_distilbert_base_tas_b_twitter_sentiment` is a English model originally trained by Theivaprakasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_transformers_msmarco_distilbert_base_tas_b_twitter_sentiment_en_5.2.0_3.0_1700352768480.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_transformers_msmarco_distilbert_base_tas_b_twitter_sentiment_en_5.2.0_3.0_1700352768480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentence_transformers_msmarco_distilbert_base_tas_b_twitter_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Theivaprakasham/sentence-transformers-msmarco-distilbert-base-tas-b-twitter_sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-sentiment_analysis_on_covid_tweets_edusei_en.md b/docs/_posts/ahmedlone127/2023-11-19-sentiment_analysis_on_covid_tweets_edusei_en.md
new file mode 100644
index 000000000000..bb0b6ab4db9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-sentiment_analysis_on_covid_tweets_edusei_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_on_covid_tweets_edusei DistilBertForSequenceClassification from edusei
+author: John Snow Labs
+name: sentiment_analysis_on_covid_tweets_edusei
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_on_covid_tweets_edusei` is a English model originally trained by edusei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_on_covid_tweets_edusei_en_5.2.0_3.0_1700391533914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_on_covid_tweets_edusei_en_5.2.0_3.0_1700391533914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_on_covid_tweets_edusei|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/edusei/sentiment_analysis_on_covid_tweets
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-sentiment_model_imdb_small_demo_en.md b/docs/_posts/ahmedlone127/2023-11-19-sentiment_model_imdb_small_demo_en.md
new file mode 100644
index 000000000000..70a4fd5fdea3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-sentiment_model_imdb_small_demo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_model_imdb_small_demo DistilBertForSequenceClassification from sachinshinde
+author: John Snow Labs
+name: sentiment_model_imdb_small_demo
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_imdb_small_demo` is a English model originally trained by sachinshinde.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_imdb_small_demo_en_5.2.0_3.0_1700402899210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_imdb_small_demo_en_5.2.0_3.0_1700402899210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_model_imdb_small_demo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/sachinshinde/sentiment-model-imdb-small-demo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-sentiment_model_on_imdb_dataset_tirendaz_en.md b/docs/_posts/ahmedlone127/2023-11-19-sentiment_model_on_imdb_dataset_tirendaz_en.md
new file mode 100644
index 000000000000..2ab52c3dac9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-sentiment_model_on_imdb_dataset_tirendaz_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_model_on_imdb_dataset_tirendaz DistilBertForSequenceClassification from Tirendaz
+author: John Snow Labs
+name: sentiment_model_on_imdb_dataset_tirendaz
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_on_imdb_dataset_tirendaz` is a English model originally trained by Tirendaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_on_imdb_dataset_tirendaz_en_5.2.0_3.0_1700405695050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_on_imdb_dataset_tirendaz_en_5.2.0_3.0_1700405695050.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_model_on_imdb_dataset_tirendaz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Tirendaz/sentiment-model-on-imdb-dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-sentiments_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-sentiments_classifier_en.md
new file mode 100644
index 000000000000..48a1b83c333d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-sentiments_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiments_classifier DistilBertForSequenceClassification from neuroapps
+author: John Snow Labs
+name: sentiments_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiments_classifier` is a English model originally trained by neuroapps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiments_classifier_en_5.2.0_3.0_1700419615259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiments_classifier_en_5.2.0_3.0_1700419615259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiments_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/neuroapps/sentiments_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-simpsons_character_discriminator_en.md b/docs/_posts/ahmedlone127/2023-11-19-simpsons_character_discriminator_en.md
new file mode 100644
index 000000000000..f434ef5b9a32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-simpsons_character_discriminator_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English simpsons_character_discriminator DistilBertForSequenceClassification from Rbanerjee
+author: John Snow Labs
+name: simpsons_character_discriminator
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`simpsons_character_discriminator` is a English model originally trained by Rbanerjee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/simpsons_character_discriminator_en_5.2.0_3.0_1700362786251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/simpsons_character_discriminator_en_5.2.0_3.0_1700362786251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|simpsons_character_discriminator|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/Rbanerjee/simpsons-character-discriminator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-sincere_question_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-sincere_question_classification_en.md
new file mode 100644
index 000000000000..c5199c2b2239
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-sincere_question_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sincere_question_classification DistilBertForSequenceClassification from amyma21
+author: John Snow Labs
+name: sincere_question_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sincere_question_classification` is a English model originally trained by amyma21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sincere_question_classification_en_5.2.0_3.0_1700373069355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sincere_question_classification_en_5.2.0_3.0_1700373069355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sincere_question_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/amyma21/sincere_question_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-small_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-small_sentiment_model_en.md
new file mode 100644
index 000000000000..92faf5e5d91a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-small_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English small_sentiment_model DistilBertForSequenceClassification from AlexAnge
+author: John Snow Labs
+name: small_sentiment_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`small_sentiment_model` is a English model originally trained by AlexAnge.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_sentiment_model_en_5.2.0_3.0_1700353701204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_sentiment_model_en_5.2.0_3.0_1700353701204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_sentiment_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/AlexAnge/small-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-smalldata_distilbert_base_uncasede_eng_only_sentiment_single_finetuned_memes_en.md b/docs/_posts/ahmedlone127/2023-11-19-smalldata_distilbert_base_uncasede_eng_only_sentiment_single_finetuned_memes_en.md
new file mode 100644
index 000000000000..e48c489c3f2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-smalldata_distilbert_base_uncasede_eng_only_sentiment_single_finetuned_memes_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English smalldata_distilbert_base_uncasede_eng_only_sentiment_single_finetuned_memes DistilBertForSequenceClassification from jayantapaul888
+author: John Snow Labs
+name: smalldata_distilbert_base_uncasede_eng_only_sentiment_single_finetuned_memes
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`smalldata_distilbert_base_uncasede_eng_only_sentiment_single_finetuned_memes` is a English model originally trained by jayantapaul888.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/smalldata_distilbert_base_uncasede_eng_only_sentiment_single_finetuned_memes_en_5.2.0_3.0_1700356409891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/smalldata_distilbert_base_uncasede_eng_only_sentiment_single_finetuned_memes_en_5.2.0_3.0_1700356409891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|smalldata_distilbert_base_uncasede_eng_only_sentiment_single_finetuned_memes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jayantapaul888/smalldata-distilbert-base-uncasede-eng-only-sentiment-single-finetuned-memes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-smart_home_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-smart_home_model_en.md
new file mode 100644
index 000000000000..90957a5c1427
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-smart_home_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English smart_home_model DistilBertForSequenceClassification from FDuCHeS
+author: John Snow Labs
+name: smart_home_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`smart_home_model` is a English model originally trained by FDuCHeS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/smart_home_model_en_5.2.0_3.0_1700416279961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/smart_home_model_en_5.2.0_3.0_1700416279961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|smart_home_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/FDuCHeS/smart_home_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-sms_spam_detection_manning_en.md b/docs/_posts/ahmedlone127/2023-11-19-sms_spam_detection_manning_en.md
new file mode 100644
index 000000000000..7697b93311e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-sms_spam_detection_manning_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sms_spam_detection_manning DistilBertForSequenceClassification from satish860
+author: John Snow Labs
+name: sms_spam_detection_manning
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sms_spam_detection_manning` is a English model originally trained by satish860.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sms_spam_detection_manning_en_5.2.0_3.0_1700434449176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sms_spam_detection_manning_en_5.2.0_3.0_1700434449176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sms_spam_detection_manning|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/satish860/sms_spam_detection-manning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-smsa_distilbert_indo_id.md b/docs/_posts/ahmedlone127/2023-11-19-smsa_distilbert_indo_id.md
new file mode 100644
index 000000000000..e3004e078391
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-smsa_distilbert_indo_id.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Indonesian smsa_distilbert_indo DistilBertForSequenceClassification from karuniaperjuangan
+author: John Snow Labs
+name: smsa_distilbert_indo
+date: 2023-11-19
+tags: [bert, id, open_source, sequence_classification, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`smsa_distilbert_indo` is a Indonesian model originally trained by karuniaperjuangan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/smsa_distilbert_indo_id_5.2.0_3.0_1700394415851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/smsa_distilbert_indo_id_5.2.0_3.0_1700394415851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|smsa_distilbert_indo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/karuniaperjuangan/smsa-distilbert-indo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-spam_ham_classifier_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-spam_ham_classifier_distilbert_en.md
new file mode 100644
index 000000000000..3084edb966c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-spam_ham_classifier_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English spam_ham_classifier_distilbert DistilBertForSequenceClassification from martin-bendik
+author: John Snow Labs
+name: spam_ham_classifier_distilbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spam_ham_classifier_distilbert` is a English model originally trained by martin-bendik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spam_ham_classifier_distilbert_en_5.2.0_3.0_1700433407966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spam_ham_classifier_distilbert_en_5.2.0_3.0_1700433407966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spam_ham_classifier_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/martin-bendik/spam_ham_classifier_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-startupclassifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-startupclassifier_en.md
new file mode 100644
index 000000000000..af7131c16bd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-startupclassifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English startupclassifier DistilBertForSequenceClassification from erikacardenas300
+author: John Snow Labs
+name: startupclassifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`startupclassifier` is a English model originally trained by erikacardenas300.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/startupclassifier_en_5.2.0_3.0_1700407140000.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/startupclassifier_en_5.2.0_3.0_1700407140000.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|startupclassifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/erikacardenas300/StartupClassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-stockpredictor_en.md b/docs/_posts/ahmedlone127/2023-11-19-stockpredictor_en.md
new file mode 100644
index 000000000000..2b39f8ea014d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-stockpredictor_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English stockpredictor DistilBertForSequenceClassification from icyGS
+author: John Snow Labs
+name: stockpredictor
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stockpredictor` is a English model originally trained by icyGS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stockpredictor_en_5.2.0_3.0_1700382773743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stockpredictor_en_5.2.0_3.0_1700382773743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stockpredictor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/icyGS/StockPredictor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-symptom_2_disease_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-symptom_2_disease_distilbert_en.md
new file mode 100644
index 000000000000..28e6181f844e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-symptom_2_disease_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English symptom_2_disease_distilbert DistilBertForSequenceClassification from runaksh
+author: John Snow Labs
+name: symptom_2_disease_distilbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`symptom_2_disease_distilbert` is a English model originally trained by runaksh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/symptom_2_disease_distilbert_en_5.2.0_3.0_1700352698501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/symptom_2_disease_distilbert_en_5.2.0_3.0_1700352698501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|symptom_2_disease_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/runaksh/Symptom-2-disease_distilBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-tahniat_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-19-tahniat_classifier_en.md
new file mode 100644
index 000000000000..07282689fea6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-tahniat_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tahniat_classifier DistilBertForSequenceClassification from Social-Media-Fairness
+author: John Snow Labs
+name: tahniat_classifier
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tahniat_classifier` is a English model originally trained by Social-Media-Fairness.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tahniat_classifier_en_5.2.0_3.0_1700394118650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tahniat_classifier_en_5.2.0_3.0_1700394118650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|telugu_movie_review_sentiment_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|te|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Sanath369/Telugu_movie_review_sentiment_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-test_model_lliriknat_en.md b/docs/_posts/ahmedlone127/2023-11-19-test_model_lliriknat_en.md
new file mode 100644
index 000000000000..47864fb2b7c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-test_model_lliriknat_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English test_model_lliriknat DistilBertForSequenceClassification from LliriKnat
+author: John Snow Labs
+name: test_model_lliriknat
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_model_lliriknat` is a English model originally trained by LliriKnat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_lliriknat_en_5.2.0_3.0_1700355935599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_lliriknat_en_5.2.0_3.0_1700355935599.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model_lliriknat|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LliriKnat/test_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-text_classification_model_1_pytorch_en.md b/docs/_posts/ahmedlone127/2023-11-19-text_classification_model_1_pytorch_en.md
new file mode 100644
index 000000000000..be1e23cc5b03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-text_classification_model_1_pytorch_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English text_classification_model_1_pytorch DistilBertForSequenceClassification from Hansaht
+author: John Snow Labs
+name: text_classification_model_1_pytorch
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_model_1_pytorch` is a English model originally trained by Hansaht.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_model_1_pytorch_en_5.2.0_3.0_1700366668907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_model_1_pytorch_en_5.2.0_3.0_1700366668907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_model_1_pytorch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Hansaht/Text_classification_model_1_pytorch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-text_classification_rayschwartz_en.md b/docs/_posts/ahmedlone127/2023-11-19-text_classification_rayschwartz_en.md
new file mode 100644
index 000000000000..40f71e91422b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-text_classification_rayschwartz_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English text_classification_rayschwartz DistilBertForSequenceClassification from rayschwartz
+author: John Snow Labs
+name: text_classification_rayschwartz
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_rayschwartz` is a English model originally trained by rayschwartz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_rayschwartz_en_5.2.0_3.0_1700356564287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_rayschwartz_en_5.2.0_3.0_1700356564287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_rayschwartz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rayschwartz/text-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-text_emotion_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-text_emotion_classification_en.md
new file mode 100644
index 000000000000..036c2861ea27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-text_emotion_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English text_emotion_classification DistilBertForSequenceClassification from PrachiPatel
+author: John Snow Labs
+name: text_emotion_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_emotion_classification` is a English model originally trained by PrachiPatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_emotion_classification_en_5.2.0_3.0_1700415343101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_emotion_classification_en_5.2.0_3.0_1700415343101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_emotion_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/PrachiPatel/text_emotion_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-tfs_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-tfs_distilbert_en.md
new file mode 100644
index 000000000000..5a5cb78ca358
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-tfs_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tfs_distilbert DistilBertForSequenceClassification from chanret
+author: John Snow Labs
+name: tfs_distilbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tfs_distilbert` is a English model originally trained by chanret.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tfs_distilbert_en_5.2.0_3.0_1700352279762.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tfs_distilbert_en_5.2.0_3.0_1700352279762.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tfs_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/chanret/tfs_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-theoffice_speaker_classification_en.md b/docs/_posts/ahmedlone127/2023-11-19-theoffice_speaker_classification_en.md
new file mode 100644
index 000000000000..37340a876251
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-theoffice_speaker_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English theoffice_speaker_classification DistilBertForSequenceClassification from mo374z
+author: John Snow Labs
+name: theoffice_speaker_classification
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`theoffice_speaker_classification` is a English model originally trained by mo374z.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/theoffice_speaker_classification_en_5.2.0_3.0_1700364805390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/theoffice_speaker_classification_en_5.2.0_3.0_1700364805390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|theoffice_speaker_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mo374z/theoffice_speaker_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-todos_task_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-todos_task_model_en.md
new file mode 100644
index 000000000000..d7f2f18750fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-todos_task_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English todos_task_model DistilBertForSequenceClassification from vagrawal787
+author: John Snow Labs
+name: todos_task_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`todos_task_model` is a English model originally trained by vagrawal787.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/todos_task_model_en_5.2.0_3.0_1700425460303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/todos_task_model_en_5.2.0_3.0_1700425460303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|todos_task_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vagrawal787/todos_task_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-trainer_chapter3_en.md b/docs/_posts/ahmedlone127/2023-11-19-trainer_chapter3_en.md
new file mode 100644
index 000000000000..f92cac505c32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-trainer_chapter3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English trainer_chapter3 DistilBertForSequenceClassification from osanseviero
+author: John Snow Labs
+name: trainer_chapter3
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer_chapter3` is a English model originally trained by osanseviero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer_chapter3_en_5.2.0_3.0_1700354000136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer_chapter3_en_5.2.0_3.0_1700354000136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer_chapter3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/osanseviero/trainer-chapter3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-trainer_chapter4_en.md b/docs/_posts/ahmedlone127/2023-11-19-trainer_chapter4_en.md
new file mode 100644
index 000000000000..6739eb79b486
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-trainer_chapter4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English trainer_chapter4 DistilBertForSequenceClassification from osanseviero
+author: John Snow Labs
+name: trainer_chapter4
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer_chapter4` is a English model originally trained by osanseviero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer_chapter4_en_5.2.0_3.0_1700360576966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer_chapter4_en_5.2.0_3.0_1700360576966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trainer_chapter4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/osanseviero/trainer-chapter4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-trajectory_classifier2_en.md b/docs/_posts/ahmedlone127/2023-11-19-trajectory_classifier2_en.md
new file mode 100644
index 000000000000..109c5fecc4ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-trajectory_classifier2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English trajectory_classifier2 DistilBertForSequenceClassification from alexamiredjibi
+author: John Snow Labs
+name: trajectory_classifier2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trajectory_classifier2` is a English model originally trained by alexamiredjibi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trajectory_classifier2_en_5.2.0_3.0_1700405306986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trajectory_classifier2_en_5.2.0_3.0_1700405306986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trajectory_classifier2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/alexamiredjibi/trajectory-classifier2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-treatment_recommendation_en.md b/docs/_posts/ahmedlone127/2023-11-19-treatment_recommendation_en.md
new file mode 100644
index 000000000000..5bb567fc4af0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-treatment_recommendation_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English treatment_recommendation DistilBertForSequenceClassification from Straiberry
+author: John Snow Labs
+name: treatment_recommendation
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`treatment_recommendation` is a English model originally trained by Straiberry.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/treatment_recommendation_en_5.2.0_3.0_1700427605394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/treatment_recommendation_en_5.2.0_3.0_1700427605394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|treatment_recommendation|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Straiberry/Treatment_Recommendation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-truera_huggingface_monitoring_en.md b/docs/_posts/ahmedlone127/2023-11-19-truera_huggingface_monitoring_en.md
new file mode 100644
index 000000000000..990131e0fe2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-truera_huggingface_monitoring_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English truera_huggingface_monitoring DistilBertForSequenceClassification from ebotwick
+author: John Snow Labs
+name: truera_huggingface_monitoring
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`truera_huggingface_monitoring` is a English model originally trained by ebotwick.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/truera_huggingface_monitoring_en_5.2.0_3.0_1700437277025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/truera_huggingface_monitoring_en_5.2.0_3.0_1700437277025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|truera_huggingface_monitoring|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ebotwick/truera_huggingface_monitoring
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-tsc_finetuning_sentiment_movie_model2_en.md b/docs/_posts/ahmedlone127/2023-11-19-tsc_finetuning_sentiment_movie_model2_en.md
new file mode 100644
index 000000000000..4c807b11226e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-tsc_finetuning_sentiment_movie_model2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tsc_finetuning_sentiment_movie_model2 DistilBertForSequenceClassification from malcolm
+author: John Snow Labs
+name: tsc_finetuning_sentiment_movie_model2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tsc_finetuning_sentiment_movie_model2` is a English model originally trained by malcolm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tsc_finetuning_sentiment_movie_model2_en_5.2.0_3.0_1700408079102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tsc_finetuning_sentiment_movie_model2_en_5.2.0_3.0_1700408079102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tsc_finetuning_sentiment_movie_model2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/malcolm/TSC_finetuning-sentiment-movie-model2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-tst_resnet50_2_en.md b/docs/_posts/ahmedlone127/2023-11-19-tst_resnet50_2_en.md
new file mode 100644
index 000000000000..d9013e374a30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-tst_resnet50_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tst_resnet50_2 DistilBertForSequenceClassification from laol777
+author: John Snow Labs
+name: tst_resnet50_2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tst_resnet50_2` is a English model originally trained by laol777.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tst_resnet50_2_en_5.2.0_3.0_1700361702648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tst_resnet50_2_en_5.2.0_3.0_1700361702648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tst_resnet50_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/laol777/tst_resnet50_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-tweet_toxicity_en.md b/docs/_posts/ahmedlone127/2023-11-19-tweet_toxicity_en.md
new file mode 100644
index 000000000000..4590b9fb9259
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-tweet_toxicity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tweet_toxicity DistilBertForSequenceClassification from sachiniyer
+author: John Snow Labs
+name: tweet_toxicity
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_toxicity` is a English model originally trained by sachiniyer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_toxicity_en_5.2.0_3.0_1700353829412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_toxicity_en_5.2.0_3.0_1700353829412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweet_toxicity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sachiniyer/tweet_toxicity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_en.md b/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_en.md
new file mode 100644
index 000000000000..3c34c781e4b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_data_distilbert_base_uncased_sentiment_finetuned_memes DistilBertForSequenceClassification from jayantapaul888
+author: John Snow Labs
+name: twitter_data_distilbert_base_uncased_sentiment_finetuned_memes
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_data_distilbert_base_uncased_sentiment_finetuned_memes` is a English model originally trained by jayantapaul888.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_en_5.2.0_3.0_1700424047355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_en_5.2.0_3.0_1700424047355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_data_distilbert_base_uncased_sentiment_finetuned_memes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jayantapaul888/twitter-data-distilbert-base-uncased-sentiment-finetuned-memes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_test_en.md b/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_test_en.md
new file mode 100644
index 000000000000..e3c1ae226780
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_test_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_test DistilBertForSequenceClassification from SiddharthaM
+author: John Snow Labs
+name: twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_test
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_test` is a English model originally trained by SiddharthaM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_test_en_5.2.0_3.0_1700435830888.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_test_en_5.2.0_3.0_1700435830888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_test|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SiddharthaM/twitter-data-distilbert-base-uncased-sentiment-finetuned-memes-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v1_en.md b/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v1_en.md
new file mode 100644
index 000000000000..39edcc13018f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v1 DistilBertForSequenceClassification from SiddharthaM
+author: John Snow Labs
+name: twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v1
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v1` is a English model originally trained by SiddharthaM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v1_en_5.2.0_3.0_1700419845510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v1_en_5.2.0_3.0_1700419845510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SiddharthaM/twitter-data-distilbert-base-uncased-sentiment-finetuned-memes-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v2_en.md b/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v2_en.md
new file mode 100644
index 000000000000..c413f8bf80c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v2 DistilBertForSequenceClassification from SiddharthaM
+author: John Snow Labs
+name: twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v2
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v2` is a English model originally trained by SiddharthaM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v2_en_5.2.0_3.0_1700421500322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v2_en_5.2.0_3.0_1700421500322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_data_distilbert_base_uncased_sentiment_finetuned_memes_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SiddharthaM/twitter-data-distilbert-base-uncased-sentiment-finetuned-memes-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-universityexerciseanothertry_en.md b/docs/_posts/ahmedlone127/2023-11-19-universityexerciseanothertry_en.md
new file mode 100644
index 000000000000..cc951d5af80b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-universityexerciseanothertry_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English universityexerciseanothertry DistilBertForSequenceClassification from le1andonly
+author: John Snow Labs
+name: universityexerciseanothertry
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`universityexerciseanothertry` is a English model originally trained by le1andonly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/universityexerciseanothertry_en_5.2.0_3.0_1700382207678.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/universityexerciseanothertry_en_5.2.0_3.0_1700382207678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|universityexerciseanothertry|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/le1andonly/universityexerciseanothertry
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-unwanted_content_detector_en.md b/docs/_posts/ahmedlone127/2023-11-19-unwanted_content_detector_en.md
new file mode 100644
index 000000000000..abe05d1e465f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-unwanted_content_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English unwanted_content_detector DistilBertForSequenceClassification from JeanMachado
+author: John Snow Labs
+name: unwanted_content_detector
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unwanted_content_detector` is a English model originally trained by JeanMachado.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unwanted_content_detector_en_5.2.0_3.0_1700356414579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unwanted_content_detector_en_5.2.0_3.0_1700356414579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|unwanted_content_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JeanMachado/unwanted_content_detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-vba_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-19-vba_distilbert_en.md
new file mode 100644
index 000000000000..8fa88d7a9eed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-vba_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English vba_distilbert DistilBertForSequenceClassification from sadickam
+author: John Snow Labs
+name: vba_distilbert
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vba_distilbert` is a English model originally trained by sadickam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vba_distilbert_en_5.2.0_3.0_1700371053081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vba_distilbert_en_5.2.0_3.0_1700371053081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vba_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sadickam/vba-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-website_classification_model_en.md b/docs/_posts/ahmedlone127/2023-11-19-website_classification_model_en.md
new file mode 100644
index 000000000000..17a3803110a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-website_classification_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English website_classification_model DistilBertForSequenceClassification from Eitanli
+author: John Snow Labs
+name: website_classification_model
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`website_classification_model` is a English model originally trained by Eitanli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/website_classification_model_en_5.2.0_3.0_1700371053096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/website_classification_model_en_5.2.0_3.0_1700371053096.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|website_classification_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Eitanli/website_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-19-yelp_distilbert_5e_en.md b/docs/_posts/ahmedlone127/2023-11-19-yelp_distilbert_5e_en.md
new file mode 100644
index 000000000000..be1302144c8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-19-yelp_distilbert_5e_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English yelp_distilbert_5e DistilBertForSequenceClassification from pig4431
+author: John Snow Labs
+name: yelp_distilbert_5e
+date: 2023-11-19
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yelp_distilbert_5e` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yelp_distilbert_5e_en_5.2.0_3.0_1700408959565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yelp_distilbert_5e_en_5.2.0_3.0_1700408959565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yelp_distilbert_5e|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/pig4431/YELP_DistilBERT_5E
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-4_way_detection_prop_16_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-20-4_way_detection_prop_16_distilbert_en.md
new file mode 100644
index 000000000000..e4e9833e8811
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-4_way_detection_prop_16_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 4_way_detection_prop_16_distilbert DistilBertForSequenceClassification from ultra-coder54732
+author: John Snow Labs
+name: 4_way_detection_prop_16_distilbert
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`4_way_detection_prop_16_distilbert` is a English model originally trained by ultra-coder54732.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/4_way_detection_prop_16_distilbert_en_5.2.0_3.0_1700496105654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/4_way_detection_prop_16_distilbert_en_5.2.0_3.0_1700496105654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|4_way_detection_prop_16_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ultra-coder54732/4-way-detection-prop-16-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-agnews_distilbert_finetuned_en.md b/docs/_posts/ahmedlone127/2023-11-20-agnews_distilbert_finetuned_en.md
new file mode 100644
index 000000000000..bebf3775613e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-agnews_distilbert_finetuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English agnews_distilbert_finetuned DistilBertForSequenceClassification from billster45
+author: John Snow Labs
+name: agnews_distilbert_finetuned
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`agnews_distilbert_finetuned` is a English model originally trained by billster45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/agnews_distilbert_finetuned_en_5.2.0_3.0_1700443333796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/agnews_distilbert_finetuned_en_5.2.0_3.0_1700443333796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|agnews_distilbert_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/billster45/agnews_distilbert_finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-app_en.md b/docs/_posts/ahmedlone127/2023-11-20-app_en.md
new file mode 100644
index 000000000000..396d06efda57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-app_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English app DistilBertForTokenClassification from pierrerappolt-okta
+author: John Snow Labs
+name: app
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`app` is a English model originally trained by pierrerappolt-okta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/app_en_5.2.0_3.0_1700519714968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/app_en_5.2.0_3.0_1700519714968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|app|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/pierrerappolt-okta/app
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-autotrain_js_classification_6_cat_dist_bert_uncased_54424128043_en.md b/docs/_posts/ahmedlone127/2023-11-20-autotrain_js_classification_6_cat_dist_bert_uncased_54424128043_en.md
new file mode 100644
index 000000000000..7fa5894e5922
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-autotrain_js_classification_6_cat_dist_bert_uncased_54424128043_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autotrain_js_classification_6_cat_dist_bert_uncased_54424128043 DistilBertForSequenceClassification from bodik
+author: John Snow Labs
+name: autotrain_js_classification_6_cat_dist_bert_uncased_54424128043
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_js_classification_6_cat_dist_bert_uncased_54424128043` is a English model originally trained by bodik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_js_classification_6_cat_dist_bert_uncased_54424128043_en_5.2.0_3.0_1700438751706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_js_classification_6_cat_dist_bert_uncased_54424128043_en_5.2.0_3.0_1700438751706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_js_classification_6_cat_dist_bert_uncased_54424128043|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bodik/autotrain-js-classification-6-cat-dist-bert-uncased-54424128043
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-background_distilebert_2023_02_21_19_08_en.md b/docs/_posts/ahmedlone127/2023-11-20-background_distilebert_2023_02_21_19_08_en.md
new file mode 100644
index 000000000000..118819f24729
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-background_distilebert_2023_02_21_19_08_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English background_distilebert_2023_02_21_19_08 DistilBertForSequenceClassification from leeju
+author: John Snow Labs
+name: background_distilebert_2023_02_21_19_08
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`background_distilebert_2023_02_21_19_08` is a English model originally trained by leeju.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/background_distilebert_2023_02_21_19_08_en_5.2.0_3.0_1700483305055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/background_distilebert_2023_02_21_19_08_en_5.2.0_3.0_1700483305055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|background_distilebert_2023_02_21_19_08|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.9 MB|
+
+## References
+
+https://huggingface.co/leeju/background-distilebert_2023-02-21_19-08
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-bacteria_lamp_network_en.md b/docs/_posts/ahmedlone127/2023-11-20-bacteria_lamp_network_en.md
new file mode 100644
index 000000000000..c04c4328e565
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-bacteria_lamp_network_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bacteria_lamp_network DistilBertForSequenceClassification from The-Data-Hound
+author: John Snow Labs
+name: bacteria_lamp_network
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bacteria_lamp_network` is a English model originally trained by The-Data-Hound.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bacteria_lamp_network_en_5.2.0_3.0_1700447198006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bacteria_lamp_network_en_5.2.0_3.0_1700447198006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bacteria_lamp_network|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/The-Data-Hound/bacteria_lamp_network
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-bert_b07_en.md b/docs/_posts/ahmedlone127/2023-11-20-bert_b07_en.md
new file mode 100644
index 000000000000..cf285666a098
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-bert_b07_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_b07 DistilBertForTokenClassification from LazzeKappa
+author: John Snow Labs
+name: bert_b07
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_b07` is a English model originally trained by LazzeKappa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_b07_en_5.2.0_3.0_1700521668306.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_b07_en_5.2.0_3.0_1700521668306.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_b07|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/LazzeKappa/BERT_B07
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-bert_concept_extraction_en.md b/docs/_posts/ahmedlone127/2023-11-20-bert_concept_extraction_en.md
new file mode 100644
index 000000000000..4ce1c74e6ba1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-bert_concept_extraction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_concept_extraction DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: bert_concept_extraction
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_concept_extraction` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_concept_extraction_en_5.2.0_3.0_1700521534777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_concept_extraction_en_5.2.0_3.0_1700521534777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_concept_extraction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/bert_concept_extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_gabella_en.md b/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_gabella_en.md
new file mode 100644
index 000000000000..3b13edd15598
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_gabella_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_emotion_gabella DistilBertForSequenceClassification from gabella
+author: John Snow Labs
+name: bert_emotion_gabella
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_gabella` is a English model originally trained by gabella.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_gabella_en_5.2.0_3.0_1700456518620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_gabella_en_5.2.0_3.0_1700456518620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotion_gabella|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/gabella/bert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_garrett_vangilder_en.md b/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_garrett_vangilder_en.md
new file mode 100644
index 000000000000..17a88a1ac5ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_garrett_vangilder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_emotion_garrett_vangilder DistilBertForSequenceClassification from garrett-vangilder
+author: John Snow Labs
+name: bert_emotion_garrett_vangilder
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_garrett_vangilder` is a English model originally trained by garrett-vangilder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_garrett_vangilder_en_5.2.0_3.0_1700458882615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_garrett_vangilder_en_5.2.0_3.0_1700458882615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotion_garrett_vangilder|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/garrett-vangilder/bert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_jnieus01_en.md b/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_jnieus01_en.md
new file mode 100644
index 000000000000..665bf4d6ac38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_jnieus01_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_emotion_jnieus01 DistilBertForSequenceClassification from jnieus01
+author: John Snow Labs
+name: bert_emotion_jnieus01
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_jnieus01` is a English model originally trained by jnieus01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_jnieus01_en_5.2.0_3.0_1700460307386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_jnieus01_en_5.2.0_3.0_1700460307386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotion_jnieus01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/jnieus01/bert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_lss8ak_en.md b/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_lss8ak_en.md
new file mode 100644
index 000000000000..a73dc4c5152e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-bert_emotion_lss8ak_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_emotion_lss8ak DistilBertForSequenceClassification from lss8ak
+author: John Snow Labs
+name: bert_emotion_lss8ak
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_emotion_lss8ak` is a English model originally trained by lss8ak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_emotion_lss8ak_en_5.2.0_3.0_1700473302609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_emotion_lss8ak_en_5.2.0_3.0_1700473302609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_emotion_lss8ak|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/lss8ak/bert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-bert_engonly_sentiment_test_en.md b/docs/_posts/ahmedlone127/2023-11-20-bert_engonly_sentiment_test_en.md
new file mode 100644
index 000000000000..7b49a74f22b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-bert_engonly_sentiment_test_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_engonly_sentiment_test DistilBertForSequenceClassification from SiddharthaM
+author: John Snow Labs
+name: bert_engonly_sentiment_test
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_engonly_sentiment_test` is a English model originally trained by SiddharthaM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_engonly_sentiment_test_en_5.2.0_3.0_1700441164995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_engonly_sentiment_test_en_5.2.0_3.0_1700441164995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_engonly_sentiment_test|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SiddharthaM/bert-engonly-sentiment-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-bert_medical_ner_en.md b/docs/_posts/ahmedlone127/2023-11-20-bert_medical_ner_en.md
new file mode 100644
index 000000000000..454f14b7756a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-bert_medical_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_medical_ner DistilBertForTokenClassification from silpakanneganti
+author: John Snow Labs
+name: bert_medical_ner
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_medical_ner` is a English model originally trained by silpakanneganti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_medical_ner_en_5.2.0_3.0_1700521534836.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_medical_ner_en_5.2.0_3.0_1700521534836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_medical_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|244.0 MB|
+
+## References
+
+https://huggingface.co/silpakanneganti/bert-medical-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-biomedical_ner_all_d4data_en.md b/docs/_posts/ahmedlone127/2023-11-20-biomedical_ner_all_d4data_en.md
new file mode 100644
index 000000000000..d813d72c2aed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-biomedical_ner_all_d4data_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical_ner_all_d4data DistilBertForTokenClassification from d4data
+author: John Snow Labs
+name: biomedical_ner_all_d4data
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedical_ner_all_d4data` is a English model originally trained by d4data.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_d4data_en_5.2.0_3.0_1700519723754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_d4data_en_5.2.0_3.0_1700519723754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical_ner_all_d4data|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.5 MB|
+
+## References
+
+https://huggingface.co/d4data/biomedical-ner-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-biomedical_ner_all_sschet_en.md b/docs/_posts/ahmedlone127/2023-11-20-biomedical_ner_all_sschet_en.md
new file mode 100644
index 000000000000..78867e0b35ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-biomedical_ner_all_sschet_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical_ner_all_sschet DistilBertForTokenClassification from sschet
+author: John Snow Labs
+name: biomedical_ner_all_sschet
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedical_ner_all_sschet` is a English model originally trained by sschet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_sschet_en_5.2.0_3.0_1700519889561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_sschet_en_5.2.0_3.0_1700519889561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical_ner_all_sschet|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.5 MB|
+
+## References
+
+https://huggingface.co/sschet/biomedical-ner-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-blaze_italian_ner_it.md b/docs/_posts/ahmedlone127/2023-11-20-blaze_italian_ner_it.md
new file mode 100644
index 000000000000..7bbf20a26c29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-blaze_italian_ner_it.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Italian blaze_italian_ner DistilBertForTokenClassification from osiria
+author: John Snow Labs
+name: blaze_italian_ner
+date: 2023-11-20
+tags: [bert, it, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: it
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`blaze_italian_ner` is a Italian model originally trained by osiria.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/blaze_italian_ner_it_5.2.0_3.0_1700520485268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/blaze_italian_ner_it_5.2.0_3.0_1700520485268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|blaze_italian_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|it|
+|Size:|200.7 MB|
+
+## References
+
+https://huggingface.co/osiria/blaze-it-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-bookgenrepredictiondbert_en.md b/docs/_posts/ahmedlone127/2023-11-20-bookgenrepredictiondbert_en.md
new file mode 100644
index 000000000000..35f6c2395467
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-bookgenrepredictiondbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bookgenrepredictiondbert DistilBertForSequenceClassification from leireher
+author: John Snow Labs
+name: bookgenrepredictiondbert
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bookgenrepredictiondbert` is a English model originally trained by leireher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bookgenrepredictiondbert_en_5.2.0_3.0_1700442939418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bookgenrepredictiondbert_en_5.2.0_3.0_1700442939418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bookgenrepredictiondbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/leireher/BookGenrePredictionDBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-burmese_awesome_model_ali_issa_en.md b/docs/_posts/ahmedlone127/2023-11-20-burmese_awesome_model_ali_issa_en.md
new file mode 100644
index 000000000000..be814ade960c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-burmese_awesome_model_ali_issa_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_ali_issa DistilBertForSequenceClassification from ali-issa
+author: John Snow Labs
+name: burmese_awesome_model_ali_issa
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_ali_issa` is a English model originally trained by ali-issa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ali_issa_en_5.2.0_3.0_1700468201454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_ali_issa_en_5.2.0_3.0_1700468201454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_ali_issa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ali-issa/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-burmese_awesome_model_koreadaeil_en.md b/docs/_posts/ahmedlone127/2023-11-20-burmese_awesome_model_koreadaeil_en.md
new file mode 100644
index 000000000000..cd216750278b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-burmese_awesome_model_koreadaeil_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_koreadaeil DistilBertForSequenceClassification from koreadaeil
+author: John Snow Labs
+name: burmese_awesome_model_koreadaeil
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_koreadaeil` is a English model originally trained by koreadaeil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_koreadaeil_en_5.2.0_3.0_1700472264611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_koreadaeil_en_5.2.0_3.0_1700472264611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_koreadaeil|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/koreadaeil/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-burmese_awesome_wnut_model_stevhliu_en.md b/docs/_posts/ahmedlone127/2023-11-20-burmese_awesome_wnut_model_stevhliu_en.md
new file mode 100644
index 000000000000..0ae8531de9cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-burmese_awesome_wnut_model_stevhliu_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_stevhliu DistilBertForTokenClassification from stevhliu
+author: John Snow Labs
+name: burmese_awesome_wnut_model_stevhliu
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_stevhliu` is a English model originally trained by stevhliu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_stevhliu_en_5.2.0_3.0_1700519530687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_stevhliu_en_5.2.0_3.0_1700519530687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_stevhliu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/stevhliu/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-clinical_distilbert_i2b2_2010_en.md b/docs/_posts/ahmedlone127/2023-11-20-clinical_distilbert_i2b2_2010_en.md
new file mode 100644
index 000000000000..3e914786a18c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-clinical_distilbert_i2b2_2010_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clinical_distilbert_i2b2_2010 DistilBertForTokenClassification from nlpie
+author: John Snow Labs
+name: clinical_distilbert_i2b2_2010
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clinical_distilbert_i2b2_2010` is a English model originally trained by nlpie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinical_distilbert_i2b2_2010_en_5.2.0_3.0_1700519913256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinical_distilbert_i2b2_2010_en_5.2.0_3.0_1700519913256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinical_distilbert_i2b2_2010|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.6 MB|
+
+## References
+
+https://huggingface.co/nlpie/clinical-distilbert-i2b2-2010
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-cybersecurity_ner_v2_en.md b/docs/_posts/ahmedlone127/2023-11-20-cybersecurity_ner_v2_en.md
new file mode 100644
index 000000000000..ba3d89c29125
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-cybersecurity_ner_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English cybersecurity_ner_v2 DistilBertForTokenClassification from sudipadhikari
+author: John Snow Labs
+name: cybersecurity_ner_v2
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cybersecurity_ner_v2` is a English model originally trained by sudipadhikari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cybersecurity_ner_v2_en_5.2.0_3.0_1700520525724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cybersecurity_ner_v2_en_5.2.0_3.0_1700520525724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cybersecurity_ner_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sudipadhikari/cybersecurity_ner-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-dappradar_categories_prediction_en.md b/docs/_posts/ahmedlone127/2023-11-20-dappradar_categories_prediction_en.md
new file mode 100644
index 000000000000..8419f12a3c32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-dappradar_categories_prediction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dappradar_categories_prediction DistilBertForSequenceClassification from Mantas
+author: John Snow Labs
+name: dappradar_categories_prediction
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dappradar_categories_prediction` is a English model originally trained by Mantas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dappradar_categories_prediction_en_5.2.0_3.0_1700476658979.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dappradar_categories_prediction_en_5.2.0_3.0_1700476658979.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dappradar_categories_prediction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Mantas/dappradar-categories-prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-demo_emotion_31415_en.md b/docs/_posts/ahmedlone127/2023-11-20-demo_emotion_31415_en.md
new file mode 100644
index 000000000000..51614b2e954e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-demo_emotion_31415_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English demo_emotion_31415 DistilBertForSequenceClassification from aXhyra
+author: John Snow Labs
+name: demo_emotion_31415
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_emotion_31415` is a English model originally trained by aXhyra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_emotion_31415_en_5.2.0_3.0_1700439131880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_emotion_31415_en_5.2.0_3.0_1700439131880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|demo_emotion_31415|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aXhyra/demo_emotion_31415
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-demo_irony_42_en.md b/docs/_posts/ahmedlone127/2023-11-20-demo_irony_42_en.md
new file mode 100644
index 000000000000..ea293e2137b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-demo_irony_42_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English demo_irony_42 DistilBertForSequenceClassification from aXhyra
+author: John Snow Labs
+name: demo_irony_42
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_irony_42` is a English model originally trained by aXhyra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_irony_42_en_5.2.0_3.0_1700495100986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_irony_42_en_5.2.0_3.0_1700495100986.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|demo_irony_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aXhyra/demo_irony_42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-demo_sentiment_1234567_en.md b/docs/_posts/ahmedlone127/2023-11-20-demo_sentiment_1234567_en.md
new file mode 100644
index 000000000000..119f64d84426
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-demo_sentiment_1234567_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English demo_sentiment_1234567 DistilBertForSequenceClassification from aXhyra
+author: John Snow Labs
+name: demo_sentiment_1234567
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`demo_sentiment_1234567` is a English model originally trained by aXhyra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/demo_sentiment_1234567_en_5.2.0_3.0_1700453594049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/demo_sentiment_1234567_en_5.2.0_3.0_1700453594049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|demo_sentiment_1234567|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aXhyra/demo_sentiment_1234567
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-destilbert_fever_nli_en.md b/docs/_posts/ahmedlone127/2023-11-20-destilbert_fever_nli_en.md
new file mode 100644
index 000000000000..63001e788b98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-destilbert_fever_nli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English destilbert_fever_nli DistilBertForSequenceClassification from ernlavr
+author: John Snow Labs
+name: destilbert_fever_nli
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`destilbert_fever_nli` is a English model originally trained by ernlavr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/destilbert_fever_nli_en_5.2.0_3.0_1700492262379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/destilbert_fever_nli_en_5.2.0_3.0_1700492262379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|destilbert_fever_nli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/ernlavr/destilbert_fever_nli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distil_bert_1412_oriya_en.md b/docs/_posts/ahmedlone127/2023-11-20-distil_bert_1412_oriya_en.md
new file mode 100644
index 000000000000..4798a3b35a65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distil_bert_1412_oriya_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distil_bert_1412_oriya DistilBertForSequenceClassification from gg-ai
+author: John Snow Labs
+name: distil_bert_1412_oriya
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_bert_1412_oriya` is a English model originally trained by gg-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_bert_1412_oriya_en_5.2.0_3.0_1700474098446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_bert_1412_oriya_en_5.2.0_3.0_1700474098446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_bert_1412_oriya|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.4 MB|
+
+## References
+
+https://huggingface.co/gg-ai/distil-bert-1412-or
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_cola_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_cola_en.md
new file mode 100644
index 000000000000..a84765bd77f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_cola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_cola DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_cola
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_cola` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_cola_en_5.2.0_3.0_1700444929920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_cola_en_5.2.0_3.0_1700444929920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_cola|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_mnli_96_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_mnli_96_en.md
new file mode 100644
index 000000000000..efb97128fbc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_mnli_96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_mnli_96 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_mnli_96
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_mnli_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_mnli_96_en_5.2.0_3.0_1700470253575.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_mnli_96_en_5.2.0_3.0_1700470253575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_mnli_96|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_mnli_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qnli_384_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qnli_384_en.md
new file mode 100644
index 000000000000..c7be15498a06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qnli_384_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_qnli_384 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_qnli_384
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_qnli_384` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_qnli_384_en_5.2.0_3.0_1700502859167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_qnli_384_en_5.2.0_3.0_1700502859167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_qnli_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|111.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_qnli_384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qnli_96_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qnli_96_en.md
new file mode 100644
index 000000000000..fffa3d555496
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qnli_96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_qnli_96 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_qnli_96
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_qnli_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_qnli_96_en_5.2.0_3.0_1700452577428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_qnli_96_en_5.2.0_3.0_1700452577428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_qnli_96|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_qnli_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qqp_192_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qqp_192_en.md
new file mode 100644
index 000000000000..3e3320ce4532
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qqp_192_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_qqp_192 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_qqp_192
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_qqp_192` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_qqp_192_en_5.2.0_3.0_1700477806996.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_qqp_192_en_5.2.0_3.0_1700477806996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_qqp_192|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_qqp_192
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qqp_96_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qqp_96_en.md
new file mode 100644
index 000000000000..0738b08eef3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_qqp_96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_qqp_96 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_qqp_96
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_qqp_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_qqp_96_en_5.2.0_3.0_1700448051909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_qqp_96_en_5.2.0_3.0_1700448051909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_qqp_96|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_qqp_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_rte_96_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_rte_96_en.md
new file mode 100644
index 000000000000..12dc2ad5a1cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_rte_96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_rte_96 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_rte_96
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_rte_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_rte_96_en_5.2.0_3.0_1700455373951.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_rte_96_en_5.2.0_3.0_1700455373951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_rte_96|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_rte_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_sst2_96_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_sst2_96_en.md
new file mode 100644
index 000000000000..30e150a5e0d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_sst2_96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_sst2_96 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_sst2_96
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_sst2_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_sst2_96_en_5.2.0_3.0_1700455373939.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_sst2_96_en_5.2.0_3.0_1700455373939.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_sst2_96|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_sst2_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_stsb_192_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_stsb_192_en.md
new file mode 100644
index 000000000000..e086c8ee673a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_stsb_192_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_stsb_192 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_stsb_192
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_stsb_192` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_stsb_192_en_5.2.0_3.0_1700446139412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_stsb_192_en_5.2.0_3.0_1700446139412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_stsb_192|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|52.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_stsb_192
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_stsb_256_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_stsb_256_en.md
new file mode 100644
index 000000000000..4af9e37581ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_stsb_256_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_stsb_256 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_stsb_256
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_stsb_256` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_stsb_256_en_5.2.0_3.0_1700474853831.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_stsb_256_en_5.2.0_3.0_1700474853831.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_stsb_256|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|71.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_stsb_256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_stsb_96_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_stsb_96_en.md
new file mode 100644
index 000000000000..6eda1bfeaa95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_stsb_96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_stsb_96 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_stsb_96
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_stsb_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_stsb_96_en_5.2.0_3.0_1700481959924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_stsb_96_en_5.2.0_3.0_1700481959924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_stsb_96|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_stsb_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_wnli_256_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_wnli_256_en.md
new file mode 100644
index 000000000000..8aa3e65c5f59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_logit_kd_wnli_256_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_logit_kd_wnli_256 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_logit_kd_wnli_256
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_logit_kd_wnli_256` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_wnli_256_en_5.2.0_3.0_1700488625906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_logit_kd_wnli_256_en_5.2.0_3.0_1700488625906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_logit_kd_wnli_256|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|71.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_logit_kd_wnli_256
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_mnli_96_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_mnli_96_en.md
new file mode 100644
index 000000000000..8555618f2e93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_mnli_96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_mnli_96 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_mnli_96
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_mnli_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_mnli_96_en_5.2.0_3.0_1700456486832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_mnli_96_en_5.2.0_3.0_1700456486832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_mnli_96|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_mnli_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_mrpc_192_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_mrpc_192_en.md
new file mode 100644
index 000000000000..8961e4f1192b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_mrpc_192_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_mrpc_192 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_mrpc_192
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_mrpc_192` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_mrpc_192_en_5.2.0_3.0_1700481342912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_mrpc_192_en_5.2.0_3.0_1700481342912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_mrpc_192|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|52.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_mrpc_192
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_mrpc_96_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_mrpc_96_en.md
new file mode 100644
index 000000000000..b21b31c613bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_mrpc_96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_mrpc_96 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_mrpc_96
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_mrpc_96` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_mrpc_96_en_5.2.0_3.0_1700478575849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_mrpc_96_en_5.2.0_3.0_1700478575849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_mrpc_96|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|25.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_mrpc_96
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_qnli_192_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_qnli_192_en.md
new file mode 100644
index 000000000000..4ca405b90d31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_qnli_192_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_qnli_192 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_qnli_192
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_qnli_192` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_qnli_192_en_5.2.0_3.0_1700459251453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_qnli_192_en_5.2.0_3.0_1700459251453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_qnli_192|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_qnli_192
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_qnli_384_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_qnli_384_en.md
new file mode 100644
index 000000000000..87c3cfe32fe7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_add_glue_experiment_qnli_384_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_add_glue_experiment_qnli_384 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_add_glue_experiment_qnli_384
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_add_glue_experiment_qnli_384` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_qnli_384_en_5.2.0_3.0_1700496919731.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_add_glue_experiment_qnli_384_en_5.2.0_3.0_1700496919731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_add_glue_experiment_qnli_384|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|111.8 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_add_GLUE_Experiment_qnli_384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_amazon_shoe_reviews_tensorboard_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_amazon_shoe_reviews_tensorboard_en.md
new file mode 100644
index 000000000000..5665fbfbcb94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_amazon_shoe_reviews_tensorboard_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_amazon_shoe_reviews_tensorboard DistilBertForSequenceClassification from juliensimon
+author: John Snow Labs
+name: distilbert_amazon_shoe_reviews_tensorboard
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_amazon_shoe_reviews_tensorboard` is a English model originally trained by juliensimon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_amazon_shoe_reviews_tensorboard_en_5.2.0_3.0_1700463072817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_amazon_shoe_reviews_tensorboard_en_5.2.0_3.0_1700463072817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_amazon_shoe_reviews_tensorboard|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/juliensimon/distilbert-amazon-shoe-reviews-tensorboard
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_banking77_pt2_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_banking77_pt2_en.md
new file mode 100644
index 000000000000..81b0ab017b7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_banking77_pt2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_banking77_pt2 DistilBertForSequenceClassification from happytree09
+author: John Snow Labs
+name: distilbert_base_banking77_pt2
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_banking77_pt2` is a English model originally trained by happytree09.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_banking77_pt2_en_5.2.0_3.0_1700471299982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_banking77_pt2_en_5.2.0_3.0_1700471299982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_banking77_pt2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/happytree09/distilbert-base-banking77-pt2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0_en.md
new file mode 100644
index 000000000000..87b0408b2284
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0_en_5.2.0_3.0_1700522540972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0_en_5.2.0_3.0_1700522540972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-kp20k-v1.0-concept-extraction-wikipedia-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_fine_tuned_food_ner_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_fine_tuned_food_ner_en.md
new file mode 100644
index 000000000000..6ba1c7c81498
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_fine_tuned_food_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_fine_tuned_food_ner DistilBertForTokenClassification from davanstrien
+author: John Snow Labs
+name: distilbert_base_cased_fine_tuned_food_ner
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_fine_tuned_food_ner` is a English model originally trained by davanstrien.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_fine_tuned_food_ner_en_5.2.0_3.0_1700524228519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_fine_tuned_food_ner_en_5.2.0_3.0_1700524228519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_fine_tuned_food_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.9 MB|
+
+## References
+
+https://huggingface.co/davanstrien/distilbert-base-cased_fine_tuned_food_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_finetuned_financial_csv_gevis1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_finetuned_financial_csv_gevis1_en.md
new file mode 100644
index 000000000000..7dd41bfbf29d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_finetuned_financial_csv_gevis1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_financial_csv_gevis1 DistilBertForSequenceClassification from gevis1
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_financial_csv_gevis1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_financial_csv_gevis1` is a English model originally trained by gevis1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_financial_csv_gevis1_en_5.2.0_3.0_1700468647248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_financial_csv_gevis1_en_5.2.0_3.0_1700468647248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_financial_csv_gevis1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/gevis1/distilbert-base-cased-finetuned-financial-csv-gevis1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_finetuned_ner_t1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_finetuned_ner_t1_en.md
new file mode 100644
index 000000000000..0c7a176440d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_finetuned_ner_t1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_t1 DistilBertForTokenClassification from RS7
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_t1
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_t1` is a English model originally trained by RS7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_t1_en_5.2.0_3.0_1700523567053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_t1_en_5.2.0_3.0_1700523567053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_t1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/RS7/distilbert-base-cased-finetuned-ner-t1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_finetuned_ner_t1_g1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_finetuned_ner_t1_g1_en.md
new file mode 100644
index 000000000000..79271fea1a64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_finetuned_ner_t1_g1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_t1_g1 DistilBertForTokenClassification from RS7
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_t1_g1
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_t1_g1` is a English model originally trained by RS7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_t1_g1_en_5.2.0_3.0_1700519886193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_t1_g1_en_5.2.0_3.0_1700519886193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_t1_g1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/RS7/distilbert-base-cased-finetuned-ner-t1-g1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_hate_speech_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_hate_speech_en.md
new file mode 100644
index 000000000000..f0a34726e141
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_hate_speech_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_cased_hate_speech DistilBertForSequenceClassification from morenolq
+author: John Snow Labs
+name: distilbert_base_cased_hate_speech
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_hate_speech` is a English model originally trained by morenolq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_hate_speech_en_5.2.0_3.0_1700464065999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_hate_speech_en_5.2.0_3.0_1700464065999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_hate_speech|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/morenolq/distilbert-base-cased-hate-speech
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_wikiann_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_wikiann_en.md
new file mode 100644
index 000000000000..87e57522631b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_cased_wikiann_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_wikiann DistilBertForTokenClassification from Domino-ai
+author: John Snow Labs
+name: distilbert_base_cased_wikiann
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_wikiann` is a English model originally trained by Domino-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_wikiann_en_5.2.0_3.0_1700523880196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_wikiann_en_5.2.0_3.0_1700523880196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_wikiann|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Domino-ai/distilbert-base-cased-wikiann
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_multiling_finetuned_emotion_bulgarian_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_multiling_finetuned_emotion_bulgarian_en.md
new file mode 100644
index 000000000000..e5eb96f148c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_multiling_finetuned_emotion_bulgarian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_multiling_finetuned_emotion_bulgarian DistilBertForSequenceClassification from vladkolev
+author: John Snow Labs
+name: distilbert_base_multiling_finetuned_emotion_bulgarian
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multiling_finetuned_emotion_bulgarian` is a English model originally trained by vladkolev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multiling_finetuned_emotion_bulgarian_en_5.2.0_3.0_1700495210268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multiling_finetuned_emotion_bulgarian_en_5.2.0_3.0_1700495210268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_misogyny_sexism_decay0_05_french_outofdomain|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/annahaz/distilbert-base-multilingual-cased-misogyny-sexism-decay0.05-fr-outofdomain
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_re_punctuate_unikei_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_re_punctuate_unikei_en.md
new file mode 100644
index 000000000000..49e0d11d3680
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_re_punctuate_unikei_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_re_punctuate_unikei DistilBertForTokenClassification from unikei
+author: John Snow Labs
+name: distilbert_base_re_punctuate_unikei
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_re_punctuate_unikei` is a English model originally trained by unikei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_re_punctuate_unikei_en_5.2.0_3.0_1700518952834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_re_punctuate_unikei_en_5.2.0_3.0_1700518952834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_re_punctuate_unikei|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/unikei/distilbert-base-re-punctuate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_turkish_cased_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_turkish_cased_finetuned_emotion_en.md
new file mode 100644
index 000000000000..2e0544d9c0ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_turkish_cased_finetuned_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_turkish_cased_finetuned_emotion DistilBertForSequenceClassification from BenTata-86
+author: John Snow Labs
+name: distilbert_base_turkish_cased_finetuned_emotion
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_turkish_cased_finetuned_emotion` is a English model originally trained by BenTata-86.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_turkish_cased_finetuned_emotion_en_5.2.0_3.0_1700450638630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_turkish_cased_finetuned_emotion_en_5.2.0_3.0_1700450638630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_turkish_cased_finetuned_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|254.0 MB|
+
+## References
+
+https://huggingface.co/BenTata-86/distilbert-base-turkish-cased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_banking77_classification_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_banking77_classification_en.md
new file mode 100644
index 000000000000..05ad09685119
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_banking77_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_banking77_classification DistilBertForSequenceClassification from nickprock
+author: John Snow Labs
+name: distilbert_base_uncased_banking77_classification
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_banking77_classification` is a English model originally trained by nickprock.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_banking77_classification_en_5.2.0_3.0_1700443506614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_banking77_classification_en_5.2.0_3.0_1700443506614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_banking77_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/nickprock/distilbert-base-uncased-banking77-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_abdelkader_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_abdelkader_en.md
new file mode 100644
index 000000000000..40f86e3e13d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_abdelkader_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_abdelkader DistilBertForSequenceClassification from abdelkader
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_abdelkader
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_abdelkader` is a English model originally trained by abdelkader.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_abdelkader_en_5.2.0_3.0_1700445026621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_abdelkader_en_5.2.0_3.0_1700445026621.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_abdelkader|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/abdelkader/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_ashrielbrian_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_ashrielbrian_en.md
new file mode 100644
index 000000000000..b5b53e524ad0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_ashrielbrian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_ashrielbrian DistilBertForSequenceClassification from ashrielbrian
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_ashrielbrian
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_ashrielbrian` is a English model originally trained by ashrielbrian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ashrielbrian_en_5.2.0_3.0_1700482595650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ashrielbrian_en_5.2.0_3.0_1700482595650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_ashrielbrian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/ashrielbrian/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_bahushruth_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_bahushruth_en.md
new file mode 100644
index 000000000000..ac844e6858be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_bahushruth_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_bahushruth DistilBertForSequenceClassification from Bahushruth
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_bahushruth
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_bahushruth` is a English model originally trained by Bahushruth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_bahushruth_en_5.2.0_3.0_1700463176225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_bahushruth_en_5.2.0_3.0_1700463176225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_bahushruth|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Bahushruth/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_clisi2000_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_clisi2000_en.md
new file mode 100644
index 000000000000..bd1d6428724a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_clisi2000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_clisi2000 DistilBertForSequenceClassification from clisi2000
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_clisi2000
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_clisi2000` is a English model originally trained by clisi2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_clisi2000_en_5.2.0_3.0_1700450728235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_clisi2000_en_5.2.0_3.0_1700450728235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_clisi2000|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/clisi2000/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_ctojang_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_ctojang_en.md
new file mode 100644
index 000000000000..58e0169910a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_ctojang_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_ctojang DistilBertForSequenceClassification from ctojang
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_ctojang
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_ctojang` is a English model originally trained by ctojang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ctojang_en_5.2.0_3.0_1700497024654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_ctojang_en_5.2.0_3.0_1700497024654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_ctojang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/ctojang/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_dfsj_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_dfsj_en.md
new file mode 100644
index 000000000000..ae53c5b855d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_dfsj_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_dfsj DistilBertForSequenceClassification from dfsj
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_dfsj
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_dfsj` is a English model originally trained by dfsj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_dfsj_en_5.2.0_3.0_1700497969438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_dfsj_en_5.2.0_3.0_1700497969438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_dfsj|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/dfsj/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_dkoh12_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_dkoh12_en.md
new file mode 100644
index 000000000000..d589f68697a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_dkoh12_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_dkoh12 DistilBertForSequenceClassification from dkoh12
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_dkoh12
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_dkoh12` is a English model originally trained by dkoh12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_dkoh12_en_5.2.0_3.0_1700502673303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_dkoh12_en_5.2.0_3.0_1700502673303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_dkoh12|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/dkoh12/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_fieldms_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_fieldms_en.md
new file mode 100644
index 000000000000..c2fb0b08fad6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_fieldms_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_fieldms DistilBertForSequenceClassification from fieldms
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_fieldms
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_fieldms` is a English model originally trained by fieldms.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_fieldms_en_5.2.0_3.0_1700494088314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_fieldms_en_5.2.0_3.0_1700494088314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_fieldms|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/fieldms/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_hhffxx_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_hhffxx_en.md
new file mode 100644
index 000000000000..533f9acd62df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_hhffxx_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_hhffxx DistilBertForSequenceClassification from hhffxx
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_hhffxx
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_hhffxx` is a English model originally trained by hhffxx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_hhffxx_en_5.2.0_3.0_1700497762612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_hhffxx_en_5.2.0_3.0_1700497762612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_hhffxx|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/hhffxx/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_miyagawaorj_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_miyagawaorj_en.md
new file mode 100644
index 000000000000..a1c9d85721cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_miyagawaorj_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_miyagawaorj DistilBertForSequenceClassification from miyagawaorj
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_miyagawaorj
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_miyagawaorj` is a English model originally trained by miyagawaorj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_miyagawaorj_en_5.2.0_3.0_1700450096507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_miyagawaorj_en_5.2.0_3.0_1700450096507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_miyagawaorj|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/miyagawaorj/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_mj03_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_mj03_en.md
new file mode 100644
index 000000000000..0bdae28f3691
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_clinc_mj03_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_mj03 DistilBertForSequenceClassification from MJ03
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_mj03
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_mj03` is a English model originally trained by MJ03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_mj03_en_5.2.0_3.0_1700470594277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_mj03_en_5.2.0_3.0_1700470594277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_clinc_mj03|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/MJ03/distilbert-base-uncased-distilled-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_dtkd_clinc_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_dtkd_clinc_en.md
new file mode 100644
index 000000000000..95dda530046b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_dtkd_clinc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_dtkd_clinc DistilBertForSequenceClassification from Mor1998
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_dtkd_clinc
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_dtkd_clinc` is a English model originally trained by Mor1998.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_dtkd_clinc_en_5.2.0_3.0_1700451944431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_dtkd_clinc_en_5.2.0_3.0_1700451944431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_dtkd_clinc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Mor1998/distilbert-base-uncased-distilled-dtkd-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_en.md
new file mode 100644
index 000000000000..2af1844c06e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_distilled_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled DistilBertForSequenceClassification from roscoyoon
+author: John Snow Labs
+name: distilbert_base_uncased_distilled
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled` is a English model originally trained by roscoyoon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_en_5.2.0_3.0_1700497969467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_en_5.2.0_3.0_1700497969467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/roscoyoon/distilbert-base-uncased-distilled
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_emotion_finetuned_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_emotion_finetuned_en.md
new file mode 100644
index 000000000000..338452cd3f31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_emotion_finetuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_finetuned DistilBertForSequenceClassification from sssingh
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_finetuned
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_finetuned` is a English model originally trained by sssingh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_finetuned_en_5.2.0_3.0_1700462242299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_finetuned_en_5.2.0_3.0_1700462242299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sssingh/distilbert-base-uncased-emotion-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_emotion_ft_0416_land25_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_emotion_ft_0416_land25_en.md
new file mode 100644
index 000000000000..9b5b3fdc11c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_emotion_ft_0416_land25_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_ft_0416_land25 DistilBertForSequenceClassification from land25
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_ft_0416_land25
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_land25` is a English model originally trained by land25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_land25_en_5.2.0_3.0_1700491268353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_land25_en_5.2.0_3.0_1700491268353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_ft_0416_land25|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/land25/distilbert-base-uncased_emotion_ft_0416
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_emotion_nlp_with_transformers_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_emotion_nlp_with_transformers_en.md
new file mode 100644
index 000000000000..bf63bcda51a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_emotion_nlp_with_transformers_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_nlp_with_transformers DistilBertForSequenceClassification from pridaj
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_nlp_with_transformers
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_nlp_with_transformers` is a English model originally trained by pridaj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_nlp_with_transformers_en_5.2.0_3.0_1700471403897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_nlp_with_transformers_en_5.2.0_3.0_1700471403897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_nlp_with_transformers|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pridaj/distilbert-base-uncased-emotion-nlp-with-transformers
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v1_en.md
new file mode 100644
index 000000000000..affede4faaab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v1 DistilBertForSequenceClassification from hafidikhsan
+author: John Snow Labs
+name: distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v1` is a English model originally trained by hafidikhsan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v1_en_5.2.0_3.0_1700476229238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v1_en_5.2.0_3.0_1700476229238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_english_cefr_lexical_evaluation_dt_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/hafidikhsan/distilbert-base-uncased-english-cefr-lexical-evaluation-dt-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_final2_mnli_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_final2_mnli_en.md
new file mode 100644
index 000000000000..d681fd26fb5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_final2_mnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_final2_mnli DistilBertForSequenceClassification from charlemagne
+author: John Snow Labs
+name: distilbert_base_uncased_final2_mnli
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_final2_mnli` is a English model originally trained by charlemagne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_final2_mnli_en_5.2.0_3.0_1700465899341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_final2_mnli_en_5.2.0_3.0_1700465899341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_final2_mnli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/charlemagne/distilbert-base-uncased-final2-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fine_tuned_emotions_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fine_tuned_emotions_en.md
new file mode 100644
index 000000000000..2edf2e9c5d47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fine_tuned_emotions_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_fine_tuned_emotions DistilBertForSequenceClassification from adrianhenkel
+author: John Snow Labs
+name: distilbert_base_uncased_fine_tuned_emotions
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fine_tuned_emotions` is a English model originally trained by adrianhenkel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tuned_emotions_en_5.2.0_3.0_1700464917148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tuned_emotions_en_5.2.0_3.0_1700464917148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fine_tuned_emotions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/adrianhenkel/distilbert-base-uncased-fine-tuned-emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetunded_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetunded_emotion_en.md
new file mode 100644
index 000000000000..1f3becec98a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetunded_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetunded_emotion DistilBertForSequenceClassification from mgoudarz
+author: John Snow Labs
+name: distilbert_base_uncased_finetunded_emotion
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetunded_emotion` is a English model originally trained by mgoudarz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetunded_emotion_en_5.2.0_3.0_1700498928141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetunded_emotion_en_5.2.0_3.0_1700498928141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetunded_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mgoudarz/distilbert-base-uncased-finetunded-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_amazon_reviews_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_amazon_reviews_en.md
new file mode 100644
index 000000000000..c62d095dbe4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_amazon_reviews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_amazon_reviews DistilBertForSequenceClassification from amir7d0
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_amazon_reviews
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_amazon_reviews` is a English model originally trained by amir7d0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_reviews_en_5.2.0_3.0_1700440209511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_amazon_reviews_en_5.2.0_3.0_1700440209511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_amazon_reviews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/amir7d0/distilbert-base-uncased-finetuned-amazon-reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_as_sentences_sarahflan_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_as_sentences_sarahflan_en.md
new file mode 100644
index 000000000000..2a976948bead
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_as_sentences_sarahflan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_as_sentences_sarahflan DistilBertForSequenceClassification from sarahflan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_as_sentences_sarahflan
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_as_sentences_sarahflan` is a English model originally trained by sarahflan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_as_sentences_sarahflan_en_5.2.0_3.0_1700496171480.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_as_sentences_sarahflan_en_5.2.0_3.0_1700496171480.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_as_sentences_sarahflan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sarahflan/distilbert-base-uncased-finetuned-AS_sentences
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_bbc_news_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_bbc_news_en.md
new file mode 100644
index 000000000000..4c6ac65cd206
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_bbc_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_bbc_news DistilBertForSequenceClassification from nypnop
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_bbc_news
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_bbc_news` is a English model originally trained by nypnop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_bbc_news_en_5.2.0_3.0_1700459576889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_bbc_news_en_5.2.0_3.0_1700459576889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_bbc_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nypnop/distilbert-base-uncased-finetuned-bbc-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_akira10_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_akira10_en.md
new file mode 100644
index 000000000000..3191945af1f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_akira10_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_akira10 DistilBertForSequenceClassification from Akira10
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_akira10
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_akira10` is a English model originally trained by Akira10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_akira10_en_5.2.0_3.0_1700492995856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_akira10_en_5.2.0_3.0_1700492995856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_akira10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Akira10/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_almondpeanuts_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_almondpeanuts_en.md
new file mode 100644
index 000000000000..c6c32d8b689d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_almondpeanuts_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_almondpeanuts DistilBertForSequenceClassification from Almondpeanuts
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_almondpeanuts
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_almondpeanuts` is a English model originally trained by Almondpeanuts.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_almondpeanuts_en_5.2.0_3.0_1700461339069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_almondpeanuts_en_5.2.0_3.0_1700461339069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_almondpeanuts|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Almondpeanuts/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_amartyobanerjee_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_amartyobanerjee_en.md
new file mode 100644
index 000000000000..28bf3d153519
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_amartyobanerjee_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_amartyobanerjee DistilBertForSequenceClassification from amartyobanerjee
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_amartyobanerjee
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_amartyobanerjee` is a English model originally trained by amartyobanerjee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_amartyobanerjee_en_5.2.0_3.0_1700484054476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_amartyobanerjee_en_5.2.0_3.0_1700484054476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_amartyobanerjee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/amartyobanerjee/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_ashishbalhara_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_ashishbalhara_en.md
new file mode 100644
index 000000000000..81693c0bbf56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_ashishbalhara_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_ashishbalhara DistilBertForSequenceClassification from AshishBalhara
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_ashishbalhara
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_ashishbalhara` is a English model originally trained by AshishBalhara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ashishbalhara_en_5.2.0_3.0_1700486592198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_ashishbalhara_en_5.2.0_3.0_1700486592198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_ashishbalhara|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/AshishBalhara/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_cafbr_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_cafbr_en.md
new file mode 100644
index 000000000000..9304b56e36c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_cafbr_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_cafbr DistilBertForSequenceClassification from cafbr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_cafbr
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_cafbr` is a English model originally trained by cafbr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_cafbr_en_5.2.0_3.0_1700474220442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_cafbr_en_5.2.0_3.0_1700474220442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_cafbr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/cafbr/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_cataluna84_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_cataluna84_en.md
new file mode 100644
index 000000000000..10bc69684356
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_cataluna84_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_cataluna84 DistilBertForSequenceClassification from cataluna84
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_cataluna84
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_cataluna84` is a English model originally trained by cataluna84.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_cataluna84_en_5.2.0_3.0_1700447956985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_cataluna84_en_5.2.0_3.0_1700447956985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_cataluna84|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/cataluna84/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_chris_santiago_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_chris_santiago_en.md
new file mode 100644
index 000000000000..eed97206d321
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_chris_santiago_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_chris_santiago DistilBertForSequenceClassification from chris-santiago
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_chris_santiago
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_chris_santiago` is a English model originally trained by chris-santiago.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_chris_santiago_en_5.2.0_3.0_1700492160230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_chris_santiago_en_5.2.0_3.0_1700492160230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_chris_santiago|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/chris-santiago/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_cj_mills_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_cj_mills_en.md
new file mode 100644
index 000000000000..ea124598ecc5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_cj_mills_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_cj_mills DistilBertForSequenceClassification from cj-mills
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_cj_mills
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_cj_mills` is a English model originally trained by cj-mills.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_cj_mills_en_5.2.0_3.0_1700469719432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_cj_mills_en_5.2.0_3.0_1700469719432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_cj_mills|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/cj-mills/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_dongyeop_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_dongyeop_en.md
new file mode 100644
index 000000000000..3703662ee3da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_dongyeop_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_dongyeop DistilBertForSequenceClassification from Dongyeop
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_dongyeop
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_dongyeop` is a English model originally trained by Dongyeop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_dongyeop_en_5.2.0_3.0_1700462225465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_dongyeop_en_5.2.0_3.0_1700462225465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_dongyeop|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Dongyeop/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_frahman_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_frahman_en.md
new file mode 100644
index 000000000000..77b204754fe3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_frahman_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_frahman DistilBertForSequenceClassification from frahman
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_frahman
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_frahman` is a English model originally trained by frahman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_frahman_en_5.2.0_3.0_1700441707530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_frahman_en_5.2.0_3.0_1700441707530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_frahman|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/frahman/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_hli_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_hli_en.md
new file mode 100644
index 000000000000..00a983862eef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_hli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_hli DistilBertForSequenceClassification from hli
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_hli
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_hli` is a English model originally trained by hli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_hli_en_5.2.0_3.0_1700490833270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_hli_en_5.2.0_3.0_1700490833270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_hli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/hli/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_isaacp_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_isaacp_en.md
new file mode 100644
index 000000000000..a4b9b74c80c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_isaacp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_isaacp DistilBertForSequenceClassification from Isaacp
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_isaacp
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_isaacp` is a English model originally trained by Isaacp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_isaacp_en_5.2.0_3.0_1700456303230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_isaacp_en_5.2.0_3.0_1700456303230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_isaacp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Isaacp/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_jamie613_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_jamie613_en.md
new file mode 100644
index 000000000000..c666d3f6411b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_jamie613_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_jamie613 DistilBertForSequenceClassification from jamie613
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_jamie613
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_jamie613` is a English model originally trained by jamie613.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_jamie613_en_5.2.0_3.0_1700461339071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_jamie613_en_5.2.0_3.0_1700461339071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_jamie613|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/jamie613/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_jupitercoder_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_jupitercoder_en.md
new file mode 100644
index 000000000000..3c2753ff9e80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_jupitercoder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_jupitercoder DistilBertForSequenceClassification from jupitercoder
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_jupitercoder
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_jupitercoder` is a English model originally trained by jupitercoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_jupitercoder_en_5.2.0_3.0_1700466020225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_jupitercoder_en_5.2.0_3.0_1700466020225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_jupitercoder|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/jupitercoder/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_miyagawaorj_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_miyagawaorj_en.md
new file mode 100644
index 000000000000..092ecee873d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_miyagawaorj_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_miyagawaorj DistilBertForSequenceClassification from miyagawaorj
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_miyagawaorj
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_miyagawaorj` is a English model originally trained by miyagawaorj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_miyagawaorj_en_5.2.0_3.0_1700448965977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_miyagawaorj_en_5.2.0_3.0_1700448965977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_miyagawaorj|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/miyagawaorj/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_mj03_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_mj03_en.md
new file mode 100644
index 000000000000..e7767fa014bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_mj03_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_mj03 DistilBertForSequenceClassification from MJ03
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_mj03
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_mj03` is a English model originally trained by MJ03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_mj03_en_5.2.0_3.0_1700483004340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_mj03_en_5.2.0_3.0_1700483004340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_mj03|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/MJ03/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_reaverlee_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_reaverlee_en.md
new file mode 100644
index 000000000000..d270a8587e8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_reaverlee_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_reaverlee DistilBertForSequenceClassification from reaverlee
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_reaverlee
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_reaverlee` is a English model originally trained by reaverlee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_reaverlee_en_5.2.0_3.0_1700444072454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_reaverlee_en_5.2.0_3.0_1700444072454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_reaverlee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/reaverlee/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_robkayinto_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_robkayinto_en.md
new file mode 100644
index 000000000000..57e1da468d0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_robkayinto_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_robkayinto DistilBertForSequenceClassification from robkayinto
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_robkayinto
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_robkayinto` is a English model originally trained by robkayinto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_robkayinto_en_5.2.0_3.0_1700481640574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_robkayinto_en_5.2.0_3.0_1700481640574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_robkayinto|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/robkayinto/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_rootacess_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_rootacess_en.md
new file mode 100644
index 000000000000..86a5dd4079a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_rootacess_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_rootacess DistilBertForSequenceClassification from rootacess
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_rootacess
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_rootacess` is a English model originally trained by rootacess.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_rootacess_en_5.2.0_3.0_1700489103429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_rootacess_en_5.2.0_3.0_1700489103429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_rootacess|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/rootacess/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_songys_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_songys_en.md
new file mode 100644
index 000000000000..35d92a20455a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_songys_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_songys DistilBertForSequenceClassification from songys
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_songys
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_songys` is a English model originally trained by songys.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_songys_en_5.2.0_3.0_1700471389702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_songys_en_5.2.0_3.0_1700471389702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_songys|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/songys/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_sunoh_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_sunoh_en.md
new file mode 100644
index 000000000000..f108dadce554
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_sunoh_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_sunoh DistilBertForSequenceClassification from Sunoh
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_sunoh
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_sunoh` is a English model originally trained by Sunoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_sunoh_en_5.2.0_3.0_1700447084176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_sunoh_en_5.2.0_3.0_1700447084176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_sunoh|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/Sunoh/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_yemoncad_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_yemoncad_en.md
new file mode 100644
index 000000000000..f15025777ee0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_clinc_yemoncad_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_yemoncad DistilBertForSequenceClassification from yemoncad
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_yemoncad
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_yemoncad` is a English model originally trained by yemoncad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_yemoncad_en_5.2.0_3.0_1700475291246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_yemoncad_en_5.2.0_3.0_1700475291246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_yemoncad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/yemoncad/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_anirudh21_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_anirudh21_en.md
new file mode 100644
index 000000000000..e08e41bef3fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_anirudh21_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_anirudh21 DistilBertForSequenceClassification from anirudh21
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_anirudh21
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_anirudh21` is a English model originally trained by anirudh21.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_anirudh21_en_5.2.0_3.0_1700442804540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_anirudh21_en_5.2.0_3.0_1700442804540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_anirudh21|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/anirudh21/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_arahmi6_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_arahmi6_en.md
new file mode 100644
index 000000000000..3e4af9024ceb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_arahmi6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_arahmi6 DistilBertForSequenceClassification from arahmi6
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_arahmi6
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_arahmi6` is a English model originally trained by arahmi6.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_arahmi6_en_5.2.0_3.0_1700466030289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_arahmi6_en_5.2.0_3.0_1700466030289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_arahmi6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/arahmi6/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_arbazk_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_arbazk_en.md
new file mode 100644
index 000000000000..31e4530ef078
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_arbazk_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_arbazk DistilBertForSequenceClassification from arbazk
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_arbazk
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_arbazk` is a English model originally trained by arbazk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_arbazk_en_5.2.0_3.0_1700475219225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_arbazk_en_5.2.0_3.0_1700475219225.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_arbazk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/arbazk/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_blacktree_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_blacktree_en.md
new file mode 100644
index 000000000000..f1c66f4f1527
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_blacktree_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_blacktree DistilBertForSequenceClassification from blacktree
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_blacktree
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_blacktree` is a English model originally trained by blacktree.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_blacktree_en_5.2.0_3.0_1700498725927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_blacktree_en_5.2.0_3.0_1700498725927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_blacktree|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/blacktree/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_blizrys_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_blizrys_en.md
new file mode 100644
index 000000000000..41f32b85c706
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_blizrys_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_blizrys DistilBertForSequenceClassification from blizrys
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_blizrys
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_blizrys` is a English model originally trained by blizrys.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_blizrys_en_5.2.0_3.0_1700443333791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_blizrys_en_5.2.0_3.0_1700443333791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_blizrys|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/blizrys/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_bmp_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_bmp_en.md
new file mode 100644
index 000000000000..3907a34bf4cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_bmp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_bmp DistilBertForSequenceClassification from BMP
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_bmp
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_bmp` is a English model originally trained by BMP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bmp_en_5.2.0_3.0_1700482798424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_bmp_en_5.2.0_3.0_1700482798424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_bmp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BMP/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_charliemarx_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_charliemarx_en.md
new file mode 100644
index 000000000000..fd7f3d818fc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_charliemarx_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_charliemarx DistilBertForSequenceClassification from charliemarx
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_charliemarx
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_charliemarx` is a English model originally trained by charliemarx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_charliemarx_en_5.2.0_3.0_1700446117097.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_charliemarx_en_5.2.0_3.0_1700446117097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_charliemarx|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/charliemarx/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_cnu_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_cnu_en.md
new file mode 100644
index 000000000000..97d1147feffb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_cnu_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_cnu DistilBertForSequenceClassification from cnu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_cnu
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_cnu` is a English model originally trained by cnu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_cnu_en_5.2.0_3.0_1700440000182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_cnu_en_5.2.0_3.0_1700440000182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_cnu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cnu/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_fznmhmmd_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_fznmhmmd_en.md
new file mode 100644
index 000000000000..b3c22ec58c8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_fznmhmmd_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_fznmhmmd DistilBertForSequenceClassification from fznmhmmd
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_fznmhmmd
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_fznmhmmd` is a English model originally trained by fznmhmmd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fznmhmmd_en_5.2.0_3.0_1700454393138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_fznmhmmd_en_5.2.0_3.0_1700454393138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_fznmhmmd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/fznmhmmd/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_gracevonoiste_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_gracevonoiste_en.md
new file mode 100644
index 000000000000..4ca57e42aeb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_gracevonoiste_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_gracevonoiste DistilBertForSequenceClassification from Gracevonoiste
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_gracevonoiste
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_gracevonoiste` is a English model originally trained by Gracevonoiste.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_gracevonoiste_en_5.2.0_3.0_1700477712861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_gracevonoiste_en_5.2.0_3.0_1700477712861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_gracevonoiste|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Gracevonoiste/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_jimmyliao_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_jimmyliao_en.md
new file mode 100644
index 000000000000..22e6253fd217
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_jimmyliao_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_jimmyliao DistilBertForSequenceClassification from jimmyliao
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_jimmyliao
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_jimmyliao` is a English model originally trained by jimmyliao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jimmyliao_en_5.2.0_3.0_1700474146882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_jimmyliao_en_5.2.0_3.0_1700474146882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_jimmyliao|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/jimmyliao/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_keruizhao_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_keruizhao_en.md
new file mode 100644
index 000000000000..b9098a299b77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_keruizhao_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_keruizhao DistilBertForSequenceClassification from KeruiZhao
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_keruizhao
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_keruizhao` is a English model originally trained by KeruiZhao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_keruizhao_en_5.2.0_3.0_1700467054826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_keruizhao_en_5.2.0_3.0_1700467054826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_keruizhao|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/KeruiZhao/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_kgsteven_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_kgsteven_en.md
new file mode 100644
index 000000000000..0c35fc80f600
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_kgsteven_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_kgsteven DistilBertForSequenceClassification from KGsteven
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_kgsteven
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_kgsteven` is a English model originally trained by KGsteven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kgsteven_en_5.2.0_3.0_1700483418247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kgsteven_en_5.2.0_3.0_1700483418247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_kgsteven|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/KGsteven/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_kris666_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_kris666_en.md
new file mode 100644
index 000000000000..f3a19268ace3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_kris666_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_kris666 DistilBertForSequenceClassification from kris666
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_kris666
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_kris666` is a English model originally trained by kris666.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kris666_en_5.2.0_3.0_1700454722188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_kris666_en_5.2.0_3.0_1700454722188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_kris666|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kris666/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_mohammedbriman_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_mohammedbriman_en.md
new file mode 100644
index 000000000000..6b498e83f4ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_mohammedbriman_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_mohammedbriman DistilBertForSequenceClassification from mohammedbriman
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_mohammedbriman
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_mohammedbriman` is a English model originally trained by mohammedbriman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_mohammedbriman_en_5.2.0_3.0_1700473786223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_mohammedbriman_en_5.2.0_3.0_1700473786223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_mohammedbriman|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mohammedbriman/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_omaralsaabi_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_omaralsaabi_en.md
new file mode 100644
index 000000000000..9f25cdda4f81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_omaralsaabi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_omaralsaabi DistilBertForSequenceClassification from OmarAlsaabi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_omaralsaabi
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_omaralsaabi` is a English model originally trained by OmarAlsaabi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_omaralsaabi_en_5.2.0_3.0_1700464839630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_omaralsaabi_en_5.2.0_3.0_1700464839630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_omaralsaabi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/OmarAlsaabi/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_pooyaphoenix_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_pooyaphoenix_en.md
new file mode 100644
index 000000000000..4f441d4b27d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_pooyaphoenix_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_pooyaphoenix DistilBertForSequenceClassification from pooyaphoenix
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_pooyaphoenix
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_pooyaphoenix` is a English model originally trained by pooyaphoenix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_pooyaphoenix_en_5.2.0_3.0_1700457422507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_pooyaphoenix_en_5.2.0_3.0_1700457422507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_pooyaphoenix|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/pooyaphoenix/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_pranav1015_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_pranav1015_en.md
new file mode 100644
index 000000000000..82ba953f7cd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_pranav1015_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_pranav1015 DistilBertForSequenceClassification from pranav1015
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_pranav1015
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_pranav1015` is a English model originally trained by pranav1015.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_pranav1015_en_5.2.0_3.0_1700464142985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_pranav1015_en_5.2.0_3.0_1700464142985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_pranav1015|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/pranav1015/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_r10521708_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_r10521708_en.md
new file mode 100644
index 000000000000..277b1298dfca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_r10521708_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_r10521708 DistilBertForSequenceClassification from r10521708
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_r10521708
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_r10521708` is a English model originally trained by r10521708.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_r10521708_en_5.2.0_3.0_1700472264579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_r10521708_en_5.2.0_3.0_1700472264579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_r10521708|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/r10521708/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_robby1421_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_robby1421_en.md
new file mode 100644
index 000000000000..805491d2befa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_robby1421_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_robby1421 DistilBertForSequenceClassification from robby1421
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_robby1421
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_robby1421` is a English model originally trained by robby1421.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_robby1421_en_5.2.0_3.0_1700445112675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_robby1421_en_5.2.0_3.0_1700445112675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_robby1421|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/robby1421/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_rwang5688_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_rwang5688_en.md
new file mode 100644
index 000000000000..b7075d62825b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_rwang5688_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_rwang5688 DistilBertForSequenceClassification from rwang5688
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_rwang5688
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_rwang5688` is a English model originally trained by rwang5688.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rwang5688_en_5.2.0_3.0_1700447971646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_rwang5688_en_5.2.0_3.0_1700447971646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_rwang5688|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/rwang5688/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_shebna_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_shebna_en.md
new file mode 100644
index 000000000000..9dd834142c08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_shebna_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_shebna DistilBertForSequenceClassification from Shebna
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_shebna
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_shebna` is a English model originally trained by Shebna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_shebna_en_5.2.0_3.0_1700496092839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_shebna_en_5.2.0_3.0_1700496092839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_shebna|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Shebna/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_swang2000_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_swang2000_en.md
new file mode 100644
index 000000000000..95273faf090f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_swang2000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_swang2000 DistilBertForSequenceClassification from swang2000
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_swang2000
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_swang2000` is a English model originally trained by swang2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_swang2000_en_5.2.0_3.0_1700449192705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_swang2000_en_5.2.0_3.0_1700449192705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_swang2000|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/swang2000/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_v3_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_v3_en.md
new file mode 100644
index 000000000000..a4948bfdd077
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_v3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_v3 DistilBertForSequenceClassification from MGanesh29
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_v3
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_v3` is a English model originally trained by MGanesh29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_v3_en_5.2.0_3.0_1700469185311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_v3_en_5.2.0_3.0_1700469185311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_v3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MGanesh29/distilbert-base-uncased-finetuned-cola-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_zhanglu_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_zhanglu_en.md
new file mode 100644
index 000000000000..7d97bf36da91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_cola_zhanglu_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cola_zhanglu DistilBertForSequenceClassification from zhanglu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cola_zhanglu
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cola_zhanglu` is a English model originally trained by zhanglu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zhanglu_en_5.2.0_3.0_1700492994585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cola_zhanglu_en_5.2.0_3.0_1700492994585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cola_zhanglu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/zhanglu/distilbert-base-uncased-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_deepakrish_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_deepakrish_en.md
new file mode 100644
index 000000000000..1844ef479da4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_deepakrish_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_deepakrish DistilBertForSequenceClassification from DeepaKrish
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_deepakrish
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_deepakrish` is a English model originally trained by DeepaKrish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_deepakrish_en_5.2.0_3.0_1700452577420.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_deepakrish_en_5.2.0_3.0_1700452577420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_deepakrish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DeepaKrish/distilbert-base-uncased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion2_nickapch_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion2_nickapch_en.md
new file mode 100644
index 000000000000..46a2474c105c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion2_nickapch_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion2_nickapch DistilBertForSequenceClassification from nickapch
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion2_nickapch
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion2_nickapch` is a English model originally trained by nickapch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion2_nickapch_en_5.2.0_3.0_1700450300408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion2_nickapch_en_5.2.0_3.0_1700450300408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion2_nickapch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nickapch/distilbert-base-uncased-finetuned-emotion2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_2_ronnybehrens_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_2_ronnybehrens_en.md
new file mode 100644
index 000000000000..702324be5152
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_2_ronnybehrens_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_2_ronnybehrens DistilBertForSequenceClassification from ronnybehrens
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_2_ronnybehrens
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_2_ronnybehrens` is a English model originally trained by ronnybehrens.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_2_ronnybehrens_en_5.2.0_3.0_1700478683665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_2_ronnybehrens_en_5.2.0_3.0_1700478683665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_2_ronnybehrens|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ronnybehrens/distilbert-base-uncased-finetuned-emotion-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_abbas5253_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_abbas5253_en.md
new file mode 100644
index 000000000000..d8529b13def9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_abbas5253_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_abbas5253 DistilBertForSequenceClassification from abbas5253
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_abbas5253
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_abbas5253` is a English model originally trained by abbas5253.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abbas5253_en_5.2.0_3.0_1700486314965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abbas5253_en_5.2.0_3.0_1700486314965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_abbas5253|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abbas5253/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_adsjklfsd_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_adsjklfsd_en.md
new file mode 100644
index 000000000000..2b7dbb39536e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_adsjklfsd_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_adsjklfsd DistilBertForSequenceClassification from adsjklfsd
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_adsjklfsd
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_adsjklfsd` is a English model originally trained by adsjklfsd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_adsjklfsd_en_5.2.0_3.0_1700490337256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_adsjklfsd_en_5.2.0_3.0_1700490337256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_adsjklfsd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/adsjklfsd/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_akhild1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_akhild1_en.md
new file mode 100644
index 000000000000..db5a841cd57f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_akhild1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_akhild1 DistilBertForSequenceClassification from AkhilD1
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_akhild1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_akhild1` is a English model originally trained by AkhilD1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_akhild1_en_5.2.0_3.0_1700452883686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_akhild1_en_5.2.0_3.0_1700452883686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_akhild1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AkhilD1/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_al3ksandra_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_al3ksandra_en.md
new file mode 100644
index 000000000000..f466a118d441
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_al3ksandra_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_al3ksandra DistilBertForSequenceClassification from Al3ksandra
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_al3ksandra
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_al3ksandra` is a English model originally trained by Al3ksandra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_al3ksandra_en_5.2.0_3.0_1700491711410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_al3ksandra_en_5.2.0_3.0_1700491711410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_al3ksandra|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Al3ksandra/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_almondpeanuts_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_almondpeanuts_en.md
new file mode 100644
index 000000000000..546f14b0d8c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_almondpeanuts_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_almondpeanuts DistilBertForSequenceClassification from Almondpeanuts
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_almondpeanuts
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_almondpeanuts` is a English model originally trained by Almondpeanuts.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_almondpeanuts_en_5.2.0_3.0_1700500993583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_almondpeanuts_en_5.2.0_3.0_1700500993583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_almondpeanuts|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Almondpeanuts/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_amir36_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_amir36_en.md
new file mode 100644
index 000000000000..67c01c9252dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_amir36_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_amir36 DistilBertForSequenceClassification from amir36
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_amir36
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_amir36` is a English model originally trained by amir36.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_amir36_en_5.2.0_3.0_1700484186246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_amir36_en_5.2.0_3.0_1700484186246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_amir36|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/amir36/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_andyrasika_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_andyrasika_en.md
new file mode 100644
index 000000000000..ac162a3c4ba5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_andyrasika_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_andyrasika DistilBertForSequenceClassification from Andyrasika
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_andyrasika
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_andyrasika` is a English model originally trained by Andyrasika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andyrasika_en_5.2.0_3.0_1700448354467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andyrasika_en_5.2.0_3.0_1700448354467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_andyrasika|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Andyrasika/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ankit93_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ankit93_en.md
new file mode 100644
index 000000000000..74658de1f57f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ankit93_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ankit93 DistilBertForSequenceClassification from Ankit93
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ankit93
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ankit93` is a English model originally trained by Ankit93.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ankit93_en_5.2.0_3.0_1700467525422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ankit93_en_5.2.0_3.0_1700467525422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ankit93|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Ankit93/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_arnaudlauer_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_arnaudlauer_en.md
new file mode 100644
index 000000000000..ba5f227f6884
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_arnaudlauer_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_arnaudlauer DistilBertForSequenceClassification from arnaudlauer
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_arnaudlauer
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_arnaudlauer` is a English model originally trained by arnaudlauer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_arnaudlauer_en_5.2.0_3.0_1700481960265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_arnaudlauer_en_5.2.0_3.0_1700481960265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_arnaudlauer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/arnaudlauer/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_arned_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_arned_en.md
new file mode 100644
index 000000000000..72ba09d72229
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_arned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_arned DistilBertForSequenceClassification from ArneD
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_arned
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_arned` is a English model originally trained by ArneD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_arned_en_5.2.0_3.0_1700472264528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_arned_en_5.2.0_3.0_1700472264528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_arned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ArneD/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ashrielbrian_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ashrielbrian_en.md
new file mode 100644
index 000000000000..86b365008b78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ashrielbrian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ashrielbrian DistilBertForSequenceClassification from ashrielbrian
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ashrielbrian
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ashrielbrian` is a English model originally trained by ashrielbrian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ashrielbrian_en_5.2.0_3.0_1700497969490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ashrielbrian_en_5.2.0_3.0_1700497969490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ashrielbrian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ashrielbrian/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_bobospark_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_bobospark_en.md
new file mode 100644
index 000000000000..ddeb1ee7e818
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_bobospark_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_bobospark DistilBertForSequenceClassification from Bobospark
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_bobospark
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_bobospark` is a English model originally trained by Bobospark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bobospark_en_5.2.0_3.0_1700493964980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_bobospark_en_5.2.0_3.0_1700493964980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_bobospark|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Bobospark/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_butchland_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_butchland_en.md
new file mode 100644
index 000000000000..0aecb7f6fc4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_butchland_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_butchland DistilBertForSequenceClassification from butchland
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_butchland
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_butchland` is a English model originally trained by butchland.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_butchland_en_5.2.0_3.0_1700499854811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_butchland_en_5.2.0_3.0_1700499854811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_butchland|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/butchland/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_carmeco_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_carmeco_en.md
new file mode 100644
index 000000000000..2c90816a9e17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_carmeco_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_carmeco DistilBertForSequenceClassification from carmeco
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_carmeco
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_carmeco` is a English model originally trained by carmeco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carmeco_en_5.2.0_3.0_1700502670818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_carmeco_en_5.2.0_3.0_1700502670818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_carmeco|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/carmeco/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cdinh2022_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cdinh2022_en.md
new file mode 100644
index 000000000000..c4c62da5972f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cdinh2022_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cdinh2022 DistilBertForSequenceClassification from cdinh2022
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cdinh2022
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cdinh2022` is a English model originally trained by cdinh2022.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cdinh2022_en_5.2.0_3.0_1700486213446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cdinh2022_en_5.2.0_3.0_1700486213446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cdinh2022|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cdinh2022/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_chaewonlee_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_chaewonlee_en.md
new file mode 100644
index 000000000000..c53a5b4c597f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_chaewonlee_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_chaewonlee DistilBertForSequenceClassification from chaewonlee
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_chaewonlee
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_chaewonlee` is a English model originally trained by chaewonlee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_chaewonlee_en_5.2.0_3.0_1700480526393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_chaewonlee_en_5.2.0_3.0_1700480526393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_chaewonlee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/chaewonlee/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_charlieoneill_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_charlieoneill_en.md
new file mode 100644
index 000000000000..c0904d8b71e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_charlieoneill_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_charlieoneill DistilBertForSequenceClassification from charlieoneill
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_charlieoneill
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_charlieoneill` is a English model originally trained by charlieoneill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_charlieoneill_en_5.2.0_3.0_1700498928031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_charlieoneill_en_5.2.0_3.0_1700498928031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_charlieoneill|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/charlieoneill/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cj_mills_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cj_mills_en.md
new file mode 100644
index 000000000000..12b644d51012
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cj_mills_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cj_mills DistilBertForSequenceClassification from cj-mills
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cj_mills
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cj_mills` is a English model originally trained by cj-mills.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cj_mills_en_5.2.0_3.0_1700487586667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cj_mills_en_5.2.0_3.0_1700487586667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cj_mills|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cj-mills/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cjbarrie_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cjbarrie_en.md
new file mode 100644
index 000000000000..dd0c19ab5c73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cjbarrie_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cjbarrie DistilBertForSequenceClassification from cjbarrie
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cjbarrie
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cjbarrie` is a English model originally trained by cjbarrie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cjbarrie_en_5.2.0_3.0_1700500295248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cjbarrie_en_5.2.0_3.0_1700500295248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cjbarrie|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cjbarrie/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cjdentra_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cjdentra_en.md
new file mode 100644
index 000000000000..c3e9f28ad3d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cjdentra_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cjdentra DistilBertForSequenceClassification from cjdentra
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cjdentra
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cjdentra` is a English model originally trained by cjdentra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cjdentra_en_5.2.0_3.0_1700490165789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cjdentra_en_5.2.0_3.0_1700490165789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cjdentra|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cjdentra/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cmdshiftenter_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cmdshiftenter_en.md
new file mode 100644
index 000000000000..cf2a194087ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cmdshiftenter_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cmdshiftenter DistilBertForSequenceClassification from cmdshiftenter
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cmdshiftenter
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cmdshiftenter` is a English model originally trained by cmdshiftenter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cmdshiftenter_en_5.2.0_3.0_1700486658016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cmdshiftenter_en_5.2.0_3.0_1700486658016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cmdshiftenter|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cmdshiftenter/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_codefactory4791_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_codefactory4791_en.md
new file mode 100644
index 000000000000..ce623512c538
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_codefactory4791_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_codefactory4791 DistilBertForSequenceClassification from codefactory4791
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_codefactory4791
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_codefactory4791` is a English model originally trained by codefactory4791.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_codefactory4791_en_5.2.0_3.0_1700488848231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_codefactory4791_en_5.2.0_3.0_1700488848231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_codefactory4791|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/codefactory4791/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cole_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cole_en.md
new file mode 100644
index 000000000000..7da6f48b4618
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_cole_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cole DistilBertForSequenceClassification from Cole
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cole
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cole` is a English model originally trained by Cole.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cole_en_5.2.0_3.0_1700495089686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cole_en_5.2.0_3.0_1700495089686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cole|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Cole/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_corgi777_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_corgi777_en.md
new file mode 100644
index 000000000000..090e454012e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_corgi777_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_corgi777 DistilBertForSequenceClassification from corgi777
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_corgi777
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_corgi777` is a English model originally trained by corgi777.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_corgi777_en_5.2.0_3.0_1700460471006.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_corgi777_en_5.2.0_3.0_1700460471006.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_corgi777|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/corgi777/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_dhehun_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_dhehun_en.md
new file mode 100644
index 000000000000..e0c2238bc27e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_dhehun_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_dhehun DistilBertForSequenceClassification from DheHun
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_dhehun
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dhehun` is a English model originally trained by DheHun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dhehun_en_5.2.0_3.0_1700480312018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dhehun_en_5.2.0_3.0_1700480312018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_dhehun|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DheHun/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_dongyeop_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_dongyeop_en.md
new file mode 100644
index 000000000000..b4191ba51ba6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_dongyeop_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_dongyeop DistilBertForSequenceClassification from Dongyeop
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_dongyeop
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_dongyeop` is a English model originally trained by Dongyeop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dongyeop_en_5.2.0_3.0_1700459390726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_dongyeop_en_5.2.0_3.0_1700459390726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_dongyeop|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Dongyeop/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_duytuan_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_duytuan_en.md
new file mode 100644
index 000000000000..e921966e47a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_duytuan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_duytuan DistilBertForSequenceClassification from DuyTuan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_duytuan
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_duytuan` is a English model originally trained by DuyTuan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duytuan_en_5.2.0_3.0_1700479330683.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_duytuan_en_5.2.0_3.0_1700479330683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_duytuan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DuyTuan/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ehanj_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ehanj_en.md
new file mode 100644
index 000000000000..863986b33fa3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ehanj_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ehanj DistilBertForSequenceClassification from ehanJ
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ehanj
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ehanj` is a English model originally trained by ehanJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ehanj_en_5.2.0_3.0_1700478193454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ehanj_en_5.2.0_3.0_1700478193454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ehanj|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ehanJ/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_goldenk_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_goldenk_en.md
new file mode 100644
index 000000000000..3ebdaf8fe6f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_goldenk_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_goldenk DistilBertForSequenceClassification from goldenk
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_goldenk
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_goldenk` is a English model originally trained by goldenk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_goldenk_en_5.2.0_3.0_1700467054833.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_goldenk_en_5.2.0_3.0_1700467054833.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_goldenk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/goldenk/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_impesalobo431_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_impesalobo431_en.md
new file mode 100644
index 000000000000..f4ba88172d43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_impesalobo431_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_impesalobo431 DistilBertForSequenceClassification from impesalobo431
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_impesalobo431
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_impesalobo431` is a English model originally trained by impesalobo431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_impesalobo431_en_5.2.0_3.0_1700499991204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_impesalobo431_en_5.2.0_3.0_1700499991204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_impesalobo431|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/impesalobo431/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jamesg_337_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jamesg_337_en.md
new file mode 100644
index 000000000000..567719367ef4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jamesg_337_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jamesg_337 DistilBertForSequenceClassification from JamesG-337
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jamesg_337
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jamesg_337` is a English model originally trained by JamesG-337.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jamesg_337_en_5.2.0_3.0_1700454606940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jamesg_337_en_5.2.0_3.0_1700454606940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jamesg_337|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JamesG-337/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jb723_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jb723_en.md
new file mode 100644
index 000000000000..01670dfb7cee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jb723_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jb723 DistilBertForSequenceClassification from jb723
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jb723
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jb723` is a English model originally trained by jb723.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jb723_en_5.2.0_3.0_1700502675858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jb723_en_5.2.0_3.0_1700502675858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jb723|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jb723/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jhn9803_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jhn9803_en.md
new file mode 100644
index 000000000000..d51d5aa4f361
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jhn9803_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jhn9803 DistilBertForSequenceClassification from jhn9803
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jhn9803
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jhn9803` is a English model originally trained by jhn9803.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jhn9803_en_5.2.0_3.0_1700487096432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jhn9803_en_5.2.0_3.0_1700487096432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jhn9803|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jhn9803/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jo_kwsm_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jo_kwsm_en.md
new file mode 100644
index 000000000000..d043983fb0e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jo_kwsm_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jo_kwsm DistilBertForSequenceClassification from jo-kwsm
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jo_kwsm
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jo_kwsm` is a English model originally trained by jo-kwsm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jo_kwsm_en_5.2.0_3.0_1700453594060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jo_kwsm_en_5.2.0_3.0_1700453594060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jo_kwsm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jo-kwsm/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_joys000_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_joys000_en.md
new file mode 100644
index 000000000000..548887f23370
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_joys000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_joys000 DistilBertForSequenceClassification from joys000
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_joys000
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_joys000` is a English model originally trained by joys000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_joys000_en_5.2.0_3.0_1700458005390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_joys000_en_5.2.0_3.0_1700458005390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_joys000|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/joys000/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jslowik_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jslowik_en.md
new file mode 100644
index 000000000000..4562718cf2df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_jslowik_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jslowik DistilBertForSequenceClassification from jslowik
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jslowik
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_jslowik` is a English model originally trained by jslowik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jslowik_en_5.2.0_3.0_1700488435950.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jslowik_en_5.2.0_3.0_1700488435950.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_jslowik|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jslowik/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_kawauso_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_kawauso_en.md
new file mode 100644
index 000000000000..a72717fdb509
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_kawauso_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kawauso DistilBertForSequenceClassification from kawauso
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kawauso
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kawauso` is a English model originally trained by kawauso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kawauso_en_5.2.0_3.0_1700484186179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kawauso_en_5.2.0_3.0_1700484186179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kawauso|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kawauso/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_kzk_kbys_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_kzk_kbys_en.md
new file mode 100644
index 000000000000..a142123e5db2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_kzk_kbys_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kzk_kbys DistilBertForSequenceClassification from kzk-kbys
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kzk_kbys
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kzk_kbys` is a English model originally trained by kzk-kbys.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kzk_kbys_en_5.2.0_3.0_1700489328493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kzk_kbys_en_5.2.0_3.0_1700489328493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kzk_kbys|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kzk-kbys/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_marcolin_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_marcolin_en.md
new file mode 100644
index 000000000000..68be67570749
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_marcolin_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_marcolin DistilBertForSequenceClassification from marcolin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_marcolin
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_marcolin` is a English model originally trained by marcolin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_marcolin_en_5.2.0_3.0_1700474098442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_marcolin_en_5.2.0_3.0_1700474098442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_marcolin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/marcolin/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_matorus_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_matorus_en.md
new file mode 100644
index 000000000000..0aca1b44c28c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_matorus_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_matorus DistilBertForSequenceClassification from matorus
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_matorus
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_matorus` is a English model originally trained by matorus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_matorus_en_5.2.0_3.0_1700464065980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_matorus_en_5.2.0_3.0_1700464065980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_matorus|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/matorus/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_mattcalhoun1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_mattcalhoun1_en.md
new file mode 100644
index 000000000000..593db9b9e81f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_mattcalhoun1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_mattcalhoun1 DistilBertForSequenceClassification from mattcalhoun1
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_mattcalhoun1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mattcalhoun1` is a English model originally trained by mattcalhoun1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mattcalhoun1_en_5.2.0_3.0_1700500851427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mattcalhoun1_en_5.2.0_3.0_1700500851427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_mattcalhoun1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mattcalhoun1/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_maxbarshay_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_maxbarshay_en.md
new file mode 100644
index 000000000000..9e5cda441802
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_maxbarshay_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_maxbarshay DistilBertForSequenceClassification from maxbarshay
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_maxbarshay
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_maxbarshay` is a English model originally trained by maxbarshay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maxbarshay_en_5.2.0_3.0_1700460229236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maxbarshay_en_5.2.0_3.0_1700460229236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_maxbarshay|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/maxbarshay/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_maxhilsdorf_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_maxhilsdorf_en.md
new file mode 100644
index 000000000000..f72c99f2b021
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_maxhilsdorf_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_maxhilsdorf DistilBertForSequenceClassification from maxhilsdorf
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_maxhilsdorf
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_maxhilsdorf` is a English model originally trained by maxhilsdorf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maxhilsdorf_en_5.2.0_3.0_1700499380711.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maxhilsdorf_en_5.2.0_3.0_1700499380711.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_maxhilsdorf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/maxhilsdorf/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_medium_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_medium_en.md
new file mode 100644
index 000000000000..553668a1925f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_medium_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_medium DistilBertForSequenceClassification from grantsl
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_medium
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_medium` is a English model originally trained by grantsl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_medium_en_5.2.0_3.0_1700477712871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_medium_en_5.2.0_3.0_1700477712871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_medium|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/grantsl/distilbert-base-uncased-finetuned-emotion-medium
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_moghis_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_moghis_en.md
new file mode 100644
index 000000000000..1d1a3a8ac530
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_moghis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_moghis DistilBertForSequenceClassification from moghis
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_moghis
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_moghis` is a English model originally trained by moghis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_moghis_en_5.2.0_3.0_1700455374047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_moghis_en_5.2.0_3.0_1700455374047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_moghis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/moghis/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_momtaro_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_momtaro_en.md
new file mode 100644
index 000000000000..89cd76a20469
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_momtaro_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_momtaro DistilBertForSequenceClassification from momtaro
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_momtaro
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_momtaro` is a English model originally trained by momtaro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_momtaro_en_5.2.0_3.0_1700476395835.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_momtaro_en_5.2.0_3.0_1700476395835.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_momtaro|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/momtaro/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_monaf3_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_monaf3_en.md
new file mode 100644
index 000000000000..085bb431fe00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_monaf3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_monaf3 DistilBertForSequenceClassification from monaf3
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_monaf3
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_monaf3` is a English model originally trained by monaf3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_monaf3_en_5.2.0_3.0_1700439068410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_monaf3_en_5.2.0_3.0_1700439068410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_monaf3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/monaf3/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_moutainjump_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_moutainjump_en.md
new file mode 100644
index 000000000000..bb61ba5d7370
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_moutainjump_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_moutainjump DistilBertForSequenceClassification from MoutainJump
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_moutainjump
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_moutainjump` is a English model originally trained by MoutainJump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_moutainjump_en_5.2.0_3.0_1700473233535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_moutainjump_en_5.2.0_3.0_1700473233535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_moutainjump|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MoutainJump/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_nanunsaram_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_nanunsaram_en.md
new file mode 100644
index 000000000000..275bef3fd480
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_nanunsaram_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nanunsaram DistilBertForSequenceClassification from nanunsaram
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nanunsaram
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nanunsaram` is a English model originally trained by nanunsaram.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nanunsaram_en_5.2.0_3.0_1700440078297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nanunsaram_en_5.2.0_3.0_1700440078297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_nanunsaram|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nanunsaram/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_naomiyjchen_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_naomiyjchen_en.md
new file mode 100644
index 000000000000..429f4b1407d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_naomiyjchen_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_naomiyjchen DistilBertForSequenceClassification from naomiyjchen
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_naomiyjchen
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_naomiyjchen` is a English model originally trained by naomiyjchen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_naomiyjchen_en_5.2.0_3.0_1700485222712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_naomiyjchen_en_5.2.0_3.0_1700485222712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_naomiyjchen|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/naomiyjchen/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_nickovchinnikov_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_nickovchinnikov_en.md
new file mode 100644
index 000000000000..901a8bac31a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_nickovchinnikov_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nickovchinnikov DistilBertForSequenceClassification from nickovchinnikov
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nickovchinnikov
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nickovchinnikov` is a English model originally trained by nickovchinnikov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nickovchinnikov_en_5.2.0_3.0_1700496977753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nickovchinnikov_en_5.2.0_3.0_1700496977753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_nickovchinnikov|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nickovchinnikov/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_nisimura_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_nisimura_en.md
new file mode 100644
index 000000000000..47e2ab66714e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_nisimura_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nisimura DistilBertForSequenceClassification from nisimura
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nisimura
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nisimura` is a English model originally trained by nisimura.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nisimura_en_5.2.0_3.0_1700464996076.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nisimura_en_5.2.0_3.0_1700464996076.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_nisimura|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nisimura/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_novarac23_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_novarac23_en.md
new file mode 100644
index 000000000000..df64a6f74006
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_novarac23_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_novarac23 DistilBertForSequenceClassification from novarac23
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_novarac23
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_novarac23` is a English model originally trained by novarac23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_novarac23_en_5.2.0_3.0_1700480146750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_novarac23_en_5.2.0_3.0_1700480146750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_novarac23|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/novarac23/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_occupy1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_occupy1_en.md
new file mode 100644
index 000000000000..df180924a326
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_occupy1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_occupy1 DistilBertForSequenceClassification from occupy1
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_occupy1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_occupy1` is a English model originally trained by occupy1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_occupy1_en_5.2.0_3.0_1700441857042.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_occupy1_en_5.2.0_3.0_1700441857042.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_occupy1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/occupy1/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_okep_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_okep_en.md
new file mode 100644
index 000000000000..2bda8a5d1fdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_okep_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_okep DistilBertForSequenceClassification from okep
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_okep
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_okep` is a English model originally trained by okep.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_okep_en_5.2.0_3.0_1700495089466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_okep_en_5.2.0_3.0_1700495089466.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_okep|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/okep/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_oknashar_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_oknashar_en.md
new file mode 100644
index 000000000000..fce4a9e92b78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_oknashar_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_oknashar DistilBertForSequenceClassification from oknashar
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_oknashar
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_oknashar` is a English model originally trained by oknashar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_oknashar_en_5.2.0_3.0_1700439106483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_oknashar_en_5.2.0_3.0_1700439106483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_oknashar|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/oknashar/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_omogo_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_omogo_en.md
new file mode 100644
index 000000000000..e4770c05c51e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_omogo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_omogo DistilBertForSequenceClassification from Omogo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_omogo
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_omogo` is a English model originally trained by Omogo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_omogo_en_5.2.0_3.0_1700451078739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_omogo_en_5.2.0_3.0_1700451078739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_omogo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Omogo/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_parnyanp_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_parnyanp_en.md
new file mode 100644
index 000000000000..ae470e839708
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_parnyanp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_parnyanp DistilBertForSequenceClassification from parnyanp
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_parnyanp
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_parnyanp` is a English model originally trained by parnyanp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_parnyanp_en_5.2.0_3.0_1700496010721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_parnyanp_en_5.2.0_3.0_1700496010721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_parnyanp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/parnyanp/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_patnelt60_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_patnelt60_en.md
new file mode 100644
index 000000000000..b5dd6e27fc81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_patnelt60_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_patnelt60 DistilBertForSequenceClassification from patnelt60
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_patnelt60
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_patnelt60` is a English model originally trained by patnelt60.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_patnelt60_en_5.2.0_3.0_1700501731189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_patnelt60_en_5.2.0_3.0_1700501731189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_patnelt60|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/patnelt60/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_pattkopp_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_pattkopp_en.md
new file mode 100644
index 000000000000..427194c12227
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_pattkopp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_pattkopp DistilBertForSequenceClassification from Pattkopp
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_pattkopp
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_pattkopp` is a English model originally trained by Pattkopp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pattkopp_en_5.2.0_3.0_1700499279179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pattkopp_en_5.2.0_3.0_1700499279179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_pattkopp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Pattkopp/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_pjheslin_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_pjheslin_en.md
new file mode 100644
index 000000000000..f750dd17d3bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_pjheslin_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_pjheslin DistilBertForSequenceClassification from pjheslin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_pjheslin
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_pjheslin` is a English model originally trained by pjheslin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pjheslin_en_5.2.0_3.0_1700456337917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_pjheslin_en_5.2.0_3.0_1700456337917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_pjheslin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pjheslin/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_playdev_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_playdev_en.md
new file mode 100644
index 000000000000..b6aa7b9ee80d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_playdev_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_playdev DistilBertForSequenceClassification from PlayDev
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_playdev
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_playdev` is a English model originally trained by PlayDev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_playdev_en_5.2.0_3.0_1700448117009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_playdev_en_5.2.0_3.0_1700448117009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_playdev|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/PlayDev/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_poojitha_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_poojitha_en.md
new file mode 100644
index 000000000000..a950eb52f475
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_poojitha_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_poojitha DistilBertForSequenceClassification from Poojitha
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_poojitha
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_poojitha` is a English model originally trained by Poojitha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_poojitha_en_5.2.0_3.0_1700494313676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_poojitha_en_5.2.0_3.0_1700494313676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_poojitha|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Poojitha/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_prinernian_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_prinernian_en.md
new file mode 100644
index 000000000000..179fd8c5eba9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_prinernian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_prinernian DistilBertForSequenceClassification from Prinernian
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_prinernian
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_prinernian` is a English model originally trained by Prinernian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_prinernian_en_5.2.0_3.0_1700448822975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_prinernian_en_5.2.0_3.0_1700448822975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_prinernian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Prinernian/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_psrohith98_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_psrohith98_en.md
new file mode 100644
index 000000000000..a854c7026ef1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_psrohith98_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_psrohith98 DistilBertForSequenceClassification from psrohith98
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_psrohith98
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_psrohith98` is a English model originally trained by psrohith98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_psrohith98_en_5.2.0_3.0_1700476229579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_psrohith98_en_5.2.0_3.0_1700476229579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_psrohith98|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/psrohith98/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_r45289_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_r45289_en.md
new file mode 100644
index 000000000000..dac84d2d3ff9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_r45289_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_r45289 DistilBertForSequenceClassification from r45289
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_r45289
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_r45289` is a English model originally trained by r45289.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_r45289_en_5.2.0_3.0_1700478716439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_r45289_en_5.2.0_3.0_1700478716439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_r45289|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/r45289/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_raghuramkol_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_raghuramkol_en.md
new file mode 100644
index 000000000000..5fecb7391820
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_raghuramkol_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_raghuramkol DistilBertForSequenceClassification from RaghuramKol
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_raghuramkol
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_raghuramkol` is a English model originally trained by RaghuramKol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_raghuramkol_en_5.2.0_3.0_1700500925741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_raghuramkol_en_5.2.0_3.0_1700500925741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_raghuramkol|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RaghuramKol/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ramu_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ramu_en.md
new file mode 100644
index 000000000000..d248546a012a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_ramu_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ramu DistilBertForSequenceClassification from Ramu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ramu
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ramu` is a English model originally trained by Ramu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ramu_en_5.2.0_3.0_1700498928050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ramu_en_5.2.0_3.0_1700498928050.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ramu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Ramu/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_riho1710_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_riho1710_en.md
new file mode 100644
index 000000000000..9bf3ce9b703a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_riho1710_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_riho1710 DistilBertForSequenceClassification from riho1710
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_riho1710
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_riho1710` is a English model originally trained by riho1710.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_riho1710_en_5.2.0_3.0_1700444218752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_riho1710_en_5.2.0_3.0_1700444218752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_riho1710|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/riho1710/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_roxanmlr_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_roxanmlr_en.md
new file mode 100644
index 000000000000..24a430a94b06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_roxanmlr_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_roxanmlr DistilBertForSequenceClassification from roxanmlr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_roxanmlr
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_roxanmlr` is a English model originally trained by roxanmlr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_roxanmlr_en_5.2.0_3.0_1700501730221.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_roxanmlr_en_5.2.0_3.0_1700501730221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_roxanmlr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/roxanmlr/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_sarunyusst_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_sarunyusst_en.md
new file mode 100644
index 000000000000..cee9ac468f6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_sarunyusst_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sarunyusst DistilBertForSequenceClassification from sarunyusst
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sarunyusst
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sarunyusst` is a English model originally trained by sarunyusst.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sarunyusst_en_5.2.0_3.0_1700468202452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sarunyusst_en_5.2.0_3.0_1700468202452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sarunyusst|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sarunyusst/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_selimsametoglu_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_selimsametoglu_en.md
new file mode 100644
index 000000000000..6d45c9a1b904
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_selimsametoglu_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_selimsametoglu DistilBertForSequenceClassification from selimsametoglu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_selimsametoglu
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_selimsametoglu` is a English model originally trained by selimsametoglu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_selimsametoglu_en_5.2.0_3.0_1700471301515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_selimsametoglu_en_5.2.0_3.0_1700471301515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_selimsametoglu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/selimsametoglu/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_skr1125_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_skr1125_en.md
new file mode 100644
index 000000000000..5cfc267a9259
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_skr1125_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_skr1125 DistilBertForSequenceClassification from skr1125
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_skr1125
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_skr1125` is a English model originally trained by skr1125.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skr1125_en_5.2.0_3.0_1700479598297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_skr1125_en_5.2.0_3.0_1700479598297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_skr1125|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/skr1125/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_smallsuper_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_smallsuper_en.md
new file mode 100644
index 000000000000..ef136ca68f77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_smallsuper_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_smallsuper DistilBertForSequenceClassification from smallsuper
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_smallsuper
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_smallsuper` is a English model originally trained by smallsuper.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_smallsuper_en_5.2.0_3.0_1700485222689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_smallsuper_en_5.2.0_3.0_1700485222689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_smallsuper|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/smallsuper/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_srosy_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_srosy_en.md
new file mode 100644
index 000000000000..47eee25a88f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_srosy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_srosy DistilBertForSequenceClassification from srosy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_srosy
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_srosy` is a English model originally trained by srosy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_srosy_en_5.2.0_3.0_1700441114688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_srosy_en_5.2.0_3.0_1700441114688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_srosy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/srosy/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_sudheer997_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_sudheer997_en.md
new file mode 100644
index 000000000000..d4bd36d68bd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_sudheer997_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sudheer997 DistilBertForSequenceClassification from sudheer997
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sudheer997
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_sudheer997` is a English model originally trained by sudheer997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sudheer997_en_5.2.0_3.0_1700470594261.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sudheer997_en_5.2.0_3.0_1700470594261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sudheer997|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sudheer997/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_swetava_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_swetava_en.md
new file mode 100644
index 000000000000..5f4be3cf4e8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_swetava_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_swetava DistilBertForSequenceClassification from swetava
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_swetava
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_swetava` is a English model originally trained by swetava.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_swetava_en_5.2.0_3.0_1700470204358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_swetava_en_5.2.0_3.0_1700470204358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_swetava|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/swetava/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_the_fanta_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_the_fanta_en.md
new file mode 100644
index 000000000000..9057fbfec371
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_the_fanta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_the_fanta DistilBertForSequenceClassification from The-Fanta
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_the_fanta
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_the_fanta` is a English model originally trained by The-Fanta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_the_fanta_en_5.2.0_3.0_1700480525974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_the_fanta_en_5.2.0_3.0_1700480525974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_the_fanta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/The-Fanta/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_vedantam_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_vedantam_en.md
new file mode 100644
index 000000000000..b9633e3c2b96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_vedantam_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_vedantam DistilBertForSequenceClassification from vedantam
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_vedantam
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_vedantam` is a English model originally trained by vedantam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vedantam_en_5.2.0_3.0_1700501666782.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_vedantam_en_5.2.0_3.0_1700501666782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_vedantam|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vedantam/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_wypoon_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_wypoon_en.md
new file mode 100644
index 000000000000..c2154b0bf31e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_wypoon_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_wypoon DistilBertForSequenceClassification from wypoon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_wypoon
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wypoon` is a English model originally trained by wypoon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wypoon_en_5.2.0_3.0_1700468647011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wypoon_en_5.2.0_3.0_1700468647011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_wypoon|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wypoon/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_xavixva_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_xavixva_en.md
new file mode 100644
index 000000000000..13df3bc4f3c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_xavixva_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_xavixva DistilBertForSequenceClassification from XaviXva
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_xavixva
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_xavixva` is a English model originally trained by XaviXva.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_xavixva_en_5.2.0_3.0_1700488001875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_xavixva_en_5.2.0_3.0_1700488001875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_xavixva|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/XaviXva/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_yasnunsal_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_yasnunsal_en.md
new file mode 100644
index 000000000000..6a4da9f6bac9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_yasnunsal_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_yasnunsal DistilBertForSequenceClassification from yasnunsal
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_yasnunsal
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yasnunsal` is a English model originally trained by yasnunsal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yasnunsal_en_5.2.0_3.0_1700491268271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yasnunsal_en_5.2.0_3.0_1700491268271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_yasnunsal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yasnunsal/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_yokoe_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_yokoe_en.md
new file mode 100644
index 000000000000..bfefea830a96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_yokoe_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_yokoe DistilBertForSequenceClassification from yokoe
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_yokoe
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yokoe` is a English model originally trained by yokoe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yokoe_en_5.2.0_3.0_1700488436007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yokoe_en_5.2.0_3.0_1700488436007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_yokoe|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yokoe/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_yumasaito_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_yumasaito_en.md
new file mode 100644
index 000000000000..8f5e4d4adabb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_yumasaito_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_yumasaito DistilBertForSequenceClassification from YumaSaito
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_yumasaito
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_yumasaito` is a English model originally trained by YumaSaito.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yumasaito_en_5.2.0_3.0_1700497844133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_yumasaito_en_5.2.0_3.0_1700497844133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_yumasaito|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/YumaSaito/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_zia_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_zia_en.md
new file mode 100644
index 000000000000..041e435712f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_emotion_zia_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_zia DistilBertForSequenceClassification from Zia
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_zia
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_zia` is a English model originally trained by Zia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zia_en_5.2.0_3.0_1700489498908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_zia_en_5.2.0_3.0_1700489498908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_zia|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Zia/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ft650_10class_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ft650_10class_en.md
new file mode 100644
index 000000000000..a48291ac09ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ft650_10class_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ft650_10class DistilBertForSequenceClassification from dminiotas05
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ft650_10class
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ft650_10class` is a English model originally trained by dminiotas05.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ft650_10class_en_5.2.0_3.0_1700473323534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ft650_10class_en_5.2.0_3.0_1700473323534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ft650_10class|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/dminiotas05/distilbert-base-uncased-finetuned-ft650_10class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ft750_reg1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ft750_reg1_en.md
new file mode 100644
index 000000000000..fa58220fb454
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ft750_reg1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ft750_reg1 DistilBertForSequenceClassification from dminiotas05
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ft750_reg1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ft750_reg1` is a English model originally trained by dminiotas05.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ft750_reg1_en_5.2.0_3.0_1700489327724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ft750_reg1_en_5.2.0_3.0_1700489327724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ft750_reg1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/dminiotas05/distilbert-base-uncased-finetuned-ft750_reg1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_greenpatent_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_greenpatent_en.md
new file mode 100644
index 000000000000..b012f1b75f23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_greenpatent_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_greenpatent DistilBertForSequenceClassification from cwinkler
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_greenpatent
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_greenpatent` is a English model originally trained by cwinkler.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_greenpatent_en_5.2.0_3.0_1700489813968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_greenpatent_en_5.2.0_3.0_1700489813968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_greenpatent|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cwinkler/distilbert-base-uncased-finetuned-greenpatent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_greenplastics_tiny_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_greenplastics_tiny_en.md
new file mode 100644
index 000000000000..1b285b33ba4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_greenplastics_tiny_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_greenplastics_tiny DistilBertForSequenceClassification from cwinkler
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_greenplastics_tiny
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_greenplastics_tiny` is a English model originally trained by cwinkler.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_greenplastics_tiny_en_5.2.0_3.0_1700464916529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_greenplastics_tiny_en_5.2.0_3.0_1700464916529.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_greenplastics_tiny|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/cwinkler/distilbert-base-uncased-finetuned-greenplastics-tiny
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_moral_ctx_action_conseq_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_moral_ctx_action_conseq_en.md
new file mode 100644
index 000000000000..3ea54dc85e4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_moral_ctx_action_conseq_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_moral_ctx_action_conseq DistilBertForSequenceClassification from agi-css
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_moral_ctx_action_conseq
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_moral_ctx_action_conseq` is a English model originally trained by agi-css.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_moral_ctx_action_conseq_en_5.2.0_3.0_1700447197990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_moral_ctx_action_conseq_en_5.2.0_3.0_1700447197990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_moral_ctx_action_conseq|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/agi-css/distilbert-base-uncased-finetuned-moral-ctx-action-conseq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_1_en.md
new file mode 100644
index 000000000000..c467c9d4e6ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_1 DistilBertForTokenClassification from clarissa-koh-chope
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_1
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_1` is a English model originally trained by clarissa-koh-chope.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_1_en_5.2.0_3.0_1700524235530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_1_en_5.2.0_3.0_1700524235530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/clarissa-koh-chope/distilbert-base-uncased-finetuned-ner_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_brettlin_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_brettlin_en.md
new file mode 100644
index 000000000000..c25613468543
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_brettlin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_brettlin DistilBertForTokenClassification from brettlin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_brettlin
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_brettlin` is a English model originally trained by brettlin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_brettlin_en_5.2.0_3.0_1700520584132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_brettlin_en_5.2.0_3.0_1700520584132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_brettlin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.6 MB|
+
+## References
+
+https://huggingface.co/brettlin/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_issifuamajeed_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_issifuamajeed_en.md
new file mode 100644
index 000000000000..16a07f113d28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_issifuamajeed_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_issifuamajeed DistilBertForTokenClassification from issifuamajeed
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_issifuamajeed
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_issifuamajeed` is a English model originally trained by issifuamajeed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_issifuamajeed_en_5.2.0_3.0_1700519243660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_issifuamajeed_en_5.2.0_3.0_1700519243660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_issifuamajeed|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/issifuamajeed/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_malduwais_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_malduwais_en.md
new file mode 100644
index 000000000000..e83325a8873c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_malduwais_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_malduwais DistilBertForTokenClassification from malduwais
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_malduwais
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_malduwais` is a English model originally trained by malduwais.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_malduwais_en_5.2.0_3.0_1700519388994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_malduwais_en_5.2.0_3.0_1700519388994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_malduwais|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/malduwais/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_ui_chope_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_ui_chope_en.md
new file mode 100644
index 000000000000..6085881547f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_ner_ui_chope_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ui_chope DistilBertForTokenClassification from ui-chope
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ui_chope
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_ui_chope` is a English model originally trained by ui-chope.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ui_chope_en_5.2.0_3.0_1700519717661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ui_chope_en_5.2.0_3.0_1700519717661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_ui_chope|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ui-chope/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_olid_a_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_olid_a_en.md
new file mode 100644
index 000000000000..2afdc530d5c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_olid_a_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_olid_a DistilBertForSequenceClassification from pigeon-phobia
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_olid_a
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_olid_a` is a English model originally trained by pigeon-phobia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_olid_a_en_5.2.0_3.0_1700455128998.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_olid_a_en_5.2.0_3.0_1700455128998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_olid_a|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/pigeon-phobia/distilbert-base-uncased_finetuned_olid_a
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sprint_meds_sarahflan_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sprint_meds_sarahflan_en.md
new file mode 100644
index 000000000000..d99cdfd34c1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sprint_meds_sarahflan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sprint_meds_sarahflan DistilBertForSequenceClassification from sarahflan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sprint_meds_sarahflan
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sprint_meds_sarahflan` is a English model originally trained by sarahflan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sprint_meds_sarahflan_en_5.2.0_3.0_1700481041025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sprint_meds_sarahflan_en_5.2.0_3.0_1700481041025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sprint_meds_sarahflan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/sarahflan/distilbert-base-uncased-finetuned-sprint-meds
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sst2_ag_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sst2_ag_en.md
new file mode 100644
index 000000000000..b68b9ad40901
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sst2_ag_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst2_ag DistilBertForSequenceClassification from AG6019
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst2_ag
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_ag` is a English model originally trained by AG6019.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_ag_en_5.2.0_3.0_1700476658976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_ag_en_5.2.0_3.0_1700476658976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst2_ag|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AG6019/distilbert-base-uncased-finetuned-sst2-ag
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sst2_tillschwoerer_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sst2_tillschwoerer_en.md
new file mode 100644
index 000000000000..8c4e30fee92c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sst2_tillschwoerer_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst2_tillschwoerer DistilBertForSequenceClassification from tillschwoerer
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst2_tillschwoerer
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_tillschwoerer` is a English model originally trained by tillschwoerer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_tillschwoerer_en_5.2.0_3.0_1700490337406.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_tillschwoerer_en_5.2.0_3.0_1700490337406.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst2_tillschwoerer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tillschwoerer/distilbert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sst2_winegarj_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sst2_winegarj_en.md
new file mode 100644
index 000000000000..da594e8856bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_sst2_winegarj_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst2_winegarj DistilBertForSequenceClassification from winegarj
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst2_winegarj
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst2_winegarj` is a English model originally trained by winegarj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_winegarj_en_5.2.0_3.0_1700447163037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst2_winegarj_en_5.2.0_3.0_1700447163037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst2_winegarj|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/winegarj/distilbert-base-uncased-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_stsb_trinadutta_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_stsb_trinadutta_en.md
new file mode 100644
index 000000000000..fee6e36fd77d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_stsb_trinadutta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_stsb_trinadutta DistilBertForSequenceClassification from trinadutta
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_stsb_trinadutta
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_stsb_trinadutta` is a English model originally trained by trinadutta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stsb_trinadutta_en_5.2.0_3.0_1700483163482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_stsb_trinadutta_en_5.2.0_3.0_1700483163482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_stsb_trinadutta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/trinadutta/distilbert-base-uncased-finetuned-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_subreddit_classification_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_subreddit_classification_en.md
new file mode 100644
index 000000000000..52a7f48b785e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_subreddit_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_subreddit_classification DistilBertForSequenceClassification from nillo36
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_subreddit_classification
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_subreddit_classification` is a English model originally trained by nillo36.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_subreddit_classification_en_5.2.0_3.0_1700452441528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_subreddit_classification_en_5.2.0_3.0_1700452441528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_subreddit_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nillo36/distilbert-base-uncased-finetuned-subreddit_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_switchboard_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_switchboard_en.md
new file mode 100644
index 000000000000..c5ef2bc20aba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_switchboard_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_switchboard DistilBertForSequenceClassification from goldenk
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_switchboard
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_switchboard` is a English model originally trained by goldenk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_switchboard_en_5.2.0_3.0_1700487067280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_switchboard_en_5.2.0_3.0_1700487067280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_switchboard|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/goldenk/distilbert-base-uncased-finetuned-switchboard
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_en.md
new file mode 100644
index 000000000000..584ca9603a8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_text_2_disease_celtic_languages DistilBertForSequenceClassification from celikmus
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_text_2_disease_celtic_languages
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_text_2_disease_celtic_languages` is a English model originally trained by celikmus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_en_5.2.0_3.0_1700446117090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_en_5.2.0_3.0_1700446117090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_text_2_disease_celtic_languages|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/celikmus/distilbert-base-uncased_finetuned_text_2_disease_cel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v1_en.md
new file mode 100644
index 000000000000..047a7a2c0b0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v1 DistilBertForSequenceClassification from celikmus
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v1` is a English model originally trained by celikmus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v1_en_5.2.0_3.0_1700457422501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v1_en_5.2.0_3.0_1700457422501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/celikmus/distilbert-base-uncased_finetuned_text_2_disease_cel_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v2_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v2_en.md
new file mode 100644
index 000000000000..fba0b67514f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v2 DistilBertForSequenceClassification from celikmus
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v2
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v2` is a English model originally trained by celikmus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v2_en_5.2.0_3.0_1700456003367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v2_en_5.2.0_3.0_1700456003367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_text_2_disease_celtic_languages_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/celikmus/distilbert-base-uncased_finetuned_text_2_disease_cel_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_tweets_emoji_dataset_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_tweets_emoji_dataset_en.md
new file mode 100644
index 000000000000..a78e001d7760
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_finetuned_tweets_emoji_dataset_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_tweets_emoji_dataset DistilBertForSequenceClassification from JNK789
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_tweets_emoji_dataset
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_tweets_emoji_dataset` is a English model originally trained by JNK789.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tweets_emoji_dataset_en_5.2.0_3.0_1700450096605.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tweets_emoji_dataset_en_5.2.0_3.0_1700450096605.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_tweets_emoji_dataset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/JNK789/distilbert-base-uncased-finetuned-tweets-emoji-dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_1_binary_v1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_1_binary_v1_en.md
new file mode 100644
index 000000000000..9b377d18bb90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_1_binary_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_fold_1_binary_v1 DistilBertForSequenceClassification from elopezlopez
+author: John Snow Labs
+name: distilbert_base_uncased_fold_1_binary_v1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fold_1_binary_v1` is a English model originally trained by elopezlopez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_1_binary_v1_en_5.2.0_3.0_1700484054435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_1_binary_v1_en_5.2.0_3.0_1700484054435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fold_1_binary_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/elopezlopez/distilbert-base-uncased_fold_1_binary_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_3_binary_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_3_binary_en.md
new file mode 100644
index 000000000000..7a245cd2ed5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_3_binary_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_fold_3_binary DistilBertForSequenceClassification from elopezlopez
+author: John Snow Labs
+name: distilbert_base_uncased_fold_3_binary
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fold_3_binary` is a English model originally trained by elopezlopez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_3_binary_en_5.2.0_3.0_1700487586671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_3_binary_en_5.2.0_3.0_1700487586671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fold_3_binary|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/elopezlopez/distilbert-base-uncased_fold_3_binary
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_4_binary_v1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_4_binary_v1_en.md
new file mode 100644
index 000000000000..c2e29e70d207
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_4_binary_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_fold_4_binary_v1 DistilBertForSequenceClassification from elopezlopez
+author: John Snow Labs
+name: distilbert_base_uncased_fold_4_binary_v1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fold_4_binary_v1` is a English model originally trained by elopezlopez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_4_binary_v1_en_5.2.0_3.0_1700495172288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_4_binary_v1_en_5.2.0_3.0_1700495172288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fold_4_binary_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/elopezlopez/distilbert-base-uncased_fold_4_binary_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_4_ternary_v1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_4_ternary_v1_en.md
new file mode 100644
index 000000000000..f89cf32d004b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_4_ternary_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_fold_4_ternary_v1 DistilBertForSequenceClassification from elopezlopez
+author: John Snow Labs
+name: distilbert_base_uncased_fold_4_ternary_v1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fold_4_ternary_v1` is a English model originally trained by elopezlopez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_4_ternary_v1_en_5.2.0_3.0_1700491113706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_4_ternary_v1_en_5.2.0_3.0_1700491113706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fold_4_ternary_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/elopezlopez/distilbert-base-uncased_fold_4_ternary_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_5_binary_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_5_binary_en.md
new file mode 100644
index 000000000000..a1b00f1c9a69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_5_binary_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_fold_5_binary DistilBertForSequenceClassification from elopezlopez
+author: John Snow Labs
+name: distilbert_base_uncased_fold_5_binary
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fold_5_binary` is a English model originally trained by elopezlopez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_5_binary_en_5.2.0_3.0_1700493457893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_5_binary_en_5.2.0_3.0_1700493457893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fold_5_binary|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/elopezlopez/distilbert-base-uncased_fold_5_binary
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_7_binary_v1_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_7_binary_v1_en.md
new file mode 100644
index 000000000000..5241730bf572
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_fold_7_binary_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_fold_7_binary_v1 DistilBertForSequenceClassification from elopezlopez
+author: John Snow Labs
+name: distilbert_base_uncased_fold_7_binary_v1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fold_7_binary_v1` is a English model originally trained by elopezlopez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_7_binary_v1_en_5.2.0_3.0_1700502399141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fold_7_binary_v1_en_5.2.0_3.0_1700502399141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fold_7_binary_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/elopezlopez/distilbert-base-uncased_fold_7_binary_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_ft_ncbi_disease_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_ft_ncbi_disease_en.md
new file mode 100644
index 000000000000..31fd3de1f826
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_ft_ncbi_disease_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ft_ncbi_disease DistilBertForTokenClassification from sarahmiller137
+author: John Snow Labs
+name: distilbert_base_uncased_ft_ncbi_disease
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ft_ncbi_disease` is a English model originally trained by sarahmiller137.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ft_ncbi_disease_en_5.2.0_3.0_1700521534769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ft_ncbi_disease_en_5.2.0_3.0_1700521534769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ft_ncbi_disease|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/sarahmiller137/distilbert-base-uncased-ft-ncbi-disease
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_gc_indep_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_gc_indep_en.md
new file mode 100644
index 000000000000..cfb9af96aa97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_gc_indep_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_gc_indep DistilBertForSequenceClassification from waynedsouza
+author: John Snow Labs
+name: distilbert_base_uncased_gc_indep
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_gc_indep` is a English model originally trained by waynedsouza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_gc_indep_en_5.2.0_3.0_1700492262428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_gc_indep_en_5.2.0_3.0_1700492262428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_gc_indep|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/waynedsouza/distilbert-base-uncased-gc-indep
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_imdb_1000_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_imdb_1000_en.md
new file mode 100644
index 000000000000..78ae9b9c3bfe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_imdb_1000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_imdb_1000 DistilBertForSequenceClassification from romainf
+author: John Snow Labs
+name: distilbert_base_uncased_imdb_1000
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_imdb_1000` is a English model originally trained by romainf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_1000_en_5.2.0_3.0_1700500851713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_1000_en_5.2.0_3.0_1700500851713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_imdb_1000|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/romainf/distilbert-base-uncased-imdb-1000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_imdb_3000_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_imdb_3000_en.md
new file mode 100644
index 000000000000..99407e3f24c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_imdb_3000_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_imdb_3000 DistilBertForSequenceClassification from romainf
+author: John Snow Labs
+name: distilbert_base_uncased_imdb_3000
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_imdb_3000` is a English model originally trained by romainf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_3000_en_5.2.0_3.0_1700475758149.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_imdb_3000_en_5.2.0_3.0_1700475758149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_imdb_3000|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/romainf/distilbert-base-uncased-imdb-3000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_ner_speaker_diarization_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_ner_speaker_diarization_en.md
new file mode 100644
index 000000000000..db03cbf9a4cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_ner_speaker_diarization_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_speaker_diarization DistilBertForTokenClassification from asanoop24
+author: John Snow Labs
+name: distilbert_base_uncased_ner_speaker_diarization
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_speaker_diarization` is a English model originally trained by asanoop24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_speaker_diarization_en_5.2.0_3.0_1700519892260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_speaker_diarization_en_5.2.0_3.0_1700519892260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_speaker_diarization|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/asanoop24/distilbert-base-uncased-ner-speaker-diarization
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_new2_cola_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_new2_cola_en.md
new file mode 100644
index 000000000000..e1ed0e564aa1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_new2_cola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_new2_cola DistilBertForSequenceClassification from charlemagne
+author: John Snow Labs
+name: distilbert_base_uncased_new2_cola
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_new2_cola` is a English model originally trained by charlemagne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_new2_cola_en_5.2.0_3.0_1700492546567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_new2_cola_en_5.2.0_3.0_1700492546567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_new2_cola|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/charlemagne/distilbert-base-uncased-new2-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_newsmodelclassification_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_newsmodelclassification_en.md
new file mode 100644
index 000000000000..b2fbbe159dae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_newsmodelclassification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_newsmodelclassification DistilBertForSequenceClassification from aatmasidha
+author: John Snow Labs
+name: distilbert_base_uncased_newsmodelclassification
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_newsmodelclassification` is a English model originally trained by aatmasidha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_newsmodelclassification_en_5.2.0_3.0_1700475219205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_newsmodelclassification_en_5.2.0_3.0_1700475219205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_newsmodelclassification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aatmasidha/distilbert-base-uncased-newsmodelclassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_output_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_output_en.md
new file mode 100644
index 000000000000..8d5fe5f30c7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_output_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_output DistilBertForSequenceClassification from yasser-kaddoura
+author: John Snow Labs
+name: distilbert_base_uncased_output
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_output` is a English model originally trained by yasser-kaddoura.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_output_en_5.2.0_3.0_1700477890725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_output_en_5.2.0_3.0_1700477890725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_output|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/yasser-kaddoura/distilbert-base-uncased_output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_pina_dfnew_tuning_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_pina_dfnew_tuning_en.md
new file mode 100644
index 000000000000..2eb2f9524391
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_pina_dfnew_tuning_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_pina_dfnew_tuning DistilBertForSequenceClassification from GhifSmile
+author: John Snow Labs
+name: distilbert_base_uncased_pina_dfnew_tuning
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_pina_dfnew_tuning` is a English model originally trained by GhifSmile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_pina_dfnew_tuning_en_5.2.0_3.0_1700494088295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_pina_dfnew_tuning_en_5.2.0_3.0_1700494088295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_pina_dfnew_tuning|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/GhifSmile/distilbert-base-uncased-PINA-dfnew-tuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_qnli_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_qnli_en.md
new file mode 100644
index 000000000000..b07d283def48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_qnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_qnli DistilBertForSequenceClassification from textattack
+author: John Snow Labs
+name: distilbert_base_uncased_qnli
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_qnli` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qnli_en_5.2.0_3.0_1700453433323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qnli_en_5.2.0_3.0_1700453433323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_qnli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/textattack/distilbert-base-uncased-QNLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_sexist_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_sexist_en.md
new file mode 100644
index 000000000000..b5920a7b443d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_sexist_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_sexist DistilBertForSequenceClassification from mwrob
+author: John Snow Labs
+name: distilbert_base_uncased_sexist
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_sexist` is a English model originally trained by mwrob.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sexist_en_5.2.0_3.0_1700471301920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_sexist_en_5.2.0_3.0_1700471301920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_sexist|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/mwrob/distilbert-base-uncased-sexist
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_spamfilter_samoan_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_spamfilter_samoan_en.md
new file mode 100644
index 000000000000..17671ff545e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_spamfilter_samoan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_spamfilter_samoan DistilBertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: distilbert_base_uncased_spamfilter_samoan
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_spamfilter_samoan` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_spamfilter_samoan_en_5.2.0_3.0_1700443943758.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_spamfilter_samoan_en_5.2.0_3.0_1700443943758.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_spamfilter_samoan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/distilbert-base-uncased-SpamFilter-sm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_suggestion_finetuned_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_suggestion_finetuned_en.md
new file mode 100644
index 000000000000..9b526e085323
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_base_uncased_suggestion_finetuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_base_uncased_suggestion_finetuned DistilBertForSequenceClassification from wuyue1987
+author: John Snow Labs
+name: distilbert_base_uncased_suggestion_finetuned
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_suggestion_finetuned` is a English model originally trained by wuyue1987.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_suggestion_finetuned_en_5.2.0_3.0_1700441098769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_suggestion_finetuned_en_5.2.0_3.0_1700441098769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_suggestion_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/wuyue1987/distilbert-base-uncased-suggestion-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_fine_tuned_terms_v2_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_fine_tuned_terms_v2_en.md
new file mode 100644
index 000000000000..88df8a6de9ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_fine_tuned_terms_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_fine_tuned_terms_v2 DistilBertForSequenceClassification from alexskrn
+author: John Snow Labs
+name: distilbert_fine_tuned_terms_v2
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_fine_tuned_terms_v2` is a English model originally trained by alexskrn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_fine_tuned_terms_v2_en_5.2.0_3.0_1700460229264.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_fine_tuned_terms_v2_en_5.2.0_3.0_1700460229264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_fine_tuned_terms_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/alexskrn/distilbert-fine-tuned-terms_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_fine_tuned_text_classification_sl_data_augmentation_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_fine_tuned_text_classification_sl_data_augmentation_en.md
new file mode 100644
index 000000000000..b49a1407f101
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_fine_tuned_text_classification_sl_data_augmentation_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_fine_tuned_text_classification_sl_data_augmentation DistilBertForSequenceClassification from Sleoruiz
+author: John Snow Labs
+name: distilbert_fine_tuned_text_classification_sl_data_augmentation
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_fine_tuned_text_classification_sl_data_augmentation` is a English model originally trained by Sleoruiz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_fine_tuned_text_classification_sl_data_augmentation_en_5.2.0_3.0_1700461500259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_fine_tuned_text_classification_sl_data_augmentation_en_5.2.0_3.0_1700461500259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_fine_tuned_text_classification_sl_data_augmentation|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.8 MB|
+
+## References
+
+https://huggingface.co/Sleoruiz/distilbert-fine-tuned-text-classification-SL-data-augmentation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_finetuned_ai4privacy_isotonic_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_finetuned_ai4privacy_isotonic_en.md
new file mode 100644
index 000000000000..1b7b45f1fdf4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_finetuned_ai4privacy_isotonic_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_ai4privacy_isotonic DistilBertForTokenClassification from Isotonic
+author: John Snow Labs
+name: distilbert_finetuned_ai4privacy_isotonic
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_ai4privacy_isotonic` is a English model originally trained by Isotonic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ai4privacy_isotonic_en_5.2.0_3.0_1700519894965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ai4privacy_isotonic_en_5.2.0_3.0_1700519894965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_ai4privacy_isotonic|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.6 MB|
+
+## References
+
+https://huggingface.co/Isotonic/distilbert_finetuned_ai4privacy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_finetuned_claimdecomp_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_finetuned_claimdecomp_en.md
new file mode 100644
index 000000000000..520d2a47a9a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_finetuned_claimdecomp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_finetuned_claimdecomp DistilBertForSequenceClassification from gavulsim
+author: John Snow Labs
+name: distilbert_finetuned_claimdecomp
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_claimdecomp` is a English model originally trained by gavulsim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_claimdecomp_en_5.2.0_3.0_1700468093563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_claimdecomp_en_5.2.0_3.0_1700468093563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_claimdecomp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/gavulsim/distilbert_finetuned_claimdecomp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_finetuned_ner_neelgokhale_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_finetuned_ner_neelgokhale_en.md
new file mode 100644
index 000000000000..0a04e29089e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_finetuned_ner_neelgokhale_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_ner_neelgokhale DistilBertForTokenClassification from neelgokhale
+author: John Snow Labs
+name: distilbert_finetuned_ner_neelgokhale
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_ner_neelgokhale` is a English model originally trained by neelgokhale.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_neelgokhale_en_5.2.0_3.0_1700522541524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_neelgokhale_en_5.2.0_3.0_1700522541524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_ner_neelgokhale|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/neelgokhale/distilbert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_for_food_extraction_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_for_food_extraction_en.md
new file mode 100644
index 000000000000..a71035b062cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_for_food_extraction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_for_food_extraction DistilBertForTokenClassification from chambliss
+author: John Snow Labs
+name: distilbert_for_food_extraction
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_for_food_extraction` is a English model originally trained by chambliss.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_for_food_extraction_en_5.2.0_3.0_1700519078894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_for_food_extraction_en_5.2.0_3.0_1700519078894.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_for_food_extraction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/chambliss/distilbert-for-food-extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_genre_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_genre_classifier_en.md
new file mode 100644
index 000000000000..2f59f94da5aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_genre_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_imdb_genre_classifier DistilBertForSequenceClassification from 50stars
+author: John Snow Labs
+name: distilbert_imdb_genre_classifier
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_genre_classifier` is a English model originally trained by 50stars.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_genre_classifier_en_5.2.0_3.0_1700499855776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_genre_classifier_en_5.2.0_3.0_1700499855776.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_genre_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|250.5 MB|
+
+## References
+
+https://huggingface.co/50stars/distilbert_imdb_genre_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_gr00t16_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_gr00t16_en.md
new file mode 100644
index 000000000000..fc76acc72189
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_gr00t16_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_imdb_gr00t16 DistilBertForSequenceClassification from Gr00t16
+author: John Snow Labs
+name: distilbert_imdb_gr00t16
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_gr00t16` is a English model originally trained by Gr00t16.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_gr00t16_en_5.2.0_3.0_1700439001858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_gr00t16_en_5.2.0_3.0_1700439001858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_gr00t16|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Gr00t16/distilbert-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_medivvv_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_medivvv_en.md
new file mode 100644
index 000000000000..033e64e9fb39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_medivvv_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_imdb_medivvv DistilBertForSequenceClassification from Medivvv
+author: John Snow Labs
+name: distilbert_imdb_medivvv
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_medivvv` is a English model originally trained by Medivvv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_medivvv_en_5.2.0_3.0_1700482136898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_medivvv_en_5.2.0_3.0_1700482136898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_medivvv|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Medivvv/distilbert-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_yuzhi_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_yuzhi_en.md
new file mode 100644
index 000000000000..168285d57a6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_imdb_yuzhi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_imdb_yuzhi DistilBertForSequenceClassification from yuzhi
+author: John Snow Labs
+name: distilbert_imdb_yuzhi
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_imdb_yuzhi` is a English model originally trained by yuzhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_imdb_yuzhi_en_5.2.0_3.0_1700462266155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_imdb_yuzhi_en_5.2.0_3.0_1700462266155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_imdb_yuzhi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/yuzhi/distilbert-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_infoextract_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_infoextract_en.md
new file mode 100644
index 000000000000..c44864fc1bf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_infoextract_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_infoextract DistilBertForTokenClassification from tony4194
+author: John Snow Labs
+name: distilbert_infoextract
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_infoextract` is a English model originally trained by tony4194.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_infoextract_en_5.2.0_3.0_1700519223312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_infoextract_en_5.2.0_3.0_1700519223312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_infoextract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/tony4194/distilBERT-infoExtract
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_italian_cased_ner_it.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_italian_cased_ner_it.md
new file mode 100644
index 000000000000..17725bff2af6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_italian_cased_ner_it.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Italian distilbert_italian_cased_ner DistilBertForTokenClassification from osiria
+author: John Snow Labs
+name: distilbert_italian_cased_ner
+date: 2023-11-20
+tags: [bert, it, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: it
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_italian_cased_ner` is a Italian model originally trained by osiria.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_italian_cased_ner_it_5.2.0_3.0_1700519393775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_italian_cased_ner_it_5.2.0_3.0_1700519393775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_profane_final|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/SiddharthaM/distilbert-profane-final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_punctuator_chinese_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_punctuator_chinese_en.md
new file mode 100644
index 000000000000..728ad2767f29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_punctuator_chinese_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_punctuator_chinese DistilBertForTokenClassification from Qishuai
+author: John Snow Labs
+name: distilbert_punctuator_chinese
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_punctuator_chinese` is a English model originally trained by Qishuai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_punctuator_chinese_en_5.2.0_3.0_1700523075003.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_punctuator_chinese_en_5.2.0_3.0_1700523075003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_punctuator_chinese|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|221.8 MB|
+
+## References
+
+https://huggingface.co/Qishuai/distilbert_punctuator_zh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_punctuator_english_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_punctuator_english_en.md
new file mode 100644
index 000000000000..4127c7ba1705
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_punctuator_english_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_punctuator_english DistilBertForTokenClassification from Qishuai
+author: John Snow Labs
+name: distilbert_punctuator_english
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_punctuator_english` is a English model originally trained by Qishuai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_punctuator_english_en_5.2.0_3.0_1700519342970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_punctuator_english_en_5.2.0_3.0_1700519342970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_punctuator_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Qishuai/distilbert_punctuator_en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_sentiment_analysis_model_40k_samples_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_sentiment_analysis_model_40k_samples_en.md
new file mode 100644
index 000000000000..b28d401ffb8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_sentiment_analysis_model_40k_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_sentiment_analysis_model_40k_samples DistilBertForSequenceClassification from Camelia7v
+author: John Snow Labs
+name: distilbert_sentiment_analysis_model_40k_samples
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sentiment_analysis_model_40k_samples` is a English model originally trained by Camelia7v.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_analysis_model_40k_samples_en_5.2.0_3.0_1700451432185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sentiment_analysis_model_40k_samples_en_5.2.0_3.0_1700451432185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sentiment_analysis_model_40k_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Camelia7v/distilbert-sentiment-analysis-model-40k-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_text_classification_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_text_classification_en.md
new file mode 100644
index 000000000000..449534da08be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_text_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_text_classification DistilBertForSequenceClassification from ptamm
+author: John Snow Labs
+name: distilbert_text_classification
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_text_classification` is a English model originally trained by ptamm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_text_classification_en_5.2.0_3.0_1700449825564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_text_classification_en_5.2.0_3.0_1700449825564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_text_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|252.5 MB|
+
+## References
+
+https://huggingface.co/ptamm/distilbert-text_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilbert_tiln_proj_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilbert_tiln_proj_en.md
new file mode 100644
index 000000000000..449aee03d918
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilbert_tiln_proj_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbert_tiln_proj DistilBertForSequenceClassification from cataremix15
+author: John Snow Labs
+name: distilbert_tiln_proj
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_tiln_proj` is a English model originally trained by cataremix15.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_tiln_proj_en_5.2.0_3.0_1700462107800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_tiln_proj_en_5.2.0_3.0_1700462107800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distiled_flip_model_emotion_alpha_0_8_epoch7_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ArafatBHossain/distiled_flip_model_emotion_alpha_0.8_epoch7_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distillbert_base_uncased_finetuned_clinc_mrpark97_en.md b/docs/_posts/ahmedlone127/2023-11-20-distillbert_base_uncased_finetuned_clinc_mrpark97_en.md
new file mode 100644
index 000000000000..0bbeac406bbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distillbert_base_uncased_finetuned_clinc_mrpark97_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distillbert_base_uncased_finetuned_clinc_mrpark97 DistilBertForSequenceClassification from MrPark97
+author: John Snow Labs
+name: distillbert_base_uncased_finetuned_clinc_mrpark97
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_base_uncased_finetuned_clinc_mrpark97` is a English model originally trained by MrPark97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_finetuned_clinc_mrpark97_en_5.2.0_3.0_1700477227337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_base_uncased_finetuned_clinc_mrpark97_en_5.2.0_3.0_1700477227337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_base_uncased_finetuned_clinc_mrpark97|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/MrPark97/distillbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilled_indobert_classification_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilled_indobert_classification_en.md
new file mode 100644
index 000000000000..f1165dafd68f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilled_indobert_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilled_indobert_classification DistilBertForSequenceClassification from afbudiman
+author: John Snow Labs
+name: distilled_indobert_classification
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilled_indobert_classification` is a English model originally trained by afbudiman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilled_indobert_classification_en_5.2.0_3.0_1700465899249.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilled_indobert_classification_en_5.2.0_3.0_1700465899249.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilled_indobert_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/afbudiman/distilled-indobert-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-distilrubert_tiny_2nd_finetune_epru_mmillet_en.md b/docs/_posts/ahmedlone127/2023-11-20-distilrubert_tiny_2nd_finetune_epru_mmillet_en.md
new file mode 100644
index 000000000000..2a200cf4cb95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-distilrubert_tiny_2nd_finetune_epru_mmillet_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilrubert_tiny_2nd_finetune_epru_mmillet DistilBertForSequenceClassification from mmillet
+author: John Snow Labs
+name: distilrubert_tiny_2nd_finetune_epru_mmillet
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilrubert_tiny_2nd_finetune_epru_mmillet` is a English model originally trained by mmillet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilrubert_tiny_2nd_finetune_epru_mmillet_en_5.2.0_3.0_1700480146864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilrubert_tiny_2nd_finetune_epru_mmillet_en_5.2.0_3.0_1700480146864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilrubert_tiny_2nd_finetune_epru_mmillet|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|39.2 MB|
+
+## References
+
+https://huggingface.co/mmillet/distilrubert_tiny-2nd-finetune-epru
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-ecobert_powo_lifecycle_scratch_en.md b/docs/_posts/ahmedlone127/2023-11-20-ecobert_powo_lifecycle_scratch_en.md
new file mode 100644
index 000000000000..3305488a87ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-ecobert_powo_lifecycle_scratch_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ecobert_powo_lifecycle_scratch DistilBertForSequenceClassification from ViktorDo
+author: John Snow Labs
+name: ecobert_powo_lifecycle_scratch
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ecobert_powo_lifecycle_scratch` is a English model originally trained by ViktorDo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ecobert_powo_lifecycle_scratch_en_5.2.0_3.0_1700441029440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ecobert_powo_lifecycle_scratch_en_5.2.0_3.0_1700441029440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ecobert_powo_lifecycle_scratch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/ViktorDo/EcoBERT-POWO_Lifecycle_Scratch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-entity_extraction_en.md b/docs/_posts/ahmedlone127/2023-11-20-entity_extraction_en.md
new file mode 100644
index 000000000000..79ed64315763
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-entity_extraction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English entity_extraction DistilBertForTokenClassification from autoevaluate
+author: John Snow Labs
+name: entity_extraction
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`entity_extraction` is a English model originally trained by autoevaluate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entity_extraction_en_5.2.0_3.0_1700519734116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/entity_extraction_en_5.2.0_3.0_1700519734116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|entity_extraction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/autoevaluate/entity-extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-eyy_categorisation_en.md b/docs/_posts/ahmedlone127/2023-11-20-eyy_categorisation_en.md
new file mode 100644
index 000000000000..b55db64f2f44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-eyy_categorisation_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English eyy_categorisation DistilBertForSequenceClassification from ICFNext
+author: John Snow Labs
+name: eyy_categorisation
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`eyy_categorisation` is a English model originally trained by ICFNext.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eyy_categorisation_en_5.2.0_3.0_1700456303469.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eyy_categorisation_en_5.2.0_3.0_1700456303469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eyy_categorisation|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ICFNext/EYY-Categorisation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-fake_news_bert_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-20-fake_news_bert_classifier_en.md
new file mode 100644
index 000000000000..3792716e4f12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-fake_news_bert_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fake_news_bert_classifier DistilBertForSequenceClassification from ungjus
+author: John Snow Labs
+name: fake_news_bert_classifier
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_bert_classifier` is a English model originally trained by ungjus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_bert_classifier_en_5.2.0_3.0_1700441820847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_bert_classifier_en_5.2.0_3.0_1700441820847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_bert_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ungjus/Fake_News_BERT_Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-fake_news_detector_josumsc_en.md b/docs/_posts/ahmedlone127/2023-11-20-fake_news_detector_josumsc_en.md
new file mode 100644
index 000000000000..586eb8af0c15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-fake_news_detector_josumsc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fake_news_detector_josumsc DistilBertForSequenceClassification from JosuMSC
+author: John Snow Labs
+name: fake_news_detector_josumsc
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_detector_josumsc` is a English model originally trained by JosuMSC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_detector_josumsc_en_5.2.0_3.0_1700458535896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_detector_josumsc_en_5.2.0_3.0_1700458535896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_detector_josumsc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/JosuMSC/fake-news-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_distil_bert_depression_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_distil_bert_depression_en.md
new file mode 100644
index 000000000000..b76141cb79d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_distil_bert_depression_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distil_bert_depression DistilBertForSequenceClassification from ShreyaR
+author: John Snow Labs
+name: finetuned_distil_bert_depression
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distil_bert_depression` is a English model originally trained by ShreyaR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distil_bert_depression_en_5.2.0_3.0_1700464066066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distil_bert_depression_en_5.2.0_3.0_1700464066066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distil_bert_depression|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ShreyaR/finetuned-distil-bert-depression
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_distilbert_multi_label_emotion_headline_3_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_distilbert_multi_label_emotion_headline_3_en.md
new file mode 100644
index 000000000000..08bc040c593f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_distilbert_multi_label_emotion_headline_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_distilbert_multi_label_emotion_headline_3 DistilBertForSequenceClassification from abdulmatinomotoso
+author: John Snow Labs
+name: finetuned_distilbert_multi_label_emotion_headline_3
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_multi_label_emotion_headline_3` is a English model originally trained by abdulmatinomotoso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_headline_3_en_5.2.0_3.0_1700441857034.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_multi_label_emotion_headline_3_en_5.2.0_3.0_1700441857034.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_multi_label_emotion_headline_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/abdulmatinomotoso/finetuned-distilbert-multi-label-emotion_headline_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_iitp_pdt_review_distilbert_hinglish_big_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_iitp_pdt_review_distilbert_hinglish_big_en.md
new file mode 100644
index 000000000000..e24c570d20ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_iitp_pdt_review_distilbert_hinglish_big_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_iitp_pdt_review_distilbert_hinglish_big DistilBertForSequenceClassification from aditeyabaral
+author: John Snow Labs
+name: finetuned_iitp_pdt_review_distilbert_hinglish_big
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_iitp_pdt_review_distilbert_hinglish_big` is a English model originally trained by aditeyabaral.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_iitp_pdt_review_distilbert_hinglish_big_en_5.2.0_3.0_1700484238592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_iitp_pdt_review_distilbert_hinglish_big_en_5.2.0_3.0_1700484238592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_iitp_pdt_review_distilbert_hinglish_big|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|251.2 MB|
+
+## References
+
+https://huggingface.co/aditeyabaral/finetuned-iitp_pdt_review-distilbert-hinglish-big
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr0_0_0002_editorials_27_02_2022_19_42_36_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr0_0_0002_editorials_27_02_2022_19_42_36_en.md
new file mode 100644
index 000000000000..de7ff9b7d8c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr0_0_0002_editorials_27_02_2022_19_42_36_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentence_itr0_0_0002_editorials_27_02_2022_19_42_36 DistilBertForSequenceClassification from ali2066
+author: John Snow Labs
+name: finetuned_sentence_itr0_0_0002_editorials_27_02_2022_19_42_36
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_itr0_0_0002_editorials_27_02_2022_19_42_36` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr0_0_0002_editorials_27_02_2022_19_42_36_en_5.2.0_3.0_1700469293103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr0_0_0002_editorials_27_02_2022_19_42_36_en_5.2.0_3.0_1700469293103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_itr0_0_0002_editorials_27_02_2022_19_42_36|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_sentence_itr0_0.0002_editorials_27_02_2022-19_42_36
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr0_2e_05_all_01_03_2022_05_32_03_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr0_2e_05_all_01_03_2022_05_32_03_en.md
new file mode 100644
index 000000000000..35a4fa0b0136
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr0_2e_05_all_01_03_2022_05_32_03_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentence_itr0_2e_05_all_01_03_2022_05_32_03 DistilBertForSequenceClassification from ali2066
+author: John Snow Labs
+name: finetuned_sentence_itr0_2e_05_all_01_03_2022_05_32_03
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_itr0_2e_05_all_01_03_2022_05_32_03` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr0_2e_05_all_01_03_2022_05_32_03_en_5.2.0_3.0_1700458445863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr0_2e_05_all_01_03_2022_05_32_03_en_5.2.0_3.0_1700458445863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_itr0_2e_05_all_01_03_2022_05_32_03|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_sentence_itr0_2e-05_all_01_03_2022-05_32_03
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr0_3e_05_webdiscourse_27_02_2022_19_27_41_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr0_3e_05_webdiscourse_27_02_2022_19_27_41_en.md
new file mode 100644
index 000000000000..db84a5423edc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr0_3e_05_webdiscourse_27_02_2022_19_27_41_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentence_itr0_3e_05_webdiscourse_27_02_2022_19_27_41 DistilBertForSequenceClassification from ali2066
+author: John Snow Labs
+name: finetuned_sentence_itr0_3e_05_webdiscourse_27_02_2022_19_27_41
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_itr0_3e_05_webdiscourse_27_02_2022_19_27_41` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr0_3e_05_webdiscourse_27_02_2022_19_27_41_en_5.2.0_3.0_1700479529875.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr0_3e_05_webdiscourse_27_02_2022_19_27_41_en_5.2.0_3.0_1700479529875.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_itr0_3e_05_webdiscourse_27_02_2022_19_27_41|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_sentence_itr0_3e-05_webDiscourse_27_02_2022-19_27_41
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr1_0_0002_all_27_02_2022_18_01_22_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr1_0_0002_all_27_02_2022_18_01_22_en.md
new file mode 100644
index 000000000000..2271bb936593
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr1_0_0002_all_27_02_2022_18_01_22_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentence_itr1_0_0002_all_27_02_2022_18_01_22 DistilBertForSequenceClassification from ali2066
+author: John Snow Labs
+name: finetuned_sentence_itr1_0_0002_all_27_02_2022_18_01_22
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_itr1_0_0002_all_27_02_2022_18_01_22` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr1_0_0002_all_27_02_2022_18_01_22_en_5.2.0_3.0_1700463141984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr1_0_0002_all_27_02_2022_18_01_22_en_5.2.0_3.0_1700463141984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_itr1_0_0002_all_27_02_2022_18_01_22|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_sentence_itr1_0.0002_all_27_02_2022-18_01_22
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr1_3e_05_all_27_02_2022_18_29_24_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr1_3e_05_all_27_02_2022_18_29_24_en.md
new file mode 100644
index 000000000000..c3d61ffa4de5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr1_3e_05_all_27_02_2022_18_29_24_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentence_itr1_3e_05_all_27_02_2022_18_29_24 DistilBertForSequenceClassification from ali2066
+author: John Snow Labs
+name: finetuned_sentence_itr1_3e_05_all_27_02_2022_18_29_24
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_itr1_3e_05_all_27_02_2022_18_29_24` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr1_3e_05_all_27_02_2022_18_29_24_en_5.2.0_3.0_1700470242241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr1_3e_05_all_27_02_2022_18_29_24_en_5.2.0_3.0_1700470242241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_itr1_3e_05_all_27_02_2022_18_29_24|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_sentence_itr1_3e-05_all_27_02_2022-18_29_24
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr2_2e_05_all_26_02_2022_04_09_01_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr2_2e_05_all_26_02_2022_04_09_01_en.md
new file mode 100644
index 000000000000..4355f1813b30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr2_2e_05_all_26_02_2022_04_09_01_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentence_itr2_2e_05_all_26_02_2022_04_09_01 DistilBertForSequenceClassification from ali2066
+author: John Snow Labs
+name: finetuned_sentence_itr2_2e_05_all_26_02_2022_04_09_01
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_itr2_2e_05_all_26_02_2022_04_09_01` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr2_2e_05_all_26_02_2022_04_09_01_en_5.2.0_3.0_1700493135650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr2_2e_05_all_26_02_2022_04_09_01_en_5.2.0_3.0_1700493135650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_itr2_2e_05_all_26_02_2022_04_09_01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_sentence_itr2_2e-05_all_26_02_2022-04_09_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr3_2e_05_webdiscourse_27_02_2022_18_59_05_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr3_2e_05_webdiscourse_27_02_2022_18_59_05_en.md
new file mode 100644
index 000000000000..2bd34dfb98e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr3_2e_05_webdiscourse_27_02_2022_18_59_05_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentence_itr3_2e_05_webdiscourse_27_02_2022_18_59_05 DistilBertForSequenceClassification from ali2066
+author: John Snow Labs
+name: finetuned_sentence_itr3_2e_05_webdiscourse_27_02_2022_18_59_05
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_itr3_2e_05_webdiscourse_27_02_2022_18_59_05` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr3_2e_05_webdiscourse_27_02_2022_18_59_05_en_5.2.0_3.0_1700501735973.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr3_2e_05_webdiscourse_27_02_2022_18_59_05_en_5.2.0_3.0_1700501735973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_itr3_2e_05_webdiscourse_27_02_2022_18_59_05|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_sentence_itr3_2e-05_webDiscourse_27_02_2022-18_59_05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr4_2e_05_all_27_02_2022_17_50_05_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr4_2e_05_all_27_02_2022_17_50_05_en.md
new file mode 100644
index 000000000000..edad735a0d08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr4_2e_05_all_27_02_2022_17_50_05_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentence_itr4_2e_05_all_27_02_2022_17_50_05 DistilBertForSequenceClassification from ali2066
+author: John Snow Labs
+name: finetuned_sentence_itr4_2e_05_all_27_02_2022_17_50_05
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_itr4_2e_05_all_27_02_2022_17_50_05` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr4_2e_05_all_27_02_2022_17_50_05_en_5.2.0_3.0_1700480940588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr4_2e_05_all_27_02_2022_17_50_05_en_5.2.0_3.0_1700480940588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_itr4_2e_05_all_27_02_2022_17_50_05|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_sentence_itr4_2e-05_all_27_02_2022-17_50_05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr7_2e_05_all_26_02_2022_04_36_45_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr7_2e_05_all_26_02_2022_04_36_45_en.md
new file mode 100644
index 000000000000..dc5ab6bad2b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuned_sentence_itr7_2e_05_all_26_02_2022_04_36_45_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentence_itr7_2e_05_all_26_02_2022_04_36_45 DistilBertForSequenceClassification from ali2066
+author: John Snow Labs
+name: finetuned_sentence_itr7_2e_05_all_26_02_2022_04_36_45
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentence_itr7_2e_05_all_26_02_2022_04_36_45` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr7_2e_05_all_26_02_2022_04_36_45_en_5.2.0_3.0_1700446117157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentence_itr7_2e_05_all_26_02_2022_04_36_45_en_5.2.0_3.0_1700446117157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentence_itr7_2e_05_all_26_02_2022_04_36_45|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_sentence_itr7_2e-05_all_26_02_2022-04_36_45
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_distilbert_base_uncased_on_imdb_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_distilbert_base_uncased_on_imdb_en.md
new file mode 100644
index 000000000000..a1f9061f1e8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_distilbert_base_uncased_on_imdb_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_distilbert_base_uncased_on_imdb DistilBertForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_distilbert_base_uncased_on_imdb
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_distilbert_base_uncased_on_imdb` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_base_uncased_on_imdb_en_5.2.0_3.0_1700458445845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_base_uncased_on_imdb_en_5.2.0_3.0_1700458445845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_distilbert_base_uncased_on_imdb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/finetuning-distilbert-base-uncased-on-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_distilbert_base_uncased_on_sst2_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_distilbert_base_uncased_on_sst2_en.md
new file mode 100644
index 000000000000..36da166ce448
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_distilbert_base_uncased_on_sst2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_distilbert_base_uncased_on_sst2 DistilBertForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_distilbert_base_uncased_on_sst2
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_distilbert_base_uncased_on_sst2` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_base_uncased_on_sst2_en_5.2.0_3.0_1700477128779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_base_uncased_on_sst2_en_5.2.0_3.0_1700477128779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_distilbert_base_uncased_on_sst2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/finetuning-distilbert-base-uncased-on-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_esg_sentiment_model_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_esg_sentiment_model_distilbert_en.md
new file mode 100644
index 000000000000..86cb54c14a22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_esg_sentiment_model_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_esg_sentiment_model_distilbert DistilBertForSequenceClassification from Bennet1996
+author: John Snow Labs
+name: finetuning_esg_sentiment_model_distilbert
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_esg_sentiment_model_distilbert` is a English model originally trained by Bennet1996.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_esg_sentiment_model_distilbert_en_5.2.0_3.0_1700488001943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_esg_sentiment_model_distilbert_en_5.2.0_3.0_1700488001943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_esg_sentiment_model_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Bennet1996/finetuning-ESG-sentiment-model-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_ad7_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_ad7_en.md
new file mode 100644
index 000000000000..f5133d20509a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_ad7_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_ad7 DistilBertForSequenceClassification from ad7
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_ad7
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_ad7` is a English model originally trained by ad7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ad7_en_5.2.0_3.0_1700463176091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_ad7_en_5.2.0_3.0_1700463176091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_ad7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ad7/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_becharabouabdo_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_becharabouabdo_en.md
new file mode 100644
index 000000000000..0e2e3567dd5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_becharabouabdo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_becharabouabdo DistilBertForSequenceClassification from BecharaBouAbdo
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_becharabouabdo
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_becharabouabdo` is a English model originally trained by BecharaBouAbdo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_becharabouabdo_en_5.2.0_3.0_1700493135628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_becharabouabdo_en_5.2.0_3.0_1700493135628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_becharabouabdo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/BecharaBouAbdo/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_edvinkxs_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_edvinkxs_en.md
new file mode 100644
index 000000000000..d3a667bd4b14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_edvinkxs_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_edvinkxs DistilBertForSequenceClassification from edvinkxs
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_edvinkxs
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_edvinkxs` is a English model originally trained by edvinkxs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_edvinkxs_en_5.2.0_3.0_1700464839668.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_edvinkxs_en_5.2.0_3.0_1700464839668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_edvinkxs|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/edvinkxs/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_geniusguy777_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_geniusguy777_en.md
new file mode 100644
index 000000000000..1e89da5df80b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_geniusguy777_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_geniusguy777 DistilBertForSequenceClassification from geniusguy777
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_geniusguy777
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_geniusguy777` is a English model originally trained by geniusguy777.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_geniusguy777_en_5.2.0_3.0_1700455462055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_geniusguy777_en_5.2.0_3.0_1700455462055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_geniusguy777|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/geniusguy777/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_hejjo_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_hejjo_en.md
new file mode 100644
index 000000000000..e3af0c81a71a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_hejjo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_hejjo DistilBertForSequenceClassification from hejjo
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_hejjo
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_hejjo` is a English model originally trained by hejjo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hejjo_en_5.2.0_3.0_1700447084007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_hejjo_en_5.2.0_3.0_1700447084007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_hejjo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/hejjo/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_karimkhalil_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_karimkhalil_en.md
new file mode 100644
index 000000000000..295d186e50c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_karimkhalil_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_karimkhalil DistilBertForSequenceClassification from KarimKhalil
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_karimkhalil
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_karimkhalil` is a English model originally trained by KarimKhalil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_karimkhalil_en_5.2.0_3.0_1700461422630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_karimkhalil_en_5.2.0_3.0_1700461422630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_karimkhalil|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/KarimKhalil/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_luttufuttu_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_luttufuttu_en.md
new file mode 100644
index 000000000000..2a8511380b9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_luttufuttu_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_luttufuttu DistilBertForSequenceClassification from Luttufuttu
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_luttufuttu
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_luttufuttu` is a English model originally trained by Luttufuttu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_luttufuttu_en_5.2.0_3.0_1700491325853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_luttufuttu_en_5.2.0_3.0_1700491325853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_luttufuttu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Luttufuttu/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_nastorian_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_nastorian_en.md
new file mode 100644
index 000000000000..11edd6026443
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_nastorian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_nastorian DistilBertForSequenceClassification from nastorian
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_nastorian
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_nastorian` is a English model originally trained by nastorian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nastorian_en_5.2.0_3.0_1700481775691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nastorian_en_5.2.0_3.0_1700481775691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_nastorian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nastorian/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_saptarshidatta96_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_saptarshidatta96_en.md
new file mode 100644
index 000000000000..1ffbdc1ec6f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_saptarshidatta96_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_saptarshidatta96 DistilBertForSequenceClassification from saptarshidatta96
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_saptarshidatta96
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_saptarshidatta96` is a English model originally trained by saptarshidatta96.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_saptarshidatta96_en_5.2.0_3.0_1700451211680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_saptarshidatta96_en_5.2.0_3.0_1700451211680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_saptarshidatta96|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/saptarshidatta96/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_soldierofgod_rick_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_soldierofgod_rick_en.md
new file mode 100644
index 000000000000..5681dca357d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_soldierofgod_rick_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_soldierofgod_rick DistilBertForSequenceClassification from SoldierOfGod-Rick
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_soldierofgod_rick
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_soldierofgod_rick` is a English model originally trained by SoldierOfGod-Rick.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_soldierofgod_rick_en_5.2.0_3.0_1700440099192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_soldierofgod_rick_en_5.2.0_3.0_1700440099192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_soldierofgod_rick|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/SoldierOfGod-Rick/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_sukhendrasingh_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_sukhendrasingh_en.md
new file mode 100644
index 000000000000..2e2edf1ea91a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_3000_samples_sukhendrasingh_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_sukhendrasingh DistilBertForSequenceClassification from sukhendrasingh
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_sukhendrasingh
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_sukhendrasingh` is a English model originally trained by sukhendrasingh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sukhendrasingh_en_5.2.0_3.0_1700479198846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sukhendrasingh_en_5.2.0_3.0_1700479198846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_sukhendrasingh|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/sukhendrasingh/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_4500_lyrics_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_4500_lyrics_en.md
new file mode 100644
index 000000000000..71b4c9b901ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_4500_lyrics_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_4500_lyrics DistilBertForSequenceClassification from amanda-cristina
+author: John Snow Labs
+name: finetuning_sentiment_model_4500_lyrics
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_4500_lyrics` is a English model originally trained by amanda-cristina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_4500_lyrics_en_5.2.0_3.0_1700448946349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_4500_lyrics_en_5.2.0_3.0_1700448946349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_4500_lyrics|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/amanda-cristina/finetuning-sentiment-model-4500-lyrics
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_9000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_9000_samples_en.md
new file mode 100644
index 000000000000..e93ca0cf57a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_9000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_9000_samples DistilBertForSequenceClassification from SentiAnal
+author: John Snow Labs
+name: finetuning_sentiment_model_9000_samples
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_9000_samples` is a English model originally trained by SentiAnal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_9000_samples_en_5.2.0_3.0_1700445106516.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_9000_samples_en_5.2.0_3.0_1700445106516.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_9000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SentiAnal/finetuning-sentiment-model-9000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_tweet_bert_en.md b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_tweet_bert_en.md
new file mode 100644
index 000000000000..57275e53c9b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-finetuning_sentiment_model_tweet_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_tweet_bert DistilBertForSequenceClassification from LYTinn
+author: John Snow Labs
+name: finetuning_sentiment_model_tweet_bert
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_tweet_bert` is a English model originally trained by LYTinn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_tweet_bert_en_5.2.0_3.0_1700496105637.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_tweet_bert_en_5.2.0_3.0_1700496105637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_tweet_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/LYTinn/finetuning-sentiment-model-tweet-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-flood_detection_yasser_kaddoura_en.md b/docs/_posts/ahmedlone127/2023-11-20-flood_detection_yasser_kaddoura_en.md
new file mode 100644
index 000000000000..0a3eea43e0d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-flood_detection_yasser_kaddoura_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English flood_detection_yasser_kaddoura DistilBertForSequenceClassification from yasser-kaddoura
+author: John Snow Labs
+name: flood_detection_yasser_kaddoura
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`flood_detection_yasser_kaddoura` is a English model originally trained by yasser-kaddoura.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flood_detection_yasser_kaddoura_en_5.2.0_3.0_1700494006832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flood_detection_yasser_kaddoura_en_5.2.0_3.0_1700494006832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|flood_detection_yasser_kaddoura|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/yasser-kaddoura/flood_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-food_dbert_multiling_en.md b/docs/_posts/ahmedlone127/2023-11-20-food_dbert_multiling_en.md
new file mode 100644
index 000000000000..632d405b53f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-food_dbert_multiling_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English food_dbert_multiling DistilBertForTokenClassification from Dev-DGT
+author: John Snow Labs
+name: food_dbert_multiling
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`food_dbert_multiling` is a English model originally trained by Dev-DGT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/food_dbert_multiling_en_5.2.0_3.0_1700523152969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/food_dbert_multiling_en_5.2.0_3.0_1700523152969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|food_dbert_multiling|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/Dev-DGT/food-dbert-multiling
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-genres_distill_en.md b/docs/_posts/ahmedlone127/2023-11-20-genres_distill_en.md
new file mode 100644
index 000000000000..4feee22c662d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-genres_distill_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English genres_distill DistilBertForSequenceClassification from ssharoff
+author: John Snow Labs
+name: genres_distill
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`genres_distill` is a English model originally trained by ssharoff.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/genres_distill_en_5.2.0_3.0_1700441097418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/genres_distill_en_5.2.0_3.0_1700441097418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|genres_distill|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ssharoff/genres-distill
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-hraf_event_demo_en.md b/docs/_posts/ahmedlone127/2023-11-20-hraf_event_demo_en.md
new file mode 100644
index 000000000000..ba8de4c31336
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-hraf_event_demo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hraf_event_demo DistilBertForSequenceClassification from Chantland
+author: John Snow Labs
+name: hraf_event_demo
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hraf_event_demo` is a English model originally trained by Chantland.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hraf_event_demo_en_5.2.0_3.0_1700477128708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hraf_event_demo_en_5.2.0_3.0_1700477128708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hraf_event_demo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/Chantland/HRAF_EVENT_Demo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-kd_distilbert_clinc_davidaponte_en.md b/docs/_posts/ahmedlone127/2023-11-20-kd_distilbert_clinc_davidaponte_en.md
new file mode 100644
index 000000000000..e38df1612e0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-kd_distilbert_clinc_davidaponte_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English kd_distilbert_clinc_davidaponte DistilBertForSequenceClassification from davidaponte
+author: John Snow Labs
+name: kd_distilbert_clinc_davidaponte
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kd_distilbert_clinc_davidaponte` is a English model originally trained by davidaponte.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kd_distilbert_clinc_davidaponte_en_5.2.0_3.0_1700451432324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kd_distilbert_clinc_davidaponte_en_5.2.0_3.0_1700451432324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kd_distilbert_clinc_davidaponte|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/davidaponte/kd-distilBERT-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-knowledge_graph_nlp_en.md b/docs/_posts/ahmedlone127/2023-11-20-knowledge_graph_nlp_en.md
new file mode 100644
index 000000000000..3ca00c361d87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-knowledge_graph_nlp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English knowledge_graph_nlp DistilBertForTokenClassification from vishnun
+author: John Snow Labs
+name: knowledge_graph_nlp
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`knowledge_graph_nlp` is a English model originally trained by vishnun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/knowledge_graph_nlp_en_5.2.0_3.0_1700519488893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/knowledge_graph_nlp_en_5.2.0_3.0_1700519488893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|knowledge_graph_nlp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/vishnun/knowledge-graph-nlp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-lm_ner_linkedin_skills_recognition_en.md b/docs/_posts/ahmedlone127/2023-11-20-lm_ner_linkedin_skills_recognition_en.md
new file mode 100644
index 000000000000..bae9fc475203
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-lm_ner_linkedin_skills_recognition_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English lm_ner_linkedin_skills_recognition DistilBertForTokenClassification from algiraldohe
+author: John Snow Labs
+name: lm_ner_linkedin_skills_recognition
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lm_ner_linkedin_skills_recognition` is a English model originally trained by algiraldohe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lm_ner_linkedin_skills_recognition_en_5.2.0_3.0_1700520525717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lm_ner_linkedin_skills_recognition_en_5.2.0_3.0_1700520525717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mdistilbert_base_cased_ukrainian_toxicity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|uk|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/dardem/mdistilbert-base-cased-uk-toxicity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-media_bias_ukraine_dataset_all_minus_ukraine_en.md b/docs/_posts/ahmedlone127/2023-11-20-media_bias_ukraine_dataset_all_minus_ukraine_en.md
new file mode 100644
index 000000000000..a580c834abed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-media_bias_ukraine_dataset_all_minus_ukraine_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English media_bias_ukraine_dataset_all_minus_ukraine DistilBertForSequenceClassification from franfj
+author: John Snow Labs
+name: media_bias_ukraine_dataset_all_minus_ukraine
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`media_bias_ukraine_dataset_all_minus_ukraine` is a English model originally trained by franfj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/media_bias_ukraine_dataset_all_minus_ukraine_en_5.2.0_3.0_1700445026732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/media_bias_ukraine_dataset_all_minus_ukraine_en_5.2.0_3.0_1700445026732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|media_bias_ukraine_dataset_all_minus_ukraine|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/franfj/media-bias-ukraine-dataset-all-minus-ukraine
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-medicine_ner_en.md b/docs/_posts/ahmedlone127/2023-11-20-medicine_ner_en.md
new file mode 100644
index 000000000000..fe727e33d698
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-medicine_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English medicine_ner DistilBertForTokenClassification from jarvisx17
+author: John Snow Labs
+name: medicine_ner
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medicine_ner` is a English model originally trained by jarvisx17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medicine_ner_en_5.2.0_3.0_1700524755802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medicine_ner_en_5.2.0_3.0_1700524755802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medicine_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jarvisx17/medicine-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-mnli_distilbert_base_cased_en.md b/docs/_posts/ahmedlone127/2023-11-20-mnli_distilbert_base_cased_en.md
new file mode 100644
index 000000000000..54eabf944950
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-mnli_distilbert_base_cased_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mnli_distilbert_base_cased DistilBertForSequenceClassification from boychaboy
+author: John Snow Labs
+name: mnli_distilbert_base_cased
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mnli_distilbert_base_cased` is a English model originally trained by boychaboy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mnli_distilbert_base_cased_en_5.2.0_3.0_1700454722372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mnli_distilbert_base_cased_en_5.2.0_3.0_1700454722372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mnli_distilbert_base_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|246.0 MB|
+
+## References
+
+https://huggingface.co/boychaboy/MNLI_distilbert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-news_classifier_distilbert_base_uncased_subject_only_en.md b/docs/_posts/ahmedlone127/2023-11-20-news_classifier_distilbert_base_uncased_subject_only_en.md
new file mode 100644
index 000000000000..9bc3ad640b7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-news_classifier_distilbert_base_uncased_subject_only_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English news_classifier_distilbert_base_uncased_subject_only DistilBertForSequenceClassification from andypyc
+author: John Snow Labs
+name: news_classifier_distilbert_base_uncased_subject_only
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_classifier_distilbert_base_uncased_subject_only` is a English model originally trained by andypyc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_classifier_distilbert_base_uncased_subject_only_en_5.2.0_3.0_1700458445886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_classifier_distilbert_base_uncased_subject_only_en_5.2.0_3.0_1700458445886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_classifier_distilbert_base_uncased_subject_only|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andypyc/news_classifier-distilbert-base-uncased-subject-only
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-nlp_deep_project_en.md b/docs/_posts/ahmedlone127/2023-11-20-nlp_deep_project_en.md
new file mode 100644
index 000000000000..905d3308d207
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-nlp_deep_project_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_deep_project DistilBertForSequenceClassification from bamertl
+author: John Snow Labs
+name: nlp_deep_project
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_deep_project` is a English model originally trained by bamertl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_deep_project_en_5.2.0_3.0_1700486122586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_deep_project_en_5.2.0_3.0_1700486122586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_deep_project|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bamertl/nlp_deep_project
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-nlp_sentiment_project_2001_samples_en.md b/docs/_posts/ahmedlone127/2023-11-20-nlp_sentiment_project_2001_samples_en.md
new file mode 100644
index 000000000000..695506b89e60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-nlp_sentiment_project_2001_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_sentiment_project_2001_samples DistilBertForSequenceClassification from bwhite5311
+author: John Snow Labs
+name: nlp_sentiment_project_2001_samples
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_sentiment_project_2001_samples` is a English model originally trained by bwhite5311.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_sentiment_project_2001_samples_en_5.2.0_3.0_1700466618319.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_sentiment_project_2001_samples_en_5.2.0_3.0_1700466618319.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_sentiment_project_2001_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/bwhite5311/NLP-sentiment-project-2001-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-output_text_classification_en.md b/docs/_posts/ahmedlone127/2023-11-20-output_text_classification_en.md
new file mode 100644
index 000000000000..4d5fb8ba48a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-output_text_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English output_text_classification DistilBertForSequenceClassification from vihaim
+author: John Snow Labs
+name: output_text_classification
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_text_classification` is a English model originally trained by vihaim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_text_classification_en_5.2.0_3.0_1700457422498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_text_classification_en_5.2.0_3.0_1700457422498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_text_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vihaim/output_text_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-pat_classifier_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-20-pat_classifier_distilbert_en.md
new file mode 100644
index 000000000000..79959a5f8600
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-pat_classifier_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pat_classifier_distilbert DistilBertForSequenceClassification from leoliu
+author: John Snow Labs
+name: pat_classifier_distilbert
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pat_classifier_distilbert` is a English model originally trained by leoliu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pat_classifier_distilbert_en_5.2.0_3.0_1700444218820.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pat_classifier_distilbert_en_5.2.0_3.0_1700444218820.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pat_classifier_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/leoliu/pat_classifier_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-predict_perception_bertino_cause_object_en.md b/docs/_posts/ahmedlone127/2023-11-20-predict_perception_bertino_cause_object_en.md
new file mode 100644
index 000000000000..115aff22aef9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-predict_perception_bertino_cause_object_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English predict_perception_bertino_cause_object DistilBertForSequenceClassification from gossminn
+author: John Snow Labs
+name: predict_perception_bertino_cause_object
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`predict_perception_bertino_cause_object` is a English model originally trained by gossminn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/predict_perception_bertino_cause_object_en_5.2.0_3.0_1700479598661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/predict_perception_bertino_cause_object_en_5.2.0_3.0_1700479598661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|predict_perception_bertino_cause_object|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|255.2 MB|
+
+## References
+
+https://huggingface.co/gossminn/predict-perception-bertino-cause-object
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-products_ner_en.md b/docs/_posts/ahmedlone127/2023-11-20-products_ner_en.md
new file mode 100644
index 000000000000..4f1d74e7429a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-products_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English products_ner DistilBertForTokenClassification from rowdy-store
+author: John Snow Labs
+name: products_ner
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`products_ner` is a English model originally trained by rowdy-store.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/products_ner_en_5.2.0_3.0_1700522257521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/products_ner_en_5.2.0_3.0_1700522257521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|products_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rowdy-store/products-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-reddit_comment_sentiment_changed_en.md b/docs/_posts/ahmedlone127/2023-11-20-reddit_comment_sentiment_changed_en.md
new file mode 100644
index 000000000000..a060ad81d1e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-reddit_comment_sentiment_changed_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English reddit_comment_sentiment_changed DistilBertForSequenceClassification from AG6019
+author: John Snow Labs
+name: reddit_comment_sentiment_changed
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reddit_comment_sentiment_changed` is a English model originally trained by AG6019.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reddit_comment_sentiment_changed_en_5.2.0_3.0_1700452442085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reddit_comment_sentiment_changed_en_5.2.0_3.0_1700452442085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reddit_comment_sentiment_changed|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/AG6019/reddit-comment-sentiment-changed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-resume_ner_en.md b/docs/_posts/ahmedlone127/2023-11-20-resume_ner_en.md
new file mode 100644
index 000000000000..a6b23b13f9a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-resume_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English resume_ner DistilBertForTokenClassification from manishiitg
+author: John Snow Labs
+name: resume_ner
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`resume_ner` is a English model originally trained by manishiitg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/resume_ner_en_5.2.0_3.0_1700520525713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/resume_ner_en_5.2.0_3.0_1700520525713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|resume_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/manishiitg/resume-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-sagemaker_distilbert_emotion_anindabitm_en.md b/docs/_posts/ahmedlone127/2023-11-20-sagemaker_distilbert_emotion_anindabitm_en.md
new file mode 100644
index 000000000000..75e8e289c513
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-sagemaker_distilbert_emotion_anindabitm_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sagemaker_distilbert_emotion_anindabitm DistilBertForSequenceClassification from anindabitm
+author: John Snow Labs
+name: sagemaker_distilbert_emotion_anindabitm
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sagemaker_distilbert_emotion_anindabitm` is a English model originally trained by anindabitm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_anindabitm_en_5.2.0_3.0_1700441834950.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_anindabitm_en_5.2.0_3.0_1700441834950.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sagemaker_distilbert_emotion_anindabitm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/anindabitm/sagemaker-distilbert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-sagemaker_distilbert_emotion_lewtun_en.md b/docs/_posts/ahmedlone127/2023-11-20-sagemaker_distilbert_emotion_lewtun_en.md
new file mode 100644
index 000000000000..75a12d8884e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-sagemaker_distilbert_emotion_lewtun_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sagemaker_distilbert_emotion_lewtun DistilBertForSequenceClassification from lewtun
+author: John Snow Labs
+name: sagemaker_distilbert_emotion_lewtun
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sagemaker_distilbert_emotion_lewtun` is a English model originally trained by lewtun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_lewtun_en_5.2.0_3.0_1700472264456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_lewtun_en_5.2.0_3.0_1700472264456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sagemaker_distilbert_emotion_lewtun|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lewtun/sagemaker-distilbert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-sagemaker_distilbert_emotion_philschmid_en.md b/docs/_posts/ahmedlone127/2023-11-20-sagemaker_distilbert_emotion_philschmid_en.md
new file mode 100644
index 000000000000..2bf038d88ba8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-sagemaker_distilbert_emotion_philschmid_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sagemaker_distilbert_emotion_philschmid DistilBertForSequenceClassification from philschmid
+author: John Snow Labs
+name: sagemaker_distilbert_emotion_philschmid
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sagemaker_distilbert_emotion_philschmid` is a English model originally trained by philschmid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_philschmid_en_5.2.0_3.0_1700453813216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sagemaker_distilbert_emotion_philschmid_en_5.2.0_3.0_1700453813216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sagemaker_distilbert_emotion_philschmid|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/philschmid/sagemaker-distilbert-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-sentence_compression_en.md b/docs/_posts/ahmedlone127/2023-11-20-sentence_compression_en.md
new file mode 100644
index 000000000000..1a58fab95266
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-sentence_compression_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sentence_compression DistilBertForTokenClassification from AlexMaclean
+author: John Snow Labs
+name: sentence_compression
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_compression` is a English model originally trained by AlexMaclean.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_compression_en_5.2.0_3.0_1700522541345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_compression_en_5.2.0_3.0_1700522541345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentence_compression|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/AlexMaclean/sentence-compression
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-sentiment_analysis_danlupu_en.md b/docs/_posts/ahmedlone127/2023-11-20-sentiment_analysis_danlupu_en.md
new file mode 100644
index 000000000000..3e8799102e32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-sentiment_analysis_danlupu_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_danlupu DistilBertForSequenceClassification from danlupu
+author: John Snow Labs
+name: sentiment_analysis_danlupu
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_danlupu` is a English model originally trained by danlupu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_danlupu_en_5.2.0_3.0_1700442939687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_danlupu_en_5.2.0_3.0_1700442939687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_danlupu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/danlupu/sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-sentiment_model_amazon_reviews_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-20-sentiment_model_amazon_reviews_distilbert_en.md
new file mode 100644
index 000000000000..2b7760c3e838
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-sentiment_model_amazon_reviews_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_model_amazon_reviews_distilbert DistilBertForSequenceClassification from PabloAMC
+author: John Snow Labs
+name: sentiment_model_amazon_reviews_distilbert
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_model_amazon_reviews_distilbert` is a English model originally trained by PabloAMC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_model_amazon_reviews_distilbert_en_5.2.0_3.0_1700440162459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_model_amazon_reviews_distilbert_en_5.2.0_3.0_1700440162459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_model_amazon_reviews_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/PabloAMC/sentiment-model-amazon-reviews-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-shopping_list_ner_en.md b/docs/_posts/ahmedlone127/2023-11-20-shopping_list_ner_en.md
new file mode 100644
index 000000000000..0ea884e26096
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-shopping_list_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English shopping_list_ner DistilBertForTokenClassification from progg
+author: John Snow Labs
+name: shopping_list_ner
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`shopping_list_ner` is a English model originally trained by progg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/shopping_list_ner_en_5.2.0_3.0_1700523907474.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/shopping_list_ner_en_5.2.0_3.0_1700523907474.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|shopping_list_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/progg/shopping-list-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-skills_description_julian_big_en.md b/docs/_posts/ahmedlone127/2023-11-20-skills_description_julian_big_en.md
new file mode 100644
index 000000000000..1c6120a01966
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-skills_description_julian_big_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English skills_description_julian_big DistilBertForSequenceClassification from joblift-julian
+author: John Snow Labs
+name: skills_description_julian_big
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`skills_description_julian_big` is a English model originally trained by joblift-julian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/skills_description_julian_big_en_5.2.0_3.0_1700464144819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/skills_description_julian_big_en_5.2.0_3.0_1700464144819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|skills_description_julian_big|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/joblift-julian/skills_description_julian_big
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-text_tonga_tonga_islands_symptom_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-20-text_tonga_tonga_islands_symptom_distilbert_en.md
new file mode 100644
index 000000000000..3bb4ab2c71e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-text_tonga_tonga_islands_symptom_distilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English text_tonga_tonga_islands_symptom_distilbert DistilBertForSequenceClassification from DinaSalama
+author: John Snow Labs
+name: text_tonga_tonga_islands_symptom_distilbert
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_tonga_tonga_islands_symptom_distilbert` is a English model originally trained by DinaSalama.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_tonga_tonga_islands_symptom_distilbert_en_5.2.0_3.0_1700485222696.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_tonga_tonga_islands_symptom_distilbert_en_5.2.0_3.0_1700485222696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_tonga_tonga_islands_symptom_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/DinaSalama/text_to_symptom_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-tiny_random_distilbertfortokenclassification_hf_internal_testing_en.md b/docs/_posts/ahmedlone127/2023-11-20-tiny_random_distilbertfortokenclassification_hf_internal_testing_en.md
new file mode 100644
index 000000000000..9a22a9719c14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-tiny_random_distilbertfortokenclassification_hf_internal_testing_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_random_distilbertfortokenclassification_hf_internal_testing DistilBertForTokenClassification from hf-internal-testing
+author: John Snow Labs
+name: tiny_random_distilbertfortokenclassification_hf_internal_testing
+date: 2023-11-20
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_random_distilbertfortokenclassification_hf_internal_testing` is a English model originally trained by hf-internal-testing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_distilbertfortokenclassification_hf_internal_testing_en_5.2.0_3.0_1700521136604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_distilbertfortokenclassification_hf_internal_testing_en_5.2.0_3.0_1700521136604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_distilbertfortokenclassification_hf_internal_testing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|347.3 KB|
+
+## References
+
+https://huggingface.co/hf-internal-testing/tiny-random-DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-20-uk_energy_industry_complaints_identifier_ver1_en.md b/docs/_posts/ahmedlone127/2023-11-20-uk_energy_industry_complaints_identifier_ver1_en.md
new file mode 100644
index 000000000000..4cd8bfd2eb7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-20-uk_energy_industry_complaints_identifier_ver1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English uk_energy_industry_complaints_identifier_ver1 DistilBertForSequenceClassification from CalamitousVisibility
+author: John Snow Labs
+name: uk_energy_industry_complaints_identifier_ver1
+date: 2023-11-20
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`uk_energy_industry_complaints_identifier_ver1` is a English model originally trained by CalamitousVisibility.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uk_energy_industry_complaints_identifier_ver1_en_5.2.0_3.0_1700449685328.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uk_energy_industry_complaints_identifier_ver1_en_5.2.0_3.0_1700449685328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uk_energy_industry_complaints_identifier_ver1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/CalamitousVisibility/UK_Energy_Industry_Complaints_Identifier_ver1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-address_ner_german_de.md b/docs/_posts/ahmedlone127/2023-11-21-address_ner_german_de.md
new file mode 100644
index 000000000000..c6c45921b11f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-address_ner_german_de.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: German address_ner_german DistilBertForTokenClassification from dswah
+author: John Snow Labs
+name: address_ner_german
+date: 2023-11-21
+tags: [bert, de, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`address_ner_german` is a German model originally trained by dswah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/address_ner_german_de_5.2.0_3.0_1700526670428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/address_ner_german_de_5.2.0_3.0_1700526670428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|address_ner_german|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/dswah/address-ner-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-affilgood_ner_test_v2_en.md b/docs/_posts/ahmedlone127/2023-11-21-affilgood_ner_test_v2_en.md
new file mode 100644
index 000000000000..7b82d1fae1a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-affilgood_ner_test_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English affilgood_ner_test_v2 DistilBertForTokenClassification from nicolauduran45
+author: John Snow Labs
+name: affilgood_ner_test_v2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`affilgood_ner_test_v2` is a English model originally trained by nicolauduran45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/affilgood_ner_test_v2_en_5.2.0_3.0_1700524902951.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/affilgood_ner_test_v2_en_5.2.0_3.0_1700524902951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|affilgood_ner_test_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/nicolauduran45/affilgood-ner-test-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-ai4all_ucsf_reddit_2023_age_en.md b/docs/_posts/ahmedlone127/2023-11-21-ai4all_ucsf_reddit_2023_age_en.md
new file mode 100644
index 000000000000..93a46d3afd24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-ai4all_ucsf_reddit_2023_age_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ai4all_ucsf_reddit_2023_age DistilBertForTokenClassification from kc928
+author: John Snow Labs
+name: ai4all_ucsf_reddit_2023_age
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai4all_ucsf_reddit_2023_age` is a English model originally trained by kc928.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai4all_ucsf_reddit_2023_age_en_5.2.0_3.0_1700573537295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai4all_ucsf_reddit_2023_age_en_5.2.0_3.0_1700573537295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ai4all_ucsf_reddit_2023_age|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/kc928/AI4ALL-UCSF-Reddit-2023-Age
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-akai_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-akai_ner_en.md
new file mode 100644
index 000000000000..a42d479f90f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-akai_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English akai_ner DistilBertForTokenClassification from GautamR
+author: John Snow Labs
+name: akai_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`akai_ner` is a English model originally trained by GautamR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/akai_ner_en_5.2.0_3.0_1700535603477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/akai_ner_en_5.2.0_3.0_1700535603477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|akai_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/GautamR/akai_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-arabic2023_ner_model_en.md b/docs/_posts/ahmedlone127/2023-11-21-arabic2023_ner_model_en.md
new file mode 100644
index 000000000000..3775dd7534bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-arabic2023_ner_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English arabic2023_ner_model DistilBertForTokenClassification from Falah
+author: John Snow Labs
+name: arabic2023_ner_model
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabic2023_ner_model` is a English model originally trained by Falah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabic2023_ner_model_en_5.2.0_3.0_1700577444085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabic2023_ner_model_en_5.2.0_3.0_1700577444085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabic2023_ner_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Falah/arabic2023_ner_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-aspect_extraction_laptop_reviews_en.md b/docs/_posts/ahmedlone127/2023-11-21-aspect_extraction_laptop_reviews_en.md
new file mode 100644
index 000000000000..26b1696586c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-aspect_extraction_laptop_reviews_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English aspect_extraction_laptop_reviews DistilBertForTokenClassification from jannikseus
+author: John Snow Labs
+name: aspect_extraction_laptop_reviews
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aspect_extraction_laptop_reviews` is a English model originally trained by jannikseus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aspect_extraction_laptop_reviews_en_5.2.0_3.0_1700581685469.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aspect_extraction_laptop_reviews_en_5.2.0_3.0_1700581685469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aspect_extraction_laptop_reviews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jannikseus/aspect_extraction_laptop_reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-aspect_extraction_restaurant_reviews_en.md b/docs/_posts/ahmedlone127/2023-11-21-aspect_extraction_restaurant_reviews_en.md
new file mode 100644
index 000000000000..47082ea9845d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-aspect_extraction_restaurant_reviews_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English aspect_extraction_restaurant_reviews DistilBertForTokenClassification from jannikseus
+author: John Snow Labs
+name: aspect_extraction_restaurant_reviews
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aspect_extraction_restaurant_reviews` is a English model originally trained by jannikseus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aspect_extraction_restaurant_reviews_en_5.2.0_3.0_1700566233686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aspect_extraction_restaurant_reviews_en_5.2.0_3.0_1700566233686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aspect_extraction_restaurant_reviews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jannikseus/aspect_extraction_restaurant_reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-aspect_extractor_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-21-aspect_extractor_distilbert_en.md
new file mode 100644
index 000000000000..48916fd92fd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-aspect_extractor_distilbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English aspect_extractor_distilbert DistilBertForTokenClassification from Joshwabail
+author: John Snow Labs
+name: aspect_extractor_distilbert
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`aspect_extractor_distilbert` is a English model originally trained by Joshwabail.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/aspect_extractor_distilbert_en_5.2.0_3.0_1700541903422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/aspect_extractor_distilbert_en_5.2.0_3.0_1700541903422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|aspect_extractor_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Joshwabail/aspect_extractor_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-bert_b08_en.md b/docs/_posts/ahmedlone127/2023-11-21-bert_b08_en.md
new file mode 100644
index 000000000000..c0bad2fc28f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-bert_b08_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_b08 DistilBertForTokenClassification from LazzeKappa
+author: John Snow Labs
+name: bert_b08
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_b08` is a English model originally trained by LazzeKappa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_b08_en_5.2.0_3.0_1700529116297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_b08_en_5.2.0_3.0_1700529116297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_b08|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/LazzeKappa/BERT_B08
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-bert_base_dutch_cased_finetuned_mbert_en.md b/docs/_posts/ahmedlone127/2023-11-21-bert_base_dutch_cased_finetuned_mbert_en.md
new file mode 100644
index 000000000000..ff96a22a9c41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-bert_base_dutch_cased_finetuned_mbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_dutch_cased_finetuned_mbert DistilBertForTokenClassification from Matthijsvanhof
+author: John Snow Labs
+name: bert_base_dutch_cased_finetuned_mbert
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_dutch_cased_finetuned_mbert` is a English model originally trained by Matthijsvanhof.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_mbert_en_5.2.0_3.0_1700536744253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_mbert_en_5.2.0_3.0_1700536744253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_finetuned_mbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/Matthijsvanhof/bert-base-dutch-cased-finetuned-mBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-bert_base_ner_058_10_en.md b/docs/_posts/ahmedlone127/2023-11-21-bert_base_ner_058_10_en.md
new file mode 100644
index 000000000000..638b9494f038
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-bert_base_ner_058_10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_base_ner_058_10 DistilBertForTokenClassification from NguyenVanHieu1605
+author: John Snow Labs
+name: bert_base_ner_058_10
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_ner_058_10` is a English model originally trained by NguyenVanHieu1605.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_ner_058_10_en_5.2.0_3.0_1700553049282.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_ner_058_10_en_5.2.0_3.0_1700553049282.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_ner_058_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/NguyenVanHieu1605/bert-base-ner-058-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-bert_concept_extraction_indoiranian_languages_from_kp20k_v1_1_en.md b/docs/_posts/ahmedlone127/2023-11-21-bert_concept_extraction_indoiranian_languages_from_kp20k_v1_1_en.md
new file mode 100644
index 000000000000..f7c40c55dce7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-bert_concept_extraction_indoiranian_languages_from_kp20k_v1_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_concept_extraction_indoiranian_languages_from_kp20k_v1_1 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: bert_concept_extraction_indoiranian_languages_from_kp20k_v1_1
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_concept_extraction_indoiranian_languages_from_kp20k_v1_1` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_concept_extraction_indoiranian_languages_from_kp20k_v1_1_en_5.2.0_3.0_1700535482568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_concept_extraction_indoiranian_languages_from_kp20k_v1_1_en_5.2.0_3.0_1700535482568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_concept_extraction_indoiranian_languages_from_kp20k_v1_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/bert_concept_extraction_iir_from_kp20k_v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-bert_concept_extraction_kp20k_from_indoiranian_languages_v1_1_en.md b/docs/_posts/ahmedlone127/2023-11-21-bert_concept_extraction_kp20k_from_indoiranian_languages_v1_1_en.md
new file mode 100644
index 000000000000..07a73a776cf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-bert_concept_extraction_kp20k_from_indoiranian_languages_v1_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_concept_extraction_kp20k_from_indoiranian_languages_v1_1 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: bert_concept_extraction_kp20k_from_indoiranian_languages_v1_1
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_concept_extraction_kp20k_from_indoiranian_languages_v1_1` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_concept_extraction_kp20k_from_indoiranian_languages_v1_1_en_5.2.0_3.0_1700571721291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_concept_extraction_kp20k_from_indoiranian_languages_v1_1_en_5.2.0_3.0_1700571721291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_concept_extraction_kp20k_from_indoiranian_languages_v1_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/bert_concept_extraction_kp20k_from_iir_v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-bert_cybersecurity_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-bert_cybersecurity_ner_en.md
new file mode 100644
index 000000000000..0f1202cea1d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-bert_cybersecurity_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_cybersecurity_ner DistilBertForTokenClassification from danitamayo
+author: John Snow Labs
+name: bert_cybersecurity_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_cybersecurity_ner` is a English model originally trained by danitamayo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cybersecurity_ner_en_5.2.0_3.0_1700525254778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cybersecurity_ner_en_5.2.0_3.0_1700525254778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cybersecurity_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/danitamayo/bert-cybersecurity-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-bert_finetuned_ner_illiadagil_en.md b/docs/_posts/ahmedlone127/2023-11-21-bert_finetuned_ner_illiadagil_en.md
new file mode 100644
index 000000000000..8123e46f42da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-bert_finetuned_ner_illiadagil_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_illiadagil DistilBertForTokenClassification from illiadagil
+author: John Snow Labs
+name: bert_finetuned_ner_illiadagil
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_illiadagil` is a English model originally trained by illiadagil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_illiadagil_en_5.2.0_3.0_1700590208408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_illiadagil_en_5.2.0_3.0_1700590208408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_illiadagil|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/illiadagil/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-bert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-bert_ner_en.md
new file mode 100644
index 000000000000..5e204801282d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-bert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_ner DistilBertForTokenClassification from Kriyans
+author: John Snow Labs
+name: bert_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_ner` is a English model originally trained by Kriyans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_ner_en_5.2.0_3.0_1700525169497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_ner_en_5.2.0_3.0_1700525169497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertoslav_limited_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|sk|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/crabz/bertoslav-limited-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-biomedical_ner_all_anonimization_try_4_en.md b/docs/_posts/ahmedlone127/2023-11-21-biomedical_ner_all_anonimization_try_4_en.md
new file mode 100644
index 000000000000..04a42349f455
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-biomedical_ner_all_anonimization_try_4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical_ner_all_anonimization_try_4 DistilBertForTokenClassification from Juan281992
+author: John Snow Labs
+name: biomedical_ner_all_anonimization_try_4
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedical_ner_all_anonimization_try_4` is a English model originally trained by Juan281992.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_4_en_5.2.0_3.0_1700586705926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_4_en_5.2.0_3.0_1700586705926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical_ner_all_anonimization_try_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Juan281992/biomedical-ner-all-anonimization_TRY_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-biomedical_ner_maccrobat_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-21-biomedical_ner_maccrobat_distilbert_en.md
new file mode 100644
index 000000000000..fb708a738bec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-biomedical_ner_maccrobat_distilbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical_ner_maccrobat_distilbert DistilBertForTokenClassification from vineetsharma
+author: John Snow Labs
+name: biomedical_ner_maccrobat_distilbert
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedical_ner_maccrobat_distilbert` is a English model originally trained by vineetsharma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_ner_maccrobat_distilbert_en_5.2.0_3.0_1700526530519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_ner_maccrobat_distilbert_en_5.2.0_3.0_1700526530519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical_ner_maccrobat_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.5 MB|
+
+## References
+
+https://huggingface.co/vineetsharma/BioMedical_NER-maccrobat-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_en.md
new file mode 100644
index 000000000000..9af87232f8a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_address_tokenizer_model DistilBertForTokenClassification from bhattronak
+author: John Snow Labs
+name: burmese_awesome_address_tokenizer_model
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_address_tokenizer_model` is a English model originally trained by bhattronak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_en_5.2.0_3.0_1700529513538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_en_5.2.0_3.0_1700529513538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_address_tokenizer_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bhattronak/my-awesome-address-tokenizer-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v1_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v1_en.md
new file mode 100644
index 000000000000..d048d6a6223f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_address_tokenizer_model_v1 DistilBertForTokenClassification from bhattronak
+author: John Snow Labs
+name: burmese_awesome_address_tokenizer_model_v1
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_address_tokenizer_model_v1` is a English model originally trained by bhattronak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v1_en_5.2.0_3.0_1700538467788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v1_en_5.2.0_3.0_1700538467788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_address_tokenizer_model_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bhattronak/my-awesome-address-tokenizer-model-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v2_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v2_en.md
new file mode 100644
index 000000000000..5f37445bc7c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_address_tokenizer_model_v2 DistilBertForTokenClassification from bhattronak
+author: John Snow Labs
+name: burmese_awesome_address_tokenizer_model_v2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_address_tokenizer_model_v2` is a English model originally trained by bhattronak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v2_en_5.2.0_3.0_1700535482560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v2_en_5.2.0_3.0_1700535482560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_address_tokenizer_model_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bhattronak/my-awesome-address-tokenizer-model-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v4_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v4_en.md
new file mode 100644
index 000000000000..bb7718e72d52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_address_tokenizer_model_v4 DistilBertForTokenClassification from bhattronak
+author: John Snow Labs
+name: burmese_awesome_address_tokenizer_model_v4
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_address_tokenizer_model_v4` is a English model originally trained by bhattronak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v4_en_5.2.0_3.0_1700526422149.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v4_en_5.2.0_3.0_1700526422149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_address_tokenizer_model_v4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bhattronak/my-awesome-address-tokenizer-model-v4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v5_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v5_en.md
new file mode 100644
index 000000000000..9bd0297490b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_address_tokenizer_model_v5 DistilBertForTokenClassification from bhattronak
+author: John Snow Labs
+name: burmese_awesome_address_tokenizer_model_v5
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_address_tokenizer_model_v5` is a English model originally trained by bhattronak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v5_en_5.2.0_3.0_1700533873359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v5_en_5.2.0_3.0_1700533873359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_address_tokenizer_model_v5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bhattronak/my-awesome-address-tokenizer-model-v5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v8_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v8_en.md
new file mode 100644
index 000000000000..9e1ae2157565
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_address_tokenizer_model_v8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_address_tokenizer_model_v8 DistilBertForTokenClassification from bhattronak
+author: John Snow Labs
+name: burmese_awesome_address_tokenizer_model_v8
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_address_tokenizer_model_v8` is a English model originally trained by bhattronak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v8_en_5.2.0_3.0_1700532783120.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v8_en_5.2.0_3.0_1700532783120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_address_tokenizer_model_v8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bhattronak/my-awesome-address-tokenizer-model-v8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_ukrsynth_model_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_ukrsynth_model_en.md
new file mode 100644
index 000000000000..b91ed45a8e55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_ukrsynth_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_ukrsynth_model DistilBertForTokenClassification from Olehlpnu
+author: John Snow Labs
+name: burmese_awesome_ukrsynth_model
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_ukrsynth_model` is a English model originally trained by Olehlpnu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_ukrsynth_model_en_5.2.0_3.0_1700585581410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_ukrsynth_model_en_5.2.0_3.0_1700585581410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_ukrsynth_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Olehlpnu/my_awesome_UkrSynth_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_wnut_model_bobbyw_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_wnut_model_bobbyw_en.md
new file mode 100644
index 000000000000..de59c643dbe8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_wnut_model_bobbyw_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_bobbyw DistilBertForTokenClassification from bobbyw
+author: John Snow Labs
+name: burmese_awesome_wnut_model_bobbyw
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_bobbyw` is a English model originally trained by bobbyw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_bobbyw_en_5.2.0_3.0_1700533873234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_bobbyw_en_5.2.0_3.0_1700533873234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_bobbyw|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bobbyw/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_wnut_model_olivermueller_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_wnut_model_olivermueller_en.md
new file mode 100644
index 000000000000..f16efc7cf3c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_wnut_model_olivermueller_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_olivermueller DistilBertForTokenClassification from olivermueller
+author: John Snow Labs
+name: burmese_awesome_wnut_model_olivermueller
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_olivermueller` is a English model originally trained by olivermueller.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_olivermueller_en_5.2.0_3.0_1700540822793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_olivermueller_en_5.2.0_3.0_1700540822793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_olivermueller|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/olivermueller/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_wnut_model_quinta6728_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_wnut_model_quinta6728_en.md
new file mode 100644
index 000000000000..71a987c531af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_awesome_wnut_model_quinta6728_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_quinta6728 DistilBertForTokenClassification from Quinta6728
+author: John Snow Labs
+name: burmese_awesome_wnut_model_quinta6728
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_quinta6728` is a English model originally trained by Quinta6728.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_quinta6728_en_5.2.0_3.0_1700540709865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_quinta6728_en_5.2.0_3.0_1700540709865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_quinta6728|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Quinta6728/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_model_arunasaraswathy_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_model_arunasaraswathy_en.md
new file mode 100644
index 000000000000..34d856091fac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_model_arunasaraswathy_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_model_arunasaraswathy DistilBertForTokenClassification from ArunaSaraswathy
+author: John Snow Labs
+name: burmese_model_arunasaraswathy
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_arunasaraswathy` is a English model originally trained by ArunaSaraswathy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_arunasaraswathy_en_5.2.0_3.0_1700576885555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_arunasaraswathy_en_5.2.0_3.0_1700576885555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_model_arunasaraswathy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/ArunaSaraswathy/my_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-burmese_ner_model_tirendaz_en.md b/docs/_posts/ahmedlone127/2023-11-21-burmese_ner_model_tirendaz_en.md
new file mode 100644
index 000000000000..16a6ae3b7e2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-burmese_ner_model_tirendaz_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_ner_model_tirendaz DistilBertForTokenClassification from Tirendaz
+author: John Snow Labs
+name: burmese_ner_model_tirendaz
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_ner_model_tirendaz` is a English model originally trained by Tirendaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_ner_model_tirendaz_en_5.2.0_3.0_1700525744479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_ner_model_tirendaz_en_5.2.0_3.0_1700525744479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_ner_model_tirendaz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Tirendaz/my_ner_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-claims_data_model_lunerwalker2_en.md b/docs/_posts/ahmedlone127/2023-11-21-claims_data_model_lunerwalker2_en.md
new file mode 100644
index 000000000000..bc2516506ba3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-claims_data_model_lunerwalker2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English claims_data_model_lunerwalker2 DistilBertForTokenClassification from Lunerwalker2
+author: John Snow Labs
+name: claims_data_model_lunerwalker2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`claims_data_model_lunerwalker2` is a English model originally trained by Lunerwalker2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/claims_data_model_lunerwalker2_en_5.2.0_3.0_1700569700057.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/claims_data_model_lunerwalker2_en_5.2.0_3.0_1700569700057.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|claims_data_model_lunerwalker2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Lunerwalker2/claims-data-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_all_01_03_2022_15_43_47_en.md b/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_all_01_03_2022_15_43_47_en.md
new file mode 100644
index 000000000000..0593e54c3156
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_all_01_03_2022_15_43_47_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English correct_distilbert_token_itr0_1e_05_all_01_03_2022_15_43_47 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: correct_distilbert_token_itr0_1e_05_all_01_03_2022_15_43_47
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`correct_distilbert_token_itr0_1e_05_all_01_03_2022_15_43_47` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/correct_distilbert_token_itr0_1e_05_all_01_03_2022_15_43_47_en_5.2.0_3.0_1700572576182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/correct_distilbert_token_itr0_1e_05_all_01_03_2022_15_43_47_en_5.2.0_3.0_1700572576182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|correct_distilbert_token_itr0_1e_05_all_01_03_2022_15_43_47|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/correct_distilBERT_token_itr0_1e-05_all_01_03_2022-15_43_47
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_editorials_01_03_2022_15_42_32_en.md b/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_editorials_01_03_2022_15_42_32_en.md
new file mode 100644
index 000000000000..30399924d4aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_editorials_01_03_2022_15_42_32_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English correct_distilbert_token_itr0_1e_05_editorials_01_03_2022_15_42_32 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: correct_distilbert_token_itr0_1e_05_editorials_01_03_2022_15_42_32
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`correct_distilbert_token_itr0_1e_05_editorials_01_03_2022_15_42_32` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/correct_distilbert_token_itr0_1e_05_editorials_01_03_2022_15_42_32_en_5.2.0_3.0_1700545428933.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/correct_distilbert_token_itr0_1e_05_editorials_01_03_2022_15_42_32_en_5.2.0_3.0_1700545428933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|correct_distilbert_token_itr0_1e_05_editorials_01_03_2022_15_42_32|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/correct_distilBERT_token_itr0_1e-05_editorials_01_03_2022-15_42_32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_essays_01_03_2022_15_41_29_en.md b/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_essays_01_03_2022_15_41_29_en.md
new file mode 100644
index 000000000000..5729fce26f9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_essays_01_03_2022_15_41_29_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English correct_distilbert_token_itr0_1e_05_essays_01_03_2022_15_41_29 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: correct_distilbert_token_itr0_1e_05_essays_01_03_2022_15_41_29
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`correct_distilbert_token_itr0_1e_05_essays_01_03_2022_15_41_29` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/correct_distilbert_token_itr0_1e_05_essays_01_03_2022_15_41_29_en_5.2.0_3.0_1700543060483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/correct_distilbert_token_itr0_1e_05_essays_01_03_2022_15_41_29_en_5.2.0_3.0_1700543060483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|correct_distilbert_token_itr0_1e_05_essays_01_03_2022_15_41_29|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/correct_distilBERT_token_itr0_1e-05_essays_01_03_2022-15_41_29
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_40_24_en.md b/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_40_24_en.md
new file mode 100644
index 000000000000..b83ffacf0502
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-correct_distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_40_24_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English correct_distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_40_24 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: correct_distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_40_24
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`correct_distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_40_24` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/correct_distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_40_24_en_5.2.0_3.0_1700567866172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/correct_distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_40_24_en_5.2.0_3.0_1700567866172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|correct_distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_40_24|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/correct_distilBERT_token_itr0_1e-05_webDiscourse_01_03_2022-15_40_24
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-custom_ner_model_viajes_en.md b/docs/_posts/ahmedlone127/2023-11-21-custom_ner_model_viajes_en.md
new file mode 100644
index 000000000000..13eb7a28b2b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-custom_ner_model_viajes_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English custom_ner_model_viajes DistilBertForTokenClassification from hucruz
+author: John Snow Labs
+name: custom_ner_model_viajes
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`custom_ner_model_viajes` is a English model originally trained by hucruz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/custom_ner_model_viajes_en_5.2.0_3.0_1700570535355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/custom_ner_model_viajes_en_5.2.0_3.0_1700570535355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|custom_ner_model_viajes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/hucruz/custom-ner-model-viajes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-cybersecurity_ner_bnsapa_en.md b/docs/_posts/ahmedlone127/2023-11-21-cybersecurity_ner_bnsapa_en.md
new file mode 100644
index 000000000000..799b45b9f452
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-cybersecurity_ner_bnsapa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English cybersecurity_ner_bnsapa DistilBertForTokenClassification from bnsapa
+author: John Snow Labs
+name: cybersecurity_ner_bnsapa
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cybersecurity_ner_bnsapa` is a English model originally trained by bnsapa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cybersecurity_ner_bnsapa_en_5.2.0_3.0_1700548582368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cybersecurity_ner_bnsapa_en_5.2.0_3.0_1700548582368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cybersecurity_ner_bnsapa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bnsapa/cybersecurity-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-cybersecurity_ner_sudipadhikari_en.md b/docs/_posts/ahmedlone127/2023-11-21-cybersecurity_ner_sudipadhikari_en.md
new file mode 100644
index 000000000000..92cde17c3d2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-cybersecurity_ner_sudipadhikari_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English cybersecurity_ner_sudipadhikari DistilBertForTokenClassification from sudipadhikari
+author: John Snow Labs
+name: cybersecurity_ner_sudipadhikari
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cybersecurity_ner_sudipadhikari` is a English model originally trained by sudipadhikari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cybersecurity_ner_sudipadhikari_en_5.2.0_3.0_1700530787903.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cybersecurity_ner_sudipadhikari_en_5.2.0_3.0_1700530787903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cybersecurity_ner_sudipadhikari|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sudipadhikari/cybersecurity_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-cybonto_distilbert_base_uncased_finetuned_ner_wnut17_en.md b/docs/_posts/ahmedlone127/2023-11-21-cybonto_distilbert_base_uncased_finetuned_ner_wnut17_en.md
new file mode 100644
index 000000000000..6a06d4b6e03d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-cybonto_distilbert_base_uncased_finetuned_ner_wnut17_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English cybonto_distilbert_base_uncased_finetuned_ner_wnut17 DistilBertForTokenClassification from theResearchNinja
+author: John Snow Labs
+name: cybonto_distilbert_base_uncased_finetuned_ner_wnut17
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cybonto_distilbert_base_uncased_finetuned_ner_wnut17` is a English model originally trained by theResearchNinja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cybonto_distilbert_base_uncased_finetuned_ner_wnut17_en_5.2.0_3.0_1700570732176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cybonto_distilbert_base_uncased_finetuned_ner_wnut17_en_5.2.0_3.0_1700570732176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cybonto_distilbert_base_uncased_finetuned_ner_wnut17|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/theResearchNinja/Cybonto-distilbert-base-uncased-finetuned-ner-Wnut17
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-dir_distilbert_base_ner_058_en.md b/docs/_posts/ahmedlone127/2023-11-21-dir_distilbert_base_ner_058_en.md
new file mode 100644
index 000000000000..ab9e0ed9166b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-dir_distilbert_base_ner_058_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dir_distilbert_base_ner_058 DistilBertForTokenClassification from NguyenVanHieu1605
+author: John Snow Labs
+name: dir_distilbert_base_ner_058
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dir_distilbert_base_ner_058` is a English model originally trained by NguyenVanHieu1605.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dir_distilbert_base_ner_058_en_5.2.0_3.0_1700563690803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dir_distilbert_base_ner_058_en_5.2.0_3.0_1700563690803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dir_distilbert_base_ner_058|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/NguyenVanHieu1605/dir-distilbert-base-ner-058
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0_en.md
new file mode 100644
index 000000000000..1daab3d8c658
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0_en_5.2.0_3.0_1700553893749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0_en_5.2.0_3.0_1700553893749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-iir-v1.0-concept-extraction-kp20k-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4_en.md
new file mode 100644
index 000000000000..2a844b8da183
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4_en_5.2.0_3.0_1700550517628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4_en_5.2.0_3.0_1700550517628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-iir-v1.0-concept-extraction-kp20k-v1.4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_en.md
new file mode 100644
index 000000000000..28fe5e185051
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_en_5.2.0_3.0_1700560117872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0_en_5.2.0_3.0_1700560117872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_indoiranian_languages_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-iir-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2_en.md
new file mode 100644
index 000000000000..89109c91530a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2_en_5.2.0_3.0_1700576937642.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2_en_5.2.0_3.0_1700576937642.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-iir-v1.2-concept-extraction-kp20k-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5_en.md
new file mode 100644
index 000000000000..979b4926e0fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5_en_5.2.0_3.0_1700585581514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5_en_5.2.0_3.0_1700585581514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-iir-v1.2-concept-extraction-kp20k-v1.5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_en.md
new file mode 100644
index 000000000000..1e5e1f14a208
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_en_5.2.0_3.0_1700562817705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2_en_5.2.0_3.0_1700562817705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_indoiranian_languages_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-iir-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_3_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_3_en.md
new file mode 100644
index 000000000000..d3d4cf309006
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_indoiranian_languages_v1_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_indoiranian_languages_v1_3 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_indoiranian_languages_v1_3
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_indoiranian_languages_v1_3` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_3_en_5.2.0_3.0_1700565903963.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_indoiranian_languages_v1_3_en_5.2.0_3.0_1700565903963.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_indoiranian_languages_v1_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-iir-v1.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3_en.md
new file mode 100644
index 000000000000..7d575fb08116
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3_en_5.2.0_3.0_1700574438032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3_en_5.2.0_3.0_1700574438032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-kp20k-v1.0-concept-extraction-wikipedia-v1.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_0_en.md
new file mode 100644
index 000000000000..2a7c5b259ffb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_kp20k_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_kp20k_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_kp20k_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_0_en_5.2.0_3.0_1700565355521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_0_en_5.2.0_3.0_1700565355521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_kp20k_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-kp20k-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0_en.md
new file mode 100644
index 000000000000..e30ceb0bbaf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0_en_5.2.0_3.0_1700553888684.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0_en_5.2.0_3.0_1700553888684.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-kp20k-v1.2-concept-extraction-allwikipedia-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2_en.md
new file mode 100644
index 000000000000..5995331be8c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2_en_5.2.0_3.0_1700554866418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2_en_5.2.0_3.0_1700554866418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-kp20k-v1.2-concept-extraction-wikipedia-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_2_en.md
new file mode 100644
index 000000000000..8cdcb3838555
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_kp20k_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_kp20k_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_kp20k_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_kp20k_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_2_en_5.2.0_3.0_1700566331314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_kp20k_v1_2_en_5.2.0_3.0_1700566331314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_kp20k_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-kp20k-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3_en.md
new file mode 100644
index 000000000000..ad835bf9c216
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3_en_5.2.0_3.0_1700543972476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3_en_5.2.0_3.0_1700543972476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-wikipedia-v1.0-concept-extraction-iir-v1.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_0_en.md
new file mode 100644
index 000000000000..0011dcb16b74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_wikipedia_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_wikipedia_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_wikipedia_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_wikipedia_v1_0_en_5.2.0_3.0_1700570728839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_wikipedia_v1_0_en_5.2.0_3.0_1700570728839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_wikipedia_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-wikipedia-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2_en.md
new file mode 100644
index 000000000000..1a4611052be9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2_en_5.2.0_3.0_1700568491945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2_en_5.2.0_3.0_1700568491945.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-wikipedia-v1.2-concept-extraction-iir-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_2_en.md
new file mode 100644
index 000000000000..a44e7347e00f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_concept_extraction_wikipedia_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_concept_extraction_wikipedia_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_cased_concept_extraction_wikipedia_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_concept_extraction_wikipedia_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_wikipedia_v1_2_en_5.2.0_3.0_1700526734591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_concept_extraction_wikipedia_v1_2_en_5.2.0_3.0_1700526734591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_concept_extraction_wikipedia_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-cased-concept-extraction-wikipedia-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_chunk_3_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_chunk_3_en.md
new file mode 100644
index 000000000000..680755591f61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_chunk_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_chunk_3 DistilBertForTokenClassification from RobW
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_chunk_3
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_chunk_3` is a English model originally trained by RobW.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_chunk_3_en_5.2.0_3.0_1700563690844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_chunk_3_en_5.2.0_3.0_1700563690844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_chunk_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/RobW/distilbert-base-cased-finetuned-chunk-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_chunk_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_chunk_en.md
new file mode 100644
index 000000000000..1367ddf410c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_chunk_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_chunk DistilBertForTokenClassification from RobW
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_chunk
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_chunk` is a English model originally trained by RobW.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_chunk_en_5.2.0_3.0_1700539962560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_chunk_en_5.2.0_3.0_1700539962560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_chunk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/RobW/distilbert-base-cased-finetuned-chunk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_conll2003_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_conll2003_en.md
new file mode 100644
index 000000000000..c788489364a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_conll2003_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_conll2003 DistilBertForTokenClassification from EulerianKnight
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_conll2003
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_conll2003` is a English model originally trained by EulerianKnight.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_conll2003_en_5.2.0_3.0_1700568053930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_conll2003_en_5.2.0_3.0_1700568053930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_conll2003|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/EulerianKnight/distilbert-base-cased-finetuned-CONLL2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_cv2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_cv2_en.md
new file mode 100644
index 000000000000..3f8991ad1d63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_cv2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_cv2 DistilBertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_cv2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_cv2` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_cv2_en_5.2.0_3.0_1700557574142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_cv2_en_5.2.0_3.0_1700557574142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_cv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/distilbert-base-cased-finetuned-cv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_0301_j_data_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_0301_j_data_en.md
new file mode 100644
index 000000000000..6386b3667fa4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_0301_j_data_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_0301_j_data DistilBertForTokenClassification from morganchen1007
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_0301_j_data
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_0301_j_data` is a English model originally trained by morganchen1007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_0301_j_data_en_5.2.0_3.0_1700582465529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_0301_j_data_en_5.2.0_3.0_1700582465529.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_0301_j_data|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/morganchen1007/distilbert-base-cased-finetuned-ner_0301_J_DATA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_ssiyer_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_ssiyer_en.md
new file mode 100644
index 000000000000..4c68e126fbef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_ssiyer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_ssiyer DistilBertForTokenClassification from ssiyer
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_ssiyer
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_ssiyer` is a English model originally trained by ssiyer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_ssiyer_en_5.2.0_3.0_1700537632053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_ssiyer_en_5.2.0_3.0_1700537632053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_ssiyer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/ssiyer/distilbert-base-cased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_swardiantara_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_swardiantara_en.md
new file mode 100644
index 000000000000..9ded59893b70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_swardiantara_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_swardiantara DistilBertForTokenClassification from swardiantara
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_swardiantara
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_swardiantara` is a English model originally trained by swardiantara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_swardiantara_en_5.2.0_3.0_1700589776101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_swardiantara_en_5.2.0_3.0_1700589776101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_swardiantara|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/swardiantara/distilbert-base-cased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_t2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_t2_en.md
new file mode 100644
index 000000000000..b80fce2246bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_t2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_t2 DistilBertForTokenClassification from RS7
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_t2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_t2` is a English model originally trained by RS7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_t2_en_5.2.0_3.0_1700527546992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_t2_en_5.2.0_3.0_1700527546992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_t2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/RS7/distilbert-base-cased-finetuned-ner-t2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_t3_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_t3_en.md
new file mode 100644
index 000000000000..648766f45677
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_finetuned_ner_t3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_t3 DistilBertForTokenClassification from RS7
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_t3
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_t3` is a English model originally trained by RS7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_t3_en_5.2.0_3.0_1700526531687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_t3_en_5.2.0_3.0_1700526531687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_t3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/RS7/distilbert-base-cased-finetuned-ner-t3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_maple_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_maple_en.md
new file mode 100644
index 000000000000..03deb3178e40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_maple_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_maple DistilBertForTokenClassification from maple
+author: John Snow Labs
+name: distilbert_base_cased_maple
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_maple` is a English model originally trained by maple.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_maple_en_5.2.0_3.0_1700590466632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_maple_en_5.2.0_3.0_1700590466632.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_maple|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/maple/distilbert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_ner_en.md
new file mode 100644
index 000000000000..e7d223074ed2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_cased_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_ner DistilBertForTokenClassification from alvarobartt
+author: John Snow Labs
+name: distilbert_base_cased_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_ner` is a English model originally trained by alvarobartt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_ner_en_5.2.0_3.0_1700532911571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_ner_en_5.2.0_3.0_1700532911571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/alvarobartt/distilbert-base-cased-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_german_cased_comma_derstandard_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_german_cased_comma_derstandard_en.md
new file mode 100644
index 000000000000..8f47c5ff28f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_german_cased_comma_derstandard_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_german_cased_comma_derstandard DistilBertForTokenClassification from aseifert
+author: John Snow Labs
+name: distilbert_base_german_cased_comma_derstandard
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_german_cased_comma_derstandard` is a English model originally trained by aseifert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_comma_derstandard_en_5.2.0_3.0_1700558240115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_comma_derstandard_en_5.2.0_3.0_1700558240115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_german_cased_comma_derstandard|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/aseifert/distilbert-base-german-cased-comma-derstandard
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_german_cased_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_german_cased_finetuned_ner_en.md
new file mode 100644
index 000000000000..6081ab223761
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_german_cased_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_german_cased_finetuned_ner DistilBertForTokenClassification from FabianWillner
+author: John Snow Labs
+name: distilbert_base_german_cased_finetuned_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_german_cased_finetuned_ner` is a English model originally trained by FabianWillner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_finetuned_ner_en_5.2.0_3.0_1700531928611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_finetuned_ner_en_5.2.0_3.0_1700531928611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_ner_naamapdam_fine_tuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/livinNector/distilbert-base-multilingual-NER-naamapdam-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_nguyenvanhieu1605_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_nguyenvanhieu1605_en.md
new file mode 100644
index 000000000000..2e54ca893d68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_nguyenvanhieu1605_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_nguyenvanhieu1605 DistilBertForTokenClassification from NguyenVanHieu1605
+author: John Snow Labs
+name: distilbert_base_nguyenvanhieu1605
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_nguyenvanhieu1605` is a English model originally trained by NguyenVanHieu1605.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_nguyenvanhieu1605_en_5.2.0_3.0_1700528345050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_nguyenvanhieu1605_en_5.2.0_3.0_1700528345050.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_nguyenvanhieu1605|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/NguyenVanHieu1605/distilbert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_spanish_uncased_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_spanish_uncased_finetuned_ner_en.md
new file mode 100644
index 000000000000..3c3f6647207f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_spanish_uncased_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_spanish_uncased_finetuned_ner DistilBertForTokenClassification from dccuchile
+author: John Snow Labs
+name: distilbert_base_spanish_uncased_finetuned_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_spanish_uncased_finetuned_ner` is a English model originally trained by dccuchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_ner_en_5.2.0_3.0_1700540909738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_ner_en_5.2.0_3.0_1700540909738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_spanish_uncased_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.2 MB|
+
+## References
+
+https://huggingface.co/dccuchile/distilbert-base-spanish-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_spanish_uncased_finetuned_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_spanish_uncased_finetuned_sayula_popoluca_en.md
new file mode 100644
index 000000000000..26638ba3d438
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_spanish_uncased_finetuned_sayula_popoluca_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_spanish_uncased_finetuned_sayula_popoluca DistilBertForTokenClassification from dccuchile
+author: John Snow Labs
+name: distilbert_base_spanish_uncased_finetuned_sayula_popoluca
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_spanish_uncased_finetuned_sayula_popoluca` is a English model originally trained by dccuchile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_sayula_popoluca_en_5.2.0_3.0_1700532030317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_sayula_popoluca_en_5.2.0_3.0_1700532030317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_spanish_uncased_finetuned_sayula_popoluca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/dccuchile/distilbert-base-spanish-uncased-finetuned-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_token_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_token_en.md
new file mode 100644
index 000000000000..10ee526cbf07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_token_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_token DistilBertForTokenClassification from PabloGuinea
+author: John Snow Labs
+name: distilbert_base_token
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_token` is a English model originally trained by PabloGuinea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_token_en_5.2.0_3.0_1700583329616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_token_en_5.2.0_3.0_1700583329616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_token|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/PabloGuinea/distilbert-base-token
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0_en.md
new file mode 100644
index 000000000000..0d7a563d3f15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0_en_5.2.0_3.0_1700555765404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0_en_5.2.0_3.0_1700555765404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-iir-v1.0-concept-extraction-kp20k-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_3_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_3_en.md
new file mode 100644
index 000000000000..e1d8b41dafe4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_3 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_3
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_3` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_3_en_5.2.0_3.0_1700552160239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_3_en_5.2.0_3.0_1700552160239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-iir-v1.0-concept-extraction-kp20k-v1.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4_en.md
new file mode 100644
index 000000000000..bfda6ebd3a38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4_en_5.2.0_3.0_1700582544233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4_en_5.2.0_3.0_1700582544233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_kp20k_v1_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-iir-v1.0-concept-extraction-kp20k-v1.4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_truncated_3edbbc_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_truncated_3edbbc_en.md
new file mode 100644
index 000000000000..fd539f03d62e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_truncated_3edbbc_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_truncated_3edbbc DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_truncated_3edbbc
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_truncated_3edbbc` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_truncated_3edbbc_en_5.2.0_3.0_1700566233727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_truncated_3edbbc_en_5.2.0_3.0_1700566233727.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_truncated_3edbbc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-iir-v1.0-concept-extraction-truncated-3edbbc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_wikipedia_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_wikipedia_v1_0_en.md
new file mode 100644
index 000000000000..4b88b3139767
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_wikipedia_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_wikipedia_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_wikipedia_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_wikipedia_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_wikipedia_v1_0_en_5.2.0_3.0_1700550219535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_wikipedia_v1_0_en_5.2.0_3.0_1700550219535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_concept_extraction_wikipedia_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-iir-v1.0-concept-extraction-wikipedia-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_en.md
new file mode 100644
index 000000000000..68b160de9e98
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_en_5.2.0_3.0_1700576069080.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0_en_5.2.0_3.0_1700576069080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-iir-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2_en.md
new file mode 100644
index 000000000000..7b8f376b0555
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2_en_5.2.0_3.0_1700566618439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2_en_5.2.0_3.0_1700566618439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-iir-v1.2-concept-extraction-kp20k-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5_en.md
new file mode 100644
index 000000000000..23ecaefbed37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5_en_5.2.0_3.0_1700579901457.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5_en_5.2.0_3.0_1700579901457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_concept_extraction_kp20k_v1_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-iir-v1.2-concept-extraction-kp20k-v1.5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_en.md
new file mode 100644
index 000000000000..2ba42a3410e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_en_5.2.0_3.0_1700580816103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2_en_5.2.0_3.0_1700580816103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-iir-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_3_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_3_en.md
new file mode 100644
index 000000000000..61c7094a4702
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_3 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_3
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_3` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_3_en_5.2.0_3.0_1700552160267.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_3_en_5.2.0_3.0_1700552160267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_indoiranian_languages_v1_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-iir-v1.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_435523_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_435523_en.md
new file mode 100644
index 000000000000..938ca555e455
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_435523_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_435523 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_435523
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_435523` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_435523_en_5.2.0_3.0_1700586706106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_435523_en_5.2.0_3.0_1700586706106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_435523|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-kp20k-v1.0-concept-extracti-truncated-435523
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_7d1e33_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_7d1e33_en.md
new file mode 100644
index 000000000000..6353dfb7530d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_7d1e33_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_7d1e33 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_7d1e33
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_7d1e33` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_7d1e33_en_5.2.0_3.0_1700573537330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_7d1e33_en_5.2.0_3.0_1700573537330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extracti_truncated_7d1e33|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-kp20k-v1.0-concept-extracti-truncated-7d1e33
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_indoiranian_languages_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_indoiranian_languages_v1_0_en.md
new file mode 100644
index 000000000000..0e6fcb185057
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_indoiranian_languages_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_indoiranian_languages_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_indoiranian_languages_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_indoiranian_languages_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_indoiranian_languages_v1_0_en_5.2.0_3.0_1700577971328.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_indoiranian_languages_v1_0_en_5.2.0_3.0_1700577971328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_indoiranian_languages_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-kp20k-v1.0-concept-extraction-iir-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0_en.md
new file mode 100644
index 000000000000..5407c8710a56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0_en_5.2.0_3.0_1700578795206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0_en_5.2.0_3.0_1700578795206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-kp20k-v1.0-concept-extraction-wikipedia-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_1_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_1_en.md
new file mode 100644
index 000000000000..db64bd27a095
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_1 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_1
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_1` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_1_en_5.2.0_3.0_1700554884934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_1_en_5.2.0_3.0_1700554884934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-kp20k-v1.0-concept-extraction-wikipedia-v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3_en.md
new file mode 100644
index 000000000000..3503dcae0ddb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3_en_5.2.0_3.0_1700538653430.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3_en_5.2.0_3.0_1700538653430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_kp20k_v1_0_concept_extraction_wikipedia_v1_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-kp20k-v1.0-concept-extraction-wikipedia-v1.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_en.md
new file mode 100644
index 000000000000..05006aee72fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_kp20k_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_kp20k_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_kp20k_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_en_5.2.0_3.0_1700577085144.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_0_en_5.2.0_3.0_1700577085144.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_kp20k_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-kp20k-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0_en.md
new file mode 100644
index 000000000000..88f1af367dd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0_en_5.2.0_3.0_1700549306061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0_en_5.2.0_3.0_1700549306061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_allwikipedia_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-kp20k-v1.2-concept-extraction-allwikipedia-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2_en.md
new file mode 100644
index 000000000000..d26b4961def3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2_en_5.2.0_3.0_1700541783214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2_en_5.2.0_3.0_1700541783214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_kp20k_v1_2_concept_extraction_wikipedia_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-kp20k-v1.2-concept-extraction-wikipedia-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_2_en.md
new file mode 100644
index 000000000000..bd50b1e61b37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_kp20k_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_kp20k_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_kp20k_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_kp20k_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_2_en_5.2.0_3.0_1700548581737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_kp20k_v1_2_en_5.2.0_3.0_1700548581737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_kp20k_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-kp20k-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_0_en.md
new file mode 100644
index 000000000000..fab198fcb591
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_0_en_5.2.0_3.0_1700555689618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_0_en_5.2.0_3.0_1700555689618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-wikipedia-v1.0-concept-extraction-iir-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3_en.md
new file mode 100644
index 000000000000..908c7f6062c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3_en_5.2.0_3.0_1700561966330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3_en_5.2.0_3.0_1700561966330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_indoiranian_languages_v1_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-wikipedia-v1.0-concept-extraction-iir-v1.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_kp20k_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_kp20k_v1_0_en.md
new file mode 100644
index 000000000000..837d1fab77e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_kp20k_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_kp20k_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_kp20k_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_kp20k_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_kp20k_v1_0_en_5.2.0_3.0_1700559302900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_kp20k_v1_0_en_5.2.0_3.0_1700559302900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_wikipedia_v1_0_concept_extraction_kp20k_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-wikipedia-v1.0-concept-extraction-kp20k-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_en.md
new file mode 100644
index 000000000000..29cbfe72836d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_wikipedia_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_wikipedia_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_wikipedia_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_0_en_5.2.0_3.0_1700570036191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_0_en_5.2.0_3.0_1700570036191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_wikipedia_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-wikipedia-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_1_concept_extraction_indoiranian_languages_v1_0_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_1_concept_extraction_indoiranian_languages_v1_0_en.md
new file mode 100644
index 000000000000..e4a3d5aee526
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_1_concept_extraction_indoiranian_languages_v1_0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_wikipedia_v1_1_concept_extraction_indoiranian_languages_v1_0 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_wikipedia_v1_1_concept_extraction_indoiranian_languages_v1_0
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_wikipedia_v1_1_concept_extraction_indoiranian_languages_v1_0` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_1_concept_extraction_indoiranian_languages_v1_0_en_5.2.0_3.0_1700557157755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_1_concept_extraction_indoiranian_languages_v1_0_en_5.2.0_3.0_1700557157755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_wikipedia_v1_1_concept_extraction_indoiranian_languages_v1_0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-wikipedia-v1.1-concept-extraction-iir-v1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_1_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_1_en.md
new file mode 100644
index 000000000000..9c83b41893fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_wikipedia_v1_1 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_wikipedia_v1_1
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_wikipedia_v1_1` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_1_en_5.2.0_3.0_1700553894121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_1_en_5.2.0_3.0_1700553894121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_wikipedia_v1_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-wikipedia-v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2_en.md
new file mode 100644
index 000000000000..cbf12fba9f5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2_en_5.2.0_3.0_1700538826852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2_en_5.2.0_3.0_1700538826852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_wikipedia_v1_2_concept_extraction_indoiranian_languages_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-wikipedia-v1.2-concept-extraction-iir-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_2_en.md
new file mode 100644
index 000000000000..a37fac28e0f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_concept_extraction_wikipedia_v1_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_concept_extraction_wikipedia_v1_2 DistilBertForTokenClassification from HungChau
+author: John Snow Labs
+name: distilbert_base_uncased_concept_extraction_wikipedia_v1_2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_concept_extraction_wikipedia_v1_2` is a English model originally trained by HungChau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_2_en_5.2.0_3.0_1700540017047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_concept_extraction_wikipedia_v1_2_en_5.2.0_3.0_1700540017047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_concept_extraction_wikipedia_v1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/HungChau/distilbert-base-uncased-concept-extraction-wikipedia-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_date_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_date_en.md
new file mode 100644
index 000000000000..ecc675d4f471
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_date_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_date DistilBertForTokenClassification from alicenkbaytop
+author: John Snow Labs
+name: distilbert_base_uncased_date
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_date` is a English model originally trained by alicenkbaytop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_date_en_5.2.0_3.0_1700536591291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_date_en_5.2.0_3.0_1700536591291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_date|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/alicenkbaytop/distilbert-base-uncased-date
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_fine_tuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_fine_tuned_ner_en.md
new file mode 100644
index 000000000000..8149de19e245
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_fine_tuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_fine_tuned_ner DistilBertForTokenClassification from geckos
+author: John Snow Labs
+name: distilbert_base_uncased_fine_tuned_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fine_tuned_ner` is a English model originally trained by geckos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tuned_ner_en_5.2.0_3.0_1700536591316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fine_tuned_ner_en_5.2.0_3.0_1700536591316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fine_tuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/geckos/distilbert-base-uncased-fine-tuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetune_dhlanm_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetune_dhlanm_en.md
new file mode 100644
index 000000000000..5740f580489f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetune_dhlanm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetune_dhlanm DistilBertForTokenClassification from dhlanm
+author: John Snow Labs
+name: distilbert_base_uncased_finetune_dhlanm
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetune_dhlanm` is a English model originally trained by dhlanm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetune_dhlanm_en_5.2.0_3.0_1700579983081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetune_dhlanm_en_5.2.0_3.0_1700579983081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetune_dhlanm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/dhlanm/distilbert-base-uncased-finetune
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_cloud1_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_cloud1_ner_en.md
new file mode 100644
index 000000000000..2cc7ba79ccaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_cloud1_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cloud1_ner DistilBertForTokenClassification from akshaychaudhary
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cloud1_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cloud1_ner` is a English model originally trained by akshaychaudhary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cloud1_ner_en_5.2.0_3.0_1700541783294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cloud1_ner_en_5.2.0_3.0_1700541783294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cloud1_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/akshaychaudhary/distilbert-base-uncased-finetuned-cloud1-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_cloud2_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_cloud2_ner_en.md
new file mode 100644
index 000000000000..3599d5a5922c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_cloud2_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cloud2_ner DistilBertForTokenClassification from akshaychaudhary
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cloud2_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cloud2_ner` is a English model originally trained by akshaychaudhary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cloud2_ner_en_5.2.0_3.0_1700535482536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cloud2_ner_en_5.2.0_3.0_1700535482536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cloud2_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/akshaychaudhary/distilbert-base-uncased-finetuned-cloud2-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_cloud_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_cloud_ner_en.md
new file mode 100644
index 000000000000..b11dd0cade2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_cloud_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_cloud_ner DistilBertForTokenClassification from akshaychaudhary
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_cloud_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_cloud_ner` is a English model originally trained by akshaychaudhary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cloud_ner_en_5.2.0_3.0_1700545818827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_cloud_ner_en_5.2.0_3.0_1700545818827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_cloud_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/akshaychaudhary/distilbert-base-uncased-finetuned-cloud-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_hypertuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_hypertuned_ner_en.md
new file mode 100644
index 000000000000..e2e7ac0ef1b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_hypertuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_hypertuned_ner DistilBertForTokenClassification from akshaychaudhary
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_hypertuned_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_hypertuned_ner` is a English model originally trained by akshaychaudhary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_hypertuned_ner_en_5.2.0_3.0_1700536709631.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_hypertuned_ner_en_5.2.0_3.0_1700536709631.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_hypertuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/akshaychaudhary/distilbert-base-uncased-finetuned-hypertuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ingredients_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ingredients_en.md
new file mode 100644
index 000000000000..903c17c24339
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ingredients_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ingredients DistilBertForTokenClassification from harr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ingredients
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ingredients` is a English model originally trained by harr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ingredients_en_5.2.0_3.0_1700525270768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ingredients_en_5.2.0_3.0_1700525270768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ingredients|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/harr/distilbert-base-uncased-finetuned-ingredients
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_0212_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_0212_en.md
new file mode 100644
index 000000000000..56029f4a273b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_0212_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_0212 DistilBertForTokenClassification from morganchen1007
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_0212
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_0212` is a English model originally trained by morganchen1007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_0212_en_5.2.0_3.0_1700582668097.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_0212_en_5.2.0_3.0_1700582668097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_0212|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/morganchen1007/distilbert-base-uncased-finetuned-ner_0212
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_adityavithaldas_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_adityavithaldas_en.md
new file mode 100644
index 000000000000..4db8721e9af8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_adityavithaldas_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_adityavithaldas DistilBertForTokenClassification from adityavithaldas
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_adityavithaldas
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_adityavithaldas` is a English model originally trained by adityavithaldas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_adityavithaldas_en_5.2.0_3.0_1700570851612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_adityavithaldas_en_5.2.0_3.0_1700570851612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_adityavithaldas|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/adityavithaldas/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_aidj_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_aidj_en.md
new file mode 100644
index 000000000000..9ecffed86ad5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_aidj_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_aidj DistilBertForTokenClassification from aidj
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_aidj
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_aidj` is a English model originally trained by aidj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_aidj_en_5.2.0_3.0_1700545428613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_aidj_en_5.2.0_3.0_1700545428613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_aidj|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/aidj/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_airparadox_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_airparadox_en.md
new file mode 100644
index 000000000000..6f47573b97fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_airparadox_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_airparadox DistilBertForTokenClassification from airparadox
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_airparadox
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_airparadox` is a English model originally trained by airparadox.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_airparadox_en_5.2.0_3.0_1700574003012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_airparadox_en_5.2.0_3.0_1700574003012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_airparadox|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/airparadox/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_akshaychaudhary_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_akshaychaudhary_en.md
new file mode 100644
index 000000000000..e61a5bd468ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_akshaychaudhary_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_akshaychaudhary DistilBertForTokenClassification from akshaychaudhary
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_akshaychaudhary
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_akshaychaudhary` is a English model originally trained by akshaychaudhary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_akshaychaudhary_en_5.2.0_3.0_1700545428947.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_akshaychaudhary_en_5.2.0_3.0_1700545428947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_akshaychaudhary|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/akshaychaudhary/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_al00014_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_al00014_en.md
new file mode 100644
index 000000000000..03f037eca6ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_al00014_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_al00014 DistilBertForTokenClassification from al00014
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_al00014
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_al00014` is a English model originally trained by al00014.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_al00014_en_5.2.0_3.0_1700547530241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_al00014_en_5.2.0_3.0_1700547530241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_al00014|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/al00014/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_algiraldohe_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_algiraldohe_en.md
new file mode 100644
index 000000000000..bca72684cab6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_algiraldohe_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_algiraldohe DistilBertForTokenClassification from algiraldohe
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_algiraldohe
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_algiraldohe` is a English model originally trained by algiraldohe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_algiraldohe_en_5.2.0_3.0_1700553894087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_algiraldohe_en_5.2.0_3.0_1700553894087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_algiraldohe|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/algiraldohe/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_andreasostling_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_andreasostling_en.md
new file mode 100644
index 000000000000..4382b3339389
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_andreasostling_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_andreasostling DistilBertForTokenClassification from andreasostling
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_andreasostling
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_andreasostling` is a English model originally trained by andreasostling.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_andreasostling_en_5.2.0_3.0_1700584516914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_andreasostling_en_5.2.0_3.0_1700584516914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_andreasostling|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/andreasostling/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ann2020_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ann2020_en.md
new file mode 100644
index 000000000000..d0fba0bd05a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ann2020_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ann2020 DistilBertForTokenClassification from Ann2020
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ann2020
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_ann2020` is a English model originally trained by Ann2020.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ann2020_en_5.2.0_3.0_1700531928789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ann2020_en_5.2.0_3.0_1700531928789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_ann2020|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Ann2020/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ayush414_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ayush414_en.md
new file mode 100644
index 000000000000..1b972c860044
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ayush414_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ayush414 DistilBertForTokenClassification from Ayush414
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ayush414
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_ayush414` is a English model originally trained by Ayush414.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ayush414_en_5.2.0_3.0_1700573885122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ayush414_en_5.2.0_3.0_1700573885122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_ayush414|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Ayush414/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_backpack30_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_backpack30_en.md
new file mode 100644
index 000000000000..1149aedd1946
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_backpack30_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_backpack30 DistilBertForTokenClassification from backpack30
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_backpack30
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_backpack30` is a English model originally trained by backpack30.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_backpack30_en_5.2.0_3.0_1700571774333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_backpack30_en_5.2.0_3.0_1700571774333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_backpack30|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/backpack30/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_bwfyyy_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_bwfyyy_en.md
new file mode 100644
index 000000000000..2d314bf409dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_bwfyyy_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_bwfyyy DistilBertForTokenClassification from bwfyyy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_bwfyyy
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_bwfyyy` is a English model originally trained by bwfyyy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_bwfyyy_en_5.2.0_3.0_1700590392948.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_bwfyyy_en_5.2.0_3.0_1700590392948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_bwfyyy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bwfyyy/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_cfisicaro_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_cfisicaro_en.md
new file mode 100644
index 000000000000..bf434ad8c64b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_cfisicaro_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_cfisicaro DistilBertForTokenClassification from cfisicaro
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_cfisicaro
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_cfisicaro` is a English model originally trained by cfisicaro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_cfisicaro_en_5.2.0_3.0_1700546511214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_cfisicaro_en_5.2.0_3.0_1700546511214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_cfisicaro|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/cfisicaro/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_chanaa_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_chanaa_en.md
new file mode 100644
index 000000000000..4e6d9fb72728
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_chanaa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_chanaa DistilBertForTokenClassification from chanaa
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_chanaa
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_chanaa` is a English model originally trained by chanaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_chanaa_en_5.2.0_3.0_1700555765421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_chanaa_en_5.2.0_3.0_1700555765421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_chanaa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/chanaa/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_charlecheng_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_charlecheng_en.md
new file mode 100644
index 000000000000..a6f8fcf0cf4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_charlecheng_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_charlecheng DistilBertForTokenClassification from charlecheng
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_charlecheng
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_charlecheng` is a English model originally trained by charlecheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_charlecheng_en_5.2.0_3.0_1700547532015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_charlecheng_en_5.2.0_3.0_1700547532015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_charlecheng|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/charlecheng/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ckandemir_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ckandemir_en.md
new file mode 100644
index 000000000000..e5567931e156
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ckandemir_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ckandemir DistilBertForTokenClassification from ckandemir
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ckandemir
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_ckandemir` is a English model originally trained by ckandemir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ckandemir_en_5.2.0_3.0_1700540870260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ckandemir_en_5.2.0_3.0_1700540870260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_ckandemir|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ckandemir/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_codingjacob_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_codingjacob_en.md
new file mode 100644
index 000000000000..4308a734e420
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_codingjacob_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_codingjacob DistilBertForTokenClassification from codingJacob
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_codingjacob
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_codingjacob` is a English model originally trained by codingJacob.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_codingjacob_en_5.2.0_3.0_1700530468237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_codingjacob_en_5.2.0_3.0_1700530468237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_codingjacob|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/codingJacob/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_cogito233_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_cogito233_en.md
new file mode 100644
index 000000000000..41d580dee8cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_cogito233_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_cogito233 DistilBertForTokenClassification from cogito233
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_cogito233
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_cogito233` is a English model originally trained by cogito233.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_cogito233_en_5.2.0_3.0_1700549562083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_cogito233_en_5.2.0_3.0_1700549562083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_cogito233|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/cogito233/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_dbsamu_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_dbsamu_en.md
new file mode 100644
index 000000000000..b6701d0b27cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_dbsamu_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_dbsamu DistilBertForTokenClassification from dbsamu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_dbsamu
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_dbsamu` is a English model originally trained by dbsamu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_dbsamu_en_5.2.0_3.0_1700552160504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_dbsamu_en_5.2.0_3.0_1700552160504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_dbsamu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/dbsamu/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_delpart_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_delpart_en.md
new file mode 100644
index 000000000000..e82b59a9acd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_delpart_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_delpart DistilBertForTokenClassification from delpart
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_delpart
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_delpart` is a English model originally trained by delpart.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_delpart_en_5.2.0_3.0_1700543507860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_delpart_en_5.2.0_3.0_1700543507860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_delpart|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/delpart/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_deval_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_deval_en.md
new file mode 100644
index 000000000000..2e8f4e64a146
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_deval_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_deval DistilBertForTokenClassification from deval
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_deval
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_deval` is a English model originally trained by deval.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_deval_en_5.2.0_3.0_1700544586876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_deval_en_5.2.0_3.0_1700544586876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_deval|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/deval/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_duc_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_duc_en.md
new file mode 100644
index 000000000000..16f30a4f4ae9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_duc_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_duc DistilBertForTokenClassification from Duc
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_duc
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_duc` is a English model originally trained by Duc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_duc_en_5.2.0_3.0_1700536591243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_duc_en_5.2.0_3.0_1700536591243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_duc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Duc/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_evgeneus_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_evgeneus_en.md
new file mode 100644
index 000000000000..4e9be72b0d63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_evgeneus_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_evgeneus DistilBertForTokenClassification from Evgeneus
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_evgeneus
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_evgeneus` is a English model originally trained by Evgeneus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_evgeneus_en_5.2.0_3.0_1700546614670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_evgeneus_en_5.2.0_3.0_1700546614670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_evgeneus|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Evgeneus/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_fahaddilib_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_fahaddilib_en.md
new file mode 100644
index 000000000000..6c5f04fc0fea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_fahaddilib_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_fahaddilib DistilBertForTokenClassification from fahaddilib
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_fahaddilib
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_fahaddilib` is a English model originally trained by fahaddilib.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_fahaddilib_en_5.2.0_3.0_1700589054102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_fahaddilib_en_5.2.0_3.0_1700589054102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_fahaddilib|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/fahaddilib/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_fiddi_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_fiddi_en.md
new file mode 100644
index 000000000000..f306b31087c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_fiddi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_fiddi DistilBertForTokenClassification from Fiddi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_fiddi
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_fiddi` is a English model originally trained by Fiddi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_fiddi_en_5.2.0_3.0_1700543972490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_fiddi_en_5.2.0_3.0_1700543972490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_fiddi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Fiddi/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_finetuned_ner_en.md
new file mode 100644
index 000000000000..d00f7c0bd988
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_finetuned_ner DistilBertForTokenClassification from Maxaontrix
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_finetuned_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_finetuned_ner` is a English model originally trained by Maxaontrix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_finetuned_ner_en_5.2.0_3.0_1700590392945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_finetuned_ner_en_5.2.0_3.0_1700590392945.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Maxaontrix/distilbert-base-uncased-finetuned-ner-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_fredmath_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_fredmath_en.md
new file mode 100644
index 000000000000..f11a3777c3c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_fredmath_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_fredmath DistilBertForTokenClassification from FredMath
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_fredmath
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_fredmath` is a English model originally trained by FredMath.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_fredmath_en_5.2.0_3.0_1700575094459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_fredmath_en_5.2.0_3.0_1700575094459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_fredmath|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/FredMath/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_gagan3012_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_gagan3012_en.md
new file mode 100644
index 000000000000..9665a8e3eb6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_gagan3012_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_gagan3012 DistilBertForTokenClassification from gagan3012
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_gagan3012
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_gagan3012` is a English model originally trained by gagan3012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_gagan3012_en_5.2.0_3.0_1700544483674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_gagan3012_en_5.2.0_3.0_1700544483674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_gagan3012|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/gagan3012/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hank_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hank_en.md
new file mode 100644
index 000000000000..df2a612344e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hank_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_hank DistilBertForTokenClassification from Hank
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_hank
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_hank` is a English model originally trained by Hank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_hank_en_5.2.0_3.0_1700545004755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_hank_en_5.2.0_3.0_1700545004755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_hank|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Hank/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hannahbillo_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hannahbillo_en.md
new file mode 100644
index 000000000000..f45b1f0506e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hannahbillo_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_hannahbillo DistilBertForTokenClassification from hannahbillo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_hannahbillo
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_hannahbillo` is a English model originally trained by hannahbillo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_hannahbillo_en_5.2.0_3.0_1700591252402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_hannahbillo_en_5.2.0_3.0_1700591252402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_hannahbillo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/hannahbillo/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_histinct7002_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_histinct7002_en.md
new file mode 100644
index 000000000000..0a23785a0581
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_histinct7002_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_histinct7002 DistilBertForTokenClassification from histinct7002
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_histinct7002
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_histinct7002` is a English model originally trained by histinct7002.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_histinct7002_en_5.2.0_3.0_1700548420829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_histinct7002_en_5.2.0_3.0_1700548420829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_histinct7002|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/histinct7002/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hkoll2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hkoll2_en.md
new file mode 100644
index 000000000000..72d1da0fccfc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hkoll2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_hkoll2 DistilBertForTokenClassification from hkoll2
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_hkoll2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_hkoll2` is a English model originally trained by hkoll2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_hkoll2_en_5.2.0_3.0_1700583446283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_hkoll2_en_5.2.0_3.0_1700583446283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_hkoll2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/hkoll2/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hyerim_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hyerim_en.md
new file mode 100644
index 000000000000..0691a2d7d645
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_hyerim_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_hyerim DistilBertForTokenClassification from hyerim
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_hyerim
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_hyerim` is a English model originally trained by hyerim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_hyerim_en_5.2.0_3.0_1700565363816.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_hyerim_en_5.2.0_3.0_1700565363816.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_hyerim|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/hyerim/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_indridinn_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_indridinn_en.md
new file mode 100644
index 000000000000..df3bb2a723a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_indridinn_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_indridinn DistilBertForTokenClassification from indridinn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_indridinn
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_indridinn` is a English model originally trained by indridinn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_indridinn_en_5.2.0_3.0_1700556265218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_indridinn_en_5.2.0_3.0_1700556265218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_indridinn|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/indridinn/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_invoicesendername_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_invoicesendername_en.md
new file mode 100644
index 000000000000..916d99636939
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_invoicesendername_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_invoicesendername DistilBertForTokenClassification from Lilya
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_invoicesendername
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_invoicesendername` is a English model originally trained by Lilya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_invoicesendername_en_5.2.0_3.0_1700569802390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_invoicesendername_en_5.2.0_3.0_1700569802390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_invoicesendername|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Lilya/distilbert-base-uncased-finetuned-ner-invoiceSenderName
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_kamsut_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_kamsut_en.md
new file mode 100644
index 000000000000..028b49f30ae6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_kamsut_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_kamsut DistilBertForTokenClassification from KamSut
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_kamsut
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_kamsut` is a English model originally trained by KamSut.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_kamsut_en_5.2.0_3.0_1700543407620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_kamsut_en_5.2.0_3.0_1700543407620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_kamsut|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/KamSut/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_kizunasunhy_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_kizunasunhy_en.md
new file mode 100644
index 000000000000..d21d7c308a04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_kizunasunhy_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_kizunasunhy DistilBertForTokenClassification from kizunasunhy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_kizunasunhy
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_kizunasunhy` is a English model originally trained by kizunasunhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_kizunasunhy_en_5.2.0_3.0_1700587775444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_kizunasunhy_en_5.2.0_3.0_1700587775444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_kizunasunhy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/kizunasunhy/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_lbw_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_lbw_en.md
new file mode 100644
index 000000000000..3c1b6a64770b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_lbw_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_lbw DistilBertForTokenClassification from lbw
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_lbw
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_lbw` is a English model originally trained by lbw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_lbw_en_5.2.0_3.0_1700574847694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_lbw_en_5.2.0_3.0_1700574847694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_lbw|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/lbw/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_leonadase_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_leonadase_en.md
new file mode 100644
index 000000000000..c047c2d2c905
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_leonadase_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_leonadase DistilBertForTokenClassification from leonadase
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_leonadase
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_leonadase` is a English model originally trained by leonadase.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_leonadase_en_5.2.0_3.0_1700569316651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_leonadase_en_5.2.0_3.0_1700569316651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_leonadase|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/leonadase/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_linasaba_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_linasaba_en.md
new file mode 100644
index 000000000000..fa9c7600c31b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_linasaba_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_linasaba DistilBertForTokenClassification from LinaSaba
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_linasaba
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_linasaba` is a English model originally trained by LinaSaba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_linasaba_en_5.2.0_3.0_1700577871323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_linasaba_en_5.2.0_3.0_1700577871323.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_linasaba|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/LinaSaba/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_lucasmtz_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_lucasmtz_en.md
new file mode 100644
index 000000000000..88aedb52a757
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_lucasmtz_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_lucasmtz DistilBertForTokenClassification from lucasmtz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_lucasmtz
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_lucasmtz` is a English model originally trained by lucasmtz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_lucasmtz_en_5.2.0_3.0_1700568889129.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_lucasmtz_en_5.2.0_3.0_1700568889129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_lucasmtz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/lucasmtz/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mackseem_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mackseem_en.md
new file mode 100644
index 000000000000..73cd1f6230ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mackseem_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mackseem DistilBertForTokenClassification from mackseem
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mackseem
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mackseem` is a English model originally trained by mackseem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mackseem_en_5.2.0_3.0_1700554884507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mackseem_en_5.2.0_3.0_1700554884507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mackseem|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mackseem/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mcdzwil_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mcdzwil_en.md
new file mode 100644
index 000000000000..f5d42beb899f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mcdzwil_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mcdzwil DistilBertForTokenClassification from mcdzwil
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mcdzwil
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mcdzwil` is a English model originally trained by mcdzwil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mcdzwil_en_5.2.0_3.0_1700564510715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mcdzwil_en_5.2.0_3.0_1700564510715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mcdzwil|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mcdzwil/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mdroth_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mdroth_en.md
new file mode 100644
index 000000000000..b7bfdb4bbf4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mdroth_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mdroth DistilBertForTokenClassification from mdroth
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mdroth
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mdroth` is a English model originally trained by mdroth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mdroth_en_5.2.0_3.0_1700585581414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mdroth_en_5.2.0_3.0_1700585581414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mdroth|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mdroth/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mikhailgalperin_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mikhailgalperin_en.md
new file mode 100644
index 000000000000..301474aa22db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mikhailgalperin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mikhailgalperin DistilBertForTokenClassification from MikhailGalperin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mikhailgalperin
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mikhailgalperin` is a English model originally trained by MikhailGalperin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mikhailgalperin_en_5.2.0_3.0_1700591577756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mikhailgalperin_en_5.2.0_3.0_1700591577756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mikhailgalperin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/MikhailGalperin/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_minowa_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_minowa_en.md
new file mode 100644
index 000000000000..7325586bfcd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_minowa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_minowa DistilBertForTokenClassification from Minowa
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_minowa
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_minowa` is a English model originally trained by Minowa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_minowa_en_5.2.0_3.0_1700552218019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_minowa_en_5.2.0_3.0_1700552218019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_minowa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Minowa/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mohammedhb_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mohammedhb_en.md
new file mode 100644
index 000000000000..69d16527cb71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mohammedhb_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mohammedhb DistilBertForTokenClassification from MohammedHB
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mohammedhb
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mohammedhb` is a English model originally trained by MohammedHB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mohammedhb_en_5.2.0_3.0_1700589054075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mohammedhb_en_5.2.0_3.0_1700589054075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mohammedhb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/MohammedHB/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_momo_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_momo_en.md
new file mode 100644
index 000000000000..0c4870dc651f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_momo_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_momo DistilBertForTokenClassification from momo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_momo
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_momo` is a English model originally trained by momo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_momo_en_5.2.0_3.0_1700564548578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_momo_en_5.2.0_3.0_1700564548578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_momo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/momo/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mood_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mood_en.md
new file mode 100644
index 000000000000..ab6311488e88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_mood_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mood DistilBertForTokenClassification from Mood
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mood
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mood` is a English model originally trained by Mood.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mood_en_5.2.0_3.0_1700539869048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mood_en_5.2.0_3.0_1700539869048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mood|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Mood/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ncduy_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ncduy_en.md
new file mode 100644
index 000000000000..83494bb26874
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ncduy_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ncduy DistilBertForTokenClassification from ncduy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ncduy
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_ncduy` is a English model originally trained by ncduy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ncduy_en_5.2.0_3.0_1700556619627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ncduy_en_5.2.0_3.0_1700556619627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_ncduy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ncduy/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_nishmithaur_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_nishmithaur_en.md
new file mode 100644
index 000000000000..ba5d7bdd69e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_nishmithaur_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_nishmithaur DistilBertForTokenClassification from nishmithaur
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_nishmithaur
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_nishmithaur` is a English model originally trained by nishmithaur.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nishmithaur_en_5.2.0_3.0_1700537631990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nishmithaur_en_5.2.0_3.0_1700537631990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_nishmithaur|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/nishmithaur/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_only_actions_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_only_actions_en.md
new file mode 100644
index 000000000000..59fbd4fbd3b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_only_actions_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_only_actions DistilBertForTokenClassification from nestoralvaro
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_only_actions
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_only_actions` is a English model originally trained by nestoralvaro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_only_actions_en_5.2.0_3.0_1700532919291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_only_actions_en_5.2.0_3.0_1700532919291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_only_actions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/nestoralvaro/distilbert-base-uncased-finetuned-ner_only_actions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_pabloguinea_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_pabloguinea_en.md
new file mode 100644
index 000000000000..cca9e0b5a4c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_pabloguinea_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_pabloguinea DistilBertForTokenClassification from PabloGuinea
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_pabloguinea
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_pabloguinea` is a English model originally trained by PabloGuinea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_pabloguinea_en_5.2.0_3.0_1700580816211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_pabloguinea_en_5.2.0_3.0_1700580816211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_pabloguinea|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/PabloGuinea/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_prao_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_prao_en.md
new file mode 100644
index 000000000000..364606573828
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_prao_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_prao DistilBertForTokenClassification from prao
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_prao
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_prao` is a English model originally trained by prao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_prao_en_5.2.0_3.0_1700560967314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_prao_en_5.2.0_3.0_1700560967314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_prao|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/prao/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_pytest_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_pytest_en.md
new file mode 100644
index 000000000000..f3d058370dc0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_pytest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_pytest DistilBertForTokenClassification from pytest
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_pytest
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_pytest` is a English model originally trained by pytest.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_pytest_en_5.2.0_3.0_1700572576176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_pytest_en_5.2.0_3.0_1700572576176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_pytest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/pytest/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_saiteja_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_saiteja_en.md
new file mode 100644
index 000000000000..7bd79a43bc48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_saiteja_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_saiteja DistilBertForTokenClassification from Saiteja
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_saiteja
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_saiteja` is a English model originally trained by Saiteja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_saiteja_en_5.2.0_3.0_1700574532118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_saiteja_en_5.2.0_3.0_1700574532118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_saiteja|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Saiteja/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_saurabhkaushik_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_saurabhkaushik_en.md
new file mode 100644
index 000000000000..fab5e89dbd60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_saurabhkaushik_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_saurabhkaushik DistilBertForTokenClassification from SaurabhKaushik
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_saurabhkaushik
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_saurabhkaushik` is a English model originally trained by SaurabhKaushik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_saurabhkaushik_en_5.2.0_3.0_1700578796272.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_saurabhkaushik_en_5.2.0_3.0_1700578796272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_saurabhkaushik|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/SaurabhKaushik/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_seishin_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_seishin_en.md
new file mode 100644
index 000000000000..50a715d26a5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_seishin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_seishin DistilBertForTokenClassification from SEISHIN
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_seishin
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_seishin` is a English model originally trained by SEISHIN.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_seishin_en_5.2.0_3.0_1700533895069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_seishin_en_5.2.0_3.0_1700533895069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_seishin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/SEISHIN/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_shenyancheng_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_shenyancheng_en.md
new file mode 100644
index 000000000000..f852b0769ed0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_shenyancheng_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_shenyancheng DistilBertForTokenClassification from Shenyancheng
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_shenyancheng
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_shenyancheng` is a English model originally trained by Shenyancheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_shenyancheng_en_5.2.0_3.0_1700551327460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_shenyancheng_en_5.2.0_3.0_1700551327460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_shenyancheng|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Shenyancheng/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_songrb_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_songrb_en.md
new file mode 100644
index 000000000000..7e36c02488af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_songrb_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_songrb DistilBertForTokenClassification from SongRb
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_songrb
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_songrb` is a English model originally trained by SongRb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_songrb_en_5.2.0_3.0_1700537632024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_songrb_en_5.2.0_3.0_1700537632024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_songrb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/SongRb/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_sschangi_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_sschangi_en.md
new file mode 100644
index 000000000000..fbf3a227978a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_sschangi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_sschangi DistilBertForTokenClassification from sschangi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_sschangi
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_sschangi` is a English model originally trained by sschangi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sschangi_en_5.2.0_3.0_1700575372766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sschangi_en_5.2.0_3.0_1700575372766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_sschangi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sschangi/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ssiyer_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ssiyer_en.md
new file mode 100644
index 000000000000..59583e156a64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_ssiyer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ssiyer DistilBertForTokenClassification from ssiyer
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ssiyer
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_ssiyer` is a English model originally trained by ssiyer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ssiyer_en_5.2.0_3.0_1700530377084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ssiyer_en_5.2.0_3.0_1700530377084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_ssiyer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ssiyer/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_sunwei2011_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_sunwei2011_en.md
new file mode 100644
index 000000000000..6ae28c1398b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_sunwei2011_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_sunwei2011 DistilBertForTokenClassification from sunwei2011
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_sunwei2011
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_sunwei2011` is a English model originally trained by sunwei2011.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sunwei2011_en_5.2.0_3.0_1700580739543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sunwei2011_en_5.2.0_3.0_1700580739543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_sunwei2011|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sunwei2011/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_swang2000_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_swang2000_en.md
new file mode 100644
index 000000000000..9291334b1301
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_swang2000_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_swang2000 DistilBertForTokenClassification from swang2000
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_swang2000
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_swang2000` is a English model originally trained by swang2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_swang2000_en_5.2.0_3.0_1700581688358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_swang2000_en_5.2.0_3.0_1700581688358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_swang2000|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/swang2000/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_tnavin_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_tnavin_en.md
new file mode 100644
index 000000000000..1be0a742c7f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_tnavin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_tnavin DistilBertForTokenClassification from tnavin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_tnavin
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_tnavin` is a English model originally trained by tnavin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_tnavin_en_5.2.0_3.0_1700575942730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_tnavin_en_5.2.0_3.0_1700575942730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_tnavin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/tnavin/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_trans_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_trans_en.md
new file mode 100644
index 000000000000..62090c50e938
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_trans_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_trans DistilBertForTokenClassification from Lilya
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_trans
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_trans` is a English model originally trained by Lilya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_trans_en_5.2.0_3.0_1700539993619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_trans_en_5.2.0_3.0_1700539993619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_trans|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Lilya/distilbert-base-uncased-finetuned-ner-TRANS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_udi_aharon_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_udi_aharon_en.md
new file mode 100644
index 000000000000..08d402570032
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_udi_aharon_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_udi_aharon DistilBertForTokenClassification from Udi-Aharon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_udi_aharon
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_udi_aharon` is a English model originally trained by Udi-Aharon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_udi_aharon_en_5.2.0_3.0_1700578859404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_udi_aharon_en_5.2.0_3.0_1700578859404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_udi_aharon|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Udi-Aharon/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_v3rx2000_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_v3rx2000_en.md
new file mode 100644
index 000000000000..766260b16563
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_v3rx2000_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_v3rx2000 DistilBertForTokenClassification from V3RX2000
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_v3rx2000
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_v3rx2000` is a English model originally trained by V3RX2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_v3rx2000_en_5.2.0_3.0_1700532913964.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_v3rx2000_en_5.2.0_3.0_1700532913964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_v3rx2000|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/V3RX2000/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_vibharkchauhan_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_vibharkchauhan_en.md
new file mode 100644
index 000000000000..c96965fb9573
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_vibharkchauhan_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_vibharkchauhan DistilBertForTokenClassification from Vibharkchauhan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_vibharkchauhan
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_vibharkchauhan` is a English model originally trained by Vibharkchauhan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vibharkchauhan_en_5.2.0_3.0_1700533873232.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vibharkchauhan_en_5.2.0_3.0_1700533873232.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_vibharkchauhan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Vibharkchauhan/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_yam1ke_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_yam1ke_en.md
new file mode 100644
index 000000000000..129361b604ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_yam1ke_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_yam1ke DistilBertForTokenClassification from yam1ke
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_yam1ke
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_yam1ke` is a English model originally trained by yam1ke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_yam1ke_en_5.2.0_3.0_1700581616896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_yam1ke_en_5.2.0_3.0_1700581616896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_yam1ke|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/yam1ke/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_zarinah_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_zarinah_en.md
new file mode 100644
index 000000000000..64e8cbd48bfe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_zarinah_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_zarinah DistilBertForTokenClassification from Zarinah
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_zarinah
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_zarinah` is a English model originally trained by Zarinah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_zarinah_en_5.2.0_3.0_1700584443501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_zarinah_en_5.2.0_3.0_1700584443501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_zarinah|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Zarinah/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_zboinek_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_zboinek_en.md
new file mode 100644
index 000000000000..3cadd9bc4491
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_zboinek_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_zboinek DistilBertForTokenClassification from zboinek
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_zboinek
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_zboinek` is a English model originally trained by zboinek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_zboinek_en_5.2.0_3.0_1700573072232.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_zboinek_en_5.2.0_3.0_1700573072232.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_zboinek|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/zboinek/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_zhihao_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_zhihao_en.md
new file mode 100644
index 000000000000..b348a4ab7498
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_ner_zhihao_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_zhihao DistilBertForTokenClassification from zhihao
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_zhihao
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_zhihao` is a English model originally trained by zhihao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_zhihao_en_5.2.0_3.0_1700576195607.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_zhihao_en_5.2.0_3.0_1700576195607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_zhihao|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/zhihao/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_pos_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_pos_en.md
new file mode 100644
index 000000000000..46bd7cecfd75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_pos_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_pos DistilBertForTokenClassification from AymenKallala
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_pos
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_pos` is a English model originally trained by AymenKallala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pos_en_5.2.0_3.0_1700591393001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_pos_en_5.2.0_3.0_1700591393001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_pos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/AymenKallala/distilbert-base-uncased-finetuned-POS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_sayula_popoluca_floressullon_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_sayula_popoluca_floressullon_en.md
new file mode 100644
index 000000000000..53b425c01bdb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_sayula_popoluca_floressullon_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sayula_popoluca_floressullon DistilBertForTokenClassification from floressullon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sayula_popoluca_floressullon
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sayula_popoluca_floressullon` is a English model originally trained by floressullon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sayula_popoluca_floressullon_en_5.2.0_3.0_1700528343911.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sayula_popoluca_floressullon_en_5.2.0_3.0_1700528343911.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sayula_popoluca_floressullon|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/floressullon/distilbert-base-uncased-finetuned-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_sayula_popoluca_tbosse_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_sayula_popoluca_tbosse_en.md
new file mode 100644
index 000000000000..e1c4f11a40c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_sayula_popoluca_tbosse_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sayula_popoluca_tbosse DistilBertForTokenClassification from tbosse
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sayula_popoluca_tbosse
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sayula_popoluca_tbosse` is a English model originally trained by tbosse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sayula_popoluca_tbosse_en_5.2.0_3.0_1700562855930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sayula_popoluca_tbosse_en_5.2.0_3.0_1700562855930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sayula_popoluca_tbosse|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/tbosse/distilbert-base-uncased-finetuned-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_scientific_eval_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_scientific_eval_en.md
new file mode 100644
index 000000000000..3bb31d32349c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_scientific_eval_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_scientific_eval DistilBertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_scientific_eval
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_scientific_eval` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_scientific_eval_en_5.2.0_3.0_1700588166377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_scientific_eval_en_5.2.0_3.0_1700588166377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_scientific_eval|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/distilbert-base-uncased-finetuned-scientific-eval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_sst_2_english_finetuned_argumentative_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_sst_2_english_finetuned_argumentative_en.md
new file mode 100644
index 000000000000..df53cc9a53dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_sst_2_english_finetuned_argumentative_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sst_2_english_finetuned_argumentative DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sst_2_english_finetuned_argumentative
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sst_2_english_finetuned_argumentative` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_argumentative_en_5.2.0_3.0_1700527547025.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sst_2_english_finetuned_argumentative_en_5.2.0_3.0_1700527547025.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sst_2_english_finetuned_argumentative|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/distilbert-base-uncased-finetuned-sst-2-english-finetuned-argumentative
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_tokenclassification_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_tokenclassification_en.md
new file mode 100644
index 000000000000..93d5e86790ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_tokenclassification_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_tokenclassification DistilBertForTokenClassification from Thi-Thu-Huong
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_tokenclassification
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_tokenclassification` is a English model originally trained by Thi-Thu-Huong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tokenclassification_en_5.2.0_3.0_1700588680107.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tokenclassification_en_5.2.0_3.0_1700588680107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_tokenclassification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Thi-Thu-Huong/distilbert-base-uncased-finetuned-tokenclassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_tt2_exam_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_tt2_exam_en.md
new file mode 100644
index 000000000000..078d6cafffc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_tt2_exam_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_tt2_exam DistilBertForTokenClassification from roschmid
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_tt2_exam
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_tt2_exam` is a English model originally trained by roschmid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tt2_exam_en_5.2.0_3.0_1700582668092.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tt2_exam_en_5.2.0_3.0_1700582668092.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_tt2_exam|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/roschmid/distilbert-base-uncased-finetuned-TT2-exam
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_wnut_17_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_wnut_17_ner_en.md
new file mode 100644
index 000000000000..1fd80ed648c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_finetuned_wnut_17_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_wnut_17_ner DistilBertForTokenClassification from maksim2000153
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_wnut_17_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_wnut_17_ner` is a English model originally trained by maksim2000153.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_wnut_17_ner_en_5.2.0_3.0_1700589176863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_wnut_17_ner_en_5.2.0_3.0_1700589176863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_wnut_17_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/maksim2000153/distilbert-base-uncased-finetuned-wnut_17-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_mapa_ner_coarse_grained_v2_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_mapa_ner_coarse_grained_v2_en.md
new file mode 100644
index 000000000000..d755a2faf110
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_mapa_ner_coarse_grained_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_mapa_ner_coarse_grained_v2 DistilBertForTokenClassification from dmargutierrez
+author: John Snow Labs
+name: distilbert_base_uncased_mapa_ner_coarse_grained_v2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_mapa_ner_coarse_grained_v2` is a English model originally trained by dmargutierrez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mapa_ner_coarse_grained_v2_en_5.2.0_3.0_1700553052565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mapa_ner_coarse_grained_v2_en_5.2.0_3.0_1700553052565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_mapa_ner_coarse_grained_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/dmargutierrez/distilbert-base-uncased-mapa-ner-coarse_grained-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_chuvash_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_chuvash_en.md
new file mode 100644
index 000000000000..fb6189592d8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_chuvash_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_chuvash DistilBertForTokenClassification from jhonparra18
+author: John Snow Labs
+name: distilbert_base_uncased_ner_chuvash
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_chuvash` is a English model originally trained by jhonparra18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_chuvash_en_5.2.0_3.0_1700558317339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_chuvash_en_5.2.0_3.0_1700558317339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_chuvash|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jhonparra18/distilbert-base-uncased-ner_cv
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_conll2003_andi611_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_conll2003_andi611_en.md
new file mode 100644
index 000000000000..dbc1623bb983
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_conll2003_andi611_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_conll2003_andi611 DistilBertForTokenClassification from andi611
+author: John Snow Labs
+name: distilbert_base_uncased_ner_conll2003_andi611
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_conll2003_andi611` is a English model originally trained by andi611.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_conll2003_andi611_en_5.2.0_3.0_1700549562055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_conll2003_andi611_en_5.2.0_3.0_1700549562055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_conll2003_andi611|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/andi611/distilbert-base-uncased-ner-conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_conll2003_gladiator_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_conll2003_gladiator_en.md
new file mode 100644
index 000000000000..bd3f37370f47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_conll2003_gladiator_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_conll2003_gladiator DistilBertForTokenClassification from Gladiator
+author: John Snow Labs
+name: distilbert_base_uncased_ner_conll2003_gladiator
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_conll2003_gladiator` is a English model originally trained by Gladiator.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_conll2003_gladiator_en_5.2.0_3.0_1700567688331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_conll2003_gladiator_en_5.2.0_3.0_1700567688331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_conll2003_gladiator|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Gladiator/distilbert-base-uncased_ner_conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_27_02_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_27_02_en.md
new file mode 100644
index 000000000000..5fd8653a777a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_27_02_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_27_02 DistilBertForTokenClassification from Lilya
+author: John Snow Labs
+name: distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_27_02
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_27_02` is a English model originally trained by Lilya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_27_02_en_5.2.0_3.0_1700578259961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_27_02_en_5.2.0_3.0_1700578259961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_27_02|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Lilya/distilbert-base-uncased-ner-invoiceSenderRecipient_clean_inv_27_02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_mit_restaurant_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_mit_restaurant_en.md
new file mode 100644
index 000000000000..eadbfd7bef1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_mit_restaurant_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_mit_restaurant DistilBertForTokenClassification from andi611
+author: John Snow Labs
+name: distilbert_base_uncased_ner_mit_restaurant
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_mit_restaurant` is a English model originally trained by andi611.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_mit_restaurant_en_5.2.0_3.0_1700528445202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_mit_restaurant_en_5.2.0_3.0_1700528445202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_mit_restaurant|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/andi611/distilbert-base-uncased-ner-mit-restaurant
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_visbank_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_visbank_en.md
new file mode 100644
index 000000000000..5454f4666c81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_visbank_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_visbank DistilBertForTokenClassification from Yamei
+author: John Snow Labs
+name: distilbert_base_uncased_ner_visbank
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_visbank` is a English model originally trained by Yamei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_visbank_en_5.2.0_3.0_1700577870369.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_visbank_en_5.2.0_3.0_1700577870369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_visbank|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Yamei/distilbert-base-uncased_NER_VISBank
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_wikiann_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_wikiann_en.md
new file mode 100644
index 000000000000..7e0f8ceb1c67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_wikiann_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_wikiann DistilBertForTokenClassification from Gladiator
+author: John Snow Labs
+name: distilbert_base_uncased_ner_wikiann
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_wikiann` is a English model originally trained by Gladiator.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_wikiann_en_5.2.0_3.0_1700558378341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_wikiann_en_5.2.0_3.0_1700558378341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_wikiann|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Gladiator/distilbert-base-uncased_ner_wikiann
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_wnut_17_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_wnut_17_en.md
new file mode 100644
index 000000000000..ccf9250b9658
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_ner_wnut_17_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_wnut_17 DistilBertForTokenClassification from Gladiator
+author: John Snow Labs
+name: distilbert_base_uncased_ner_wnut_17
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_wnut_17` is a English model originally trained by Gladiator.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_wnut_17_en_5.2.0_3.0_1700529351007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_wnut_17_en_5.2.0_3.0_1700529351007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_wnut_17|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Gladiator/distilbert-base-uncased_ner_wnut_17
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_tasteset_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_tasteset_ner_en.md
new file mode 100644
index 000000000000..2f34e9c2e635
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_tasteset_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_tasteset_ner DistilBertForTokenClassification from dmargutierrez
+author: John Snow Labs
+name: distilbert_base_uncased_tasteset_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_tasteset_ner` is a English model originally trained by dmargutierrez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tasteset_ner_en_5.2.0_3.0_1700548582498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tasteset_ner_en_5.2.0_3.0_1700548582498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_tasteset_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/dmargutierrez/distilbert-base-uncased-TASTESet-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_test2_oyvindgrutle_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_test2_oyvindgrutle_en.md
new file mode 100644
index 000000000000..6581995c66d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_test2_oyvindgrutle_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_test2_oyvindgrutle DistilBertForTokenClassification from oyvindgrutle
+author: John Snow Labs
+name: distilbert_base_uncased_test2_oyvindgrutle
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_test2_oyvindgrutle` is a English model originally trained by oyvindgrutle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_test2_oyvindgrutle_en_5.2.0_3.0_1700578795647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_test2_oyvindgrutle_en_5.2.0_3.0_1700578795647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_test2_oyvindgrutle|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/oyvindgrutle/distilbert-base-uncased-test2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_wnut_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_wnut_ner_en.md
new file mode 100644
index 000000000000..47d9ff56fd8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_base_uncased_wnut_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_wnut_ner DistilBertForTokenClassification from dmargutierrez
+author: John Snow Labs
+name: distilbert_base_uncased_wnut_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_wnut_ner` is a English model originally trained by dmargutierrez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_wnut_ner_en_5.2.0_3.0_1700583446502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_wnut_ner_en_5.2.0_3.0_1700583446502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_wnut_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/dmargutierrez/distilbert-base-uncased-WNUT-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_based_german_cased_ler_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_based_german_cased_ler_en.md
new file mode 100644
index 000000000000..eeaf2d87ba7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_based_german_cased_ler_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_based_german_cased_ler DistilBertForTokenClassification from joelniklaus
+author: John Snow Labs
+name: distilbert_based_german_cased_ler
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_based_german_cased_ler` is a English model originally trained by joelniklaus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_based_german_cased_ler_en_5.2.0_3.0_1700561966367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_based_german_cased_ler_en_5.2.0_3.0_1700561966367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_based_german_cased_ler|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.4 MB|
+
+## References
+
+https://huggingface.co/joelniklaus/distilbert-based-german-cased-ler
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_carpentries_restaurant_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_carpentries_restaurant_ner_en.md
new file mode 100644
index 000000000000..0ea7cd898f41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_carpentries_restaurant_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_carpentries_restaurant_ner DistilBertForTokenClassification from karlholten
+author: John Snow Labs
+name: distilbert_carpentries_restaurant_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_carpentries_restaurant_ner` is a English model originally trained by karlholten.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_carpentries_restaurant_ner_en_5.2.0_3.0_1700580817347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_carpentries_restaurant_ner_en_5.2.0_3.0_1700580817347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_carpentries_restaurant_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/karlholten/distilbert-carpentries-restaurant-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_casing_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_casing_en.md
new file mode 100644
index 000000000000..4d696ba94623
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_casing_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_casing DistilBertForTokenClassification from aseifert
+author: John Snow Labs
+name: distilbert_casing
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_casing` is a English model originally trained by aseifert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_casing_en_5.2.0_3.0_1700531928609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_casing_en_5.2.0_3.0_1700531928609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_casing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/aseifert/distilbert-casing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_ai4privacy_50k_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_ai4privacy_50k_en.md
new file mode 100644
index 000000000000..2acd8399e714
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_ai4privacy_50k_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_ai4privacy_50k DistilBertForTokenClassification from Isotonic
+author: John Snow Labs
+name: distilbert_finetuned_ai4privacy_50k
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_ai4privacy_50k` is a English model originally trained by Isotonic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ai4privacy_50k_en_5.2.0_3.0_1700576951848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ai4privacy_50k_en_5.2.0_3.0_1700576951848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_ai4privacy_50k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.6 MB|
+
+## References
+
+https://huggingface.co/Isotonic/distilbert_finetuned_ai4privacy_50k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_ai4privacy_singhtanmay6735_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_ai4privacy_singhtanmay6735_en.md
new file mode 100644
index 000000000000..c12834ae911b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_ai4privacy_singhtanmay6735_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_ai4privacy_singhtanmay6735 DistilBertForTokenClassification from singhtanmay6735
+author: John Snow Labs
+name: distilbert_finetuned_ai4privacy_singhtanmay6735
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_ai4privacy_singhtanmay6735` is a English model originally trained by singhtanmay6735.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ai4privacy_singhtanmay6735_en_5.2.0_3.0_1700540909754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ai4privacy_singhtanmay6735_en_5.2.0_3.0_1700540909754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_ai4privacy_singhtanmay6735|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.6 MB|
+
+## References
+
+https://huggingface.co/singhtanmay6735/distilbert_finetuned_ai4privacy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_disaster_entity_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_disaster_entity_en.md
new file mode 100644
index 000000000000..adb221df6ed0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_disaster_entity_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_disaster_entity DistilBertForTokenClassification from DipeshY
+author: John Snow Labs
+name: distilbert_finetuned_disaster_entity
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_disaster_entity` is a English model originally trained by DipeshY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_disaster_entity_en_5.2.0_3.0_1700527391044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_disaster_entity_en_5.2.0_3.0_1700527391044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_disaster_entity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/DipeshY/distilbert-finetuned-disaster-entity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_gesture_prediction_9_classes_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_gesture_prediction_9_classes_en.md
new file mode 100644
index 000000000000..0a2c730d2435
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_gesture_prediction_9_classes_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_gesture_prediction_9_classes DistilBertForTokenClassification from qfrodicio
+author: John Snow Labs
+name: distilbert_finetuned_gesture_prediction_9_classes
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_gesture_prediction_9_classes` is a English model originally trained by qfrodicio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_gesture_prediction_9_classes_en_5.2.0_3.0_1700589962924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_gesture_prediction_9_classes_en_5.2.0_3.0_1700589962924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_gesture_prediction_9_classes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/qfrodicio/distilbert-finetuned-gesture-prediction-9-classes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_ner_ontonotes_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_ner_ontonotes_en.md
new file mode 100644
index 000000000000..91b44749bf66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_ner_ontonotes_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_ner_ontonotes DistilBertForTokenClassification from nickprock
+author: John Snow Labs
+name: distilbert_finetuned_ner_ontonotes
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_ner_ontonotes` is a English model originally trained by nickprock.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_ontonotes_en_5.2.0_3.0_1700546592804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_ontonotes_en_5.2.0_3.0_1700546592804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_ner_ontonotes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.9 MB|
+
+## References
+
+https://huggingface.co/nickprock/distilbert-finetuned-ner-ontonotes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_sayula_popoluca_tag_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_sayula_popoluca_tag_en.md
new file mode 100644
index 000000000000..d2ca362aab63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_sayula_popoluca_tag_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_sayula_popoluca_tag DistilBertForTokenClassification from Suraj-Yadav
+author: John Snow Labs
+name: distilbert_finetuned_sayula_popoluca_tag
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_sayula_popoluca_tag` is a English model originally trained by Suraj-Yadav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_sayula_popoluca_tag_en_5.2.0_3.0_1700538653260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_sayula_popoluca_tag_en_5.2.0_3.0_1700538653260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_sayula_popoluca_tag|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Suraj-Yadav/distilbert-finetuned-pos-tag
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_wnut17_wandb_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_wnut17_wandb_ner_en.md
new file mode 100644
index 000000000000..afe2f232304e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_finetuned_wnut17_wandb_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_wnut17_wandb_ner DistilBertForTokenClassification from anudeepvanjavakam
+author: John Snow Labs
+name: distilbert_finetuned_wnut17_wandb_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_wnut17_wandb_ner` is a English model originally trained by anudeepvanjavakam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_wnut17_wandb_ner_en_5.2.0_3.0_1700576042886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_wnut17_wandb_ner_en_5.2.0_3.0_1700576042886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_wnut17_wandb_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/anudeepvanjavakam/distilbert_finetuned_wnut17_wandb_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_legal_chunk_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_legal_chunk_en.md
new file mode 100644
index 000000000000..42d3dc452ad5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_legal_chunk_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_legal_chunk DistilBertForTokenClassification from SpectaclesLLC
+author: John Snow Labs
+name: distilbert_legal_chunk
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_legal_chunk` is a English model originally trained by SpectaclesLLC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_legal_chunk_en_5.2.0_3.0_1700547400127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_legal_chunk_en_5.2.0_3.0_1700547400127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_legal_chunk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/SpectaclesLLC/distilbert-legal-chunk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_legal_definitions_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_legal_definitions_en.md
new file mode 100644
index 000000000000..e641819b8af7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_legal_definitions_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_legal_definitions DistilBertForTokenClassification from SpectaclesLLC
+author: John Snow Labs
+name: distilbert_legal_definitions
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_legal_definitions` is a English model originally trained by SpectaclesLLC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_legal_definitions_en_5.2.0_3.0_1700543003113.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_legal_definitions_en_5.2.0_3.0_1700543003113.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_multilingual_base_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/livinNector/distilbert-multilingual-base-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_ner_wnut17_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_ner_wnut17_en.md
new file mode 100644
index 000000000000..1d37f67eb88d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_ner_wnut17_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_ner_wnut17 DistilBertForTokenClassification from NouRed
+author: John Snow Labs
+name: distilbert_ner_wnut17
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_ner_wnut17` is a English model originally trained by NouRed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_ner_wnut17_en_5.2.0_3.0_1700547473223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_ner_wnut17_en_5.2.0_3.0_1700547473223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_ner_wnut17|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/NouRed/distilbert_ner_wnut17
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_english_judgements_laws_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_english_judgements_laws_en.md
new file mode 100644
index 000000000000..6c1d2a75a426
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_english_judgements_laws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_english_judgements_laws DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_english_judgements_laws
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_english_judgements_laws` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_english_judgements_laws_en_5.2.0_3.0_1700527817695.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_english_judgements_laws_en_5.2.0_3.0_1700527817695.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_english_judgements_laws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-en-judgements-laws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_french_judgements_laws_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_french_judgements_laws_en.md
new file mode 100644
index 000000000000..7a79789e4a80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_french_judgements_laws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_french_judgements_laws DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_french_judgements_laws
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_french_judgements_laws` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_judgements_laws_en_5.2.0_3.0_1700544676846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_judgements_laws_en_5.2.0_3.0_1700544676846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_french_judgements_laws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-fr-judgements-laws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_french_spanish_italian_english_german_judgements_laws_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_french_spanish_italian_english_german_judgements_laws_en.md
new file mode 100644
index 000000000000..76dc2181bae0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_french_spanish_italian_english_german_judgements_laws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_french_spanish_italian_english_german_judgements_laws DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_french_spanish_italian_english_german_judgements_laws
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_french_spanish_italian_english_german_judgements_laws` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_spanish_italian_english_german_judgements_laws_en_5.2.0_3.0_1700535633054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_spanish_italian_english_german_judgements_laws_en_5.2.0_3.0_1700535633054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_french_spanish_italian_english_german_judgements_laws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-fr-es-it-en-de-judgements-laws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_french_spanish_italian_english_german_laws_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_french_spanish_italian_english_german_laws_en.md
new file mode 100644
index 000000000000..785ba9cc9fe9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_french_spanish_italian_english_german_laws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_french_spanish_italian_english_german_laws DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_french_spanish_italian_english_german_laws
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_french_spanish_italian_english_german_laws` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_spanish_italian_english_german_laws_en_5.2.0_3.0_1700587019658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_spanish_italian_english_german_laws_en_5.2.0_3.0_1700587019658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_french_spanish_italian_english_german_laws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-fr-es-it-en-de-laws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_german_judgements_laws_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_german_judgements_laws_en.md
new file mode 100644
index 000000000000..21264f309009
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_german_judgements_laws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_german_judgements_laws DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_german_judgements_laws
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_german_judgements_laws` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_german_judgements_laws_en_5.2.0_3.0_1700542404811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_german_judgements_laws_en_5.2.0_3.0_1700542404811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_german_judgements_laws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-de-judgements-laws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_german_laws_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_german_laws_en.md
new file mode 100644
index 000000000000..f2b8a1ae9337
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_german_laws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_german_laws DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_german_laws
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_german_laws` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_german_laws_en_5.2.0_3.0_1700586849001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_german_laws_en_5.2.0_3.0_1700586849001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_german_laws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-de-laws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_spanish_judgements_laws_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_spanish_judgements_laws_en.md
new file mode 100644
index 000000000000..52b093c7e325
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_sbd_spanish_judgements_laws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_spanish_judgements_laws DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_spanish_judgements_laws
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_spanish_judgements_laws` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_spanish_judgements_laws_en_5.2.0_3.0_1700580018326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_spanish_judgements_laws_en_5.2.0_3.0_1700580018326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_spanish_judgements_laws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-es-judgements-laws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_srb_ner_setimes_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_srb_ner_setimes_en.md
new file mode 100644
index 000000000000..60f1d233d912
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_srb_ner_setimes_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_srb_ner_setimes DistilBertForTokenClassification from Aleksandar
+author: John Snow Labs
+name: distilbert_srb_ner_setimes
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_srb_ner_setimes` is a English model originally trained by Aleksandar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_srb_ner_setimes_en_5.2.0_3.0_1700533923372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_srb_ner_setimes_en_5.2.0_3.0_1700533923372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_srb_ner_setimes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|306.0 MB|
+
+## References
+
+https://huggingface.co/Aleksandar/distilbert-srb-ner-setimes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_srb_ner_sr.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_srb_ner_sr.md
new file mode 100644
index 000000000000..b626046f6d6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_srb_ner_sr.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: Serbian distilbert_srb_ner DistilBertForTokenClassification from Aleksandar
+author: John Snow Labs
+name: distilbert_srb_ner
+date: 2023-11-21
+tags: [bert, sr, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: sr
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_srb_ner` is a Serbian model originally trained by Aleksandar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_srb_ner_sr_5.2.0_3.0_1700529816033.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_srb_ner_sr_5.2.0_3.0_1700529816033.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_srb_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|sr|
+|Size:|306.0 MB|
+
+## References
+
+https://huggingface.co/Aleksandar/distilbert-srb-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_class_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_class_en.md
new file mode 100644
index 000000000000..710b978710a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_class_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_token_class DistilBertForTokenClassification from Varunreddy
+author: John Snow Labs
+name: distilbert_token_class
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_token_class` is a English model originally trained by Varunreddy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_token_class_en_5.2.0_3.0_1700591090678.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_token_class_en_5.2.0_3.0_1700591090678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_token_class|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Varunreddy/distilbert-token-class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_0_0001_all_01_03_2022_14_30_58_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_0_0001_all_01_03_2022_14_30_58_en.md
new file mode 100644
index 000000000000..4f1ab64dfd5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_0_0001_all_01_03_2022_14_30_58_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_token_itr0_0_0001_all_01_03_2022_14_30_58 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: distilbert_token_itr0_0_0001_all_01_03_2022_14_30_58
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_token_itr0_0_0001_all_01_03_2022_14_30_58` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_0_0001_all_01_03_2022_14_30_58_en_5.2.0_3.0_1700545528224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_0_0001_all_01_03_2022_14_30_58_en_5.2.0_3.0_1700545528224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_token_itr0_0_0001_all_01_03_2022_14_30_58|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/distilbert_token_itr0_0.0001_all_01_03_2022-14_30_58
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_all_01_03_2022_14_33_33_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_all_01_03_2022_14_33_33_en.md
new file mode 100644
index 000000000000..150db9fcd9e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_all_01_03_2022_14_33_33_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_token_itr0_1e_05_all_01_03_2022_14_33_33 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: distilbert_token_itr0_1e_05_all_01_03_2022_14_33_33
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_token_itr0_1e_05_all_01_03_2022_14_33_33` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_1e_05_all_01_03_2022_14_33_33_en_5.2.0_3.0_1700551286786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_1e_05_all_01_03_2022_14_33_33_en_5.2.0_3.0_1700551286786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_token_itr0_1e_05_all_01_03_2022_14_33_33|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/distilbert_token_itr0_1e-05_all_01_03_2022-14_33_33
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_all_01_03_2022_15_14_04_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_all_01_03_2022_15_14_04_en.md
new file mode 100644
index 000000000000..df6d24fb01b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_all_01_03_2022_15_14_04_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_token_itr0_1e_05_all_01_03_2022_15_14_04 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: distilbert_token_itr0_1e_05_all_01_03_2022_15_14_04
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_token_itr0_1e_05_all_01_03_2022_15_14_04` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_1e_05_all_01_03_2022_15_14_04_en_5.2.0_3.0_1700570731354.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_1e_05_all_01_03_2022_15_14_04_en_5.2.0_3.0_1700570731354.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_token_itr0_1e_05_all_01_03_2022_15_14_04|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/distilBERT_token_itr0_1e-05_all_01_03_2022-15_14_04
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_editorials_01_03_2022_15_12_47_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_editorials_01_03_2022_15_12_47_en.md
new file mode 100644
index 000000000000..acb641c8352f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_editorials_01_03_2022_15_12_47_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_token_itr0_1e_05_editorials_01_03_2022_15_12_47 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: distilbert_token_itr0_1e_05_editorials_01_03_2022_15_12_47
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_token_itr0_1e_05_editorials_01_03_2022_15_12_47` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_1e_05_editorials_01_03_2022_15_12_47_en_5.2.0_3.0_1700575279883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_1e_05_editorials_01_03_2022_15_12_47_en_5.2.0_3.0_1700575279883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_token_itr0_1e_05_editorials_01_03_2022_15_12_47|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/distilBERT_token_itr0_1e-05_editorials_01_03_2022-15_12_47
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_essays_01_03_2022_15_11_44_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_essays_01_03_2022_15_11_44_en.md
new file mode 100644
index 000000000000..ef16f0dcd373
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_essays_01_03_2022_15_11_44_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_token_itr0_1e_05_essays_01_03_2022_15_11_44 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: distilbert_token_itr0_1e_05_essays_01_03_2022_15_11_44
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_token_itr0_1e_05_essays_01_03_2022_15_11_44` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_1e_05_essays_01_03_2022_15_11_44_en_5.2.0_3.0_1700579901301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_1e_05_essays_01_03_2022_15_11_44_en_5.2.0_3.0_1700579901301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_token_itr0_1e_05_essays_01_03_2022_15_11_44|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/distilBERT_token_itr0_1e-05_essays_01_03_2022-15_11_44
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_10_39_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_10_39_en.md
new file mode 100644
index 000000000000..c0ddde27bc5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_10_39_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_10_39 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_10_39
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_10_39` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_10_39_en_5.2.0_3.0_1700558378399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_10_39_en_5.2.0_3.0_1700558378399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_token_itr0_1e_05_webdiscourse_01_03_2022_15_10_39|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/distilBERT_token_itr0_1e-05_webDiscourse_01_03_2022-15_10_39
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-distilbert_uncased_finetuned_wnut17_en.md b/docs/_posts/ahmedlone127/2023-11-21-distilbert_uncased_finetuned_wnut17_en.md
new file mode 100644
index 000000000000..c7ec3acb1857
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-distilbert_uncased_finetuned_wnut17_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_uncased_finetuned_wnut17 DistilBertForTokenClassification from anudeepvanjavakam
+author: John Snow Labs
+name: distilbert_uncased_finetuned_wnut17
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_uncased_finetuned_wnut17` is a English model originally trained by anudeepvanjavakam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_uncased_finetuned_wnut17_en_5.2.0_3.0_1700571721440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_uncased_finetuned_wnut17_en_5.2.0_3.0_1700571721440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_uncased_finetuned_wnut17|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/anudeepvanjavakam/distilbert_uncased_finetuned_wnut17
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-entity_extract_en.md b/docs/_posts/ahmedlone127/2023-11-21-entity_extract_en.md
new file mode 100644
index 000000000000..0ff27c0a38db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-entity_extract_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English entity_extract DistilBertForTokenClassification from abcdda
+author: John Snow Labs
+name: entity_extract
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`entity_extract` is a English model originally trained by abcdda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entity_extract_en_5.2.0_3.0_1700546511189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/entity_extract_en_5.2.0_3.0_1700546511189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|entity_extract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/abcdda/entity_extract
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-evaluating_student_writing_distibert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-evaluating_student_writing_distibert_ner_en.md
new file mode 100644
index 000000000000..07a4b3a7d551
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-evaluating_student_writing_distibert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English evaluating_student_writing_distibert_ner DistilBertForTokenClassification from NahedAbdelgaber
+author: John Snow Labs
+name: evaluating_student_writing_distibert_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`evaluating_student_writing_distibert_ner` is a English model originally trained by NahedAbdelgaber.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/evaluating_student_writing_distibert_ner_en_5.2.0_3.0_1700552972148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/evaluating_student_writing_distibert_ner_en_5.2.0_3.0_1700552972148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|evaluating_student_writing_distibert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/NahedAbdelgaber/evaluating-student-writing-distibert-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-evaluating_student_writing_distibert_ner_with_metric_en.md b/docs/_posts/ahmedlone127/2023-11-21-evaluating_student_writing_distibert_ner_with_metric_en.md
new file mode 100644
index 000000000000..ca2e9568acc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-evaluating_student_writing_distibert_ner_with_metric_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English evaluating_student_writing_distibert_ner_with_metric DistilBertForTokenClassification from NahedAbdelgaber
+author: John Snow Labs
+name: evaluating_student_writing_distibert_ner_with_metric
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`evaluating_student_writing_distibert_ner_with_metric` is a English model originally trained by NahedAbdelgaber.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/evaluating_student_writing_distibert_ner_with_metric_en_5.2.0_3.0_1700548734472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/evaluating_student_writing_distibert_ner_with_metric_en_5.2.0_3.0_1700548734472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|evaluating_student_writing_distibert_ner_with_metric|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/NahedAbdelgaber/evaluating-student-writing-distibert-ner-with-metric
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-fine_tuned_cybersecurity_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-fine_tuned_cybersecurity_ner_en.md
new file mode 100644
index 000000000000..d9c455e0b27a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-fine_tuned_cybersecurity_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English fine_tuned_cybersecurity_ner DistilBertForTokenClassification from Abiral7
+author: John Snow Labs
+name: fine_tuned_cybersecurity_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_cybersecurity_ner` is a English model originally trained by Abiral7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_cybersecurity_ner_en_5.2.0_3.0_1700538826843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_cybersecurity_ner_en_5.2.0_3.0_1700538826843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_cybersecurity_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Abiral7/fine-tuned-cybersecurity-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_distilbert_persian_farsi_zwnj_base_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_distilbert_persian_farsi_zwnj_base_ner_en.md
new file mode 100644
index 000000000000..a063d11c3158
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_distilbert_persian_farsi_zwnj_base_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_distilbert_persian_farsi_zwnj_base_ner DistilBertForTokenClassification from mehdidn
+author: John Snow Labs
+name: finetuned_distilbert_persian_farsi_zwnj_base_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_distilbert_persian_farsi_zwnj_base_ner` is a English model originally trained by mehdidn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_persian_farsi_zwnj_base_ner_en_5.2.0_3.0_1700553059634.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_distilbert_persian_farsi_zwnj_base_ner_en_5.2.0_3.0_1700553059634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_distilbert_persian_farsi_zwnj_base_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|282.3 MB|
+
+## References
+
+https://huggingface.co/mehdidn/finetuned_distilbert_fa_zwnj_base_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_01_30_30_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_01_30_30_en.md
new file mode 100644
index 000000000000..11a0b2187c26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_01_30_30_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_01_30_30 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_01_30_30
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_01_30_30` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_01_30_30_en_5.2.0_3.0_1700567866276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_01_30_30_en_5.2.0_3.0_1700567866276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_01_30_30|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-01_30_30
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_01_55_54_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_01_55_54_en.md
new file mode 100644
index 000000000000..d9276d6b8b15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_01_55_54_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_01_55_54 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_01_55_54
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_01_55_54` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_01_55_54_en_5.2.0_3.0_1700559280542.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_01_55_54_en_5.2.0_3.0_1700559280542.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_01_55_54|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-01_55_54
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_15_41_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_15_41_en.md
new file mode 100644
index 000000000000..34f7ec05fb10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_15_41_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_14_15_41 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_14_15_41
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_14_15_41` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_15_41_en_5.2.0_3.0_1700558378304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_15_41_en_5.2.0_3.0_1700558378304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_14_15_41|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-14_15_41
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_18_19_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_18_19_en.md
new file mode 100644
index 000000000000..7b9e5ae87aa5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_18_19_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_14_18_19 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_14_18_19
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_14_18_19` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_18_19_en_5.2.0_3.0_1700559302880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_18_19_en_5.2.0_3.0_1700559302880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_14_18_19|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-14_18_19
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_20_41_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_20_41_en.md
new file mode 100644
index 000000000000..8cf48df92cc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_20_41_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_14_20_41 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_14_20_41
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_14_20_41` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_20_41_en_5.2.0_3.0_1700555369530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_20_41_en_5.2.0_3.0_1700555369530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_14_20_41|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-14_20_41
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_23_23_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_23_23_en.md
new file mode 100644
index 000000000000..410bcfd7984e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_23_23_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_14_23_23 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_14_23_23
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_14_23_23` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_23_23_en_5.2.0_3.0_1700567093573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_23_23_en_5.2.0_3.0_1700567093573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_14_23_23|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-14_23_23
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_25_47_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_25_47_en.md
new file mode 100644
index 000000000000..bc333fcf2d0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_25_47_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_14_25_47 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_14_25_47
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_14_25_47` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_25_47_en_5.2.0_3.0_1700578794940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_25_47_en_5.2.0_3.0_1700578794940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_14_25_47|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-14_25_47
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_28_10_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_28_10_en.md
new file mode 100644
index 000000000000..32afa9224600
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_28_10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_14_28_10 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_14_28_10
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_14_28_10` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_28_10_en_5.2.0_3.0_1700559186488.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_28_10_en_5.2.0_3.0_1700559186488.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_14_28_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-14_28_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_30_32_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_30_32_en.md
new file mode 100644
index 000000000000..f6fe1f883162
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_30_32_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_14_30_32 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_14_30_32
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_14_30_32` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_30_32_en_5.2.0_3.0_1700559186155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_30_32_en_5.2.0_3.0_1700559186155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_14_30_32|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-14_30_32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_32_56_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_32_56_en.md
new file mode 100644
index 000000000000..6890f88456fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_32_56_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_14_32_56 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_14_32_56
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_14_32_56` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_32_56_en_5.2.0_3.0_1700547517640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_32_56_en_5.2.0_3.0_1700547517640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_14_32_56|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-14_32_56
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_35_19_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_35_19_en.md
new file mode 100644
index 000000000000..593105dff059
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_35_19_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_14_35_19 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_14_35_19
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_14_35_19` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_35_19_en_5.2.0_3.0_1700560117980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_35_19_en_5.2.0_3.0_1700560117980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_14_35_19|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-14_35_19
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_37_42_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_37_42_en.md
new file mode 100644
index 000000000000..7983af691313
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_16_02_2022_14_37_42_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_16_02_2022_14_37_42 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_16_02_2022_14_37_42
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_16_02_2022_14_37_42` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_37_42_en_5.2.0_3.0_1700583446512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_16_02_2022_14_37_42_en_5.2.0_3.0_1700583446512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_16_02_2022_14_37_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_16_02_2022-14_37_42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_41_15_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_41_15_en.md
new file mode 100644
index 000000000000..cb3b98b2de6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_41_15_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_all_16_02_2022_15_41_15 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_all_16_02_2022_15_41_15
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_all_16_02_2022_15_41_15` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_41_15_en_5.2.0_3.0_1700573537289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_41_15_en_5.2.0_3.0_1700573537289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_all_16_02_2022_15_41_15|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_all_16_02_2022-15_41_15
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_43_42_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_43_42_en.md
new file mode 100644
index 000000000000..f8ecdc370b0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_43_42_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_all_16_02_2022_15_43_42 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_all_16_02_2022_15_43_42
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_all_16_02_2022_15_43_42` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_43_42_en_5.2.0_3.0_1700551327531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_43_42_en_5.2.0_3.0_1700551327531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_all_16_02_2022_15_43_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_all_16_02_2022-15_43_42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_46_07_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_46_07_en.md
new file mode 100644
index 000000000000..29f11077d660
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_46_07_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_all_16_02_2022_15_46_07 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_all_16_02_2022_15_46_07
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_all_16_02_2022_15_46_07` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_46_07_en_5.2.0_3.0_1700540009769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_46_07_en_5.2.0_3.0_1700540009769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_all_16_02_2022_15_46_07|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_all_16_02_2022-15_46_07
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_48_32_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_48_32_en.md
new file mode 100644
index 000000000000..091a15148992
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_48_32_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_all_16_02_2022_15_48_32 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_all_16_02_2022_15_48_32
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_all_16_02_2022_15_48_32` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_48_32_en_5.2.0_3.0_1700564714798.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_48_32_en_5.2.0_3.0_1700564714798.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_all_16_02_2022_15_48_32|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_all_16_02_2022-15_48_32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_53_17_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_53_17_en.md
new file mode 100644
index 000000000000..64e4664646b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_53_17_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_all_16_02_2022_15_53_17 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_all_16_02_2022_15_53_17
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_all_16_02_2022_15_53_17` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_53_17_en_5.2.0_3.0_1700575279900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_53_17_en_5.2.0_3.0_1700575279900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_all_16_02_2022_15_53_17|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_all_16_02_2022-15_53_17
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_56_33_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_56_33_en.md
new file mode 100644
index 000000000000..3ac3b50c7cbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_56_33_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_all_16_02_2022_15_56_33 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_all_16_02_2022_15_56_33
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_all_16_02_2022_15_56_33` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_56_33_en_5.2.0_3.0_1700556619374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_56_33_en_5.2.0_3.0_1700556619374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_all_16_02_2022_15_56_33|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_all_16_02_2022-15_56_33
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_59_50_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_59_50_en.md
new file mode 100644
index 000000000000..29579a89b1b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_15_59_50_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_all_16_02_2022_15_59_50 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_all_16_02_2022_15_59_50
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_all_16_02_2022_15_59_50` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_59_50_en_5.2.0_3.0_1700577869653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_59_50_en_5.2.0_3.0_1700577869653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_all_16_02_2022_15_59_50|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_all_16_02_2022-15_59_50
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_16_03_05_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_16_03_05_en.md
new file mode 100644
index 000000000000..b6118934d397
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_16_03_05_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_all_16_02_2022_16_03_05 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_all_16_02_2022_16_03_05
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_all_16_02_2022_16_03_05` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_16_03_05_en_5.2.0_3.0_1700557518248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_16_03_05_en_5.2.0_3.0_1700557518248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_all_16_02_2022_16_03_05|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_all_16_02_2022-16_03_05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_16_06_20_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_16_06_20_en.md
new file mode 100644
index 000000000000..dffc8ceee58f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_2e_05_all_16_02_2022_16_06_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_2e_05_all_16_02_2022_16_06_20 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_all_16_02_2022_16_06_20
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_2e_05_all_16_02_2022_16_06_20` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_16_06_20_en_5.2.0_3.0_1700581676877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_16_06_20_en_5.2.0_3.0_1700581676877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_all_16_02_2022_16_06_20|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_all_16_02_2022-16_06_20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_09_36_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_09_36_en.md
new file mode 100644
index 000000000000..241d5e656091
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_09_36_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_3e_05_all_16_02_2022_16_09_36 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_3e_05_all_16_02_2022_16_09_36
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_3e_05_all_16_02_2022_16_09_36` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_09_36_en_5.2.0_3.0_1700574437819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_09_36_en_5.2.0_3.0_1700574437819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_3e_05_all_16_02_2022_16_09_36|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_3e-05_all_16_02_2022-16_09_36
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_12_51_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_12_51_en.md
new file mode 100644
index 000000000000..1e18ffd95a28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_12_51_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_3e_05_all_16_02_2022_16_12_51 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_3e_05_all_16_02_2022_16_12_51
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_3e_05_all_16_02_2022_16_12_51` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_12_51_en_5.2.0_3.0_1700563577743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_12_51_en_5.2.0_3.0_1700563577743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_3e_05_all_16_02_2022_16_12_51|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_3e-05_all_16_02_2022-16_12_51
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_16_08_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_16_08_en.md
new file mode 100644
index 000000000000..7fda4c08ccf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_16_08_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_3e_05_all_16_02_2022_16_16_08 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_3e_05_all_16_02_2022_16_16_08
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_3e_05_all_16_02_2022_16_16_08` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_16_08_en_5.2.0_3.0_1700560215633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_16_08_en_5.2.0_3.0_1700560215633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_3e_05_all_16_02_2022_16_16_08|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_3e-05_all_16_02_2022-16_16_08
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_19_24_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_19_24_en.md
new file mode 100644
index 000000000000..d047155b906c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_19_24_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_3e_05_all_16_02_2022_16_19_24 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_3e_05_all_16_02_2022_16_19_24
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_3e_05_all_16_02_2022_16_19_24` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_19_24_en_5.2.0_3.0_1700561949278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_19_24_en_5.2.0_3.0_1700561949278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_3e_05_all_16_02_2022_16_19_24|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_3e-05_all_16_02_2022-16_19_24
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_22_39_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_22_39_en.md
new file mode 100644
index 000000000000..de356320f5ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_22_39_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_3e_05_all_16_02_2022_16_22_39 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_3e_05_all_16_02_2022_16_22_39
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_3e_05_all_16_02_2022_16_22_39` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_22_39_en_5.2.0_3.0_1700563577699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_22_39_en_5.2.0_3.0_1700563577699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_3e_05_all_16_02_2022_16_22_39|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_3e-05_all_16_02_2022-16_22_39
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_25_56_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_25_56_en.md
new file mode 100644
index 000000000000..c4c726db9b00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_25_56_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_3e_05_all_16_02_2022_16_25_56 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_3e_05_all_16_02_2022_16_25_56
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_3e_05_all_16_02_2022_16_25_56` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_25_56_en_5.2.0_3.0_1700567688477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_25_56_en_5.2.0_3.0_1700567688477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_3e_05_all_16_02_2022_16_25_56|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_3e-05_all_16_02_2022-16_25_56
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_29_13_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_29_13_en.md
new file mode 100644
index 000000000000..f32858d62160
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_3e_05_all_16_02_2022_16_29_13_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_3e_05_all_16_02_2022_16_29_13 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_3e_05_all_16_02_2022_16_29_13
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_3e_05_all_16_02_2022_16_29_13` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_29_13_en_5.2.0_3.0_1700556450824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_3e_05_all_16_02_2022_16_29_13_en_5.2.0_3.0_1700556450824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_3e_05_all_16_02_2022_16_29_13|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_3e-05_all_16_02_2022-16_29_13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_argumentative_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_argumentative_en.md
new file mode 100644
index 000000000000..29861de08be4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_argumentative_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_argumentative DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_argumentative
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_argumentative` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_argumentative_en_5.2.0_3.0_1700546571148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_argumentative_en_5.2.0_3.0_1700546571148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_argumentative|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned-token-argumentative
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_20_14_27_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_20_14_27_en.md
new file mode 100644
index 000000000000..c835b6898919
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_20_14_27_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_0_0002_all_16_02_2022_20_14_27 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_0_0002_all_16_02_2022_20_14_27
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_0_0002_all_16_02_2022_20_14_27` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_all_16_02_2022_20_14_27_en_5.2.0_3.0_1700562740771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_all_16_02_2022_20_14_27_en_5.2.0_3.0_1700562740771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_0_0002_all_16_02_2022_20_14_27|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_0.0002_all_16_02_2022-20_14_27
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_20_30_01_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_20_30_01_en.md
new file mode 100644
index 000000000000..204b84e137ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_20_30_01_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_0_0002_all_16_02_2022_20_30_01 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_0_0002_all_16_02_2022_20_30_01
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_0_0002_all_16_02_2022_20_30_01` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_all_16_02_2022_20_30_01_en_5.2.0_3.0_1700571720386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_all_16_02_2022_20_30_01_en_5.2.0_3.0_1700571720386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_0_0002_all_16_02_2022_20_30_01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_0.0002_all_16_02_2022-20_30_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_20_45_27_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_20_45_27_en.md
new file mode 100644
index 000000000000..e706ca9da5df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_20_45_27_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_0_0002_all_16_02_2022_20_45_27 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_0_0002_all_16_02_2022_20_45_27
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_0_0002_all_16_02_2022_20_45_27` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_all_16_02_2022_20_45_27_en_5.2.0_3.0_1700565525570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_all_16_02_2022_20_45_27_en_5.2.0_3.0_1700565525570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_0_0002_all_16_02_2022_20_45_27|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_0.0002_all_16_02_2022-20_45_27
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_21_13_10_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_21_13_10_en.md
new file mode 100644
index 000000000000..acf39f379718
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_all_16_02_2022_21_13_10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_0_0002_all_16_02_2022_21_13_10 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_0_0002_all_16_02_2022_21_13_10
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_0_0002_all_16_02_2022_21_13_10` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_all_16_02_2022_21_13_10_en_5.2.0_3.0_1700582668087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_all_16_02_2022_21_13_10_en_5.2.0_3.0_1700582668087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_0_0002_all_16_02_2022_21_13_10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_0.0002_all_16_02_2022-21_13_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_editorials_16_02_2022_21_07_38_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_editorials_16_02_2022_21_07_38_en.md
new file mode 100644
index 000000000000..6ab9337a1b05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_editorials_16_02_2022_21_07_38_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_0_0002_editorials_16_02_2022_21_07_38 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_0_0002_editorials_16_02_2022_21_07_38
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_0_0002_editorials_16_02_2022_21_07_38` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_editorials_16_02_2022_21_07_38_en_5.2.0_3.0_1700563654467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_editorials_16_02_2022_21_07_38_en_5.2.0_3.0_1700563654467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_0_0002_editorials_16_02_2022_21_07_38|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_0.0002_editorials_16_02_2022-21_07_38
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_essays_16_02_2022_21_04_02_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_essays_16_02_2022_21_04_02_en.md
new file mode 100644
index 000000000000..9fbf4b0094d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_essays_16_02_2022_21_04_02_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_0_0002_essays_16_02_2022_21_04_02 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_0_0002_essays_16_02_2022_21_04_02
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_0_0002_essays_16_02_2022_21_04_02` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_essays_16_02_2022_21_04_02_en_5.2.0_3.0_1700554017967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_essays_16_02_2022_21_04_02_en_5.2.0_3.0_1700554017967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_0_0002_essays_16_02_2022_21_04_02|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_0.0002_essays_16_02_2022-21_04_02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_webdiscourse_16_02_2022_21_00_50_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_webdiscourse_16_02_2022_21_00_50_en.md
new file mode 100644
index 000000000000..7e553cf6711c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_0_0002_webdiscourse_16_02_2022_21_00_50_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_0_0002_webdiscourse_16_02_2022_21_00_50 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_0_0002_webdiscourse_16_02_2022_21_00_50
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_0_0002_webdiscourse_16_02_2022_21_00_50` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_webdiscourse_16_02_2022_21_00_50_en_5.2.0_3.0_1700568882591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_0_0002_webdiscourse_16_02_2022_21_00_50_en_5.2.0_3.0_1700568882591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_0_0002_webdiscourse_16_02_2022_21_00_50|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_0.0002_webDiscourse_16_02_2022-21_00_50
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_20_09_36_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_20_09_36_en.md
new file mode 100644
index 000000000000..9193adee3e30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_20_09_36_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_2e_05_all_16_02_2022_20_09_36 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_2e_05_all_16_02_2022_20_09_36
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_2e_05_all_16_02_2022_20_09_36` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_all_16_02_2022_20_09_36_en_5.2.0_3.0_1700554884936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_all_16_02_2022_20_09_36_en_5.2.0_3.0_1700554884936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_2e_05_all_16_02_2022_20_09_36|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_2e-05_all_16_02_2022-20_09_36
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_20_25_06_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_20_25_06_en.md
new file mode 100644
index 000000000000..d618b0f65f6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_20_25_06_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_2e_05_all_16_02_2022_20_25_06 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_2e_05_all_16_02_2022_20_25_06
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_2e_05_all_16_02_2022_20_25_06` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_all_16_02_2022_20_25_06_en_5.2.0_3.0_1700581682974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_all_16_02_2022_20_25_06_en_5.2.0_3.0_1700581682974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_2e_05_all_16_02_2022_20_25_06|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_2e-05_all_16_02_2022-20_25_06
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_20_40_28_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_20_40_28_en.md
new file mode 100644
index 000000000000..b8314ff630fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_20_40_28_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_2e_05_all_16_02_2022_20_40_28 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_2e_05_all_16_02_2022_20_40_28
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_2e_05_all_16_02_2022_20_40_28` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_all_16_02_2022_20_40_28_en_5.2.0_3.0_1700567094956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_all_16_02_2022_20_40_28_en_5.2.0_3.0_1700567094956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_2e_05_all_16_02_2022_20_40_28|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_2e-05_all_16_02_2022-20_40_28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_21_08_55_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_21_08_55_en.md
new file mode 100644
index 000000000000..6f4ab931d5a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_all_16_02_2022_21_08_55_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_2e_05_all_16_02_2022_21_08_55 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_2e_05_all_16_02_2022_21_08_55
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_2e_05_all_16_02_2022_21_08_55` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_all_16_02_2022_21_08_55_en_5.2.0_3.0_1700553047545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_all_16_02_2022_21_08_55_en_5.2.0_3.0_1700553047545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_2e_05_all_16_02_2022_21_08_55|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_2e-05_all_16_02_2022-21_08_55
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_editorials_16_02_2022_21_05_05_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_editorials_16_02_2022_21_05_05_en.md
new file mode 100644
index 000000000000..b8e96ec21048
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_editorials_16_02_2022_21_05_05_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_2e_05_editorials_16_02_2022_21_05_05 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_2e_05_editorials_16_02_2022_21_05_05
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_2e_05_editorials_16_02_2022_21_05_05` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_editorials_16_02_2022_21_05_05_en_5.2.0_3.0_1700550517651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_editorials_16_02_2022_21_05_05_en_5.2.0_3.0_1700550517651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_2e_05_editorials_16_02_2022_21_05_05|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_2e-05_editorials_16_02_2022-21_05_05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_essays_16_02_2022_21_01_51_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_essays_16_02_2022_21_01_51_en.md
new file mode 100644
index 000000000000..c6deb96cb8cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_essays_16_02_2022_21_01_51_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_2e_05_essays_16_02_2022_21_01_51 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_2e_05_essays_16_02_2022_21_01_51
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_2e_05_essays_16_02_2022_21_01_51` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_essays_16_02_2022_21_01_51_en_5.2.0_3.0_1700571721382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_essays_16_02_2022_21_01_51_en_5.2.0_3.0_1700571721382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_2e_05_essays_16_02_2022_21_01_51|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_2e-05_essays_16_02_2022-21_01_51
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_webdiscourse_16_02_2022_20_58_45_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_webdiscourse_16_02_2022_20_58_45_en.md
new file mode 100644
index 000000000000..02f19e918f8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_2e_05_webdiscourse_16_02_2022_20_58_45_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_2e_05_webdiscourse_16_02_2022_20_58_45 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_2e_05_webdiscourse_16_02_2022_20_58_45
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_2e_05_webdiscourse_16_02_2022_20_58_45` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_webdiscourse_16_02_2022_20_58_45_en_5.2.0_3.0_1700572576278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_2e_05_webdiscourse_16_02_2022_20_58_45_en_5.2.0_3.0_1700572576278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_2e_05_webdiscourse_16_02_2022_20_58_45|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_2e-05_webDiscourse_16_02_2022-20_58_45
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_20_12_04_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_20_12_04_en.md
new file mode 100644
index 000000000000..4bec6ada8be7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_20_12_04_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_3e_05_all_16_02_2022_20_12_04 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_3e_05_all_16_02_2022_20_12_04
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_3e_05_all_16_02_2022_20_12_04` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_all_16_02_2022_20_12_04_en_5.2.0_3.0_1700566233738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_all_16_02_2022_20_12_04_en_5.2.0_3.0_1700566233738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_3e_05_all_16_02_2022_20_12_04|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_3e-05_all_16_02_2022-20_12_04
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_20_27_36_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_20_27_36_en.md
new file mode 100644
index 000000000000..7081b3ca89c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_20_27_36_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_3e_05_all_16_02_2022_20_27_36 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_3e_05_all_16_02_2022_20_27_36
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_3e_05_all_16_02_2022_20_27_36` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_all_16_02_2022_20_27_36_en_5.2.0_3.0_1700561871114.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_all_16_02_2022_20_27_36_en_5.2.0_3.0_1700561871114.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_3e_05_all_16_02_2022_20_27_36|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_3e-05_all_16_02_2022-20_27_36
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_20_43_00_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_20_43_00_en.md
new file mode 100644
index 000000000000..311c77e64fe2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_20_43_00_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_3e_05_all_16_02_2022_20_43_00 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_3e_05_all_16_02_2022_20_43_00
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_3e_05_all_16_02_2022_20_43_00` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_all_16_02_2022_20_43_00_en_5.2.0_3.0_1700561966411.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_all_16_02_2022_20_43_00_en_5.2.0_3.0_1700561966411.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_3e_05_all_16_02_2022_20_43_00|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_3e-05_all_16_02_2022-20_43_00
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_21_11_08_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_21_11_08_en.md
new file mode 100644
index 000000000000..4f6c59a04f8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_all_16_02_2022_21_11_08_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_3e_05_all_16_02_2022_21_11_08 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_3e_05_all_16_02_2022_21_11_08
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_3e_05_all_16_02_2022_21_11_08` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_all_16_02_2022_21_11_08_en_5.2.0_3.0_1700557577237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_all_16_02_2022_21_11_08_en_5.2.0_3.0_1700557577237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_3e_05_all_16_02_2022_21_11_08|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_3e-05_all_16_02_2022-21_11_08
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_editorials_16_02_2022_21_06_22_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_editorials_16_02_2022_21_06_22_en.md
new file mode 100644
index 000000000000..4761fc8f0a3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_editorials_16_02_2022_21_06_22_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_3e_05_editorials_16_02_2022_21_06_22 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_3e_05_editorials_16_02_2022_21_06_22
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_3e_05_editorials_16_02_2022_21_06_22` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_editorials_16_02_2022_21_06_22_en_5.2.0_3.0_1700557577223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_editorials_16_02_2022_21_06_22_en_5.2.0_3.0_1700557577223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_3e_05_editorials_16_02_2022_21_06_22|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_3e-05_editorials_16_02_2022-21_06_22
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_essays_16_02_2022_21_02_59_en.md b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_essays_16_02_2022_21_02_59_en.md
new file mode 100644
index 000000000000..1f5829a1f0a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-finetuned_token_itr0_3e_05_essays_16_02_2022_21_02_59_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_token_itr0_3e_05_essays_16_02_2022_21_02_59 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_itr0_3e_05_essays_16_02_2022_21_02_59
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_token_itr0_3e_05_essays_16_02_2022_21_02_59` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_essays_16_02_2022_21_02_59_en_5.2.0_3.0_1700549562095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_itr0_3e_05_essays_16_02_2022_21_02_59_en_5.2.0_3.0_1700549562095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_itr0_3e_05_essays_16_02_2022_21_02_59|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_itr0_3e-05_essays_16_02_2022-21_02_59
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-furniture_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-furniture_ner_en.md
new file mode 100644
index 000000000000..15225fa0bf00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-furniture_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English furniture_ner DistilBertForTokenClassification from apnd
+author: John Snow Labs
+name: furniture_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furniture_ner` is a English model originally trained by apnd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furniture_ner_en_5.2.0_3.0_1700527817576.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furniture_ner_en_5.2.0_3.0_1700527817576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furniture_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/apnd/furniture-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-hindi_distilbert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-hindi_distilbert_ner_en.md
new file mode 100644
index 000000000000..729b2a17d6ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-hindi_distilbert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hindi_distilbert_ner DistilBertForTokenClassification from mirfan899
+author: John Snow Labs
+name: hindi_distilbert_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hindi_distilbert_ner` is a English model originally trained by mirfan899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_distilbert_ner_en_5.2.0_3.0_1700550800164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_distilbert_ner_en_5.2.0_3.0_1700550800164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_distilbert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/mirfan899/hindi-distilbert-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-hl7_fhir_model_v1_en.md b/docs/_posts/ahmedlone127/2023-11-21-hl7_fhir_model_v1_en.md
new file mode 100644
index 000000000000..2a4c568ab683
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-hl7_fhir_model_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hl7_fhir_model_v1 DistilBertForTokenClassification from SandeepKanao
+author: John Snow Labs
+name: hl7_fhir_model_v1
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hl7_fhir_model_v1` is a English model originally trained by SandeepKanao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hl7_fhir_model_v1_en_5.2.0_3.0_1700567188438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hl7_fhir_model_v1_en_5.2.0_3.0_1700567188438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hl7_fhir_model_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.5 MB|
+
+## References
+
+https://huggingface.co/SandeepKanao/HL7-FHIR-Model-V1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-hw1_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-21-hw1_distilbert_base_uncased_en.md
new file mode 100644
index 000000000000..1ee4c4b45d6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-hw1_distilbert_base_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hw1_distilbert_base_uncased DistilBertForTokenClassification from KudriashovSS
+author: John Snow Labs
+name: hw1_distilbert_base_uncased
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw1_distilbert_base_uncased` is a English model originally trained by KudriashovSS.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw1_distilbert_base_uncased_en_5.2.0_3.0_1700579901279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw1_distilbert_base_uncased_en_5.2.0_3.0_1700579901279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw1_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/KudriashovSS/HW1_distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-indic_transformers_telugu_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-21-indic_transformers_telugu_distilbert_en.md
new file mode 100644
index 000000000000..f7acea94bcdb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-indic_transformers_telugu_distilbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English indic_transformers_telugu_distilbert DistilBertForTokenClassification from durgaamma2005
+author: John Snow Labs
+name: indic_transformers_telugu_distilbert
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indic_transformers_telugu_distilbert` is a English model originally trained by durgaamma2005.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indic_transformers_telugu_distilbert_en_5.2.0_3.0_1700541810759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indic_transformers_telugu_distilbert_en_5.2.0_3.0_1700541810759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indic_transformers_telugu_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|249.1 MB|
+
+## References
+
+https://huggingface.co/durgaamma2005/indic-transformers-te-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-initial_dq_model_en.md b/docs/_posts/ahmedlone127/2023-11-21-initial_dq_model_en.md
new file mode 100644
index 000000000000..fd4d026e0f18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-initial_dq_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English initial_dq_model DistilBertForTokenClassification from lucafrost
+author: John Snow Labs
+name: initial_dq_model
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`initial_dq_model` is a English model originally trained by lucafrost.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/initial_dq_model_en_5.2.0_3.0_1700568906348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/initial_dq_model_en_5.2.0_3.0_1700568906348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|initial_dq_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/lucafrost/initial-dq-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-ma_ner_v6_distil_en.md b/docs/_posts/ahmedlone127/2023-11-21-ma_ner_v6_distil_en.md
new file mode 100644
index 000000000000..7eb0c5a68c14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-ma_ner_v6_distil_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ma_ner_v6_distil DistilBertForTokenClassification from CouchCat
+author: John Snow Labs
+name: ma_ner_v6_distil
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ma_ner_v6_distil` is a English model originally trained by CouchCat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ma_ner_v6_distil_en_5.2.0_3.0_1700569802239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ma_ner_v6_distil_en_5.2.0_3.0_1700569802239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ma_ner_v6_distil|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/CouchCat/ma_ner_v6_distil
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-med_qa_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-med_qa_ner_en.md
new file mode 100644
index 000000000000..d0d353a2054a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-med_qa_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English med_qa_ner DistilBertForTokenClassification from GEDISA
+author: John Snow Labs
+name: med_qa_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`med_qa_ner` is a English model originally trained by GEDISA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/med_qa_ner_en_5.2.0_3.0_1700589475452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/med_qa_ner_en_5.2.0_3.0_1700589475452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mongolian_distilbert_base_multilingual_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/Dakie/mongolian-distilbert-base-multilingual-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-moviehunt3_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-moviehunt3_ner_en.md
new file mode 100644
index 000000000000..316b9f32f8b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-moviehunt3_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English moviehunt3_ner DistilBertForTokenClassification from AbidHasan95
+author: John Snow Labs
+name: moviehunt3_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`moviehunt3_ner` is a English model originally trained by AbidHasan95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/moviehunt3_ner_en_5.2.0_3.0_1700564853561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/moviehunt3_ner_en_5.2.0_3.0_1700564853561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|moviehunt3_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/AbidHasan95/movieHunt3-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-moviehunt4_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-moviehunt4_ner_en.md
new file mode 100644
index 000000000000..d86d1050fe2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-moviehunt4_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English moviehunt4_ner DistilBertForTokenClassification from AbidHasan95
+author: John Snow Labs
+name: moviehunt4_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`moviehunt4_ner` is a English model originally trained by AbidHasan95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/moviehunt4_ner_en_5.2.0_3.0_1700530787898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/moviehunt4_ner_en_5.2.0_3.0_1700530787898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|moviehunt4_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/AbidHasan95/movieHunt4-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-ner_distilbert_base_uncased_ontonotesv5_englishv4_en.md b/docs/_posts/ahmedlone127/2023-11-21-ner_distilbert_base_uncased_ontonotesv5_englishv4_en.md
new file mode 100644
index 000000000000..5587d1a49fa7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-ner_distilbert_base_uncased_ontonotesv5_englishv4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_distilbert_base_uncased_ontonotesv5_englishv4 DistilBertForTokenClassification from djagatiya
+author: John Snow Labs
+name: ner_distilbert_base_uncased_ontonotesv5_englishv4
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_distilbert_base_uncased_ontonotesv5_englishv4` is a English model originally trained by djagatiya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_distilbert_base_uncased_ontonotesv5_englishv4_en_5.2.0_3.0_1700530377026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_distilbert_base_uncased_ontonotesv5_englishv4_en_5.2.0_3.0_1700530377026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_distilbert_base_uncased_ontonotesv5_englishv4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/djagatiya/ner-distilbert-base-uncased-ontonotesv5-englishv4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-ner_distilbert_base_uncased_wnut_17_en.md b/docs/_posts/ahmedlone127/2023-11-21-ner_distilbert_base_uncased_wnut_17_en.md
new file mode 100644
index 000000000000..84ba875f3ca8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-ner_distilbert_base_uncased_wnut_17_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_distilbert_base_uncased_wnut_17 DistilBertForTokenClassification from Waleed-bin-Qamar
+author: John Snow Labs
+name: ner_distilbert_base_uncased_wnut_17
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_distilbert_base_uncased_wnut_17` is a English model originally trained by Waleed-bin-Qamar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_distilbert_base_uncased_wnut_17_en_5.2.0_3.0_1700556616573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_distilbert_base_uncased_wnut_17_en_5.2.0_3.0_1700556616573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_distilbert_base_uncased_wnut_17|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Waleed-bin-Qamar/NER-distilbert-base-uncased-wnut_17
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-nlp_hiba2_distemist_fine_tuned_distilbert_pretrained_model_en.md b/docs/_posts/ahmedlone127/2023-11-21-nlp_hiba2_distemist_fine_tuned_distilbert_pretrained_model_en.md
new file mode 100644
index 000000000000..21017f67aa5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-nlp_hiba2_distemist_fine_tuned_distilbert_pretrained_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nlp_hiba2_distemist_fine_tuned_distilbert_pretrained_model DistilBertForTokenClassification from GuCuChiara
+author: John Snow Labs
+name: nlp_hiba2_distemist_fine_tuned_distilbert_pretrained_model
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_hiba2_distemist_fine_tuned_distilbert_pretrained_model` is a English model originally trained by GuCuChiara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_hiba2_distemist_fine_tuned_distilbert_pretrained_model_en_5.2.0_3.0_1700526010632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_hiba2_distemist_fine_tuned_distilbert_pretrained_model_en_5.2.0_3.0_1700526010632.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_hiba2_distemist_fine_tuned_distilbert_pretrained_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/GuCuChiara/NLP-HIBA2_DisTEMIST_fine_tuned_DistilBERT-pretrained-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-old_church_slavonic_sayula_popoluca_en.md b/docs/_posts/ahmedlone127/2023-11-21-old_church_slavonic_sayula_popoluca_en.md
new file mode 100644
index 000000000000..8ccd6b30dd1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-old_church_slavonic_sayula_popoluca_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English old_church_slavonic_sayula_popoluca DistilBertForTokenClassification from annadmitrieva
+author: John Snow Labs
+name: old_church_slavonic_sayula_popoluca
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`old_church_slavonic_sayula_popoluca` is a English model originally trained by annadmitrieva.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/old_church_slavonic_sayula_popoluca_en_5.2.0_3.0_1700537620236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/old_church_slavonic_sayula_popoluca_en_5.2.0_3.0_1700537620236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|old_church_slavonic_sayula_popoluca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/annadmitrieva/old-church-slavonic-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-products_ner2_en.md b/docs/_posts/ahmedlone127/2023-11-21-products_ner2_en.md
new file mode 100644
index 000000000000..11422fc2add2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-products_ner2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English products_ner2 DistilBertForTokenClassification from Atheer174
+author: John Snow Labs
+name: products_ner2
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`products_ner2` is a English model originally trained by Atheer174.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/products_ner2_en_5.2.0_3.0_1700569802668.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/products_ner2_en_5.2.0_3.0_1700569802668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|products_ner2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Atheer174/Products_NER2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-rg_20k_fake_signatures_en.md b/docs/_posts/ahmedlone127/2023-11-21-rg_20k_fake_signatures_en.md
new file mode 100644
index 000000000000..0415a176e55b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-rg_20k_fake_signatures_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rg_20k_fake_signatures DistilBertForTokenClassification from chilliadgl
+author: John Snow Labs
+name: rg_20k_fake_signatures
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rg_20k_fake_signatures` is a English model originally trained by chilliadgl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rg_20k_fake_signatures_en_5.2.0_3.0_1700584529402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rg_20k_fake_signatures_en_5.2.0_3.0_1700584529402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rg_20k_fake_signatures|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/chilliadgl/RG_20k_fake_signatures
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-rg_fake_signatures_en.md b/docs/_posts/ahmedlone127/2023-11-21-rg_fake_signatures_en.md
new file mode 100644
index 000000000000..97005e45c57d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-rg_fake_signatures_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rg_fake_signatures DistilBertForTokenClassification from chilliadgl
+author: John Snow Labs
+name: rg_fake_signatures
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rg_fake_signatures` is a English model originally trained by chilliadgl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rg_fake_signatures_en_5.2.0_3.0_1700562855971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rg_fake_signatures_en_5.2.0_3.0_1700562855971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rg_fake_signatures|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/chilliadgl/RG_fake_signatures
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-tab_anonymizer_en.md b/docs/_posts/ahmedlone127/2023-11-21-tab_anonymizer_en.md
new file mode 100644
index 000000000000..f36d021223ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-tab_anonymizer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tab_anonymizer DistilBertForTokenClassification from madaanpulkit
+author: John Snow Labs
+name: tab_anonymizer
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tab_anonymizer` is a English model originally trained by madaanpulkit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tab_anonymizer_en_5.2.0_3.0_1700555765348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tab_anonymizer_en_5.2.0_3.0_1700555765348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tab_anonymizer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/madaanpulkit/tab-anonymizer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-tabert_4k_naamapadam_en.md b/docs/_posts/ahmedlone127/2023-11-21-tabert_4k_naamapadam_en.md
new file mode 100644
index 000000000000..a34c47dfbfbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-tabert_4k_naamapadam_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tabert_4k_naamapadam DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: tabert_4k_naamapadam
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tabert_4k_naamapadam` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tabert_4k_naamapadam_en_5.2.0_3.0_1700568733212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tabert_4k_naamapadam_en_5.2.0_3.0_1700568733212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tabert_4k_naamapadam|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|172.5 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/tabert-4k-naamapadam
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-tabert_500_naamapadam_en.md b/docs/_posts/ahmedlone127/2023-11-21-tabert_500_naamapadam_en.md
new file mode 100644
index 000000000000..cf20683ad026
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-tabert_500_naamapadam_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tabert_500_naamapadam DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: tabert_500_naamapadam
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tabert_500_naamapadam` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tabert_500_naamapadam_en_5.2.0_3.0_1700580816218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tabert_500_naamapadam_en_5.2.0_3.0_1700580816218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tabert_500_naamapadam|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|162.4 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/tabert-500-naamapadam
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-tokenclassificationtest_en.md b/docs/_posts/ahmedlone127/2023-11-21-tokenclassificationtest_en.md
new file mode 100644
index 000000000000..09fce60a9a92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-tokenclassificationtest_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tokenclassificationtest DistilBertForTokenClassification from adzcodez
+author: John Snow Labs
+name: tokenclassificationtest
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tokenclassificationtest` is a English model originally trained by adzcodez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tokenclassificationtest_en_5.2.0_3.0_1700537694247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tokenclassificationtest_en_5.2.0_3.0_1700537694247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tokenclassificationtest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/adzcodez/TokenClassificationTest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-tori_namesplitter_en.md b/docs/_posts/ahmedlone127/2023-11-21-tori_namesplitter_en.md
new file mode 100644
index 000000000000..59c3302380c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-tori_namesplitter_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tori_namesplitter DistilBertForTokenClassification from ittailup
+author: John Snow Labs
+name: tori_namesplitter
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tori_namesplitter` is a English model originally trained by ittailup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tori_namesplitter_en_5.2.0_3.0_1700532912550.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tori_namesplitter_en_5.2.0_3.0_1700532912550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tori_namesplitter|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ittailup/tori-namesplitter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-twitter_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-twitter_ner_en.md
new file mode 100644
index 000000000000..e368160b5253
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-twitter_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English twitter_ner DistilBertForTokenClassification from dayvidwang
+author: John Snow Labs
+name: twitter_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_ner` is a English model originally trained by dayvidwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_ner_en_5.2.0_3.0_1700576383014.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_ner_en_5.2.0_3.0_1700576383014.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/dayvidwang/twitter_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_all_01_03_2022_14_37_35_en.md b/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_all_01_03_2022_14_37_35_en.md
new file mode 100644
index 000000000000..555c6c089ccd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_all_01_03_2022_14_37_35_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English twitter_roberta_token_itr0_1e_05_all_01_03_2022_14_37_35 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: twitter_roberta_token_itr0_1e_05_all_01_03_2022_14_37_35
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_token_itr0_1e_05_all_01_03_2022_14_37_35` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_token_itr0_1e_05_all_01_03_2022_14_37_35_en_5.2.0_3.0_1700583446750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_token_itr0_1e_05_all_01_03_2022_14_37_35_en_5.2.0_3.0_1700583446750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_token_itr0_1e_05_all_01_03_2022_14_37_35|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/twitter_RoBERTa_token_itr0_1e-05_all_01_03_2022-14_37_35
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_editorials_01_03_2022_14_43_21_en.md b/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_editorials_01_03_2022_14_43_21_en.md
new file mode 100644
index 000000000000..592721986bdd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_editorials_01_03_2022_14_43_21_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English twitter_roberta_token_itr0_1e_05_editorials_01_03_2022_14_43_21 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: twitter_roberta_token_itr0_1e_05_editorials_01_03_2022_14_43_21
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_token_itr0_1e_05_editorials_01_03_2022_14_43_21` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_token_itr0_1e_05_editorials_01_03_2022_14_43_21_en_5.2.0_3.0_1700562855876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_token_itr0_1e_05_editorials_01_03_2022_14_43_21_en_5.2.0_3.0_1700562855876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_token_itr0_1e_05_editorials_01_03_2022_14_43_21|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/twitter_RoBERTa_token_itr0_1e-05_editorials_01_03_2022-14_43_21
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_essays_01_03_2022_14_40_24_en.md b/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_essays_01_03_2022_14_40_24_en.md
new file mode 100644
index 000000000000..dfe13cf7fbfc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_essays_01_03_2022_14_40_24_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English twitter_roberta_token_itr0_1e_05_essays_01_03_2022_14_40_24 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: twitter_roberta_token_itr0_1e_05_essays_01_03_2022_14_40_24
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_token_itr0_1e_05_essays_01_03_2022_14_40_24` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_token_itr0_1e_05_essays_01_03_2022_14_40_24_en_5.2.0_3.0_1700584443413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_token_itr0_1e_05_essays_01_03_2022_14_40_24_en_5.2.0_3.0_1700584443413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_token_itr0_1e_05_essays_01_03_2022_14_40_24|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/twitter_RoBERTa_token_itr0_1e-05_essays_01_03_2022-14_40_24
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_webdiscourse_01_03_2022_14_45_20_en.md b/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_webdiscourse_01_03_2022_14_45_20_en.md
new file mode 100644
index 000000000000..d34e82983d29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-twitter_roberta_token_itr0_1e_05_webdiscourse_01_03_2022_14_45_20_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English twitter_roberta_token_itr0_1e_05_webdiscourse_01_03_2022_14_45_20 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: twitter_roberta_token_itr0_1e_05_webdiscourse_01_03_2022_14_45_20
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_token_itr0_1e_05_webdiscourse_01_03_2022_14_45_20` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_token_itr0_1e_05_webdiscourse_01_03_2022_14_45_20_en_5.2.0_3.0_1700552215202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_token_itr0_1e_05_webdiscourse_01_03_2022_14_45_20_en_5.2.0_3.0_1700552215202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_token_itr0_1e_05_webdiscourse_01_03_2022_14_45_20|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ali2066/twitter_RoBERTa_token_itr0_1e-05_webDiscourse_01_03_2022-14_45_20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-urdu_distilbert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-urdu_distilbert_ner_en.md
new file mode 100644
index 000000000000..424b00cb477b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-urdu_distilbert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English urdu_distilbert_ner DistilBertForTokenClassification from mirfan899
+author: John Snow Labs
+name: urdu_distilbert_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`urdu_distilbert_ner` is a English model originally trained by mirfan899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/urdu_distilbert_ner_en_5.2.0_3.0_1700532003420.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/urdu_distilbert_ner_en_5.2.0_3.0_1700532003420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|week5_distilbert_base_multilingual_cased_finetuned_eng|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/ensw/week5-distilbert-base-multilingual-cased-finetuned-eng
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-whispquote_chunkeddq_en.md b/docs/_posts/ahmedlone127/2023-11-21-whispquote_chunkeddq_en.md
new file mode 100644
index 000000000000..6f1e54c0f5dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-whispquote_chunkeddq_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English whispquote_chunkeddq DistilBertForTokenClassification from lucafrost
+author: John Snow Labs
+name: whispquote_chunkeddq
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whispquote_chunkeddq` is a English model originally trained by lucafrost.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whispquote_chunkeddq_en_5.2.0_3.0_1700588823416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whispquote_chunkeddq_en_5.2.0_3.0_1700588823416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whispquote_chunkeddq|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/lucafrost/whispQuote-ChunkedDQ
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-21-wiki_hungarian_ner_en.md b/docs/_posts/ahmedlone127/2023-11-21-wiki_hungarian_ner_en.md
new file mode 100644
index 000000000000..c296a308bc21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-21-wiki_hungarian_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English wiki_hungarian_ner DistilBertForTokenClassification from terhdavid
+author: John Snow Labs
+name: wiki_hungarian_ner
+date: 2023-11-21
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wiki_hungarian_ner` is a English model originally trained by terhdavid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wiki_hungarian_ner_en_5.2.0_3.0_1700551217273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wiki_hungarian_ner_en_5.2.0_3.0_1700551217273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wiki_hungarian_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/terhdavid/wiki_hu_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-230615_wnut_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-230615_wnut_model_en.md
new file mode 100644
index 000000000000..f9087dd5e274
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-230615_wnut_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English 230615_wnut_model DistilBertForTokenClassification from Sogangina
+author: John Snow Labs
+name: 230615_wnut_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`230615_wnut_model` is a English model originally trained by Sogangina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/230615_wnut_model_en_5.2.0_3.0_1700638908062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/230615_wnut_model_en_5.2.0_3.0_1700638908062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|230615_wnut_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Sogangina/230615_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-affilgood_ner_test_en.md b/docs/_posts/ahmedlone127/2023-11-22-affilgood_ner_test_en.md
new file mode 100644
index 000000000000..b8c7a4b14a72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-affilgood_ner_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English affilgood_ner_test DistilBertForTokenClassification from nicolauduran45
+author: John Snow Labs
+name: affilgood_ner_test
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`affilgood_ner_test` is a English model originally trained by nicolauduran45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/affilgood_ner_test_en_5.2.0_3.0_1700671301510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/affilgood_ner_test_en_5.2.0_3.0_1700671301510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|affilgood_ner_test|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/nicolauduran45/affilgood-ner-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-autotrain_ner2_50086120238_en.md b/docs/_posts/ahmedlone127/2023-11-22-autotrain_ner2_50086120238_en.md
new file mode 100644
index 000000000000..6370e8cb2fec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-autotrain_ner2_50086120238_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English autotrain_ner2_50086120238 DistilBertForTokenClassification from onevholy
+author: John Snow Labs
+name: autotrain_ner2_50086120238
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_ner2_50086120238` is a English model originally trained by onevholy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_ner2_50086120238_en_5.2.0_3.0_1700630396002.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_ner2_50086120238_en_5.2.0_3.0_1700630396002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_ner2_50086120238|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/onevholy/autotrain-ner2-50086120238
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-autotrain_test_ner_75401139975_en.md b/docs/_posts/ahmedlone127/2023-11-22-autotrain_test_ner_75401139975_en.md
new file mode 100644
index 000000000000..f6c76863e849
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-autotrain_test_ner_75401139975_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English autotrain_test_ner_75401139975 DistilBertForTokenClassification from sophy
+author: John Snow Labs
+name: autotrain_test_ner_75401139975
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_test_ner_75401139975` is a English model originally trained by sophy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_test_ner_75401139975_en_5.2.0_3.0_1700650578059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_test_ner_75401139975_en_5.2.0_3.0_1700650578059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_test_ner_75401139975|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sophy/autotrain-test-ner-75401139975
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_2_en.md b/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_2_en.md
new file mode 100644
index 000000000000..21ff455e506e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_2 DistilBertForTokenClassification from Jsevisal
+author: John Snow Labs
+name: balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_2` is a English model originally trained by Jsevisal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_2_en_5.2.0_3.0_1700622115914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_2_en_5.2.0_3.0_1700622115914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.9 MB|
+
+## References
+
+https://huggingface.co/Jsevisal/balanced-augmented-distilbert-base-gest-pred-seqeval-partialmatch-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_en.md b/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_en.md
new file mode 100644
index 000000000000..3e0be8012958
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch DistilBertForTokenClassification from Jsevisal
+author: John Snow Labs
+name: balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch` is a English model originally trained by Jsevisal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_en_5.2.0_3.0_1700623391602.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch_en_5.2.0_3.0_1700623391602.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|balanced_augmented_distilbert_base_gest_pred_seqeval_partialmatch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.9 MB|
+
+## References
+
+https://huggingface.co/Jsevisal/balanced-augmented-distilbert-base-gest-pred-seqeval-partialmatch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_2_en.md b/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_2_en.md
new file mode 100644
index 000000000000..7787ddb973d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_2 DistilBertForTokenClassification from Jsevisal
+author: John Snow Labs
+name: balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_2` is a English model originally trained by Jsevisal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_2_en_5.2.0_3.0_1700620117873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_2_en_5.2.0_3.0_1700620117873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.9 MB|
+
+## References
+
+https://huggingface.co/Jsevisal/balanced-augmented-ft-distilbert-gest-pred-seqeval-partialmatch-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_en.md b/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_en.md
new file mode 100644
index 000000000000..2c64ec2ca26b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch DistilBertForTokenClassification from Jsevisal
+author: John Snow Labs
+name: balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch` is a English model originally trained by Jsevisal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_en_5.2.0_3.0_1700620404065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch_en_5.2.0_3.0_1700620404065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|balanced_augmented_ft_distilbert_gest_pred_seqeval_partialmatch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.9 MB|
+
+## References
+
+https://huggingface.co/Jsevisal/balanced-augmented-ft-distilbert-gest-pred-seqeval-partialmatch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-basic_wnut_en.md b/docs/_posts/ahmedlone127/2023-11-22-basic_wnut_en.md
new file mode 100644
index 000000000000..948a8c2e9194
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-basic_wnut_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English basic_wnut DistilBertForTokenClassification from eren23
+author: John Snow Labs
+name: basic_wnut
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`basic_wnut` is a English model originally trained by eren23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/basic_wnut_en_5.2.0_3.0_1700681182283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/basic_wnut_en_5.2.0_3.0_1700681182283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|basic_wnut|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/eren23/basic_wnut
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_dayvidwang_en.md b/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_dayvidwang_en.md
new file mode 100644
index 000000000000..e954ec38b7d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_dayvidwang_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_dayvidwang DistilBertForTokenClassification from dayvidwang
+author: John Snow Labs
+name: bert_finetuned_ner_dayvidwang
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_dayvidwang` is a English model originally trained by dayvidwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_dayvidwang_en_5.2.0_3.0_1700623394472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_dayvidwang_en_5.2.0_3.0_1700623394472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_dayvidwang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/dayvidwang/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_ibrahimcse_en.md b/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_ibrahimcse_en.md
new file mode 100644
index 000000000000..7e1ad4ed24c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_ibrahimcse_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_ibrahimcse DistilBertForTokenClassification from ibrahimcse
+author: John Snow Labs
+name: bert_finetuned_ner_ibrahimcse
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_ibrahimcse` is a English model originally trained by ibrahimcse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_ibrahimcse_en_5.2.0_3.0_1700621277697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_ibrahimcse_en_5.2.0_3.0_1700621277697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_ibrahimcse|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ibrahimcse/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_jhdavis_en.md b/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_jhdavis_en.md
new file mode 100644
index 000000000000..d1d3b7509d26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_jhdavis_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_jhdavis DistilBertForTokenClassification from jhdavis
+author: John Snow Labs
+name: bert_finetuned_ner_jhdavis
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_jhdavis` is a English model originally trained by jhdavis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jhdavis_en_5.2.0_3.0_1700628649196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_jhdavis_en_5.2.0_3.0_1700628649196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_jhdavis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/jhdavis/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_serah3_en.md b/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_serah3_en.md
new file mode 100644
index 000000000000..585f8916f224
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_ner_serah3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_ner_serah3 DistilBertForTokenClassification from Serah3
+author: John Snow Labs
+name: bert_finetuned_ner_serah3
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_serah3` is a English model originally trained by Serah3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_serah3_en_5.2.0_3.0_1700621128546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_serah3_en_5.2.0_3.0_1700621128546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_serah3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Serah3/bert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_radarr_en.md b/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_radarr_en.md
new file mode 100644
index 000000000000..60d540e844ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-bert_finetuned_radarr_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_finetuned_radarr DistilBertForTokenClassification from Servarr
+author: John Snow Labs
+name: bert_finetuned_radarr
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_radarr` is a English model originally trained by Servarr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_radarr_en_5.2.0_3.0_1700620409839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_radarr_en_5.2.0_3.0_1700620409839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_multilingual_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/Giorgib/bert_multilingual_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-bert_warmup_en.md b/docs/_posts/ahmedlone127/2023-11-22-bert_warmup_en.md
new file mode 100644
index 000000000000..6f85f2ac387a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-bert_warmup_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English bert_warmup DistilBertForTokenClassification from mohsenfayyaz
+author: John Snow Labs
+name: bert_warmup
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_warmup` is a English model originally trained by mohsenfayyaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_warmup_en_5.2.0_3.0_1700622639444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_warmup_en_5.2.0_3.0_1700622639444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_warmup|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mohsenfayyaz/BERT_Warmup
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-biomed_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-biomed_ner_en.md
new file mode 100644
index 000000000000..3bb8c4cd602f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-biomed_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomed_ner DistilBertForTokenClassification from Pkompally
+author: John Snow Labs
+name: biomed_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomed_ner` is a English model originally trained by Pkompally.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomed_ner_en_5.2.0_3.0_1700642877408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomed_ner_en_5.2.0_3.0_1700642877408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomed_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.5 MB|
+
+## References
+
+https://huggingface.co/Pkompally/biomed-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_2_en.md b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_2_en.md
new file mode 100644
index 000000000000..1ea7719b46d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical_ner_all_anonimization_try_2 DistilBertForTokenClassification from Juan281992
+author: John Snow Labs
+name: biomedical_ner_all_anonimization_try_2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedical_ner_all_anonimization_try_2` is a English model originally trained by Juan281992.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_2_en_5.2.0_3.0_1700664326651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_2_en_5.2.0_3.0_1700664326651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical_ner_all_anonimization_try_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Juan281992/biomedical-ner-all-anonimization_TRY_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_5_en.md b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_5_en.md
new file mode 100644
index 000000000000..3172c0815329
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_5_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical_ner_all_anonimization_try_5 DistilBertForTokenClassification from Juan281992
+author: John Snow Labs
+name: biomedical_ner_all_anonimization_try_5
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedical_ner_all_anonimization_try_5` is a English model originally trained by Juan281992.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_5_en_5.2.0_3.0_1700627640399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_5_en_5.2.0_3.0_1700627640399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical_ner_all_anonimization_try_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Juan281992/biomedical-ner-all-anonimization_TRY_5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_6_en.md b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_6_en.md
new file mode 100644
index 000000000000..a9d20f834733
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_6_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical_ner_all_anonimization_try_6 DistilBertForTokenClassification from Juan281992
+author: John Snow Labs
+name: biomedical_ner_all_anonimization_try_6
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedical_ner_all_anonimization_try_6` is a English model originally trained by Juan281992.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_6_en_5.2.0_3.0_1700634026957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_6_en_5.2.0_3.0_1700634026957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical_ner_all_anonimization_try_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Juan281992/biomedical-ner-all-anonimization_TRY_6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_7_en.md b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_7_en.md
new file mode 100644
index 000000000000..53c885c9bbe7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_7_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical_ner_all_anonimization_try_7 DistilBertForTokenClassification from Juan281992
+author: John Snow Labs
+name: biomedical_ner_all_anonimization_try_7
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedical_ner_all_anonimization_try_7` is a English model originally trained by Juan281992.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_7_en_5.2.0_3.0_1700648307682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_7_en_5.2.0_3.0_1700648307682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical_ner_all_anonimization_try_7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Juan281992/biomedical-ner-all-anonimization_TRY_7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_8_anonimization_try_9_en.md b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_8_anonimization_try_9_en.md
new file mode 100644
index 000000000000..90e574ae9adf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_8_anonimization_try_9_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical_ner_all_anonimization_try_8_anonimization_try_9 DistilBertForTokenClassification from Juan281992
+author: John Snow Labs
+name: biomedical_ner_all_anonimization_try_8_anonimization_try_9
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedical_ner_all_anonimization_try_8_anonimization_try_9` is a English model originally trained by Juan281992.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_8_anonimization_try_9_en_5.2.0_3.0_1700642091267.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_8_anonimization_try_9_en_5.2.0_3.0_1700642091267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical_ner_all_anonimization_try_8_anonimization_try_9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Juan281992/biomedical-ner-all-anonimization_TRY_8-anonimization_TRY_9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_8_en.md b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_8_en.md
new file mode 100644
index 000000000000..d4f22a08d2c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-biomedical_ner_all_anonimization_try_8_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English biomedical_ner_all_anonimization_try_8 DistilBertForTokenClassification from Juan281992
+author: John Snow Labs
+name: biomedical_ner_all_anonimization_try_8
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedical_ner_all_anonimization_try_8` is a English model originally trained by Juan281992.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_8_en_5.2.0_3.0_1700668542564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedical_ner_all_anonimization_try_8_en_5.2.0_3.0_1700668542564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedical_ner_all_anonimization_try_8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Juan281992/biomedical-ner-all-anonimization_TRY_8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_address_tokenizer_model_v7_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_address_tokenizer_model_v7_en.md
new file mode 100644
index 000000000000..2ad6e373ca64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_address_tokenizer_model_v7_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_address_tokenizer_model_v7 DistilBertForTokenClassification from bhattronak
+author: John Snow Labs
+name: burmese_awesome_address_tokenizer_model_v7
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_address_tokenizer_model_v7` is a English model originally trained by bhattronak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v7_en_5.2.0_3.0_1700648421765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_address_tokenizer_model_v7_en_5.2.0_3.0_1700648421765.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_address_tokenizer_model_v7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bhattronak/my-awesome-address-tokenizer-model-v7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_indonesian_nergrit_corpus_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_indonesian_nergrit_corpus_model_en.md
new file mode 100644
index 000000000000..c44069884b5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_indonesian_nergrit_corpus_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_indonesian_nergrit_corpus_model DistilBertForTokenClassification from nelsenputra
+author: John Snow Labs
+name: burmese_awesome_indonesian_nergrit_corpus_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_indonesian_nergrit_corpus_model` is a English model originally trained by nelsenputra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_indonesian_nergrit_corpus_model_en_5.2.0_3.0_1700619318579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_indonesian_nergrit_corpus_model_en_5.2.0_3.0_1700619318579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_indonesian_nergrit_corpus_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/nelsenputra/my_awesome_id_nergrit_corpus_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_ner_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_ner_model_en.md
new file mode 100644
index 000000000000..3739ab7b193e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_ner_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_ner_model DistilBertForTokenClassification from Tirendaz
+author: John Snow Labs
+name: burmese_awesome_ner_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_ner_model` is a English model originally trained by Tirendaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_ner_model_en_5.2.0_3.0_1700619459450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_ner_model_en_5.2.0_3.0_1700619459450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_ner_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Tirendaz/my_awesome_ner_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_pakner_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_pakner_model_en.md
new file mode 100644
index 000000000000..d963615390e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_pakner_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_pakner_model DistilBertForTokenClassification from Iftisyed
+author: John Snow Labs
+name: burmese_awesome_pakner_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_pakner_model` is a English model originally trained by Iftisyed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_pakner_model_en_5.2.0_3.0_1700677444075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_pakner_model_en_5.2.0_3.0_1700677444075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_pakner_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Iftisyed/my_awesome_pakner_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_reconstructor_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_reconstructor_model_en.md
new file mode 100644
index 000000000000..bd92db6dd55b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_reconstructor_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_reconstructor_model DistilBertForTokenClassification from abdulaziz1928
+author: John Snow Labs
+name: burmese_awesome_reconstructor_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_reconstructor_model` is a English model originally trained by abdulaziz1928.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_reconstructor_model_en_5.2.0_3.0_1700651765570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_reconstructor_model_en_5.2.0_3.0_1700651765570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_reconstructor_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/abdulaziz1928/my_awesome_reconstructor_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model2_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model2_en.md
new file mode 100644
index 000000000000..ccaf88ef17e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model2 DistilBertForTokenClassification from Atheer174
+author: John Snow Labs
+name: burmese_awesome_wnut_model2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model2` is a English model originally trained by Atheer174.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model2_en_5.2.0_3.0_1700677533067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model2_en_5.2.0_3.0_1700677533067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Atheer174/my_awesome_wnut_model2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model3_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model3_en.md
new file mode 100644
index 000000000000..427a341322f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model3 DistilBertForTokenClassification from Atheer174
+author: John Snow Labs
+name: burmese_awesome_wnut_model3
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model3` is a English model originally trained by Atheer174.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model3_en_5.2.0_3.0_1700665041438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model3_en_5.2.0_3.0_1700665041438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Atheer174/my_awesome_wnut_model3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_1_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_1_en.md
new file mode 100644
index 000000000000..2d577aca51d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_1 DistilBertForTokenClassification from agdsga
+author: John Snow Labs
+name: burmese_awesome_wnut_model_1
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_1` is a English model originally trained by agdsga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_1_en_5.2.0_3.0_1700680869364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_1_en_5.2.0_3.0_1700680869364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/agdsga/my_awesome_wnut_model_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_7dberry_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_7dberry_en.md
new file mode 100644
index 000000000000..aafcec94ea2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_7dberry_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_7dberry DistilBertForTokenClassification from 7Dberry
+author: John Snow Labs
+name: burmese_awesome_wnut_model_7dberry
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_7dberry` is a English model originally trained by 7Dberry.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_7dberry_en_5.2.0_3.0_1700633407300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_7dberry_en_5.2.0_3.0_1700633407300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_7dberry|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/7Dberry/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_alayaran_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_alayaran_en.md
new file mode 100644
index 000000000000..25ef268f071a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_alayaran_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_alayaran DistilBertForTokenClassification from alayaran
+author: John Snow Labs
+name: burmese_awesome_wnut_model_alayaran
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_alayaran` is a English model originally trained by alayaran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_alayaran_en_5.2.0_3.0_1700641179680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_alayaran_en_5.2.0_3.0_1700641179680.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_alayaran|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/alayaran/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_alexisdpc_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_alexisdpc_en.md
new file mode 100644
index 000000000000..535266dc6b41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_alexisdpc_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_alexisdpc DistilBertForTokenClassification from alexisdpc
+author: John Snow Labs
+name: burmese_awesome_wnut_model_alexisdpc
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_alexisdpc` is a English model originally trained by alexisdpc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_alexisdpc_en_5.2.0_3.0_1700672982734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_alexisdpc_en_5.2.0_3.0_1700672982734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_alexisdpc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/alexisdpc/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_alicenkbaytop_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_alicenkbaytop_en.md
new file mode 100644
index 000000000000..25b6be33cdcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_alicenkbaytop_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_alicenkbaytop DistilBertForTokenClassification from alicenkbaytop
+author: John Snow Labs
+name: burmese_awesome_wnut_model_alicenkbaytop
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_alicenkbaytop` is a English model originally trained by alicenkbaytop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_alicenkbaytop_en_5.2.0_3.0_1700656086944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_alicenkbaytop_en_5.2.0_3.0_1700656086944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_alicenkbaytop|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/alicenkbaytop/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_anandbhat_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_anandbhat_en.md
new file mode 100644
index 000000000000..1eca0637fbd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_anandbhat_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_anandbhat DistilBertForTokenClassification from AnandBhat
+author: John Snow Labs
+name: burmese_awesome_wnut_model_anandbhat
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_anandbhat` is a English model originally trained by AnandBhat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_anandbhat_en_5.2.0_3.0_1700625842248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_anandbhat_en_5.2.0_3.0_1700625842248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_anandbhat|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/AnandBhat/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_andyrasika_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_andyrasika_en.md
new file mode 100644
index 000000000000..9986a86eca5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_andyrasika_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_andyrasika DistilBertForTokenClassification from Andyrasika
+author: John Snow Labs
+name: burmese_awesome_wnut_model_andyrasika
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_andyrasika` is a English model originally trained by Andyrasika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_andyrasika_en_5.2.0_3.0_1700660238195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_andyrasika_en_5.2.0_3.0_1700660238195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_andyrasika|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Andyrasika/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_anyuanay_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_anyuanay_en.md
new file mode 100644
index 000000000000..ad433c3659af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_anyuanay_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_anyuanay DistilBertForTokenClassification from anyuanay
+author: John Snow Labs
+name: burmese_awesome_wnut_model_anyuanay
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_anyuanay` is a English model originally trained by anyuanay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_anyuanay_en_5.2.0_3.0_1700668541093.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_anyuanay_en_5.2.0_3.0_1700668541093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_anyuanay|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/anyuanay/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_atheer174_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_atheer174_en.md
new file mode 100644
index 000000000000..c91a8fb13d68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_atheer174_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_atheer174 DistilBertForTokenClassification from Atheer174
+author: John Snow Labs
+name: burmese_awesome_wnut_model_atheer174
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_atheer174` is a English model originally trained by Atheer174.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_atheer174_en_5.2.0_3.0_1700680434282.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_atheer174_en_5.2.0_3.0_1700680434282.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_atheer174|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Atheer174/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_blakemaster24_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_blakemaster24_en.md
new file mode 100644
index 000000000000..656733079790
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_blakemaster24_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_blakemaster24 DistilBertForTokenClassification from blakemaster24
+author: John Snow Labs
+name: burmese_awesome_wnut_model_blakemaster24
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_blakemaster24` is a English model originally trained by blakemaster24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_blakemaster24_en_5.2.0_3.0_1700682010372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_blakemaster24_en_5.2.0_3.0_1700682010372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_blakemaster24|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/blakemaster24/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_claudehotline_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_claudehotline_en.md
new file mode 100644
index 000000000000..cd77faee20b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_claudehotline_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_claudehotline DistilBertForTokenClassification from claudehotline
+author: John Snow Labs
+name: burmese_awesome_wnut_model_claudehotline
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_claudehotline` is a English model originally trained by claudehotline.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_claudehotline_en_5.2.0_3.0_1700655180955.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_claudehotline_en_5.2.0_3.0_1700655180955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_claudehotline|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/claudehotline/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_danstinga_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_danstinga_en.md
new file mode 100644
index 000000000000..d39b79e20485
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_danstinga_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_danstinga DistilBertForTokenClassification from danstinga
+author: John Snow Labs
+name: burmese_awesome_wnut_model_danstinga
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_danstinga` is a English model originally trained by danstinga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_danstinga_en_5.2.0_3.0_1700647632219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_danstinga_en_5.2.0_3.0_1700647632219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_danstinga|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/danstinga/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_darrenhinde_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_darrenhinde_en.md
new file mode 100644
index 000000000000..a2502721a569
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_darrenhinde_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_darrenhinde DistilBertForTokenClassification from darrenhinde
+author: John Snow Labs
+name: burmese_awesome_wnut_model_darrenhinde
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_darrenhinde` is a English model originally trained by darrenhinde.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_darrenhinde_en_5.2.0_3.0_1700677609935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_darrenhinde_en_5.2.0_3.0_1700677609935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_darrenhinde|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/darrenhinde/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_davidliu1110_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_davidliu1110_en.md
new file mode 100644
index 000000000000..145defb09f22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_davidliu1110_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_davidliu1110 DistilBertForTokenClassification from davidliu1110
+author: John Snow Labs
+name: burmese_awesome_wnut_model_davidliu1110
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_davidliu1110` is a English model originally trained by davidliu1110.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_davidliu1110_en_5.2.0_3.0_1700658076882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_davidliu1110_en_5.2.0_3.0_1700658076882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_davidliu1110|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/davidliu1110/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_dimitriish_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_dimitriish_en.md
new file mode 100644
index 000000000000..4de97b4117c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_dimitriish_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_dimitriish DistilBertForTokenClassification from dimitriish
+author: John Snow Labs
+name: burmese_awesome_wnut_model_dimitriish
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_dimitriish` is a English model originally trained by dimitriish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_dimitriish_en_5.2.0_3.0_1700663496784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_dimitriish_en_5.2.0_3.0_1700663496784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_dimitriish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|504.0 MB|
+
+## References
+
+https://huggingface.co/dimitriish/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_edthomasset_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_edthomasset_en.md
new file mode 100644
index 000000000000..80d2a50580d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_edthomasset_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_edthomasset DistilBertForTokenClassification from EdThomasset
+author: John Snow Labs
+name: burmese_awesome_wnut_model_edthomasset
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_edthomasset` is a English model originally trained by EdThomasset.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_edthomasset_en_5.2.0_3.0_1700663820504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_edthomasset_en_5.2.0_3.0_1700663820504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_edthomasset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/EdThomasset/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_eitanli_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_eitanli_en.md
new file mode 100644
index 000000000000..f5d605ba1b69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_eitanli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_eitanli DistilBertForTokenClassification from Eitanli
+author: John Snow Labs
+name: burmese_awesome_wnut_model_eitanli
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_eitanli` is a English model originally trained by Eitanli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_eitanli_en_5.2.0_3.0_1700665803920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_eitanli_en_5.2.0_3.0_1700665803920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_eitanli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Eitanli/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_emmanuelq2_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_emmanuelq2_en.md
new file mode 100644
index 000000000000..b4d83878146e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_emmanuelq2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_emmanuelq2 DistilBertForTokenClassification from emmanuelq2
+author: John Snow Labs
+name: burmese_awesome_wnut_model_emmanuelq2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_emmanuelq2` is a English model originally trained by emmanuelq2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_emmanuelq2_en_5.2.0_3.0_1700676281719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_emmanuelq2_en_5.2.0_3.0_1700676281719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_emmanuelq2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/emmanuelq2/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_ggouda_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_ggouda_en.md
new file mode 100644
index 000000000000..db2e6181f48d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_ggouda_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_ggouda DistilBertForTokenClassification from ggouda
+author: John Snow Labs
+name: burmese_awesome_wnut_model_ggouda
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_ggouda` is a English model originally trained by ggouda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_ggouda_en_5.2.0_3.0_1700659423610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_ggouda_en_5.2.0_3.0_1700659423610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_ggouda|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ggouda/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_gwd77777_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_gwd77777_en.md
new file mode 100644
index 000000000000..5a9d7473c3ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_gwd77777_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_gwd77777 DistilBertForTokenClassification from gwd77777
+author: John Snow Labs
+name: burmese_awesome_wnut_model_gwd77777
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_gwd77777` is a English model originally trained by gwd77777.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_gwd77777_en_5.2.0_3.0_1700650763877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_gwd77777_en_5.2.0_3.0_1700650763877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_gwd77777|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/gwd77777/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_hefeng0_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_hefeng0_en.md
new file mode 100644
index 000000000000..9cfc805793e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_hefeng0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_hefeng0 DistilBertForTokenClassification from hefeng0
+author: John Snow Labs
+name: burmese_awesome_wnut_model_hefeng0
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_hefeng0` is a English model originally trained by hefeng0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_hefeng0_en_5.2.0_3.0_1700679587351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_hefeng0_en_5.2.0_3.0_1700679587351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_hefeng0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/hefeng0/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_idriska_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_idriska_en.md
new file mode 100644
index 000000000000..4cfbf46bcad7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_idriska_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_idriska DistilBertForTokenClassification from Idriska
+author: John Snow Labs
+name: burmese_awesome_wnut_model_idriska
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_idriska` is a English model originally trained by Idriska.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_idriska_en_5.2.0_3.0_1700666662441.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_idriska_en_5.2.0_3.0_1700666662441.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_idriska|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Idriska/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_iftisyed_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_iftisyed_en.md
new file mode 100644
index 000000000000..3e8ac55151f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_iftisyed_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_iftisyed DistilBertForTokenClassification from Iftisyed
+author: John Snow Labs
+name: burmese_awesome_wnut_model_iftisyed
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_iftisyed` is a English model originally trained by Iftisyed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_iftisyed_en_5.2.0_3.0_1700681267761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_iftisyed_en_5.2.0_3.0_1700681267761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_iftisyed|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Iftisyed/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_jessicaassis_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_jessicaassis_en.md
new file mode 100644
index 000000000000..eb6b9d697a83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_jessicaassis_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_jessicaassis DistilBertForTokenClassification from jessicaassis
+author: John Snow Labs
+name: burmese_awesome_wnut_model_jessicaassis
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_jessicaassis` is a English model originally trained by jessicaassis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_jessicaassis_en_5.2.0_3.0_1700653423325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_jessicaassis_en_5.2.0_3.0_1700653423325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_jessicaassis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jessicaassis/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_kadir0_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_kadir0_en.md
new file mode 100644
index 000000000000..fa8394d2fd43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_kadir0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_kadir0 DistilBertForTokenClassification from kadir0
+author: John Snow Labs
+name: burmese_awesome_wnut_model_kadir0
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_kadir0` is a English model originally trained by kadir0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_kadir0_en_5.2.0_3.0_1700676150658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_kadir0_en_5.2.0_3.0_1700676150658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_kadir0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/kadir0/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_lathashree01_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_lathashree01_en.md
new file mode 100644
index 000000000000..5c7bc447f0d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_lathashree01_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_lathashree01 DistilBertForTokenClassification from lathashree01
+author: John Snow Labs
+name: burmese_awesome_wnut_model_lathashree01
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_lathashree01` is a English model originally trained by lathashree01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_lathashree01_en_5.2.0_3.0_1700635736119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_lathashree01_en_5.2.0_3.0_1700635736119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_lathashree01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/lathashree01/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_liujunshi_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_liujunshi_en.md
new file mode 100644
index 000000000000..32b305296cd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_liujunshi_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_liujunshi DistilBertForTokenClassification from liujunshi
+author: John Snow Labs
+name: burmese_awesome_wnut_model_liujunshi
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_liujunshi` is a English model originally trained by liujunshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_liujunshi_en_5.2.0_3.0_1700632777770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_liujunshi_en_5.2.0_3.0_1700632777770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_liujunshi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/liujunshi/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_longmark_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_longmark_en.md
new file mode 100644
index 000000000000..9a9a1e91786e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_longmark_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_longmark DistilBertForTokenClassification from longmark
+author: John Snow Labs
+name: burmese_awesome_wnut_model_longmark
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_longmark` is a English model originally trained by longmark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_longmark_en_5.2.0_3.0_1700653524575.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_longmark_en_5.2.0_3.0_1700653524575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_longmark|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/longmark/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_longxiang_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_longxiang_en.md
new file mode 100644
index 000000000000..77a84ff46ecf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_longxiang_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_longxiang DistilBertForTokenClassification from Longxiang
+author: John Snow Labs
+name: burmese_awesome_wnut_model_longxiang
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_longxiang` is a English model originally trained by Longxiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_longxiang_en_5.2.0_3.0_1700652542215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_longxiang_en_5.2.0_3.0_1700652542215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_longxiang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Longxiang/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_mamuninfo_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_mamuninfo_en.md
new file mode 100644
index 000000000000..4d7d0644734b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_mamuninfo_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_mamuninfo DistilBertForTokenClassification from mamuninfo
+author: John Snow Labs
+name: burmese_awesome_wnut_model_mamuninfo
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_mamuninfo` is a English model originally trained by mamuninfo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_mamuninfo_en_5.2.0_3.0_1700678374729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_mamuninfo_en_5.2.0_3.0_1700678374729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_mamuninfo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mamuninfo/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_maunilvyas_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_maunilvyas_en.md
new file mode 100644
index 000000000000..fa43a3cde759
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_maunilvyas_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_maunilvyas DistilBertForTokenClassification from MaunilVyas
+author: John Snow Labs
+name: burmese_awesome_wnut_model_maunilvyas
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_maunilvyas` is a English model originally trained by MaunilVyas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_maunilvyas_en_5.2.0_3.0_1700660182683.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_maunilvyas_en_5.2.0_3.0_1700660182683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_maunilvyas|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/MaunilVyas/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_may33_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_may33_en.md
new file mode 100644
index 000000000000..2529ad4f5ec6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_may33_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_may33 DistilBertForTokenClassification from May33
+author: John Snow Labs
+name: burmese_awesome_wnut_model_may33
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_may33` is a English model originally trained by May33.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_may33_en_5.2.0_3.0_1700624894018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_may33_en_5.2.0_3.0_1700624894018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_may33|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/May33/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_me11997_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_me11997_en.md
new file mode 100644
index 000000000000..aed98afa226b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_me11997_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_me11997 DistilBertForTokenClassification from me11997
+author: John Snow Labs
+name: burmese_awesome_wnut_model_me11997
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_me11997` is a English model originally trained by me11997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_me11997_en_5.2.0_3.0_1700652542211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_me11997_en_5.2.0_3.0_1700652542211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_me11997|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/me11997/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_merlynjoseph_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_merlynjoseph_en.md
new file mode 100644
index 000000000000..55e0ee383ab3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_merlynjoseph_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_merlynjoseph DistilBertForTokenClassification from merlynjoseph
+author: John Snow Labs
+name: burmese_awesome_wnut_model_merlynjoseph
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_merlynjoseph` is a English model originally trained by merlynjoseph.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_merlynjoseph_en_5.2.0_3.0_1700621907136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_merlynjoseph_en_5.2.0_3.0_1700621907136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_merlynjoseph|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/merlynjoseph/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_mu_mj_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_mu_mj_en.md
new file mode 100644
index 000000000000..2030a9832442
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_mu_mj_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_mu_mj DistilBertForTokenClassification from Mu-mj
+author: John Snow Labs
+name: burmese_awesome_wnut_model_mu_mj
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_mu_mj` is a English model originally trained by Mu-mj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_mu_mj_en_5.2.0_3.0_1700628649830.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_mu_mj_en_5.2.0_3.0_1700628649830.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_mu_mj|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Mu-mj/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_muibk_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_muibk_en.md
new file mode 100644
index 000000000000..04bd6dac393f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_muibk_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_muibk DistilBertForTokenClassification from muibk
+author: John Snow Labs
+name: burmese_awesome_wnut_model_muibk
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_muibk` is a English model originally trained by muibk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_muibk_en_5.2.0_3.0_1700672974341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_muibk_en_5.2.0_3.0_1700672974341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_muibk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/muibk/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_nadeemraja_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_nadeemraja_en.md
new file mode 100644
index 000000000000..03d22a7b0520
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_nadeemraja_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_nadeemraja DistilBertForTokenClassification from nadeemraja
+author: John Snow Labs
+name: burmese_awesome_wnut_model_nadeemraja
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_nadeemraja` is a English model originally trained by nadeemraja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_nadeemraja_en_5.2.0_3.0_1700675660754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_nadeemraja_en_5.2.0_3.0_1700675660754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_nadeemraja|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/nadeemraja/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_ni4z_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_ni4z_en.md
new file mode 100644
index 000000000000..4fbe835a1d8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_ni4z_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_ni4z DistilBertForTokenClassification from Ni4z
+author: John Snow Labs
+name: burmese_awesome_wnut_model_ni4z
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_ni4z` is a English model originally trained by Ni4z.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_ni4z_en_5.2.0_3.0_1700635636005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_ni4z_en_5.2.0_3.0_1700635636005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_ni4z|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Ni4z/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_prudhvirazz_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_prudhvirazz_en.md
new file mode 100644
index 000000000000..f80ea7cb279c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_prudhvirazz_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_prudhvirazz DistilBertForTokenClassification from prudhvirazz
+author: John Snow Labs
+name: burmese_awesome_wnut_model_prudhvirazz
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_prudhvirazz` is a English model originally trained by prudhvirazz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_prudhvirazz_en_5.2.0_3.0_1700674221018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_prudhvirazz_en_5.2.0_3.0_1700674221018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_prudhvirazz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/prudhvirazz/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_qiaoqian_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_qiaoqian_en.md
new file mode 100644
index 000000000000..cde77538801c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_qiaoqian_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_qiaoqian DistilBertForTokenClassification from qiaoqian
+author: John Snow Labs
+name: burmese_awesome_wnut_model_qiaoqian
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_qiaoqian` is a English model originally trained by qiaoqian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_qiaoqian_en_5.2.0_3.0_1700624107296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_qiaoqian_en_5.2.0_3.0_1700624107296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_qiaoqian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/qiaoqian/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_ramikassouf_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_ramikassouf_en.md
new file mode 100644
index 000000000000..91ab26424c3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_ramikassouf_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_ramikassouf DistilBertForTokenClassification from RamiKassouf
+author: John Snow Labs
+name: burmese_awesome_wnut_model_ramikassouf
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_ramikassouf` is a English model originally trained by RamiKassouf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_ramikassouf_en_5.2.0_3.0_1700669114888.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_ramikassouf_en_5.2.0_3.0_1700669114888.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_ramikassouf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/RamiKassouf/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sameerakoppana_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sameerakoppana_en.md
new file mode 100644
index 000000000000..ec87be08ddab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sameerakoppana_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_sameerakoppana DistilBertForTokenClassification from SameeraKoppana
+author: John Snow Labs
+name: burmese_awesome_wnut_model_sameerakoppana
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_sameerakoppana` is a English model originally trained by SameeraKoppana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_sameerakoppana_en_5.2.0_3.0_1700674856471.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_sameerakoppana_en_5.2.0_3.0_1700674856471.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_sameerakoppana|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/SameeraKoppana/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_santoshuske_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_santoshuske_en.md
new file mode 100644
index 000000000000..3994faa2a5ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_santoshuske_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_santoshuske DistilBertForTokenClassification from SantoshUske
+author: John Snow Labs
+name: burmese_awesome_wnut_model_santoshuske
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_santoshuske` is a English model originally trained by SantoshUske.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_santoshuske_en_5.2.0_3.0_1700625842248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_santoshuske_en_5.2.0_3.0_1700625842248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_santoshuske|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/SantoshUske/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_shadman_rohan_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_shadman_rohan_en.md
new file mode 100644
index 000000000000..e8ccfb61301d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_shadman_rohan_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_shadman_rohan DistilBertForTokenClassification from Shadman-Rohan
+author: John Snow Labs
+name: burmese_awesome_wnut_model_shadman_rohan
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_shadman_rohan` is a English model originally trained by Shadman-Rohan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_shadman_rohan_en_5.2.0_3.0_1700644707896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_shadman_rohan_en_5.2.0_3.0_1700644707896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_shadman_rohan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Shadman-Rohan/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_shaohantian_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_shaohantian_en.md
new file mode 100644
index 000000000000..88b3ec33d5cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_shaohantian_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_shaohantian DistilBertForTokenClassification from ShaohanTian
+author: John Snow Labs
+name: burmese_awesome_wnut_model_shaohantian
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_shaohantian` is a English model originally trained by ShaohanTian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_shaohantian_en_5.2.0_3.0_1700672210931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_shaohantian_en_5.2.0_3.0_1700672210931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_shaohantian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ShaohanTian/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sinchir0_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sinchir0_en.md
new file mode 100644
index 000000000000..701c76d2b99d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sinchir0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_sinchir0 DistilBertForTokenClassification from sinchir0
+author: John Snow Labs
+name: burmese_awesome_wnut_model_sinchir0
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_sinchir0` is a English model originally trained by sinchir0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_sinchir0_en_5.2.0_3.0_1700644707924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_sinchir0_en_5.2.0_3.0_1700644707924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_sinchir0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sinchir0/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sofa566_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sofa566_en.md
new file mode 100644
index 000000000000..54bcb5a4dad9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sofa566_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_sofa566 DistilBertForTokenClassification from sofa566
+author: John Snow Labs
+name: burmese_awesome_wnut_model_sofa566
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_sofa566` is a English model originally trained by sofa566.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_sofa566_en_5.2.0_3.0_1700660288569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_sofa566_en_5.2.0_3.0_1700660288569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_sofa566|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sofa566/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_soroushbn_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_soroushbn_en.md
new file mode 100644
index 000000000000..228d7ffef1f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_soroushbn_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_soroushbn DistilBertForTokenClassification from soroushbn
+author: John Snow Labs
+name: burmese_awesome_wnut_model_soroushbn
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_soroushbn` is a English model originally trained by soroushbn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_soroushbn_en_5.2.0_3.0_1700628738696.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_soroushbn_en_5.2.0_3.0_1700628738696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_soroushbn|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/soroushbn/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_spleonard1_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_spleonard1_en.md
new file mode 100644
index 000000000000..3506970efec4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_spleonard1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_spleonard1 DistilBertForTokenClassification from Spleonard1
+author: John Snow Labs
+name: burmese_awesome_wnut_model_spleonard1
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_spleonard1` is a English model originally trained by Spleonard1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_spleonard1_en_5.2.0_3.0_1700641088379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_spleonard1_en_5.2.0_3.0_1700641088379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_spleonard1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Spleonard1/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sravanipilla_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sravanipilla_en.md
new file mode 100644
index 000000000000..6a7af52a2c0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_sravanipilla_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_sravanipilla DistilBertForTokenClassification from Sravanipilla
+author: John Snow Labs
+name: burmese_awesome_wnut_model_sravanipilla
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_sravanipilla` is a English model originally trained by Sravanipilla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_sravanipilla_en_5.2.0_3.0_1700672107247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_sravanipilla_en_5.2.0_3.0_1700672107247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_sravanipilla|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Sravanipilla/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_stepa_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_stepa_en.md
new file mode 100644
index 000000000000..1be7f1c916ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_stepa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_stepa DistilBertForTokenClassification from Stepa
+author: John Snow Labs
+name: burmese_awesome_wnut_model_stepa
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_stepa` is a English model originally trained by Stepa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_stepa_en_5.2.0_3.0_1700661065750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_stepa_en_5.2.0_3.0_1700661065750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_stepa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Stepa/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_suhasparray_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_suhasparray_en.md
new file mode 100644
index 000000000000..60cc5ec28399
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_suhasparray_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_suhasparray DistilBertForTokenClassification from suhasparray
+author: John Snow Labs
+name: burmese_awesome_wnut_model_suhasparray
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_suhasparray` is a English model originally trained by suhasparray.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_suhasparray_en_5.2.0_3.0_1700673973408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_suhasparray_en_5.2.0_3.0_1700673973408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_suhasparray|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/suhasparray/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_terhdavid_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_terhdavid_en.md
new file mode 100644
index 000000000000..b538e26e3ab9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_terhdavid_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_terhdavid DistilBertForTokenClassification from terhdavid
+author: John Snow Labs
+name: burmese_awesome_wnut_model_terhdavid
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_terhdavid` is a English model originally trained by terhdavid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_terhdavid_en_5.2.0_3.0_1700662987844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_terhdavid_en_5.2.0_3.0_1700662987844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_terhdavid|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/terhdavid/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_thrushwanth_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_thrushwanth_en.md
new file mode 100644
index 000000000000..426e54a8c86f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_thrushwanth_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_thrushwanth DistilBertForTokenClassification from Thrushwanth
+author: John Snow Labs
+name: burmese_awesome_wnut_model_thrushwanth
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_thrushwanth` is a English model originally trained by Thrushwanth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_thrushwanth_en_5.2.0_3.0_1700667635611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_thrushwanth_en_5.2.0_3.0_1700667635611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_thrushwanth|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Thrushwanth/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_viktaradynets_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_viktaradynets_en.md
new file mode 100644
index 000000000000..fd2dc5b2ae90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_viktaradynets_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_viktaradynets DistilBertForTokenClassification from ViktarAdynets
+author: John Snow Labs
+name: burmese_awesome_wnut_model_viktaradynets
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_viktaradynets` is a English model originally trained by ViktarAdynets.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_viktaradynets_en_5.2.0_3.0_1700672982777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_viktaradynets_en_5.2.0_3.0_1700672982777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_viktaradynets|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ViktarAdynets/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_vsombhane_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_vsombhane_en.md
new file mode 100644
index 000000000000..b02668e476ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_vsombhane_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_vsombhane DistilBertForTokenClassification from vsombhane
+author: John Snow Labs
+name: burmese_awesome_wnut_model_vsombhane
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_vsombhane` is a English model originally trained by vsombhane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_vsombhane_en_5.2.0_3.0_1700666005608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_vsombhane_en_5.2.0_3.0_1700666005608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_vsombhane|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vsombhane/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_vsufiy_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_vsufiy_en.md
new file mode 100644
index 000000000000..40cf9726f918
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_vsufiy_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_vsufiy DistilBertForTokenClassification from vsufiy
+author: John Snow Labs
+name: burmese_awesome_wnut_model_vsufiy
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_vsufiy` is a English model originally trained by vsufiy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_vsufiy_en_5.2.0_3.0_1700643787061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_vsufiy_en_5.2.0_3.0_1700643787061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_vsufiy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vsufiy/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_xian_xiang_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_xian_xiang_en.md
new file mode 100644
index 000000000000..bac5a6ae4b87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_xian_xiang_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_xian_xiang DistilBertForTokenClassification from Xian-Xiang
+author: John Snow Labs
+name: burmese_awesome_wnut_model_xian_xiang
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_xian_xiang` is a English model originally trained by Xian-Xiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_xian_xiang_en_5.2.0_3.0_1700624992662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_xian_xiang_en_5.2.0_3.0_1700624992662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_xian_xiang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Xian-Xiang/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_xsf_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_xsf_en.md
new file mode 100644
index 000000000000..aabf1a30f623
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_xsf_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_xsf DistilBertForTokenClassification from XSF
+author: John Snow Labs
+name: burmese_awesome_wnut_model_xsf
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_xsf` is a English model originally trained by XSF.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_xsf_en_5.2.0_3.0_1700667136216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_xsf_en_5.2.0_3.0_1700667136216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_xsf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/XSF/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_yannhabib_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_yannhabib_en.md
new file mode 100644
index 000000000000..c02ae0d1b3fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_yannhabib_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_yannhabib DistilBertForTokenClassification from yannhabib
+author: John Snow Labs
+name: burmese_awesome_wnut_model_yannhabib
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_yannhabib` is a English model originally trained by yannhabib.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_yannhabib_en_5.2.0_3.0_1700652647890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_yannhabib_en_5.2.0_3.0_1700652647890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_yannhabib|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/yannhabib/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_yuliang555_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_yuliang555_en.md
new file mode 100644
index 000000000000..88ee14542873
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_yuliang555_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_yuliang555 DistilBertForTokenClassification from yuliang555
+author: John Snow Labs
+name: burmese_awesome_wnut_model_yuliang555
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_yuliang555` is a English model originally trained by yuliang555.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_yuliang555_en_5.2.0_3.0_1700667588685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_yuliang555_en_5.2.0_3.0_1700667588685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_yuliang555|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/yuliang555/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_yyyy1992_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_yyyy1992_en.md
new file mode 100644
index 000000000000..663189e24c04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_yyyy1992_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_yyyy1992 DistilBertForTokenClassification from yyyy1992
+author: John Snow Labs
+name: burmese_awesome_wnut_model_yyyy1992
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_yyyy1992` is a English model originally trained by yyyy1992.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_yyyy1992_en_5.2.0_3.0_1700680522901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_yyyy1992_en_5.2.0_3.0_1700680522901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_yyyy1992|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/yyyy1992/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_zinoli_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_zinoli_en.md
new file mode 100644
index 000000000000..49d682c43fd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awesome_wnut_model_zinoli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_zinoli DistilBertForTokenClassification from zinoli
+author: John Snow Labs
+name: burmese_awesome_wnut_model_zinoli
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_wnut_model_zinoli` is a English model originally trained by zinoli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_zinoli_en_5.2.0_3.0_1700668434180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_zinoli_en_5.2.0_3.0_1700668434180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_zinoli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/zinoli/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_awsome_wnut_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_awsome_wnut_model_en.md
new file mode 100644
index 000000000000..365665eae2dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_awsome_wnut_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_awsome_wnut_model DistilBertForTokenClassification from Laurie
+author: John Snow Labs
+name: burmese_awsome_wnut_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awsome_wnut_model` is a English model originally trained by Laurie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awsome_wnut_model_en_5.2.0_3.0_1700623963619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awsome_wnut_model_en_5.2.0_3.0_1700623963619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awsome_wnut_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Laurie/my_awsome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_distilbert_finetune_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_distilbert_finetune_ner_en.md
new file mode 100644
index 000000000000..389cb3cf5989
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_distilbert_finetune_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_distilbert_finetune_ner DistilBertForTokenClassification from DeepBird
+author: John Snow Labs
+name: burmese_distilbert_finetune_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_distilbert_finetune_ner` is a English model originally trained by DeepBird.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_distilbert_finetune_ner_en_5.2.0_3.0_1700624124322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_distilbert_finetune_ner_en_5.2.0_3.0_1700624124322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_distilbert_finetune_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/DeepBird/my-distilBERT-finetune-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_ebm_model_biobert_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_ebm_model_biobert_en.md
new file mode 100644
index 000000000000..f114a02cd56c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_ebm_model_biobert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_ebm_model_biobert DistilBertForTokenClassification from Agniruudrra
+author: John Snow Labs
+name: burmese_ebm_model_biobert
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_ebm_model_biobert` is a English model originally trained by Agniruudrra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_ebm_model_biobert_en_5.2.0_3.0_1700640413677.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_ebm_model_biobert_en_5.2.0_3.0_1700640413677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_ebm_model_biobert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.3 MB|
+
+## References
+
+https://huggingface.co/Agniruudrra/my_ebm_model_biobert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_first_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_first_model_en.md
new file mode 100644
index 000000000000..fe67f26e4ba9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_first_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_first_model DistilBertForTokenClassification from mami99
+author: John Snow Labs
+name: burmese_first_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_first_model` is a English model originally trained by mami99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_first_model_en_5.2.0_3.0_1700673926458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_first_model_en_5.2.0_3.0_1700673926458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_first_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mami99/my_first_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_model_eeeureka_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_model_eeeureka_en.md
new file mode 100644
index 000000000000..1a5c033e9ffe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_model_eeeureka_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_model_eeeureka DistilBertForTokenClassification from eeeureka
+author: John Snow Labs
+name: burmese_model_eeeureka
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model_eeeureka` is a English model originally trained by eeeureka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_eeeureka_en_5.2.0_3.0_1700623681934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_eeeureka_en_5.2.0_3.0_1700623681934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_model_eeeureka|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.9 MB|
+
+## References
+
+https://huggingface.co/eeeureka/my_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_ner_model_jimi11_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_ner_model_jimi11_en.md
new file mode 100644
index 000000000000..a3faa1a478b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_ner_model_jimi11_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_ner_model_jimi11 DistilBertForTokenClassification from Jimi11
+author: John Snow Labs
+name: burmese_ner_model_jimi11
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_ner_model_jimi11` is a English model originally trained by Jimi11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_ner_model_jimi11_en_5.2.0_3.0_1700656485667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_ner_model_jimi11_en_5.2.0_3.0_1700656485667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_ner_model_jimi11|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Jimi11/my_ner_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_nlp_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_nlp_model_en.md
new file mode 100644
index 000000000000..cb6bbf322fd2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_nlp_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_nlp_model DistilBertForTokenClassification from EdThomasset
+author: John Snow Labs
+name: burmese_nlp_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_nlp_model` is a English model originally trained by EdThomasset.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_nlp_model_en_5.2.0_3.0_1700679253423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_nlp_model_en_5.2.0_3.0_1700679253423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_nlp_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/EdThomasset/my_nlp_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_sequence_labelling_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_sequence_labelling_model_en.md
new file mode 100644
index 000000000000..f051e55efe4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_sequence_labelling_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_sequence_labelling_model DistilBertForTokenClassification from Gayu
+author: John Snow Labs
+name: burmese_sequence_labelling_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_sequence_labelling_model` is a English model originally trained by Gayu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_sequence_labelling_model_en_5.2.0_3.0_1700622760026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_sequence_labelling_model_en_5.2.0_3.0_1700622760026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_sequence_labelling_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Gayu/my_sequence_labelling_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_test2_wnut_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_test2_wnut_model_en.md
new file mode 100644
index 000000000000..bed9b0254e10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_test2_wnut_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_test2_wnut_model DistilBertForTokenClassification from tro9999
+author: John Snow Labs
+name: burmese_test2_wnut_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_test2_wnut_model` is a English model originally trained by tro9999.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_test2_wnut_model_en_5.2.0_3.0_1700672894642.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_test2_wnut_model_en_5.2.0_3.0_1700672894642.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_test2_wnut_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/tro9999/my_test2_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-burmese_test_big_ner_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-burmese_test_big_ner_model_en.md
new file mode 100644
index 000000000000..4e0a876b4334
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-burmese_test_big_ner_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English burmese_test_big_ner_model DistilBertForTokenClassification from tro9999
+author: John Snow Labs
+name: burmese_test_big_ner_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_test_big_ner_model` is a English model originally trained by tro9999.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_test_big_ner_model_en_5.2.0_3.0_1700681189973.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_test_big_ner_model_en_5.2.0_3.0_1700681189973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_test_big_ner_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/tro9999/my_test_big_ner_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-chope_fine_dishing_distilbert_base_uncased_finetuned_ner_v0_1_en.md b/docs/_posts/ahmedlone127/2023-11-22-chope_fine_dishing_distilbert_base_uncased_finetuned_ner_v0_1_en.md
new file mode 100644
index 000000000000..7964ea712005
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-chope_fine_dishing_distilbert_base_uncased_finetuned_ner_v0_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English chope_fine_dishing_distilbert_base_uncased_finetuned_ner_v0_1 DistilBertForTokenClassification from quydchope
+author: John Snow Labs
+name: chope_fine_dishing_distilbert_base_uncased_finetuned_ner_v0_1
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chope_fine_dishing_distilbert_base_uncased_finetuned_ner_v0_1` is a English model originally trained by quydchope.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chope_fine_dishing_distilbert_base_uncased_finetuned_ner_v0_1_en_5.2.0_3.0_1700621919205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chope_fine_dishing_distilbert_base_uncased_finetuned_ner_v0_1_en_5.2.0_3.0_1700621919205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chope_fine_dishing_distilbert_base_uncased_finetuned_ner_v0_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/quydchope/chope-fine-dishing-distilbert-base-uncased-finetuned-ner-v0.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-claims_data_model_cgensheimer_en.md b/docs/_posts/ahmedlone127/2023-11-22-claims_data_model_cgensheimer_en.md
new file mode 100644
index 000000000000..d19f46ad9f97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-claims_data_model_cgensheimer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English claims_data_model_cgensheimer DistilBertForTokenClassification from cgensheimer
+author: John Snow Labs
+name: claims_data_model_cgensheimer
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`claims_data_model_cgensheimer` is a English model originally trained by cgensheimer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/claims_data_model_cgensheimer_en_5.2.0_3.0_1700620723788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/claims_data_model_cgensheimer_en_5.2.0_3.0_1700620723788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|claims_data_model_cgensheimer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/cgensheimer/claims-data-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-claims_data_model_jlandis_en.md b/docs/_posts/ahmedlone127/2023-11-22-claims_data_model_jlandis_en.md
new file mode 100644
index 000000000000..a49e8175d5d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-claims_data_model_jlandis_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English claims_data_model_jlandis DistilBertForTokenClassification from JLandis
+author: John Snow Labs
+name: claims_data_model_jlandis
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`claims_data_model_jlandis` is a English model originally trained by JLandis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/claims_data_model_jlandis_en_5.2.0_3.0_1700658368544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/claims_data_model_jlandis_en_5.2.0_3.0_1700658368544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|claims_data_model_jlandis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/JLandis/claims-data-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-claims_data_model_mjokich_en.md b/docs/_posts/ahmedlone127/2023-11-22-claims_data_model_mjokich_en.md
new file mode 100644
index 000000000000..98fa46e1b39a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-claims_data_model_mjokich_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English claims_data_model_mjokich DistilBertForTokenClassification from mjokich
+author: John Snow Labs
+name: claims_data_model_mjokich
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`claims_data_model_mjokich` is a English model originally trained by mjokich.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/claims_data_model_mjokich_en_5.2.0_3.0_1700678530628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/claims_data_model_mjokich_en_5.2.0_3.0_1700678530628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|claims_data_model_mjokich|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mjokich/claims-data-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-clinico_en.md b/docs/_posts/ahmedlone127/2023-11-22-clinico_en.md
new file mode 100644
index 000000000000..258ca22b30fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-clinico_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clinico DistilBertForTokenClassification from joheras
+author: John Snow Labs
+name: clinico
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clinico` is a English model originally trained by joheras.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinico_en_5.2.0_3.0_1700629574997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinico_en_5.2.0_3.0_1700629574997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinico|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/joheras/clinico
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-clinico_finetuned_augmented1_en.md b/docs/_posts/ahmedlone127/2023-11-22-clinico_finetuned_augmented1_en.md
new file mode 100644
index 000000000000..ea5a0e1c2d18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-clinico_finetuned_augmented1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clinico_finetuned_augmented1 DistilBertForTokenClassification from joheras
+author: John Snow Labs
+name: clinico_finetuned_augmented1
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clinico_finetuned_augmented1` is a English model originally trained by joheras.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinico_finetuned_augmented1_en_5.2.0_3.0_1700661180506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinico_finetuned_augmented1_en_5.2.0_3.0_1700661180506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinico_finetuned_augmented1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/joheras/clinico-finetuned-augmented1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-clinico_finetuned_en.md b/docs/_posts/ahmedlone127/2023-11-22-clinico_finetuned_en.md
new file mode 100644
index 000000000000..b151da3c110c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-clinico_finetuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English clinico_finetuned DistilBertForTokenClassification from joheras
+author: John Snow Labs
+name: clinico_finetuned
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clinico_finetuned` is a English model originally trained by joheras.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinico_finetuned_en_5.2.0_3.0_1700646125131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinico_finetuned_en_5.2.0_3.0_1700646125131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinico_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/joheras/clinico-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_09_v2_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_09_v2_finetuned_ner_en.md
new file mode 100644
index 000000000000..c5b7f07f1ecb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_09_v2_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English color_extraction_2023_02_09_v2_finetuned_ner DistilBertForTokenClassification from plpkpjph
+author: John Snow Labs
+name: color_extraction_2023_02_09_v2_finetuned_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`color_extraction_2023_02_09_v2_finetuned_ner` is a English model originally trained by plpkpjph.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/color_extraction_2023_02_09_v2_finetuned_ner_en_5.2.0_3.0_1700654252567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/color_extraction_2023_02_09_v2_finetuned_ner_en_5.2.0_3.0_1700654252567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|color_extraction_2023_02_09_v2_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/plpkpjph/color_extraction_2023_02_09_v2-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_10_v1_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_10_v1_finetuned_ner_en.md
new file mode 100644
index 000000000000..7b02cfd18ee8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_10_v1_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English color_extraction_2023_02_10_v1_finetuned_ner DistilBertForTokenClassification from plpkpjph
+author: John Snow Labs
+name: color_extraction_2023_02_10_v1_finetuned_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`color_extraction_2023_02_10_v1_finetuned_ner` is a English model originally trained by plpkpjph.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/color_extraction_2023_02_10_v1_finetuned_ner_en_5.2.0_3.0_1700680342766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/color_extraction_2023_02_10_v1_finetuned_ner_en_5.2.0_3.0_1700680342766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|color_extraction_2023_02_10_v1_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/plpkpjph/color_extraction_2023_02_10_v1-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_10_v2_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_10_v2_finetuned_ner_en.md
new file mode 100644
index 000000000000..f99eb8092e13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_10_v2_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English color_extraction_2023_02_10_v2_finetuned_ner DistilBertForTokenClassification from plpkpjph
+author: John Snow Labs
+name: color_extraction_2023_02_10_v2_finetuned_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`color_extraction_2023_02_10_v2_finetuned_ner` is a English model originally trained by plpkpjph.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/color_extraction_2023_02_10_v2_finetuned_ner_en_5.2.0_3.0_1700663999283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/color_extraction_2023_02_10_v2_finetuned_ner_en_5.2.0_3.0_1700663999283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|color_extraction_2023_02_10_v2_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/plpkpjph/color_extraction_2023_02_10_v2-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_10_v3_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_10_v3_finetuned_ner_en.md
new file mode 100644
index 000000000000..d1e9ffe1508c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-color_extraction_2023_02_10_v3_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English color_extraction_2023_02_10_v3_finetuned_ner DistilBertForTokenClassification from plpkpjph
+author: John Snow Labs
+name: color_extraction_2023_02_10_v3_finetuned_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`color_extraction_2023_02_10_v3_finetuned_ner` is a English model originally trained by plpkpjph.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/color_extraction_2023_02_10_v3_finetuned_ner_en_5.2.0_3.0_1700665728569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/color_extraction_2023_02_10_v3_finetuned_ner_en_5.2.0_3.0_1700665728569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|color_extraction_2023_02_10_v3_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/plpkpjph/color_extraction_2023_02_10_v3-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-consejo_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-consejo_ner_en.md
new file mode 100644
index 000000000000..26ca893618f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-consejo_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English consejo_ner DistilBertForTokenClassification from hucruz
+author: John Snow Labs
+name: consejo_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`consejo_ner` is a English model originally trained by hucruz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/consejo_ner_en_5.2.0_3.0_1700655180953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/consejo_ner_en_5.2.0_3.0_1700655180953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|consejo_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/hucruz/consejo-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-copilot_namanj_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-copilot_namanj_model_en.md
new file mode 100644
index 000000000000..a3d2cb4b9baf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-copilot_namanj_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English copilot_namanj_model DistilBertForTokenClassification from bobbyw
+author: John Snow Labs
+name: copilot_namanj_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`copilot_namanj_model` is a English model originally trained by bobbyw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/copilot_namanj_model_en_5.2.0_3.0_1700673035628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/copilot_namanj_model_en_5.2.0_3.0_1700673035628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|copilot_namanj_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/bobbyw/copilot_namanj_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-copilot_wnut_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-copilot_wnut_model_en.md
new file mode 100644
index 000000000000..c8a54b89a371
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-copilot_wnut_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English copilot_wnut_model DistilBertForTokenClassification from bobbyw
+author: John Snow Labs
+name: copilot_wnut_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`copilot_wnut_model` is a English model originally trained by bobbyw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/copilot_wnut_model_en_5.2.0_3.0_1700667458213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/copilot_wnut_model_en_5.2.0_3.0_1700667458213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|copilot_wnut_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bobbyw/copilot_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-cybonto_distilbert_base_uncased_finetuned_ner_fewnerd_en.md b/docs/_posts/ahmedlone127/2023-11-22-cybonto_distilbert_base_uncased_finetuned_ner_fewnerd_en.md
new file mode 100644
index 000000000000..0ff378d6fe77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-cybonto_distilbert_base_uncased_finetuned_ner_fewnerd_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English cybonto_distilbert_base_uncased_finetuned_ner_fewnerd DistilBertForTokenClassification from theResearchNinja
+author: John Snow Labs
+name: cybonto_distilbert_base_uncased_finetuned_ner_fewnerd
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cybonto_distilbert_base_uncased_finetuned_ner_fewnerd` is a English model originally trained by theResearchNinja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cybonto_distilbert_base_uncased_finetuned_ner_fewnerd_en_5.2.0_3.0_1700619168095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cybonto_distilbert_base_uncased_finetuned_ner_fewnerd_en_5.2.0_3.0_1700619168095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cybonto_distilbert_base_uncased_finetuned_ner_fewnerd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/theResearchNinja/Cybonto-distilbert-base-uncased-finetuned-ner-FewNerd
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-cybonto_distilbert_base_uncased_finetuned_ner_v0_1_en.md b/docs/_posts/ahmedlone127/2023-11-22-cybonto_distilbert_base_uncased_finetuned_ner_v0_1_en.md
new file mode 100644
index 000000000000..be18cc2d5e45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-cybonto_distilbert_base_uncased_finetuned_ner_v0_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English cybonto_distilbert_base_uncased_finetuned_ner_v0_1 DistilBertForTokenClassification from theResearchNinja
+author: John Snow Labs
+name: cybonto_distilbert_base_uncased_finetuned_ner_v0_1
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cybonto_distilbert_base_uncased_finetuned_ner_v0_1` is a English model originally trained by theResearchNinja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cybonto_distilbert_base_uncased_finetuned_ner_v0_1_en_5.2.0_3.0_1700622582594.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cybonto_distilbert_base_uncased_finetuned_ner_v0_1_en_5.2.0_3.0_1700622582594.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cybonto_distilbert_base_uncased_finetuned_ner_v0_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/theResearchNinja/Cybonto-distilbert-base-uncased-finetuned-ner-v0.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-datos_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-datos_ner_en.md
new file mode 100644
index 000000000000..90cc7d053f90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-datos_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English datos_ner DistilBertForTokenClassification from hucruz
+author: John Snow Labs
+name: datos_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`datos_ner` is a English model originally trained by hucruz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/datos_ner_en_5.2.0_3.0_1700654252516.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/datos_ner_en_5.2.0_3.0_1700654252516.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|datos_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/hucruz/datos-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-dbert_finetuned_ct_2023_en.md b/docs/_posts/ahmedlone127/2023-11-22-dbert_finetuned_ct_2023_en.md
new file mode 100644
index 000000000000..7ddaf5cde211
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-dbert_finetuned_ct_2023_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dbert_finetuned_ct_2023 DistilBertForTokenClassification from berkegocmen
+author: John Snow Labs
+name: dbert_finetuned_ct_2023
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dbert_finetuned_ct_2023` is a English model originally trained by berkegocmen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbert_finetuned_ct_2023_en_5.2.0_3.0_1700662121482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbert_finetuned_ct_2023_en_5.2.0_3.0_1700662121482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbert_finetuned_ct_2023|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/berkegocmen/dbert-finetuned-ct-2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-dimensions_extraction_2023_02_10_30000_datatpoints_en.md b/docs/_posts/ahmedlone127/2023-11-22-dimensions_extraction_2023_02_10_30000_datatpoints_en.md
new file mode 100644
index 000000000000..1a401ab88eec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-dimensions_extraction_2023_02_10_30000_datatpoints_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dimensions_extraction_2023_02_10_30000_datatpoints DistilBertForTokenClassification from plpkpjph
+author: John Snow Labs
+name: dimensions_extraction_2023_02_10_30000_datatpoints
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dimensions_extraction_2023_02_10_30000_datatpoints` is a English model originally trained by plpkpjph.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dimensions_extraction_2023_02_10_30000_datatpoints_en_5.2.0_3.0_1700625842227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dimensions_extraction_2023_02_10_30000_datatpoints_en_5.2.0_3.0_1700625842227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dimensions_extraction_2023_02_10_30000_datatpoints|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/plpkpjph/dimensions_extraction_2023_02_10_30000_datatpoints
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-dimensions_extraction_2023_02_10_v0_en.md b/docs/_posts/ahmedlone127/2023-11-22-dimensions_extraction_2023_02_10_v0_en.md
new file mode 100644
index 000000000000..bf6aabf2362e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-dimensions_extraction_2023_02_10_v0_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dimensions_extraction_2023_02_10_v0 DistilBertForTokenClassification from plpkpjph
+author: John Snow Labs
+name: dimensions_extraction_2023_02_10_v0
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dimensions_extraction_2023_02_10_v0` is a English model originally trained by plpkpjph.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dimensions_extraction_2023_02_10_v0_en_5.2.0_3.0_1700666821751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dimensions_extraction_2023_02_10_v0_en_5.2.0_3.0_1700666821751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dimensions_extraction_2023_02_10_v0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/plpkpjph/dimensions_extraction_2023_02_10_v0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-directquote_chunktext_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-22-directquote_chunktext_distilbert_en.md
new file mode 100644
index 000000000000..bd64eb4daf2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-directquote_chunktext_distilbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English directquote_chunktext_distilbert DistilBertForTokenClassification from whispAI
+author: John Snow Labs
+name: directquote_chunktext_distilbert
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`directquote_chunktext_distilbert` is a English model originally trained by whispAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/directquote_chunktext_distilbert_en_5.2.0_3.0_1700648866789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/directquote_chunktext_distilbert_en_5.2.0_3.0_1700648866789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|directquote_chunktext_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/whispAI/DirectQuote-ChunkText-DistilBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-disbert_finetune_for_gentriple_malcolmcjj13_en.md b/docs/_posts/ahmedlone127/2023-11-22-disbert_finetune_for_gentriple_malcolmcjj13_en.md
new file mode 100644
index 000000000000..11b08d821bd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-disbert_finetune_for_gentriple_malcolmcjj13_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English disbert_finetune_for_gentriple_malcolmcjj13 DistilBertForTokenClassification from Malcolmcjj13
+author: John Snow Labs
+name: disbert_finetune_for_gentriple_malcolmcjj13
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`disbert_finetune_for_gentriple_malcolmcjj13` is a English model originally trained by Malcolmcjj13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/disbert_finetune_for_gentriple_malcolmcjj13_en_5.2.0_3.0_1700623984733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/disbert_finetune_for_gentriple_malcolmcjj13_en_5.2.0_3.0_1700623984733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|disbert_finetune_for_gentriple_malcolmcjj13|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Malcolmcjj13/disbert_finetune_for_gentriple
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distil_added_voca_en.md b/docs/_posts/ahmedlone127/2023-11-22-distil_added_voca_en.md
new file mode 100644
index 000000000000..20a59306930b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distil_added_voca_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distil_added_voca DistilBertForTokenClassification from troesy
+author: John Snow Labs
+name: distil_added_voca
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distil_added_voca` is a English model originally trained by troesy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_added_voca_en_5.2.0_3.0_1700637500823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_added_voca_en_5.2.0_3.0_1700637500823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_added_voca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/troesy/distil-added-voca
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_3epoch_latfalse_updatedalligning_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_3epoch_latfalse_updatedalligning_en.md
new file mode 100644
index 000000000000..a46c30ee4b96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_3epoch_latfalse_updatedalligning_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_3epoch_latfalse_updatedalligning DistilBertForTokenClassification from troesy
+author: John Snow Labs
+name: distilbert_base_cased_3epoch_latfalse_updatedalligning
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_3epoch_latfalse_updatedalligning` is a English model originally trained by troesy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_3epoch_latfalse_updatedalligning_en_5.2.0_3.0_1700622578770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_3epoch_latfalse_updatedalligning_en_5.2.0_3.0_1700622578770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_3epoch_latfalse_updatedalligning|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/troesy/distilbert-base-cased-3epoch-LaTFalse-updatedAlligning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_3epoch_lattrue_updatedalligning_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_3epoch_lattrue_updatedalligning_en.md
new file mode 100644
index 000000000000..a272f306254f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_3epoch_lattrue_updatedalligning_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_3epoch_lattrue_updatedalligning DistilBertForTokenClassification from troesy
+author: John Snow Labs
+name: distilbert_base_cased_3epoch_lattrue_updatedalligning
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_3epoch_lattrue_updatedalligning` is a English model originally trained by troesy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_3epoch_lattrue_updatedalligning_en_5.2.0_3.0_1700630268063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_3epoch_lattrue_updatedalligning_en_5.2.0_3.0_1700630268063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_3epoch_lattrue_updatedalligning|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/troesy/distilbert-base-cased-3epoch-LaTTrue-updatedAlligning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_nalllabel_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_nalllabel_en.md
new file mode 100644
index 000000000000..26ad4ee04eb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_nalllabel_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_nalllabel DistilBertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_nalllabel
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_nalllabel` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_nalllabel_en_5.2.0_3.0_1700622558438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_nalllabel_en_5.2.0_3.0_1700622558438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_nalllabel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/distilbert-base-cased-finetuned-nalllabel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_0220_j_oridata_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_0220_j_oridata_en.md
new file mode 100644
index 000000000000..6dcafa956230
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_0220_j_oridata_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_0220_j_oridata DistilBertForTokenClassification from morganchen1007
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_0220_j_oridata
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_0220_j_oridata` is a English model originally trained by morganchen1007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_0220_j_oridata_en_5.2.0_3.0_1700621889386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_0220_j_oridata_en_5.2.0_3.0_1700621889386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_0220_j_oridata|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/morganchen1007/distilbert-base-cased-finetuned-ner_0220_J_ORIDATA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_all_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_all_en.md
new file mode 100644
index 000000000000..160483eb90e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_all_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_all DistilBertForTokenClassification from RS7
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_all
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_all` is a English model originally trained by RS7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_all_en_5.2.0_3.0_1700662987781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_all_en_5.2.0_3.0_1700662987781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/RS7/distilbert-base-cased-finetuned-ner-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_finetuned_ner_en.md
new file mode 100644
index 000000000000..6ccf39ce7d19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_finetuned_ner DistilBertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_finetuned_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_finetuned_ner` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_finetuned_ner_en_5.2.0_3.0_1700623234852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_finetuned_ner_en_5.2.0_3.0_1700623234852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/distilbert-base-cased-finetuned-ner-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_linh101201_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_linh101201_en.md
new file mode 100644
index 000000000000..84c68f72f8cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_linh101201_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_linh101201 DistilBertForTokenClassification from linh101201
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_linh101201
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_linh101201` is a English model originally trained by linh101201.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_linh101201_en_5.2.0_3.0_1700670001693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_linh101201_en_5.2.0_3.0_1700670001693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_linh101201|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|244.3 MB|
+
+## References
+
+https://huggingface.co/linh101201/distilbert-base-cased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_t2_g2_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_t2_g2_en.md
new file mode 100644
index 000000000000..9beb0857a1fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_t2_g2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_t2_g2 DistilBertForTokenClassification from RS7
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_t2_g2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_t2_g2` is a English model originally trained by RS7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_t2_g2_en_5.2.0_3.0_1700678303244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_t2_g2_en_5.2.0_3.0_1700678303244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_t2_g2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/RS7/distilbert-base-cased-finetuned-ner-t2-g2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_test_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_test_en.md
new file mode 100644
index 000000000000..eabff10bde07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_ner_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_ner_test DistilBertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_ner_test
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_ner_test` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_test_en_5.2.0_3.0_1700622879089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_ner_test_en_5.2.0_3.0_1700622879089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_ner_test|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/distilbert-base-cased-finetuned-ner-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_paper2_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_paper2_en.md
new file mode 100644
index 000000000000..ebb1511da79d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_paper2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_paper2 DistilBertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_paper2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_paper2` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_paper2_en_5.2.0_3.0_1700623542326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_paper2_en_5.2.0_3.0_1700623542326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_paper2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/distilbert-base-cased-finetuned-paper2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_paper3_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_paper3_en.md
new file mode 100644
index 000000000000..7fe7aa0b6fed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_paper3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_paper3 DistilBertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_paper3
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_paper3` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_paper3_en_5.2.0_3.0_1700621950752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_paper3_en_5.2.0_3.0_1700621950752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_paper3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/distilbert-base-cased-finetuned-paper3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_paper_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_paper_en.md
new file mode 100644
index 000000000000..192cdd588b7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_finetuned_paper_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_finetuned_paper DistilBertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: distilbert_base_cased_finetuned_paper
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_finetuned_paper` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_paper_en_5.2.0_3.0_1700621412336.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_finetuned_paper_en_5.2.0_3.0_1700621412336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_paper|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/distilbert-base-cased-finetuned-paper
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_ner_trained_on_synthea_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_ner_trained_on_synthea_en.md
new file mode 100644
index 000000000000..8808780f3157
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_cased_ner_trained_on_synthea_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_ner_trained_on_synthea DistilBertForTokenClassification from jage
+author: John Snow Labs
+name: distilbert_base_cased_ner_trained_on_synthea
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_ner_trained_on_synthea` is a English model originally trained by jage.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_ner_trained_on_synthea_en_5.2.0_3.0_1700663869821.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_ner_trained_on_synthea_en_5.2.0_3.0_1700663869821.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_ner_trained_on_synthea|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/jage/distilbert-base-cased-NER-trained-on-synthea
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_gest_pred_seqeval_partialmatch_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_gest_pred_seqeval_partialmatch_en.md
new file mode 100644
index 000000000000..0d892918f3fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_gest_pred_seqeval_partialmatch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_gest_pred_seqeval_partialmatch DistilBertForTokenClassification from Jsevisal
+author: John Snow Labs
+name: distilbert_base_gest_pred_seqeval_partialmatch
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_gest_pred_seqeval_partialmatch` is a English model originally trained by Jsevisal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_gest_pred_seqeval_partialmatch_en_5.2.0_3.0_1700620255846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_gest_pred_seqeval_partialmatch_en_5.2.0_3.0_1700620255846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_wnut_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/dmargutierrez/distilbert-base-multilingual-cased-WNUT-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_pabloguinea_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_pabloguinea_en.md
new file mode 100644
index 000000000000..5a9b65bc9276
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_pabloguinea_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_pabloguinea DistilBertForTokenClassification from PabloGuinea
+author: John Snow Labs
+name: distilbert_base_pabloguinea
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_pabloguinea` is a English model originally trained by PabloGuinea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_pabloguinea_en_5.2.0_3.0_1700621004690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_pabloguinea_en_5.2.0_3.0_1700621004690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_pabloguinea|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/PabloGuinea/distilbert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_abdullahf129_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_abdullahf129_en.md
new file mode 100644
index 000000000000..bd5b40873a06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_abdullahf129_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_abdullahf129 DistilBertForTokenClassification from abdullahf129
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_abdullahf129
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_abdullahf129` is a English model originally trained by abdullahf129.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_abdullahf129_en_5.2.0_3.0_1700650929936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_abdullahf129_en_5.2.0_3.0_1700650929936.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_abdullahf129|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/abdullahf129/distilbert-base-uncased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_chunk_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_chunk_en.md
new file mode 100644
index 000000000000..ab46fb4e4a1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_chunk_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_chunk DistilBertForTokenClassification from jh1
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_chunk
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_chunk` is a English model originally trained by jh1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_chunk_en_5.2.0_3.0_1700638908052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_chunk_en_5.2.0_3.0_1700638908052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_chunk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jh1/distilbert-base-uncased-finetuned-chunk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_combinedmodel1_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_combinedmodel1_ner_en.md
new file mode 100644
index 000000000000..c80af7e8d3c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_combinedmodel1_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_combinedmodel1_ner DistilBertForTokenClassification from akshaychaudhary
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_combinedmodel1_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_combinedmodel1_ner` is a English model originally trained by akshaychaudhary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_combinedmodel1_ner_en_5.2.0_3.0_1700619813049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_combinedmodel1_ner_en_5.2.0_3.0_1700619813049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_combinedmodel1_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/akshaychaudhary/distilbert-base-uncased-finetuned-combinedmodel1-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_devops1_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_devops1_ner_en.md
new file mode 100644
index 000000000000..b30546886ebb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_devops1_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_devops1_ner DistilBertForTokenClassification from akshaychaudhary
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_devops1_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_devops1_ner` is a English model originally trained by akshaychaudhary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_devops1_ner_en_5.2.0_3.0_1700621571655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_devops1_ner_en_5.2.0_3.0_1700621571655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_devops1_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/akshaychaudhary/distilbert-base-uncased-finetuned-devops1-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_devops_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_devops_ner_en.md
new file mode 100644
index 000000000000..b8839326d5d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_devops_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_devops_ner DistilBertForTokenClassification from akshaychaudhary
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_devops_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_devops_ner` is a English model originally trained by akshaychaudhary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_devops_ner_en_5.2.0_3.0_1700619990027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_devops_ner_en_5.2.0_3.0_1700619990027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_devops_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/akshaychaudhary/distilbert-base-uncased-finetuned-devops-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_model1_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_model1_ner_en.md
new file mode 100644
index 000000000000..c78c5b85b859
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_model1_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_model1_ner DistilBertForTokenClassification from prashant852
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_model1_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_model1_ner` is a English model originally trained by prashant852.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_model1_ner_en_5.2.0_3.0_1700671189195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_model1_ner_en_5.2.0_3.0_1700671189195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_model1_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/prashant852/distilbert-base-uncased-finetuned_model1-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_model2_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_model2_ner_en.md
new file mode 100644
index 000000000000..9299d720bff2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_model2_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_model2_ner DistilBertForTokenClassification from prashant852
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_model2_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_model2_ner` is a English model originally trained by prashant852.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_model2_ner_en_5.2.0_3.0_1700669931482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_model2_ner_en_5.2.0_3.0_1700669931482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_model2_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/prashant852/distilbert-base-uncased-finetuned_model2-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_model3_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_model3_ner_en.md
new file mode 100644
index 000000000000..17d4f6ff4e96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_model3_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_model3_ner DistilBertForTokenClassification from prashant852
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_model3_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_model3_ner` is a English model originally trained by prashant852.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_model3_ner_en_5.2.0_3.0_1700672107160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_model3_ner_en_5.2.0_3.0_1700672107160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_model3_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/prashant852/distilbert-base-uncased-finetuned_model3-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner1_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner1_en.md
new file mode 100644
index 000000000000..b4441637bab4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner1 DistilBertForTokenClassification from AhmedTaha012
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner1
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner1` is a English model originally trained by AhmedTaha012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner1_en_5.2.0_3.0_1700661179447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner1_en_5.2.0_3.0_1700661179447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/AhmedTaha012/distilbert-base-uncased-finetuned-ner1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_0220_j_oridata_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_0220_j_oridata_en.md
new file mode 100644
index 000000000000..92d16c33cdb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_0220_j_oridata_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_0220_j_oridata DistilBertForTokenClassification from morganchen1007
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_0220_j_oridata
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_0220_j_oridata` is a English model originally trained by morganchen1007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_0220_j_oridata_en_5.2.0_3.0_1700622281764.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_0220_j_oridata_en_5.2.0_3.0_1700622281764.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_0220_j_oridata|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/morganchen1007/distilbert-base-uncased-finetuned-ner_0220_J_ORIDATA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_3_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_3_en.md
new file mode 100644
index 000000000000..01c1e4075dee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_3 DistilBertForTokenClassification from aarroonn22
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_3
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_3` is a English model originally trained by aarroonn22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_3_en_5.2.0_3.0_1700646950402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_3_en_5.2.0_3.0_1700646950402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/aarroonn22/distilbert-base-uncased-finetuned-ner-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aaraki_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aaraki_en.md
new file mode 100644
index 000000000000..3a4047fc97bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aaraki_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_aaraki DistilBertForTokenClassification from aaraki
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_aaraki
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_aaraki` is a English model originally trained by aaraki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_aaraki_en_5.2.0_3.0_1700623817150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_aaraki_en_5.2.0_3.0_1700623817150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_aaraki|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/aaraki/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aaya_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aaya_en.md
new file mode 100644
index 000000000000..69d15277a1bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aaya_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_aaya DistilBertForTokenClassification from aaya
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_aaya
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_aaya` is a English model originally trained by aaya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_aaya_en_5.2.0_3.0_1700620527076.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_aaya_en_5.2.0_3.0_1700620527076.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_aaya|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/aaya/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aburak621_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aburak621_en.md
new file mode 100644
index 000000000000..c05ed513a806
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aburak621_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_aburak621 DistilBertForTokenClassification from aburak621
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_aburak621
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_aburak621` is a English model originally trained by aburak621.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_aburak621_en_5.2.0_3.0_1700619448683.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_aburak621_en_5.2.0_3.0_1700619448683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_aburak621|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/aburak621/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_acshcse_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_acshcse_en.md
new file mode 100644
index 000000000000..400c47b71122
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_acshcse_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_acshcse DistilBertForTokenClassification from ACSHCSE
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_acshcse
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_acshcse` is a English model originally trained by ACSHCSE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_acshcse_en_5.2.0_3.0_1700623822632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_acshcse_en_5.2.0_3.0_1700623822632.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_acshcse|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ACSHCSE/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_alemanio_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_alemanio_en.md
new file mode 100644
index 000000000000..f92db1b4ee3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_alemanio_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_alemanio DistilBertForTokenClassification from Alemanio
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_alemanio
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_alemanio` is a English model originally trained by Alemanio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_alemanio_en_5.2.0_3.0_1700626555832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_alemanio_en_5.2.0_3.0_1700626555832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_alemanio|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Alemanio/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_almentalist_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_almentalist_en.md
new file mode 100644
index 000000000000..c08ff87b7800
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_almentalist_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_almentalist DistilBertForTokenClassification from almentalist
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_almentalist
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_almentalist` is a English model originally trained by almentalist.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_almentalist_en_5.2.0_3.0_1700620672708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_almentalist_en_5.2.0_3.0_1700620672708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_almentalist|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/almentalist/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aloncohen_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aloncohen_en.md
new file mode 100644
index 000000000000..04d76e4ef58d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_aloncohen_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_aloncohen DistilBertForTokenClassification from AlonCohen
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_aloncohen
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_aloncohen` is a English model originally trained by AlonCohen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_aloncohen_en_5.2.0_3.0_1700623052142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_aloncohen_en_5.2.0_3.0_1700623052142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_aloncohen|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/AlonCohen/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ambreen2_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ambreen2_en.md
new file mode 100644
index 000000000000..ae2b4399079e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ambreen2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ambreen2 DistilBertForTokenClassification from Ambreen2
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ambreen2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_ambreen2` is a English model originally trained by Ambreen2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ambreen2_en_5.2.0_3.0_1700630359054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ambreen2_en_5.2.0_3.0_1700630359054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_ambreen2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Ambreen2/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_amitkayal_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_amitkayal_en.md
new file mode 100644
index 000000000000..4f64ad9be1a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_amitkayal_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_amitkayal DistilBertForTokenClassification from amitkayal
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_amitkayal
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_amitkayal` is a English model originally trained by amitkayal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_amitkayal_en_5.2.0_3.0_1700619989791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_amitkayal_en_5.2.0_3.0_1700619989791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_amitkayal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/amitkayal/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_andrewlitv_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_andrewlitv_en.md
new file mode 100644
index 000000000000..e205f814468a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_andrewlitv_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_andrewlitv DistilBertForTokenClassification from andrewlitv
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_andrewlitv
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_andrewlitv` is a English model originally trained by andrewlitv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_andrewlitv_en_5.2.0_3.0_1700650866023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_andrewlitv_en_5.2.0_3.0_1700650866023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_andrewlitv|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/andrewlitv/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_arifdknt_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_arifdknt_en.md
new file mode 100644
index 000000000000..f811936f05d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_arifdknt_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_arifdknt DistilBertForTokenClassification from ArifDKNT
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_arifdknt
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_arifdknt` is a English model originally trained by ArifDKNT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_arifdknt_en_5.2.0_3.0_1700655180738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_arifdknt_en_5.2.0_3.0_1700655180738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_arifdknt|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ArifDKNT/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ashishrag_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ashishrag_en.md
new file mode 100644
index 000000000000..dceb1ce80c64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ashishrag_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ashishrag DistilBertForTokenClassification from ashishrag
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ashishrag
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_ashishrag` is a English model originally trained by ashishrag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ashishrag_en_5.2.0_3.0_1700629514473.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ashishrag_en_5.2.0_3.0_1700629514473.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_ashishrag|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ashishrag/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_balaka92_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_balaka92_en.md
new file mode 100644
index 000000000000..98accde67bf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_balaka92_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_balaka92 DistilBertForTokenClassification from balaka92
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_balaka92
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_balaka92` is a English model originally trained by balaka92.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_balaka92_en_5.2.0_3.0_1700631433756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_balaka92_en_5.2.0_3.0_1700631433756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_balaka92|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/balaka92/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_basaanithanaveenkumar_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_basaanithanaveenkumar_en.md
new file mode 100644
index 000000000000..01235c6c667c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_basaanithanaveenkumar_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_basaanithanaveenkumar DistilBertForTokenClassification from basaanithanaveenkumar
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_basaanithanaveenkumar
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_basaanithanaveenkumar` is a English model originally trained by basaanithanaveenkumar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_basaanithanaveenkumar_en_5.2.0_3.0_1700622435372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_basaanithanaveenkumar_en_5.2.0_3.0_1700622435372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_basaanithanaveenkumar|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/basaanithanaveenkumar/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_bchaipats_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_bchaipats_en.md
new file mode 100644
index 000000000000..cdaf1b6d5610
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_bchaipats_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_bchaipats DistilBertForTokenClassification from bchaipats
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_bchaipats
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_bchaipats` is a English model originally trained by bchaipats.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_bchaipats_en_5.2.0_3.0_1700621293802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_bchaipats_en_5.2.0_3.0_1700621293802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_bchaipats|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bchaipats/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_bjfxs_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_bjfxs_en.md
new file mode 100644
index 000000000000..de372c970489
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_bjfxs_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_bjfxs DistilBertForTokenClassification from bjfxs
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_bjfxs
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_bjfxs` is a English model originally trained by bjfxs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_bjfxs_en_5.2.0_3.0_1700645596598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_bjfxs_en_5.2.0_3.0_1700645596598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_bjfxs|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/bjfxs/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_calin_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_calin_en.md
new file mode 100644
index 000000000000..d4659a5dc5b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_calin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_calin DistilBertForTokenClassification from Calin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_calin
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_calin` is a English model originally trained by Calin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_calin_en_5.2.0_3.0_1700682553313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_calin_en_5.2.0_3.0_1700682553313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_calin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Calin/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_chancar_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_chancar_en.md
new file mode 100644
index 000000000000..751a976f49e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_chancar_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_chancar DistilBertForTokenClassification from chancar
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_chancar
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_chancar` is a English model originally trained by chancar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_chancar_en_5.2.0_3.0_1700622575408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_chancar_en_5.2.0_3.0_1700622575408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_chancar|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/chancar/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_chenyixin1986_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_chenyixin1986_en.md
new file mode 100644
index 000000000000..97a6fed4a077
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_chenyixin1986_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_chenyixin1986 DistilBertForTokenClassification from chenyixin1986
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_chenyixin1986
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_chenyixin1986` is a English model originally trained by chenyixin1986.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_chenyixin1986_en_5.2.0_3.0_1700638542511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_chenyixin1986_en_5.2.0_3.0_1700638542511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_chenyixin1986|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/chenyixin1986/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_davidliu1110_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_davidliu1110_en.md
new file mode 100644
index 000000000000..c4e41804db22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_davidliu1110_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_davidliu1110 DistilBertForTokenClassification from davidliu1110
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_davidliu1110
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_davidliu1110` is a English model originally trained by davidliu1110.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_davidliu1110_en_5.2.0_3.0_1700628728296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_davidliu1110_en_5.2.0_3.0_1700628728296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_davidliu1110|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/davidliu1110/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_dingzhaohan_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_dingzhaohan_en.md
new file mode 100644
index 000000000000..65a66eda45ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_dingzhaohan_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_dingzhaohan DistilBertForTokenClassification from dingzhaohan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_dingzhaohan
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_dingzhaohan` is a English model originally trained by dingzhaohan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_dingzhaohan_en_5.2.0_3.0_1700621735276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_dingzhaohan_en_5.2.0_3.0_1700621735276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_dingzhaohan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/dingzhaohan/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_duyduong9htv_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_duyduong9htv_en.md
new file mode 100644
index 000000000000..0bafca9850d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_duyduong9htv_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_duyduong9htv DistilBertForTokenClassification from duyduong9htv
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_duyduong9htv
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_duyduong9htv` is a English model originally trained by duyduong9htv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_duyduong9htv_en_5.2.0_3.0_1700644707980.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_duyduong9htv_en_5.2.0_3.0_1700644707980.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_duyduong9htv|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/duyduong9htv/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eca1g19_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eca1g19_en.md
new file mode 100644
index 000000000000..b223d5347aff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eca1g19_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_eca1g19 DistilBertForTokenClassification from eca1g19
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_eca1g19
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_eca1g19` is a English model originally trained by eca1g19.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_eca1g19_en_5.2.0_3.0_1700648710833.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_eca1g19_en_5.2.0_3.0_1700648710833.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_eca1g19|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/eca1g19/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ecartierlipn_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ecartierlipn_en.md
new file mode 100644
index 000000000000..476a8c1ecd80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ecartierlipn_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ecartierlipn DistilBertForTokenClassification from ecartierlipn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ecartierlipn
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_ecartierlipn` is a English model originally trained by ecartierlipn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ecartierlipn_en_5.2.0_3.0_1700623397726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ecartierlipn_en_5.2.0_3.0_1700623397726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_ecartierlipn|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ecartierlipn/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eceozaydn_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eceozaydn_en.md
new file mode 100644
index 000000000000..d7b48b00e4fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eceozaydn_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_eceozaydn DistilBertForTokenClassification from eceozaydn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_eceozaydn
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_eceozaydn` is a English model originally trained by eceozaydn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_eceozaydn_en_5.2.0_3.0_1700622435449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_eceozaydn_en_5.2.0_3.0_1700622435449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_eceozaydn|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/eceozaydn/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_edmz_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_edmz_en.md
new file mode 100644
index 000000000000..2934c60f56f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_edmz_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_edmz DistilBertForTokenClassification from edmz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_edmz
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_edmz` is a English model originally trained by edmz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_edmz_en_5.2.0_3.0_1700622257530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_edmz_en_5.2.0_3.0_1700622257530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_edmz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/edmz/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_edric111_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_edric111_en.md
new file mode 100644
index 000000000000..dcf601e300dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_edric111_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_edric111 DistilBertForTokenClassification from Edric111
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_edric111
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_edric111` is a English model originally trained by Edric111.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_edric111_en_5.2.0_3.0_1700622287650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_edric111_en_5.2.0_3.0_1700622287650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_edric111|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Edric111/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eman222_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eman222_en.md
new file mode 100644
index 000000000000..def96e75cc1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eman222_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_eman222 DistilBertForTokenClassification from Eman222
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_eman222
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_eman222` is a English model originally trained by Eman222.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_eman222_en_5.2.0_3.0_1700623009432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_eman222_en_5.2.0_3.0_1700623009432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_eman222|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Eman222/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eulaliefy_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eulaliefy_en.md
new file mode 100644
index 000000000000..038c082e779f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_eulaliefy_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_eulaliefy DistilBertForTokenClassification from Eulaliefy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_eulaliefy
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_eulaliefy` is a English model originally trained by Eulaliefy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_eulaliefy_en_5.2.0_3.0_1700620409135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_eulaliefy_en_5.2.0_3.0_1700620409135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_eulaliefy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Eulaliefy/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_fadhilarkn_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_fadhilarkn_en.md
new file mode 100644
index 000000000000..5db5d14717e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_fadhilarkn_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_fadhilarkn DistilBertForTokenClassification from fadhilarkn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_fadhilarkn
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_fadhilarkn` is a English model originally trained by fadhilarkn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_fadhilarkn_en_5.2.0_3.0_1700619986427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_fadhilarkn_en_5.2.0_3.0_1700619986427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_fadhilarkn|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/fadhilarkn/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_final_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_final_en.md
new file mode 100644
index 000000000000..b9427606ba81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_final_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_final DistilBertForTokenClassification from Lilya
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_final
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_final` is a English model originally trained by Lilya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_final_en_5.2.0_3.0_1700621307604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_final_en_5.2.0_3.0_1700621307604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_final|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Lilya/distilbert-base-uncased-finetuned-ner-final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_gabrielzang_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_gabrielzang_en.md
new file mode 100644
index 000000000000..59d857a4a618
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_gabrielzang_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_gabrielzang DistilBertForTokenClassification from gabrielZang
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_gabrielzang
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_gabrielzang` is a English model originally trained by gabrielZang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_gabrielzang_en_5.2.0_3.0_1700628008313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_gabrielzang_en_5.2.0_3.0_1700628008313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_gabrielzang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/gabrielZang/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_gayatri_bt_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_gayatri_bt_en.md
new file mode 100644
index 000000000000..af4f231b1610
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_gayatri_bt_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_gayatri_bt DistilBertForTokenClassification from Gayatri-BT
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_gayatri_bt
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_gayatri_bt` is a English model originally trained by Gayatri-BT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_gayatri_bt_en_5.2.0_3.0_1700619960785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_gayatri_bt_en_5.2.0_3.0_1700619960785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_gayatri_bt|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Gayatri-BT/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_gayu_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_gayu_en.md
new file mode 100644
index 000000000000..132fbcb962ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_gayu_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_gayu DistilBertForTokenClassification from Gayu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_gayu
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_gayu` is a English model originally trained by Gayu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_gayu_en_5.2.0_3.0_1700619316191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_gayu_en_5.2.0_3.0_1700619316191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_gayu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Gayu/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_grantitdhcka_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_grantitdhcka_en.md
new file mode 100644
index 000000000000..133d7702a956
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_grantitdhcka_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_grantitdhcka DistilBertForTokenClassification from grantitdhcka
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_grantitdhcka
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_grantitdhcka` is a English model originally trained by grantitdhcka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_grantitdhcka_en_5.2.0_3.0_1700639628212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_grantitdhcka_en_5.2.0_3.0_1700639628212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_grantitdhcka|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/grantitdhcka/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_guhuawuli_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_guhuawuli_en.md
new file mode 100644
index 000000000000..8b5946a3fc23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_guhuawuli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_guhuawuli DistilBertForTokenClassification from guhuawuli
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_guhuawuli
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_guhuawuli` is a English model originally trained by guhuawuli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_guhuawuli_en_5.2.0_3.0_1700627305739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_guhuawuli_en_5.2.0_3.0_1700627305739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_guhuawuli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/guhuawuli/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_haneen77_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_haneen77_en.md
new file mode 100644
index 000000000000..cae1223ef73a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_haneen77_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_haneen77 DistilBertForTokenClassification from Haneen77
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_haneen77
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_haneen77` is a English model originally trained by Haneen77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_haneen77_en_5.2.0_3.0_1700637596812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_haneen77_en_5.2.0_3.0_1700637596812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_haneen77|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Haneen77/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_hossay_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_hossay_en.md
new file mode 100644
index 000000000000..728245f672fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_hossay_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_hossay DistilBertForTokenClassification from hossay
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_hossay
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_hossay` is a English model originally trained by hossay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_hossay_en_5.2.0_3.0_1700623511021.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_hossay_en_5.2.0_3.0_1700623511021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_hossay|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/hossay/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_huynguyen208_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_huynguyen208_en.md
new file mode 100644
index 000000000000..ee3ed92acadc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_huynguyen208_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_huynguyen208 DistilBertForTokenClassification from huynguyen208
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_huynguyen208
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_huynguyen208` is a English model originally trained by huynguyen208.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_huynguyen208_en_5.2.0_3.0_1700621151699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_huynguyen208_en_5.2.0_3.0_1700621151699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_huynguyen208|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/huynguyen208/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_isamaks_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_isamaks_en.md
new file mode 100644
index 000000000000..c6bc8aa3a0bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_isamaks_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_isamaks DistilBertForTokenClassification from IsaMaks
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_isamaks
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_isamaks` is a English model originally trained by IsaMaks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_isamaks_en_5.2.0_3.0_1700619850487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_isamaks_en_5.2.0_3.0_1700619850487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_isamaks|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/IsaMaks/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jaiti_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jaiti_en.md
new file mode 100644
index 000000000000..d4c554cf71d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jaiti_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_jaiti DistilBertForTokenClassification from Jaiti
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_jaiti
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_jaiti` is a English model originally trained by Jaiti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_jaiti_en_5.2.0_3.0_1700619934057.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_jaiti_en_5.2.0_3.0_1700619934057.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_jaiti|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|324.4 MB|
+
+## References
+
+https://huggingface.co/Jaiti/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jasminebatra_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jasminebatra_en.md
new file mode 100644
index 000000000000..fe0f8f5169c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jasminebatra_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_jasminebatra DistilBertForTokenClassification from Jasminebatra
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_jasminebatra
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_jasminebatra` is a English model originally trained by Jasminebatra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_jasminebatra_en_5.2.0_3.0_1700662987787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_jasminebatra_en_5.2.0_3.0_1700662987787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_jasminebatra|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Jasminebatra/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jb666_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jb666_en.md
new file mode 100644
index 000000000000..eeaa5e437cfe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jb666_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_jb666 DistilBertForTokenClassification from jb666
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_jb666
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_jb666` is a English model originally trained by jb666.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_jb666_en_5.2.0_3.0_1700622908419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_jb666_en_5.2.0_3.0_1700622908419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_jb666|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jb666/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jgraves_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jgraves_en.md
new file mode 100644
index 000000000000..e4773b5bf907
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_jgraves_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_jgraves DistilBertForTokenClassification from JGraves
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_jgraves
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_jgraves` is a English model originally trained by JGraves.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_jgraves_en_5.2.0_3.0_1700645046620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_jgraves_en_5.2.0_3.0_1700645046620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_jgraves|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/JGraves/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_juanmillan85_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_juanmillan85_en.md
new file mode 100644
index 000000000000..39a332285dad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_juanmillan85_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_juanmillan85 DistilBertForTokenClassification from juanmillan85
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_juanmillan85
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_juanmillan85` is a English model originally trained by juanmillan85.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_juanmillan85_en_5.2.0_3.0_1700619588797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_juanmillan85_en_5.2.0_3.0_1700619588797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_juanmillan85|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/juanmillan85/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_kdat_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_kdat_en.md
new file mode 100644
index 000000000000..f031b864b087
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_kdat_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_kdat DistilBertForTokenClassification from KDat
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_kdat
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_kdat` is a English model originally trained by KDat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_kdat_en_5.2.0_3.0_1700624893086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_kdat_en_5.2.0_3.0_1700624893086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_kdat|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/KDat/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_kinanmartin_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_kinanmartin_en.md
new file mode 100644
index 000000000000..fdc2cb156e3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_kinanmartin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_kinanmartin DistilBertForTokenClassification from kinanmartin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_kinanmartin
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_kinanmartin` is a English model originally trained by kinanmartin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_kinanmartin_en_5.2.0_3.0_1700624694532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_kinanmartin_en_5.2.0_3.0_1700624694532.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_kinanmartin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/kinanmartin/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_kisma_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_kisma_en.md
new file mode 100644
index 000000000000..b94f14005d3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_kisma_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_kisma DistilBertForTokenClassification from kisma
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_kisma
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_kisma` is a English model originally trained by kisma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_kisma_en_5.2.0_3.0_1700656664072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_kisma_en_5.2.0_3.0_1700656664072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_kisma|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/kisma/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_krag57_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_krag57_en.md
new file mode 100644
index 000000000000..10785b0ff4b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_krag57_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_krag57 DistilBertForTokenClassification from krag57
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_krag57
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_krag57` is a English model originally trained by krag57.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_krag57_en_5.2.0_3.0_1700649069740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_krag57_en_5.2.0_3.0_1700649069740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_krag57|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/krag57/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_linh101201_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_linh101201_en.md
new file mode 100644
index 000000000000..34694faea92e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_linh101201_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_linh101201 DistilBertForTokenClassification from linh101201
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_linh101201
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_linh101201` is a English model originally trained by linh101201.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_linh101201_en_5.2.0_3.0_1700669929943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_linh101201_en_5.2.0_3.0_1700669929943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_linh101201|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.7 MB|
+
+## References
+
+https://huggingface.co/linh101201/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_longxiang_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_longxiang_en.md
new file mode 100644
index 000000000000..16a067978f4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_longxiang_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_longxiang DistilBertForTokenClassification from Longxiang
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_longxiang
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_longxiang` is a English model originally trained by Longxiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_longxiang_en_5.2.0_3.0_1700647431751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_longxiang_en_5.2.0_3.0_1700647431751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_longxiang|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Longxiang/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_luciferlizard_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_luciferlizard_en.md
new file mode 100644
index 000000000000..1e8d773519a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_luciferlizard_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_luciferlizard DistilBertForTokenClassification from luciferlizard
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_luciferlizard
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_luciferlizard` is a English model originally trained by luciferlizard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_luciferlizard_en_5.2.0_3.0_1700622069940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_luciferlizard_en_5.2.0_3.0_1700622069940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_luciferlizard|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/luciferlizard/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mandur_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mandur_en.md
new file mode 100644
index 000000000000..f740a012090c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mandur_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mandur DistilBertForTokenClassification from Mandur
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mandur
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mandur` is a English model originally trained by Mandur.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mandur_en_5.2.0_3.0_1700621449118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mandur_en_5.2.0_3.0_1700621449118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mandur|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Mandur/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mankness_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mankness_en.md
new file mode 100644
index 000000000000..0d5f123e54f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mankness_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mankness DistilBertForTokenClassification from mankness
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mankness
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mankness` is a English model originally trained by mankness.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mankness_en_5.2.0_3.0_1700636014108.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mankness_en_5.2.0_3.0_1700636014108.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mankness|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mankness/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mariahabib_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mariahabib_en.md
new file mode 100644
index 000000000000..17fb769aeb46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mariahabib_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mariahabib DistilBertForTokenClassification from MariaHabib
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mariahabib
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mariahabib` is a English model originally trained by MariaHabib.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mariahabib_en_5.2.0_3.0_1700641179734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mariahabib_en_5.2.0_3.0_1700641179734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mariahabib|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/MariaHabib/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mdcox_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mdcox_en.md
new file mode 100644
index 000000000000..b3755d853d97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mdcox_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mdcox DistilBertForTokenClassification from mdcox
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mdcox
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mdcox` is a English model originally trained by mdcox.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mdcox_en_5.2.0_3.0_1700620131276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mdcox_en_5.2.0_3.0_1700620131276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mdcox|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mdcox/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_michelebern_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_michelebern_en.md
new file mode 100644
index 000000000000..7881df9e6f6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_michelebern_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_michelebern DistilBertForTokenClassification from michelebern
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_michelebern
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_michelebern` is a English model originally trained by michelebern.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_michelebern_en_5.2.0_3.0_1700636590720.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_michelebern_en_5.2.0_3.0_1700636590720.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_michelebern|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/michelebern/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mingyangli_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mingyangli_en.md
new file mode 100644
index 000000000000..92fbb3cd38d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mingyangli_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mingyangli DistilBertForTokenClassification from MingyangLi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mingyangli
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mingyangli` is a English model originally trained by MingyangLi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mingyangli_en_5.2.0_3.0_1700625483464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mingyangli_en_5.2.0_3.0_1700625483464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mingyangli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/MingyangLi/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mke10_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mke10_en.md
new file mode 100644
index 000000000000..b45c7416d14c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mke10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mke10 DistilBertForTokenClassification from mke10
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mke10
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mke10` is a English model originally trained by mke10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mke10_en_5.2.0_3.0_1700656143750.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mke10_en_5.2.0_3.0_1700656143750.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mke10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mke10/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mo7amed3ly_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mo7amed3ly_en.md
new file mode 100644
index 000000000000..34155112d865
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mo7amed3ly_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mo7amed3ly DistilBertForTokenClassification from mo7amed3ly
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mo7amed3ly
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mo7amed3ly` is a English model originally trained by mo7amed3ly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mo7amed3ly_en_5.2.0_3.0_1700619597202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mo7amed3ly_en_5.2.0_3.0_1700619597202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mo7amed3ly|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mo7amed3ly/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_morganchen1007_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_morganchen1007_en.md
new file mode 100644
index 000000000000..ab9c447591d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_morganchen1007_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_morganchen1007 DistilBertForTokenClassification from morganchen1007
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_morganchen1007
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_morganchen1007` is a English model originally trained by morganchen1007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_morganchen1007_en_5.2.0_3.0_1700621735325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_morganchen1007_en_5.2.0_3.0_1700621735325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_morganchen1007|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/morganchen1007/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mssjoyy_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mssjoyy_en.md
new file mode 100644
index 000000000000..5a53bad150e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_mssjoyy_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_mssjoyy DistilBertForTokenClassification from mssjoyy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_mssjoyy
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_mssjoyy` is a English model originally trained by mssjoyy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mssjoyy_en_5.2.0_3.0_1700621459450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_mssjoyy_en_5.2.0_3.0_1700621459450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_mssjoyy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mssjoyy/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_murdockthedude_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_murdockthedude_en.md
new file mode 100644
index 000000000000..30427310aa73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_murdockthedude_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_murdockthedude DistilBertForTokenClassification from murdockthedude
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_murdockthedude
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_murdockthedude` is a English model originally trained by murdockthedude.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_murdockthedude_en_5.2.0_3.0_1700623662803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_murdockthedude_en_5.2.0_3.0_1700623662803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_murdockthedude|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/murdockthedude/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nerea06_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nerea06_en.md
new file mode 100644
index 000000000000..00a420617405
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nerea06_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_nerea06 DistilBertForTokenClassification from Nerea06
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_nerea06
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_nerea06` is a English model originally trained by Nerea06.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nerea06_en_5.2.0_3.0_1700636721690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nerea06_en_5.2.0_3.0_1700636721690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_nerea06|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Nerea06/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nestoralvaro_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nestoralvaro_en.md
new file mode 100644
index 000000000000..0bb16785714b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nestoralvaro_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_nestoralvaro DistilBertForTokenClassification from nestoralvaro
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_nestoralvaro
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_nestoralvaro` is a English model originally trained by nestoralvaro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nestoralvaro_en_5.2.0_3.0_1700620244219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nestoralvaro_en_5.2.0_3.0_1700620244219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_nestoralvaro|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/nestoralvaro/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nicgh3_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nicgh3_en.md
new file mode 100644
index 000000000000..34a15105764d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nicgh3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_nicgh3 DistilBertForTokenClassification from nicgh3
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_nicgh3
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_nicgh3` is a English model originally trained by nicgh3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nicgh3_en_5.2.0_3.0_1700643786499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nicgh3_en_5.2.0_3.0_1700643786499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_nicgh3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/nicgh3/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nlp_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nlp_en.md
new file mode 100644
index 000000000000..840e52df122d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nlp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_nlp DistilBertForTokenClassification from thomasfm
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_nlp
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_nlp` is a English model originally trained by thomasfm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nlp_en_5.2.0_3.0_1700622424262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nlp_en_5.2.0_3.0_1700622424262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_nlp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/thomasfm/distilbert-base-uncased-finetuned-ner-nlp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_noura_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_noura_en.md
new file mode 100644
index 000000000000..038728690079
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_noura_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_noura DistilBertForTokenClassification from Noura
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_noura
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_noura` is a English model originally trained by Noura.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_noura_en_5.2.0_3.0_1700622729790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_noura_en_5.2.0_3.0_1700622729790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_noura|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Noura/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_novik_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_novik_en.md
new file mode 100644
index 000000000000..a703c51f6ec0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_novik_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_novik DistilBertForTokenClassification from Novik
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_novik
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_novik` is a English model originally trained by Novik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_novik_en_5.2.0_3.0_1700661180485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_novik_en_5.2.0_3.0_1700661180485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_novik|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Novik/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nsandra_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nsandra_en.md
new file mode 100644
index 000000000000..043e887e2671
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_nsandra_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_nsandra DistilBertForTokenClassification from NSandra
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_nsandra
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_nsandra` is a English model originally trained by NSandra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nsandra_en_5.2.0_3.0_1700622113789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nsandra_en_5.2.0_3.0_1700622113789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_nsandra|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/NSandra/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_orthogonal_orca_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_orthogonal_orca_en.md
new file mode 100644
index 000000000000..ba72baed2937
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_orthogonal_orca_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_orthogonal_orca DistilBertForTokenClassification from orthogonal-orca
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_orthogonal_orca
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_orthogonal_orca` is a English model originally trained by orthogonal-orca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_orthogonal_orca_en_5.2.0_3.0_1700647815174.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_orthogonal_orca_en_5.2.0_3.0_1700647815174.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_orthogonal_orca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/orthogonal-orca/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_oscarhoekstra_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_oscarhoekstra_en.md
new file mode 100644
index 000000000000..7943a791f14c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_oscarhoekstra_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_oscarhoekstra DistilBertForTokenClassification from OscarHoekstra
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_oscarhoekstra
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_oscarhoekstra` is a English model originally trained by OscarHoekstra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_oscarhoekstra_en_5.2.0_3.0_1700619861617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_oscarhoekstra_en_5.2.0_3.0_1700619861617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_oscarhoekstra|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/OscarHoekstra/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_pha_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_pha_en.md
new file mode 100644
index 000000000000..e6237bcedcab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_pha_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_pha DistilBertForTokenClassification from Calin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_pha
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_pha` is a English model originally trained by Calin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_pha_en_5.2.0_3.0_1700667789626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_pha_en_5.2.0_3.0_1700667789626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_pha|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Calin/distilbert-base-uncased-finetuned-ner-pha
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_pitronalldak_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_pitronalldak_en.md
new file mode 100644
index 000000000000..343b3bd00306
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_pitronalldak_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_pitronalldak DistilBertForTokenClassification from pitronalldak
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_pitronalldak
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_pitronalldak` is a English model originally trained by pitronalldak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_pitronalldak_en_5.2.0_3.0_1700619596582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_pitronalldak_en_5.2.0_3.0_1700619596582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_pitronalldak|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/pitronalldak/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_pivolan_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_pivolan_en.md
new file mode 100644
index 000000000000..34235673480c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_pivolan_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_pivolan DistilBertForTokenClassification from pivolan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_pivolan
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_pivolan` is a English model originally trained by pivolan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_pivolan_en_5.2.0_3.0_1700659352853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_pivolan_en_5.2.0_3.0_1700659352853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_pivolan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/pivolan/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_qingm_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_qingm_en.md
new file mode 100644
index 000000000000..329b9afeec06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_qingm_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_qingm DistilBertForTokenClassification from qingm
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_qingm
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_qingm` is a English model originally trained by qingm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_qingm_en_5.2.0_3.0_1700629575116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_qingm_en_5.2.0_3.0_1700629575116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_qingm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/qingm/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ravenk_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ravenk_en.md
new file mode 100644
index 000000000000..ccf79f7030f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ravenk_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ravenk DistilBertForTokenClassification from RavenK
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ravenk
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_ravenk` is a English model originally trained by RavenK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ravenk_en_5.2.0_3.0_1700620133773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ravenk_en_5.2.0_3.0_1700620133773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_ravenk|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/RavenK/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_rebeccakoganlee_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_rebeccakoganlee_en.md
new file mode 100644
index 000000000000..1a45ba344266
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_rebeccakoganlee_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_rebeccakoganlee DistilBertForTokenClassification from rebeccakoganlee
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_rebeccakoganlee
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_rebeccakoganlee` is a English model originally trained by rebeccakoganlee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_rebeccakoganlee_en_5.2.0_3.0_1700630413538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_rebeccakoganlee_en_5.2.0_3.0_1700630413538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_rebeccakoganlee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/rebeccakoganlee/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_reugene_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_reugene_en.md
new file mode 100644
index 000000000000..809207184062
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_reugene_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_reugene DistilBertForTokenClassification from reugene
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_reugene
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_reugene` is a English model originally trained by reugene.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_reugene_en_5.2.0_3.0_1700658076877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_reugene_en_5.2.0_3.0_1700658076877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_reugene|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/reugene/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_rockyend_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_rockyend_en.md
new file mode 100644
index 000000000000..a87d90d9842e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_rockyend_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_rockyend DistilBertForTokenClassification from rockyend
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_rockyend
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_rockyend` is a English model originally trained by rockyend.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_rockyend_en_5.2.0_3.0_1700623991747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_rockyend_en_5.2.0_3.0_1700623991747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_rockyend|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rockyend/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_rohanv123_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_rohanv123_en.md
new file mode 100644
index 000000000000..05e4be7d3a10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_rohanv123_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_rohanv123 DistilBertForTokenClassification from rohanv123
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_rohanv123
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_rohanv123` is a English model originally trained by rohanv123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_rohanv123_en_5.2.0_3.0_1700678530625.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_rohanv123_en_5.2.0_3.0_1700678530625.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_rohanv123|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rohanv123/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_roschmid_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_roschmid_en.md
new file mode 100644
index 000000000000..2efa7be70019
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_roschmid_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_roschmid DistilBertForTokenClassification from roschmid
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_roschmid
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_roschmid` is a English model originally trained by roschmid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_roschmid_en_5.2.0_3.0_1700623215628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_roschmid_en_5.2.0_3.0_1700623215628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_roschmid|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/roschmid/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_saideekshith_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_saideekshith_en.md
new file mode 100644
index 000000000000..7e12bbca2695
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_saideekshith_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_saideekshith DistilBertForTokenClassification from saideekshith
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_saideekshith
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_saideekshith` is a English model originally trained by saideekshith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_saideekshith_en_5.2.0_3.0_1700619645740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_saideekshith_en_5.2.0_3.0_1700619645740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_saideekshith|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/saideekshith/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_sajib2023_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_sajib2023_en.md
new file mode 100644
index 000000000000..27b206589180
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_sajib2023_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_sajib2023 DistilBertForTokenClassification from Sajib2023
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_sajib2023
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_sajib2023` is a English model originally trained by Sajib2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sajib2023_en_5.2.0_3.0_1700623374317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sajib2023_en_5.2.0_3.0_1700623374317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_sajib2023|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Sajib2023/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_samake_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_samake_en.md
new file mode 100644
index 000000000000..818ee6e709e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_samake_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_samake DistilBertForTokenClassification from samake
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_samake
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_samake` is a English model originally trained by samake.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_samake_en_5.2.0_3.0_1700624518898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_samake_en_5.2.0_3.0_1700624518898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_samake|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/samake/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_samih1974_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_samih1974_en.md
new file mode 100644
index 000000000000..3e76604feb9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_samih1974_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_samih1974 DistilBertForTokenClassification from samih1974
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_samih1974
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_samih1974` is a English model originally trained by samih1974.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_samih1974_en_5.2.0_3.0_1700675746344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_samih1974_en_5.2.0_3.0_1700675746344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_samih1974|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/samih1974/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_savlron_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_savlron_en.md
new file mode 100644
index 000000000000..d1e2fa0e07fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_savlron_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_savlron DistilBertForTokenClassification from Savlron
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_savlron
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_savlron` is a English model originally trained by Savlron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_savlron_en_5.2.0_3.0_1700620974421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_savlron_en_5.2.0_3.0_1700620974421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_savlron|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Savlron/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_seawolf_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_seawolf_en.md
new file mode 100644
index 000000000000..d2679c6b4074
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_seawolf_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_seawolf DistilBertForTokenClassification from Seawolf
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_seawolf
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_seawolf` is a English model originally trained by Seawolf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_seawolf_en_5.2.0_3.0_1700620567512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_seawolf_en_5.2.0_3.0_1700620567512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_seawolf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Seawolf/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_shulim_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_shulim_en.md
new file mode 100644
index 000000000000..6d1e18b2d6c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_shulim_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_shulim DistilBertForTokenClassification from shulim
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_shulim
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_shulim` is a English model originally trained by shulim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_shulim_en_5.2.0_3.0_1700622722428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_shulim_en_5.2.0_3.0_1700622722428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_shulim|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/shulim/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_slhoefel_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_slhoefel_en.md
new file mode 100644
index 000000000000..007ef5ded2ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_slhoefel_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_slhoefel DistilBertForTokenClassification from slhoefel
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_slhoefel
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_slhoefel` is a English model originally trained by slhoefel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_slhoefel_en_5.2.0_3.0_1700658076909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_slhoefel_en_5.2.0_3.0_1700658076909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_slhoefel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/slhoefel/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_snailpoo_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_snailpoo_en.md
new file mode 100644
index 000000000000..09e386910762
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_snailpoo_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_snailpoo DistilBertForTokenClassification from SnailPoo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_snailpoo
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_snailpoo` is a English model originally trained by SnailPoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_snailpoo_en_5.2.0_3.0_1700619720166.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_snailpoo_en_5.2.0_3.0_1700619720166.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_snailpoo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/SnailPoo/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_srosy_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_srosy_en.md
new file mode 100644
index 000000000000..9a85220d6042
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_srosy_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_srosy DistilBertForTokenClassification from srosy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_srosy
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_srosy` is a English model originally trained by srosy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_srosy_en_5.2.0_3.0_1700619276319.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_srosy_en_5.2.0_3.0_1700619276319.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_srosy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/srosy/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_sultanithree_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_sultanithree_en.md
new file mode 100644
index 000000000000..c1417aef2fc0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_sultanithree_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_sultanithree DistilBertForTokenClassification from sultanithree
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_sultanithree
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_sultanithree` is a English model originally trained by sultanithree.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sultanithree_en_5.2.0_3.0_1700622430404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sultanithree_en_5.2.0_3.0_1700622430404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_sultanithree|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sultanithree/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_sumanc_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_sumanc_en.md
new file mode 100644
index 000000000000..0f69b4e158cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_sumanc_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_sumanc DistilBertForTokenClassification from sumanc
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_sumanc
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_sumanc` is a English model originally trained by sumanc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sumanc_en_5.2.0_3.0_1700656177204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sumanc_en_5.2.0_3.0_1700656177204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_sumanc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sumanc/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_suwani_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_suwani_en.md
new file mode 100644
index 000000000000..fb4098ff32ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_suwani_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_suwani DistilBertForTokenClassification from suwani
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_suwani
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_suwani` is a English model originally trained by suwani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_suwani_en_5.2.0_3.0_1700621730557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_suwani_en_5.2.0_3.0_1700621730557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_suwani|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/suwani/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_taehyunzzz_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_taehyunzzz_en.md
new file mode 100644
index 000000000000..88d6bc6e00fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_taehyunzzz_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_taehyunzzz DistilBertForTokenClassification from taehyunzzz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_taehyunzzz
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_taehyunzzz` is a English model originally trained by taehyunzzz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_taehyunzzz_en_5.2.0_3.0_1700619732824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_taehyunzzz_en_5.2.0_3.0_1700619732824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_taehyunzzz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/taehyunzzz/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thanhnguyenvn_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thanhnguyenvn_en.md
new file mode 100644
index 000000000000..ee8384366733
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thanhnguyenvn_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_thanhnguyenvn DistilBertForTokenClassification from thanhnguyenvn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_thanhnguyenvn
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_thanhnguyenvn` is a English model originally trained by thanhnguyenvn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_thanhnguyenvn_en_5.2.0_3.0_1700621587554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_thanhnguyenvn_en_5.2.0_3.0_1700621587554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_thanhnguyenvn|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/thanhnguyenvn/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thearif_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thearif_en.md
new file mode 100644
index 000000000000..8a4184aae66e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thearif_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_thearif DistilBertForTokenClassification from theArif
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_thearif
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_thearif` is a English model originally trained by theArif.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_thearif_en_5.2.0_3.0_1700624117716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_thearif_en_5.2.0_3.0_1700624117716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_thearif|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/theArif/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thivin_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thivin_en.md
new file mode 100644
index 000000000000..112ab844c965
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thivin_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_thivin DistilBertForTokenClassification from Thivin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_thivin
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_thivin` is a English model originally trained by Thivin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_thivin_en_5.2.0_3.0_1700623070055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_thivin_en_5.2.0_3.0_1700623070055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_thivin|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Thivin/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thomaszz_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thomaszz_en.md
new file mode 100644
index 000000000000..0d64c760a2a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thomaszz_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_thomaszz DistilBertForTokenClassification from thomaszz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_thomaszz
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_thomaszz` is a English model originally trained by thomaszz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_thomaszz_en_5.2.0_3.0_1700619439214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_thomaszz_en_5.2.0_3.0_1700619439214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_thomaszz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/thomaszz/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thun11_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thun11_en.md
new file mode 100644
index 000000000000..bdd9083f8f02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_thun11_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_thun11 DistilBertForTokenClassification from Thun11
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_thun11
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_thun11` is a English model originally trained by Thun11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_thun11_en_5.2.0_3.0_1700670043012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_thun11_en_5.2.0_3.0_1700670043012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_thun11|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Thun11/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_tiennvcs_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_tiennvcs_en.md
new file mode 100644
index 000000000000..8d94bb1ba08a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_tiennvcs_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_tiennvcs DistilBertForTokenClassification from tiennvcs
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_tiennvcs
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_tiennvcs` is a English model originally trained by tiennvcs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_tiennvcs_en_5.2.0_3.0_1700622182753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_tiennvcs_en_5.2.0_3.0_1700622182753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_tiennvcs|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/tiennvcs/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_tingting_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_tingting_en.md
new file mode 100644
index 000000000000..796bec13e413
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_tingting_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_tingting DistilBertForTokenClassification from tingting
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_tingting
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_tingting` is a English model originally trained by tingting.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_tingting_en_5.2.0_3.0_1700623991769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_tingting_en_5.2.0_3.0_1700623991769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_tingting|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/tingting/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_tjklein_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_tjklein_en.md
new file mode 100644
index 000000000000..374688a54020
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_tjklein_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_tjklein DistilBertForTokenClassification from TJKlein
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_tjklein
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_tjklein` is a English model originally trained by TJKlein.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_tjklein_en_5.2.0_3.0_1700623814558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_tjklein_en_5.2.0_3.0_1700623814558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_tjklein|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/TJKlein/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_turhana_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_turhana_en.md
new file mode 100644
index 000000000000..618f3dd8be07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_turhana_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_turhana DistilBertForTokenClassification from turhana
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_turhana
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_turhana` is a English model originally trained by turhana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_turhana_en_5.2.0_3.0_1700662077828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_turhana_en_5.2.0_3.0_1700662077828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_turhana|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/turhana/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ueb1_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ueb1_en.md
new file mode 100644
index 000000000000..c70e2ff1d1e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_ueb1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ueb1 DistilBertForTokenClassification from ueb1
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ueb1
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_ueb1` is a English model originally trained by ueb1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ueb1_en_5.2.0_3.0_1700620556557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ueb1_en_5.2.0_3.0_1700620556557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_ueb1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ueb1/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vaillant_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vaillant_en.md
new file mode 100644
index 000000000000..42ea93bbf250
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vaillant_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_vaillant DistilBertForTokenClassification from vaillant
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_vaillant
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_vaillant` is a English model originally trained by vaillant.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vaillant_en_5.2.0_3.0_1700631433756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vaillant_en_5.2.0_3.0_1700631433756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_vaillant|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vaillant/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_valeriulacatusu_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_valeriulacatusu_en.md
new file mode 100644
index 000000000000..afaa602cc925
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_valeriulacatusu_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_valeriulacatusu DistilBertForTokenClassification from valeriulacatusu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_valeriulacatusu
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_valeriulacatusu` is a English model originally trained by valeriulacatusu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_valeriulacatusu_en_5.2.0_3.0_1700631589355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_valeriulacatusu_en_5.2.0_3.0_1700631589355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_valeriulacatusu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/valeriulacatusu/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vijays2_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vijays2_en.md
new file mode 100644
index 000000000000..0e3adae235a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vijays2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_vijays2 DistilBertForTokenClassification from vijays2
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_vijays2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_vijays2` is a English model originally trained by vijays2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vijays2_en_5.2.0_3.0_1700655181238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vijays2_en_5.2.0_3.0_1700655181238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_vijays2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vijays2/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vikasaeta_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vikasaeta_en.md
new file mode 100644
index 000000000000..d986b5278fd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vikasaeta_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_vikasaeta DistilBertForTokenClassification from vikasaeta
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_vikasaeta
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_vikasaeta` is a English model originally trained by vikasaeta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vikasaeta_en_5.2.0_3.0_1700619442231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vikasaeta_en_5.2.0_3.0_1700619442231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_vikasaeta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/vikasaeta/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vincenzodeleo_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vincenzodeleo_en.md
new file mode 100644
index 000000000000..006a8e828f9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vincenzodeleo_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_vincenzodeleo DistilBertForTokenClassification from vincenzodeleo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_vincenzodeleo
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_vincenzodeleo` is a English model originally trained by vincenzodeleo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vincenzodeleo_en_5.2.0_3.0_1700629488286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vincenzodeleo_en_5.2.0_3.0_1700629488286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_vincenzodeleo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vincenzodeleo/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vutt_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vutt_en.md
new file mode 100644
index 000000000000..9b43c1cedaa1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_vutt_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_vutt DistilBertForTokenClassification from vutt
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_vutt
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_vutt` is a English model originally trained by vutt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vutt_en_5.2.0_3.0_1700637864521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_vutt_en_5.2.0_3.0_1700637864521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_vutt|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vutt/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_xsf_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_xsf_en.md
new file mode 100644
index 000000000000..5426d82a4672
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_xsf_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_xsf DistilBertForTokenClassification from XSF
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_xsf
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_xsf` is a English model originally trained by XSF.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_xsf_en_5.2.0_3.0_1700653836078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_xsf_en_5.2.0_3.0_1700653836078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_xsf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/XSF/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_yilingwawa_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_yilingwawa_en.md
new file mode 100644
index 000000000000..b75dd3e14aec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_yilingwawa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_yilingwawa DistilBertForTokenClassification from yilingwawa
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_yilingwawa
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_yilingwawa` is a English model originally trained by yilingwawa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_yilingwawa_en_5.2.0_3.0_1700640413562.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_yilingwawa_en_5.2.0_3.0_1700640413562.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_yilingwawa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/yilingwawa/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_yilmazasl_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_yilmazasl_en.md
new file mode 100644
index 000000000000..3526d0f8369e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_yilmazasl_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_yilmazasl DistilBertForTokenClassification from yilmazasl
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_yilmazasl
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_yilmazasl` is a English model originally trained by yilmazasl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_yilmazasl_en_5.2.0_3.0_1700659871073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_yilmazasl_en_5.2.0_3.0_1700659871073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_yilmazasl|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/yilmazasl/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_yougottheswag_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_yougottheswag_en.md
new file mode 100644
index 000000000000..0f42232c8ae4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_yougottheswag_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_yougottheswag DistilBertForTokenClassification from yougottheswag
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_yougottheswag
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_yougottheswag` is a English model originally trained by yougottheswag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_yougottheswag_en_5.2.0_3.0_1700629643704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_yougottheswag_en_5.2.0_3.0_1700629643704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_yougottheswag|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/yougottheswag/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_zakria_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_zakria_en.md
new file mode 100644
index 000000000000..0633fd2e30aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_zakria_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_zakria DistilBertForTokenClassification from zakria
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_zakria
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_zakria` is a English model originally trained by zakria.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_zakria_en_5.2.0_3.0_1700652125256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_zakria_en_5.2.0_3.0_1700652125256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_zakria|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/zakria/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_zald_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_zald_en.md
new file mode 100644
index 000000000000..914771546d11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_ner_zald_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_zald DistilBertForTokenClassification from zald
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_zald
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_ner_zald` is a English model originally trained by zald.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_zald_en_5.2.0_3.0_1700621329430.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_zald_en_5.2.0_3.0_1700621329430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_zald|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/zald/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_recruitment_eval_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_recruitment_eval_en.md
new file mode 100644
index 000000000000..f2c35acb2105
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_recruitment_eval_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_recruitment_eval DistilBertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_recruitment_eval
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_recruitment_eval` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_recruitment_eval_en_5.2.0_3.0_1700656485657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_recruitment_eval_en_5.2.0_3.0_1700656485657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_recruitment_eval|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/distilbert-base-uncased-finetuned-recruitment-eval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_recruitment_exp_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_recruitment_exp_en.md
new file mode 100644
index 000000000000..4a78e716ede0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_recruitment_exp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_recruitment_exp DistilBertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_recruitment_exp
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_recruitment_exp` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_recruitment_exp_en_5.2.0_3.0_1700620083065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_recruitment_exp_en_5.2.0_3.0_1700620083065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_recruitment_exp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/distilbert-base-uncased-finetuned-recruitment-exp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_sayula_popoluca_arygx_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_sayula_popoluca_arygx_en.md
new file mode 100644
index 000000000000..6edfd3e71cbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_sayula_popoluca_arygx_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sayula_popoluca_arygx DistilBertForTokenClassification from arygx
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sayula_popoluca_arygx
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_sayula_popoluca_arygx` is a English model originally trained by arygx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sayula_popoluca_arygx_en_5.2.0_3.0_1700621131518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sayula_popoluca_arygx_en_5.2.0_3.0_1700621131518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sayula_popoluca_arygx|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/arygx/distilbert-base-uncased-finetuned-pos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_scientific_exp_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_scientific_exp_en.md
new file mode 100644
index 000000000000..9c6d5678a991
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_finetuned_scientific_exp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_scientific_exp DistilBertForTokenClassification from reyhanemyr
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_scientific_exp
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_scientific_exp` is a English model originally trained by reyhanemyr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_scientific_exp_en_5.2.0_3.0_1700630933301.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_scientific_exp_en_5.2.0_3.0_1700630933301.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_scientific_exp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/reyhanemyr/distilbert-base-uncased-finetuned-scientific-exp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_marfinbirt_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_marfinbirt_en.md
new file mode 100644
index 000000000000..7b2f6c5299fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_marfinbirt_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_marfinbirt DistilBertForTokenClassification from marfinbirt
+author: John Snow Labs
+name: distilbert_base_uncased_marfinbirt
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_marfinbirt` is a English model originally trained by marfinbirt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_marfinbirt_en_5.2.0_3.0_1700662053303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_marfinbirt_en_5.2.0_3.0_1700662053303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_marfinbirt|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/marfinbirt/distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_mlm_scirepeval_fos_chemistry_tokencls_battery_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_mlm_scirepeval_fos_chemistry_tokencls_battery_en.md
new file mode 100644
index 000000000000..324eda35f09f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_mlm_scirepeval_fos_chemistry_tokencls_battery_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_mlm_scirepeval_fos_chemistry_tokencls_battery DistilBertForTokenClassification from jonas-luehrs
+author: John Snow Labs
+name: distilbert_base_uncased_mlm_scirepeval_fos_chemistry_tokencls_battery
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_mlm_scirepeval_fos_chemistry_tokencls_battery` is a English model originally trained by jonas-luehrs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mlm_scirepeval_fos_chemistry_tokencls_battery_en_5.2.0_3.0_1700642091089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_mlm_scirepeval_fos_chemistry_tokencls_battery_en_5.2.0_3.0_1700642091089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_mlm_scirepeval_fos_chemistry_tokencls_battery|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jonas-luehrs/distilbert-base-uncased-MLM-scirepeval_fos_chemistry-tokenCLS-BATTERY
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_17_02_23_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_17_02_23_en.md
new file mode 100644
index 000000000000..f1817230697e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_17_02_23_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_17_02_23 DistilBertForTokenClassification from Lilya
+author: John Snow Labs
+name: distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_17_02_23
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_17_02_23` is a English model originally trained by Lilya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_17_02_23_en_5.2.0_3.0_1700622698988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_17_02_23_en_5.2.0_3.0_1700622698988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_17_02_23|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Lilya/distilbert-base-uncased-ner-invoiceSenderRecipient_all_inv_17_02_23
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_20_02_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_20_02_en.md
new file mode 100644
index 000000000000..a05686be6699
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_20_02_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_20_02 DistilBertForTokenClassification from Lilya
+author: John Snow Labs
+name: distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_20_02
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_20_02` is a English model originally trained by Lilya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_20_02_en_5.2.0_3.0_1700620978485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_20_02_en_5.2.0_3.0_1700620978485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_20_02|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Lilya/distilbert-base-uncased-ner-invoiceSenderRecipient_all_inv_20_02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_26_12_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_26_12_en.md
new file mode 100644
index 000000000000..94217eb08374
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_26_12_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_26_12 DistilBertForTokenClassification from Lilya
+author: John Snow Labs
+name: distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_26_12
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_26_12` is a English model originally trained by Lilya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_26_12_en_5.2.0_3.0_1700620114735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_26_12_en_5.2.0_3.0_1700620114735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_invoicesenderrecipient_all_inv_26_12|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Lilya/distilbert-base-uncased-ner-invoiceSenderRecipient-all-inv-26-12
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_28_02_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_28_02_en.md
new file mode 100644
index 000000000000..7d25ea9641b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_28_02_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_28_02 DistilBertForTokenClassification from Lilya
+author: John Snow Labs
+name: distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_28_02
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_28_02` is a English model originally trained by Lilya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_28_02_en_5.2.0_3.0_1700623240674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_28_02_en_5.2.0_3.0_1700623240674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ner_invoicesenderrecipient_clean_inv_28_02|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Lilya/distilbert-base-uncased-ner-invoiceSenderRecipient_clean_inv_28_02
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_test2_jethuestad_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_test2_jethuestad_en.md
new file mode 100644
index 000000000000..12f1f5597195
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_test2_jethuestad_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_test2_jethuestad DistilBertForTokenClassification from Jethuestad
+author: John Snow Labs
+name: distilbert_base_uncased_test2_jethuestad
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_test2_jethuestad` is a English model originally trained by Jethuestad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_test2_jethuestad_en_5.2.0_3.0_1700621263643.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_test2_jethuestad_en_5.2.0_3.0_1700621263643.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_test2_jethuestad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Jethuestad/distilbert-base-uncased-test2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ui_chope_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ui_chope_en.md
new file mode 100644
index 000000000000..5e2a703e9cee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_ui_chope_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_ui_chope DistilBertForTokenClassification from ui-chope
+author: John Snow Labs
+name: distilbert_base_uncased_ui_chope
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ui_chope` is a English model originally trained by ui-chope.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ui_chope_en_5.2.0_3.0_1700620865874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ui_chope_en_5.2.0_3.0_1700620865874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_ui_chope|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ui-chope/distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_un_huongle_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_un_huongle_en.md
new file mode 100644
index 000000000000..98d1270f0ba4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_base_uncased_un_huongle_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_un_huongle DistilBertForTokenClassification from Thi-Thu-Huong
+author: John Snow Labs
+name: distilbert_base_uncased_un_huongle
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_un_huongle` is a English model originally trained by Thi-Thu-Huong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_un_huongle_en_5.2.0_3.0_1700625504667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_un_huongle_en_5.2.0_3.0_1700625504667.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_un_huongle|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Thi-Thu-Huong/distilbert-base-uncased-UN-huongle
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_binary_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_binary_en.md
new file mode 100644
index 000000000000..aa4ccf2c7325
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_binary_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_binary DistilBertForTokenClassification from troesy
+author: John Snow Labs
+name: distilbert_binary
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_binary` is a English model originally trained by troesy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_binary_en_5.2.0_3.0_1700623987240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_binary_en_5.2.0_3.0_1700623987240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_binary|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/troesy/distilBERT-binary
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_bio_pv_superset_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_bio_pv_superset_en.md
new file mode 100644
index 000000000000..480203260dfc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_bio_pv_superset_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_bio_pv_superset DistilBertForTokenClassification from commanderstrife
+author: John Snow Labs
+name: distilbert_bio_pv_superset
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_bio_pv_superset` is a English model originally trained by commanderstrife.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_bio_pv_superset_en_5.2.0_3.0_1700637596883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_bio_pv_superset_en_5.2.0_3.0_1700637596883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_bio_pv_superset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/commanderstrife/distilBERT_bio_pv_superset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_bpmn_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_bpmn_en.md
new file mode 100644
index 000000000000..ae7390114d81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_bpmn_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_bpmn DistilBertForTokenClassification from jtlicardo
+author: John Snow Labs
+name: distilbert_bpmn
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_bpmn` is a English model originally trained by jtlicardo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_bpmn_en_5.2.0_3.0_1700619288022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_bpmn_en_5.2.0_3.0_1700619288022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_bpmn|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/jtlicardo/distilbert-bpmn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_expense_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_expense_ner_en.md
new file mode 100644
index 000000000000..c4c0f4c17a01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_expense_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_expense_ner DistilBertForTokenClassification from renjithks
+author: John Snow Labs
+name: distilbert_expense_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_expense_ner` is a English model originally trained by renjithks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_expense_ner_en_5.2.0_3.0_1700620417026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_expense_ner_en_5.2.0_3.0_1700620417026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_expense_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|280.9 MB|
+
+## References
+
+https://huggingface.co/renjithks/distilbert-expense-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_absa_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_absa_en.md
new file mode 100644
index 000000000000..9979cf947486
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_absa_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_absa DistilBertForTokenClassification from Joshwabail
+author: John Snow Labs
+name: distilbert_finetuned_absa
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_absa` is a English model originally trained by Joshwabail.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_absa_en_5.2.0_3.0_1700631194303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_absa_en_5.2.0_3.0_1700631194303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_absa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Joshwabail/distilbert-finetuned-absa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_gesture_prediction_21_classes_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_gesture_prediction_21_classes_en.md
new file mode 100644
index 000000000000..0eaab2412fa6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_gesture_prediction_21_classes_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_gesture_prediction_21_classes DistilBertForTokenClassification from qfrodicio
+author: John Snow Labs
+name: distilbert_finetuned_gesture_prediction_21_classes
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_gesture_prediction_21_classes` is a English model originally trained by qfrodicio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_gesture_prediction_21_classes_en_5.2.0_3.0_1700620723299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_gesture_prediction_21_classes_en_5.2.0_3.0_1700620723299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_gesture_prediction_21_classes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.9 MB|
+
+## References
+
+https://huggingface.co/qfrodicio/distilbert-finetuned-gesture-prediction-21-classes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_gesture_prediction_5_classes_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_gesture_prediction_5_classes_en.md
new file mode 100644
index 000000000000..fe4ea840dec0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_gesture_prediction_5_classes_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_gesture_prediction_5_classes DistilBertForTokenClassification from qfrodicio
+author: John Snow Labs
+name: distilbert_finetuned_gesture_prediction_5_classes
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_gesture_prediction_5_classes` is a English model originally trained by qfrodicio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_gesture_prediction_5_classes_en_5.2.0_3.0_1700620234826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_gesture_prediction_5_classes_en_5.2.0_3.0_1700620234826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_gesture_prediction_5_classes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/qfrodicio/distilbert-finetuned-gesture-prediction-5-classes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_mit_restaurant_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_mit_restaurant_ner_en.md
new file mode 100644
index 000000000000..275a279ba981
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_mit_restaurant_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_mit_restaurant_ner DistilBertForTokenClassification from naufalso
+author: John Snow Labs
+name: distilbert_finetuned_mit_restaurant_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_mit_restaurant_ner` is a English model originally trained by naufalso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_mit_restaurant_ner_en_5.2.0_3.0_1700622908403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_mit_restaurant_ner_en_5.2.0_3.0_1700622908403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_mit_restaurant_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/naufalso/distilbert-finetuned-mit-restaurant-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_conll2003_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_conll2003_en.md
new file mode 100644
index 000000000000..d6928f638a8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_conll2003_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_ner_conll2003 DistilBertForTokenClassification from ViktorDo
+author: John Snow Labs
+name: distilbert_finetuned_ner_conll2003
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_ner_conll2003` is a English model originally trained by ViktorDo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_conll2003_en_5.2.0_3.0_1700628650426.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_conll2003_en_5.2.0_3.0_1700628650426.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_ner_conll2003|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ViktorDo/DistilBERT-finetuned-ner-conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_copious_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_copious_en.md
new file mode 100644
index 000000000000..b8995d4eee80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_copious_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_ner_copious DistilBertForTokenClassification from ViktorDo
+author: John Snow Labs
+name: distilbert_finetuned_ner_copious
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_ner_copious` is a English model originally trained by ViktorDo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_copious_en_5.2.0_3.0_1700666751247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_copious_en_5.2.0_3.0_1700666751247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_ner_copious|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ViktorDo/DistilBERT-finetuned-ner-copious
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_pritam3355_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_pritam3355_en.md
new file mode 100644
index 000000000000..a6c2918dd7e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_pritam3355_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_ner_pritam3355 DistilBertForTokenClassification from pritam3355
+author: John Snow Labs
+name: distilbert_finetuned_ner_pritam3355
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_ner_pritam3355` is a English model originally trained by pritam3355.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_pritam3355_en_5.2.0_3.0_1700623355463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_pritam3355_en_5.2.0_3.0_1700623355463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_ner_pritam3355|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/pritam3355/distilbert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_s800_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_s800_en.md
new file mode 100644
index 000000000000..220a269ebf28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_s800_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_ner_s800 DistilBertForTokenClassification from ViktorDo
+author: John Snow Labs
+name: distilbert_finetuned_ner_s800
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_ner_s800` is a English model originally trained by ViktorDo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_s800_en_5.2.0_3.0_1700650143536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_s800_en_5.2.0_3.0_1700650143536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_ner_s800|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ViktorDo/DistilBERT-finetuned-ner-S800
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_safaab_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_safaab_en.md
new file mode 100644
index 000000000000..23df1cec16fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_finetuned_ner_safaab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_finetuned_ner_safaab DistilBertForTokenClassification from SafaAb
+author: John Snow Labs
+name: distilbert_finetuned_ner_safaab
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_ner_safaab` is a English model originally trained by SafaAb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_safaab_en_5.2.0_3.0_1700621933934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_safaab_en_5.2.0_3.0_1700621933934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_ner_safaab|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/SafaAb/distilbert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_fresh_10epoch_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_fresh_10epoch_en.md
new file mode 100644
index 000000000000..1adab1e4db16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_fresh_10epoch_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_fresh_10epoch DistilBertForTokenClassification from troesy
+author: John Snow Labs
+name: distilbert_fresh_10epoch
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_fresh_10epoch` is a English model originally trained by troesy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_fresh_10epoch_en_5.2.0_3.0_1700626699458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_fresh_10epoch_en_5.2.0_3.0_1700626699458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_fresh_10epoch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/troesy/distilBERT-fresh_10epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_fresh_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_fresh_en.md
new file mode 100644
index 000000000000..78c9c76a1148
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_fresh_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_fresh DistilBertForTokenClassification from troesy
+author: John Snow Labs
+name: distilbert_fresh
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_fresh` is a English model originally trained by troesy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_fresh_en_5.2.0_3.0_1700638457772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_fresh_en_5.2.0_3.0_1700638457772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_fresh|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/troesy/distilBERT-fresh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_hatexplain_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_hatexplain_en.md
new file mode 100644
index 000000000000..d4df976c7e00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_hatexplain_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_hatexplain DistilBertForTokenClassification from troesy
+author: John Snow Labs
+name: distilbert_hatexplain
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_hatexplain` is a English model originally trained by troesy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_hatexplain_en_5.2.0_3.0_1700619753982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_hatexplain_en_5.2.0_3.0_1700619753982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_hatexplain|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/troesy/distilbert-hatexplain
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_hatexplain_label_all_tokens_false_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_hatexplain_label_all_tokens_false_en.md
new file mode 100644
index 000000000000..7eceb262e9c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_hatexplain_label_all_tokens_false_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_hatexplain_label_all_tokens_false DistilBertForTokenClassification from troesy
+author: John Snow Labs
+name: distilbert_hatexplain_label_all_tokens_false
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_hatexplain_label_all_tokens_false` is a English model originally trained by troesy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_hatexplain_label_all_tokens_false_en_5.2.0_3.0_1700623239596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_hatexplain_label_all_tokens_false_en_5.2.0_3.0_1700623239596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_hatexplain_label_all_tokens_false|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/troesy/distilbert-hatexplain-label-all-tokens-False
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_label_all_tokens_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_label_all_tokens_en.md
new file mode 100644
index 000000000000..48004ab09ca3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_label_all_tokens_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_label_all_tokens DistilBertForTokenClassification from troesy
+author: John Snow Labs
+name: distilbert_label_all_tokens
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_label_all_tokens` is a English model originally trained by troesy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_label_all_tokens_en_5.2.0_3.0_1700620564904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_label_all_tokens_en_5.2.0_3.0_1700620564904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_label_all_tokens|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/troesy/distilbert-label-all-tokens
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_pabloguinea_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_pabloguinea_en.md
new file mode 100644
index 000000000000..b6c9a2024cdb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_pabloguinea_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_pabloguinea DistilBertForTokenClassification from PabloGuinea
+author: John Snow Labs
+name: distilbert_pabloguinea
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_pabloguinea` is a English model originally trained by PabloGuinea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_pabloguinea_en_5.2.0_3.0_1700651745872.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_pabloguinea_en_5.2.0_3.0_1700651745872.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_pabloguinea|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/PabloGuinea/distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_french_judgements_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_french_judgements_en.md
new file mode 100644
index 000000000000..b97622733c07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_french_judgements_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_french_judgements DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_french_judgements
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_french_judgements` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_judgements_en_5.2.0_3.0_1700621645904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_judgements_en_5.2.0_3.0_1700621645904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_french_judgements|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-fr-judgements
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_french_laws_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_french_laws_en.md
new file mode 100644
index 000000000000..4eac231a4847
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_french_laws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_french_laws DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_french_laws
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_french_laws` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_laws_en_5.2.0_3.0_1700622111354.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_laws_en_5.2.0_3.0_1700622111354.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_french_laws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-fr-laws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_french_spanish_italian_english_german_judgements_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_french_spanish_italian_english_german_judgements_en.md
new file mode 100644
index 000000000000..9f2a68351508
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_french_spanish_italian_english_german_judgements_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_french_spanish_italian_english_german_judgements DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_french_spanish_italian_english_german_judgements
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_french_spanish_italian_english_german_judgements` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_spanish_italian_english_german_judgements_en_5.2.0_3.0_1700620808007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_french_spanish_italian_english_german_judgements_en_5.2.0_3.0_1700620808007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_french_spanish_italian_english_german_judgements|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-fr-es-it-en-de-judgements
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_german_judgements_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_german_judgements_en.md
new file mode 100644
index 000000000000..19f23b8ddcac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_german_judgements_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_german_judgements DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_german_judgements
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_german_judgements` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_german_judgements_en_5.2.0_3.0_1700621014968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_german_judgements_en_5.2.0_3.0_1700621014968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_german_judgements|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-de-judgements
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_italian_judgements_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_italian_judgements_en.md
new file mode 100644
index 000000000000..84132e6da4b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_italian_judgements_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_italian_judgements DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_italian_judgements
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_italian_judgements` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_italian_judgements_en_5.2.0_3.0_1700622757027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_italian_judgements_en_5.2.0_3.0_1700622757027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_italian_judgements|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-it-judgements
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_italian_judgements_laws_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_italian_judgements_laws_en.md
new file mode 100644
index 000000000000..464e9085dccf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_italian_judgements_laws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_italian_judgements_laws DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_italian_judgements_laws
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_italian_judgements_laws` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_italian_judgements_laws_en_5.2.0_3.0_1700620386430.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_italian_judgements_laws_en_5.2.0_3.0_1700620386430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_italian_judgements_laws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-it-judgements-laws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_italian_laws_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_italian_laws_en.md
new file mode 100644
index 000000000000..edc41e933c2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_italian_laws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_italian_laws DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_italian_laws
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_italian_laws` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_italian_laws_en_5.2.0_3.0_1700622122916.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_italian_laws_en_5.2.0_3.0_1700622122916.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_italian_laws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-it-laws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_spanish_judgements_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_spanish_judgements_en.md
new file mode 100644
index 000000000000..49b8aef68b68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_spanish_judgements_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_spanish_judgements DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_spanish_judgements
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_spanish_judgements` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_spanish_judgements_en_5.2.0_3.0_1700621215214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_spanish_judgements_en_5.2.0_3.0_1700621215214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_spanish_judgements|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-es-judgements
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_spanish_laws_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_spanish_laws_en.md
new file mode 100644
index 000000000000..18b64a0d6dda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_sbd_spanish_laws_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_sbd_spanish_laws DistilBertForTokenClassification from rcds
+author: John Snow Labs
+name: distilbert_sbd_spanish_laws
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sbd_spanish_laws` is a English model originally trained by rcds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sbd_spanish_laws_en_5.2.0_3.0_1700621746249.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sbd_spanish_laws_en_5.2.0_3.0_1700621746249.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sbd_spanish_laws|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/rcds/distilbert-SBD-es-laws
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilbert_token_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilbert_token_en.md
new file mode 100644
index 000000000000..55f56ace7ec2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilbert_token_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_token DistilBertForTokenClassification from PabloGuinea
+author: John Snow Labs
+name: distilbert_token
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_token` is a English model originally trained by PabloGuinea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_token_en_5.2.0_3.0_1700626182676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_token_en_5.2.0_3.0_1700626182676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_token|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/PabloGuinea/distilbert-token
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilkobert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilkobert_finetuned_ner_en.md
new file mode 100644
index 000000000000..360894a592e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilkobert_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilkobert_finetuned_ner DistilBertForTokenClassification from jeinsong
+author: John Snow Labs
+name: distilkobert_finetuned_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilkobert_finetuned_ner` is a English model originally trained by jeinsong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilkobert_finetuned_ner_en_5.2.0_3.0_1700643784147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilkobert_finetuned_ner_en_5.2.0_3.0_1700643784147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilkobert_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|104.3 MB|
+
+## References
+
+https://huggingface.co/jeinsong/distilkobert-finetuned-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilkobert_kemofact_0925_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilkobert_kemofact_0925_en.md
new file mode 100644
index 000000000000..d5bee196974d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilkobert_kemofact_0925_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilkobert_kemofact_0925 DistilBertForTokenClassification from xoyeop
+author: John Snow Labs
+name: distilkobert_kemofact_0925
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilkobert_kemofact_0925` is a English model originally trained by xoyeop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilkobert_kemofact_0925_en_5.2.0_3.0_1700648148254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilkobert_kemofact_0925_en_5.2.0_3.0_1700648148254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilkobert_kemofact_0925|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|104.4 MB|
+
+## References
+
+https://huggingface.co/xoyeop/distilkobert-KEmoFact-0925
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distilkobert_kemofact_efe_0927_en.md b/docs/_posts/ahmedlone127/2023-11-22-distilkobert_kemofact_efe_0927_en.md
new file mode 100644
index 000000000000..02f8d8190181
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distilkobert_kemofact_efe_0927_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilkobert_kemofact_efe_0927 DistilBertForTokenClassification from xoyeop
+author: John Snow Labs
+name: distilkobert_kemofact_efe_0927
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilkobert_kemofact_efe_0927` is a English model originally trained by xoyeop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilkobert_kemofact_efe_0927_en_5.2.0_3.0_1700649420216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilkobert_kemofact_efe_0927_en_5.2.0_3.0_1700649420216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilkobert_kemofact_efe_0927|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|104.3 MB|
+
+## References
+
+https://huggingface.co/xoyeop/distilkobert-KEmoFact-EFE-0927
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-distillbert_base_uncase_conll2003_en.md b/docs/_posts/ahmedlone127/2023-11-22-distillbert_base_uncase_conll2003_en.md
new file mode 100644
index 000000000000..d2daab8791fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-distillbert_base_uncase_conll2003_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distillbert_base_uncase_conll2003 DistilBertForTokenClassification from satyamrajawat1994
+author: John Snow Labs
+name: distillbert_base_uncase_conll2003
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_base_uncase_conll2003` is a English model originally trained by satyamrajawat1994.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_base_uncase_conll2003_en_5.2.0_3.0_1700622414159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_base_uncase_conll2003_en_5.2.0_3.0_1700622414159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_base_uncase_conll2003|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/satyamrajawat1994/distillbert-base-uncase-conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-dogebooch_biomedical_ner_all_datasets_4_en.md b/docs/_posts/ahmedlone127/2023-11-22-dogebooch_biomedical_ner_all_datasets_4_en.md
new file mode 100644
index 000000000000..357d555278cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-dogebooch_biomedical_ner_all_datasets_4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English dogebooch_biomedical_ner_all_datasets_4 DistilBertForTokenClassification from Dogebooch
+author: John Snow Labs
+name: dogebooch_biomedical_ner_all_datasets_4
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dogebooch_biomedical_ner_all_datasets_4` is a English model originally trained by Dogebooch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dogebooch_biomedical_ner_all_datasets_4_en_5.2.0_3.0_1700647815383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dogebooch_biomedical_ner_all_datasets_4_en_5.2.0_3.0_1700647815383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dogebooch_biomedical_ner_all_datasets_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.5 MB|
+
+## References
+
+https://huggingface.co/Dogebooch/Dogebooch_biomedical_ner_all_Datasets_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ecobert_finetuned_ner_copious_en.md b/docs/_posts/ahmedlone127/2023-11-22-ecobert_finetuned_ner_copious_en.md
new file mode 100644
index 000000000000..1cae15279d73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ecobert_finetuned_ner_copious_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ecobert_finetuned_ner_copious DistilBertForTokenClassification from ViktorDo
+author: John Snow Labs
+name: ecobert_finetuned_ner_copious
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ecobert_finetuned_ner_copious` is a English model originally trained by ViktorDo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ecobert_finetuned_ner_copious_en_5.2.0_3.0_1700675099508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ecobert_finetuned_ner_copious_en_5.2.0_3.0_1700675099508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ecobert_finetuned_ner_copious|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ViktorDo/EcoBERT-finetuned-ner-copious
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ecobert_finetuned_ner_s800_en.md b/docs/_posts/ahmedlone127/2023-11-22-ecobert_finetuned_ner_s800_en.md
new file mode 100644
index 000000000000..cc0928e2db14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ecobert_finetuned_ner_s800_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ecobert_finetuned_ner_s800 DistilBertForTokenClassification from ViktorDo
+author: John Snow Labs
+name: ecobert_finetuned_ner_s800
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ecobert_finetuned_ner_s800` is a English model originally trained by ViktorDo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ecobert_finetuned_ner_s800_en_5.2.0_3.0_1700672483090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ecobert_finetuned_ner_s800_en_5.2.0_3.0_1700672483090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ecobert_finetuned_ner_s800|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ViktorDo/EcoBERT-finetuned-ner-S800
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-entity_extraction_not_evaluated_en.md b/docs/_posts/ahmedlone127/2023-11-22-entity_extraction_not_evaluated_en.md
new file mode 100644
index 000000000000..e8ea94d39864
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-entity_extraction_not_evaluated_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English entity_extraction_not_evaluated DistilBertForTokenClassification from autoevaluate
+author: John Snow Labs
+name: entity_extraction_not_evaluated
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`entity_extraction_not_evaluated` is a English model originally trained by autoevaluate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entity_extraction_not_evaluated_en_5.2.0_3.0_1700653423170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/entity_extraction_not_evaluated_en_5.2.0_3.0_1700653423170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|entity_extraction_not_evaluated|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/autoevaluate/entity-extraction-not-evaluated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-experiment_2_en.md b/docs/_posts/ahmedlone127/2023-11-22-experiment_2_en.md
new file mode 100644
index 000000000000..877091146d78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-experiment_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English experiment_2 DistilBertForTokenClassification from sophiestein
+author: John Snow Labs
+name: experiment_2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`experiment_2` is a English model originally trained by sophiestein.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/experiment_2_en_5.2.0_3.0_1700631433791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/experiment_2_en_5.2.0_3.0_1700631433791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|experiment_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sophiestein/experiment_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-few_nerd_en.md b/docs/_posts/ahmedlone127/2023-11-22-few_nerd_en.md
new file mode 100644
index 000000000000..d7baaadecac3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-few_nerd_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English few_nerd DistilBertForTokenClassification from kolj4
+author: John Snow Labs
+name: few_nerd
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`few_nerd` is a English model originally trained by kolj4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/few_nerd_en_5.2.0_3.0_1700641405107.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/few_nerd_en_5.2.0_3.0_1700641405107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|few_nerd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/kolj4/few_nerd
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-fine_tuned_cybersecurity_ner2_en.md b/docs/_posts/ahmedlone127/2023-11-22-fine_tuned_cybersecurity_ner2_en.md
new file mode 100644
index 000000000000..1c4107b1ddaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-fine_tuned_cybersecurity_ner2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English fine_tuned_cybersecurity_ner2 DistilBertForTokenClassification from Abiral7
+author: John Snow Labs
+name: fine_tuned_cybersecurity_ner2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_cybersecurity_ner2` is a English model originally trained by Abiral7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_cybersecurity_ner2_en_5.2.0_3.0_1700620715184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_cybersecurity_ner2_en_5.2.0_3.0_1700620715184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_cybersecurity_ner2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Abiral7/fine-tuned-cybersecurity-ner2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-finetune_wnut_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-finetune_wnut_model_en.md
new file mode 100644
index 000000000000..3f6fb508b2be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-finetune_wnut_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetune_wnut_model DistilBertForTokenClassification from vsufiy
+author: John Snow Labs
+name: finetune_wnut_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetune_wnut_model` is a English model originally trained by vsufiy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetune_wnut_model_en_5.2.0_3.0_1700665834421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetune_wnut_model_en_5.2.0_3.0_1700665834421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetune_wnut_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vsufiy/finetune_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-finetuned_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-finetuned_model_en.md
new file mode 100644
index 000000000000..72fcf06ebe49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-finetuned_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_model DistilBertForTokenClassification from hemulitch
+author: John Snow Labs
+name: finetuned_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_model` is a English model originally trained by hemulitch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_model_en_5.2.0_3.0_1700643013355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_model_en_5.2.0_3.0_1700643013355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/hemulitch/finetuned_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-finetuned_ner_finegrained_en.md b/docs/_posts/ahmedlone127/2023-11-22-finetuned_ner_finegrained_en.md
new file mode 100644
index 000000000000..6cd14e7a0b31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-finetuned_ner_finegrained_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English finetuned_ner_finegrained DistilBertForTokenClassification from kolj4
+author: John Snow Labs
+name: finetuned_ner_finegrained
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_ner_finegrained` is a English model originally trained by kolj4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_ner_finegrained_en_5.2.0_3.0_1700639857519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_ner_finegrained_en_5.2.0_3.0_1700639857519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_ner_finegrained|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/kolj4/finetuned-ner-finegrained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-genderprediction_en.md b/docs/_posts/ahmedlone127/2023-11-22-genderprediction_en.md
new file mode 100644
index 000000000000..1631219eec23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-genderprediction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English genderprediction DistilBertForTokenClassification from rahulkhandelw
+author: John Snow Labs
+name: genderprediction
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`genderprediction` is a English model originally trained by rahulkhandelw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/genderprediction_en_5.2.0_3.0_1700624231648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/genderprediction_en_5.2.0_3.0_1700624231648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|genderprediction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rahulkhandelw/GenderPrediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-hueta_finetuned_1_en.md b/docs/_posts/ahmedlone127/2023-11-22-hueta_finetuned_1_en.md
new file mode 100644
index 000000000000..0341edea4f19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-hueta_finetuned_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hueta_finetuned_1 DistilBertForTokenClassification from hemulitch
+author: John Snow Labs
+name: hueta_finetuned_1
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hueta_finetuned_1` is a English model originally trained by hemulitch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hueta_finetuned_1_en_5.2.0_3.0_1700649752617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hueta_finetuned_1_en_5.2.0_3.0_1700649752617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hueta_finetuned_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/hemulitch/hueta-finetuned_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-hueta_finetuned_en.md b/docs/_posts/ahmedlone127/2023-11-22-hueta_finetuned_en.md
new file mode 100644
index 000000000000..e189ef356259
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-hueta_finetuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hueta_finetuned DistilBertForTokenClassification from hemulitch
+author: John Snow Labs
+name: hueta_finetuned
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hueta_finetuned` is a English model originally trained by hemulitch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hueta_finetuned_en_5.2.0_3.0_1700663098719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hueta_finetuned_en_5.2.0_3.0_1700663098719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hueta_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/hemulitch/hueta-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-hun_wnut_modell_en.md b/docs/_posts/ahmedlone127/2023-11-22-hun_wnut_modell_en.md
new file mode 100644
index 000000000000..136577db2db6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-hun_wnut_modell_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English hun_wnut_modell DistilBertForTokenClassification from terhdavid
+author: John Snow Labs
+name: hun_wnut_modell
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hun_wnut_modell` is a English model originally trained by terhdavid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hun_wnut_modell_en_5.2.0_3.0_1700636721718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hun_wnut_modell_en_5.2.0_3.0_1700636721718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hun_wnut_modell|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/terhdavid/hun_wnut_modell
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-increase_exp_en.md b/docs/_posts/ahmedlone127/2023-11-22-increase_exp_en.md
new file mode 100644
index 000000000000..4bb2da07497a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-increase_exp_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English increase_exp DistilBertForTokenClassification from GiladH
+author: John Snow Labs
+name: increase_exp
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`increase_exp` is a English model originally trained by GiladH.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/increase_exp_en_5.2.0_3.0_1700668540091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/increase_exp_en_5.2.0_3.0_1700668540091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|increase_exp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/GiladH/increase_exp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-innox_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-22-innox_distilbert_en.md
new file mode 100644
index 000000000000..63c04a50a126
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-innox_distilbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English innox_distilbert DistilBertForTokenClassification from brao
+author: John Snow Labs
+name: innox_distilbert
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`innox_distilbert` is a English model originally trained by brao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/innox_distilbert_en_5.2.0_3.0_1700620561905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/innox_distilbert_en_5.2.0_3.0_1700620561905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|innox_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/brao/innox-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-insertbert05_en.md b/docs/_posts/ahmedlone127/2023-11-22-insertbert05_en.md
new file mode 100644
index 000000000000..4c4b90342082
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-insertbert05_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English insertbert05 DistilBertForTokenClassification from adasgaleus
+author: John Snow Labs
+name: insertbert05
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`insertbert05` is a English model originally trained by adasgaleus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/insertbert05_en_5.2.0_3.0_1700622289865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/insertbert05_en_5.2.0_3.0_1700622289865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|insertbert05|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/adasgaleus/insertbert05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-insertion_prop05_ls01_en.md b/docs/_posts/ahmedlone127/2023-11-22-insertion_prop05_ls01_en.md
new file mode 100644
index 000000000000..9d4a1f829a04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-insertion_prop05_ls01_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English insertion_prop05_ls01 DistilBertForTokenClassification from adasgaleus
+author: John Snow Labs
+name: insertion_prop05_ls01
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`insertion_prop05_ls01` is a English model originally trained by adasgaleus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/insertion_prop05_ls01_en_5.2.0_3.0_1700658941706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/insertion_prop05_ls01_en_5.2.0_3.0_1700658941706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|insertion_prop05_ls01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/adasgaleus/insertion-prop05-ls01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-insertion_prop05_vocab_en.md b/docs/_posts/ahmedlone127/2023-11-22-insertion_prop05_vocab_en.md
new file mode 100644
index 000000000000..39edab0abc25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-insertion_prop05_vocab_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English insertion_prop05_vocab DistilBertForTokenClassification from adasgaleus
+author: John Snow Labs
+name: insertion_prop05_vocab
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`insertion_prop05_vocab` is a English model originally trained by adasgaleus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/insertion_prop05_vocab_en_5.2.0_3.0_1700644271447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/insertion_prop05_vocab_en_5.2.0_3.0_1700644271447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|insertion_prop05_vocab|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/adasgaleus/insertion-prop05-vocab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-insertion_prop_015_correct_data_en.md b/docs/_posts/ahmedlone127/2023-11-22-insertion_prop_015_correct_data_en.md
new file mode 100644
index 000000000000..800eb50cf3f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-insertion_prop_015_correct_data_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English insertion_prop_015_correct_data DistilBertForTokenClassification from adasgaleus
+author: John Snow Labs
+name: insertion_prop_015_correct_data
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`insertion_prop_015_correct_data` is a English model originally trained by adasgaleus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/insertion_prop_015_correct_data_en_5.2.0_3.0_1700641991572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/insertion_prop_015_correct_data_en_5.2.0_3.0_1700641991572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|insertion_prop_015_correct_data|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/adasgaleus/insertion-prop-015-correct-data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-insertion_prop_05_correct_data_en.md b/docs/_posts/ahmedlone127/2023-11-22-insertion_prop_05_correct_data_en.md
new file mode 100644
index 000000000000..47110e43e8fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-insertion_prop_05_correct_data_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English insertion_prop_05_correct_data DistilBertForTokenClassification from adasgaleus
+author: John Snow Labs
+name: insertion_prop_05_correct_data
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`insertion_prop_05_correct_data` is a English model originally trained by adasgaleus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/insertion_prop_05_correct_data_en_5.2.0_3.0_1700651293943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/insertion_prop_05_correct_data_en_5.2.0_3.0_1700651293943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|insertion_prop_05_correct_data|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/adasgaleus/insertion-prop-05-correct-data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-insertion_prop_05_en.md b/docs/_posts/ahmedlone127/2023-11-22-insertion_prop_05_en.md
new file mode 100644
index 000000000000..d3aae60195b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-insertion_prop_05_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English insertion_prop_05 DistilBertForTokenClassification from adasgaleus
+author: John Snow Labs
+name: insertion_prop_05
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`insertion_prop_05` is a English model originally trained by adasgaleus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/insertion_prop_05_en_5.2.0_3.0_1700623492647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/insertion_prop_05_en_5.2.0_3.0_1700623492647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|insertion_prop_05|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/adasgaleus/insertion-prop-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-jl_distilbert_german_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-jl_distilbert_german_finetuned_ner_en.md
new file mode 100644
index 000000000000..f895d5f1a57c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-jl_distilbert_german_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English jl_distilbert_german_finetuned_ner DistilBertForTokenClassification from xander71988
+author: John Snow Labs
+name: jl_distilbert_german_finetuned_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jl_distilbert_german_finetuned_ner` is a English model originally trained by xander71988.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jl_distilbert_german_finetuned_ner_en_5.2.0_3.0_1700643352463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jl_distilbert_german_finetuned_ner_en_5.2.0_3.0_1700643352463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jl_distilbert_german_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/xander71988/jl-distilbert-de-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-loc_dataset_en.md b/docs/_posts/ahmedlone127/2023-11-22-loc_dataset_en.md
new file mode 100644
index 000000000000..496537a63187
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-loc_dataset_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English loc_dataset DistilBertForTokenClassification from jauyeung
+author: John Snow Labs
+name: loc_dataset
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`loc_dataset` is a English model originally trained by jauyeung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/loc_dataset_en_5.2.0_3.0_1700633823072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/loc_dataset_en_5.2.0_3.0_1700633823072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|loc_dataset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jauyeung/loc_dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-medhack_en.md b/docs/_posts/ahmedlone127/2023-11-22-medhack_en.md
new file mode 100644
index 000000000000..4f1ec6ba0b84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-medhack_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English medhack DistilBertForTokenClassification from myxik
+author: John Snow Labs
+name: medhack
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medhack` is a English model originally trained by myxik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medhack_en_5.2.0_3.0_1700675338607.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medhack_en_5.2.0_3.0_1700675338607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medhack|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/myxik/medhack
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-meow_tagging_en.md b/docs/_posts/ahmedlone127/2023-11-22-meow_tagging_en.md
new file mode 100644
index 000000000000..3dfcc6f6f578
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-meow_tagging_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English meow_tagging DistilBertForTokenClassification from h90a00l
+author: John Snow Labs
+name: meow_tagging
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`meow_tagging` is a English model originally trained by h90a00l.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/meow_tagging_en_5.2.0_3.0_1700634368485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/meow_tagging_en_5.2.0_3.0_1700634368485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|meow_tagging|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/h90a00l/meow_tagging
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-model_output_en.md b/docs/_posts/ahmedlone127/2023-11-22-model_output_en.md
new file mode 100644
index 000000000000..60e0e9f7be3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-model_output_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English model_output DistilBertForTokenClassification from alicenkbaytop
+author: John Snow Labs
+name: model_output
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_output` is a English model originally trained by alicenkbaytop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_output_en_5.2.0_3.0_1700659334169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_output_en_5.2.0_3.0_1700659334169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_output|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/alicenkbaytop/model_output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-modelworking2_en.md b/docs/_posts/ahmedlone127/2023-11-22-modelworking2_en.md
new file mode 100644
index 000000000000..d42f5644a6bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-modelworking2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English modelworking2 DistilBertForTokenClassification from rijulnandy
+author: John Snow Labs
+name: modelworking2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelworking2` is a English model originally trained by rijulnandy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelworking2_en_5.2.0_3.0_1700674675396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelworking2_en_5.2.0_3.0_1700674675396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelworking2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rijulnandy/modelWorking2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-modelworking3_en.md b/docs/_posts/ahmedlone127/2023-11-22-modelworking3_en.md
new file mode 100644
index 000000000000..8fb27c0fa686
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-modelworking3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English modelworking3 DistilBertForTokenClassification from rijulnandy
+author: John Snow Labs
+name: modelworking3
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelworking3` is a English model originally trained by rijulnandy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelworking3_en_5.2.0_3.0_1700671189150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelworking3_en_5.2.0_3.0_1700671189150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelworking3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rijulnandy/modelWorking3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-modelworking4_en.md b/docs/_posts/ahmedlone127/2023-11-22-modelworking4_en.md
new file mode 100644
index 000000000000..f6752899a5d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-modelworking4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English modelworking4 DistilBertForTokenClassification from rijulnandy
+author: John Snow Labs
+name: modelworking4
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelworking4` is a English model originally trained by rijulnandy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelworking4_en_5.2.0_3.0_1700665041664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelworking4_en_5.2.0_3.0_1700665041664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelworking4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rijulnandy/modelWorking4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-modelworking6_copy_en.md b/docs/_posts/ahmedlone127/2023-11-22-modelworking6_copy_en.md
new file mode 100644
index 000000000000..e897d784c2d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-modelworking6_copy_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English modelworking6_copy DistilBertForTokenClassification from rijulnandy
+author: John Snow Labs
+name: modelworking6_copy
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelworking6_copy` is a English model originally trained by rijulnandy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelworking6_copy_en_5.2.0_3.0_1700669889975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelworking6_copy_en_5.2.0_3.0_1700669889975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelworking6_copy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rijulnandy/modelWorking6-copy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-modelworkingmanualdata2_en.md b/docs/_posts/ahmedlone127/2023-11-22-modelworkingmanualdata2_en.md
new file mode 100644
index 000000000000..7a367914f1f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-modelworkingmanualdata2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English modelworkingmanualdata2 DistilBertForTokenClassification from rijulnandy
+author: John Snow Labs
+name: modelworkingmanualdata2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelworkingmanualdata2` is a English model originally trained by rijulnandy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelworkingmanualdata2_en_5.2.0_3.0_1700666821676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelworkingmanualdata2_en_5.2.0_3.0_1700666821676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelworkingmanualdata2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rijulnandy/modelWorkingManualData2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-modelworkingmanualdata3_en.md b/docs/_posts/ahmedlone127/2023-11-22-modelworkingmanualdata3_en.md
new file mode 100644
index 000000000000..17372927b00f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-modelworkingmanualdata3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English modelworkingmanualdata3 DistilBertForTokenClassification from rijulnandy
+author: John Snow Labs
+name: modelworkingmanualdata3
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelworkingmanualdata3` is a English model originally trained by rijulnandy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelworkingmanualdata3_en_5.2.0_3.0_1700679071393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelworkingmanualdata3_en_5.2.0_3.0_1700679071393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modelworkingmanualdata3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rijulnandy/modelWorkingManualData3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-modelworkingmanualdata_en.md b/docs/_posts/ahmedlone127/2023-11-22-modelworkingmanualdata_en.md
new file mode 100644
index 000000000000..16008516f80b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-modelworkingmanualdata_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English modelworkingmanualdata DistilBertForTokenClassification from rijulnandy
+author: John Snow Labs
+name: modelworkingmanualdata
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modelworkingmanualdata` is a English model originally trained by rijulnandy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modelworkingmanualdata_en_5.2.0_3.0_1700676815089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modelworkingmanualdata_en_5.2.0_3.0_1700676815089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mongolian_distilbert_base_multilingual_cased_demo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/Enkhbold/mongolian-distilbert-base-multilingual-cased-demo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-moodprediction_en.md b/docs/_posts/ahmedlone127/2023-11-22-moodprediction_en.md
new file mode 100644
index 000000000000..114c51026d26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-moodprediction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English moodprediction DistilBertForTokenClassification from rahulkhandelw
+author: John Snow Labs
+name: moodprediction
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`moodprediction` is a English model originally trained by rahulkhandelw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/moodprediction_en_5.2.0_3.0_1700675807787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/moodprediction_en_5.2.0_3.0_1700675807787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|moodprediction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rahulkhandelw/MoodPrediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-nassganbiomedical_en.md b/docs/_posts/ahmedlone127/2023-11-22-nassganbiomedical_en.md
new file mode 100644
index 000000000000..bd921d06d3f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-nassganbiomedical_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nassganbiomedical DistilBertForTokenClassification from nassga
+author: John Snow Labs
+name: nassganbiomedical
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nassganbiomedical` is a English model originally trained by nassga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nassganbiomedical_en_5.2.0_3.0_1700627762233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nassganbiomedical_en_5.2.0_3.0_1700627762233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nassganbiomedical|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.5 MB|
+
+## References
+
+https://huggingface.co/nassga/nassGanBioMedical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ner_classification_en.md b/docs/_posts/ahmedlone127/2023-11-22-ner_classification_en.md
new file mode 100644
index 000000000000..550952e8d140
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ner_classification_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_classification DistilBertForTokenClassification from oyvindgrutle
+author: John Snow Labs
+name: ner_classification
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_classification` is a English model originally trained by oyvindgrutle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_classification_en_5.2.0_3.0_1700619870138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_classification_en_5.2.0_3.0_1700619870138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/oyvindgrutle/ner-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ner_distilbert_cased_en.md b/docs/_posts/ahmedlone127/2023-11-22-ner_distilbert_cased_en.md
new file mode 100644
index 000000000000..78e9bec679c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ner_distilbert_cased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_distilbert_cased DistilBertForTokenClassification from rjac
+author: John Snow Labs
+name: ner_distilbert_cased
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_distilbert_cased` is a English model originally trained by rjac.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_distilbert_cased_en_5.2.0_3.0_1700623529181.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_distilbert_cased_en_5.2.0_3.0_1700623529181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_distilbert_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/rjac/ner-distilbert-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ner_distillbert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-ner_distillbert_ner_en.md
new file mode 100644
index 000000000000..81294d835e9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ner_distillbert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_distillbert_ner DistilBertForTokenClassification from harvinder676
+author: John Snow Labs
+name: ner_distillbert_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_distillbert_ner` is a English model originally trained by harvinder676.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_distillbert_ner_en_5.2.0_3.0_1700653017197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_distillbert_ner_en_5.2.0_3.0_1700653017197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_distillbert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/harvinder676/ner-distillbert-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ner_distillbert_ner_tags_en.md b/docs/_posts/ahmedlone127/2023-11-22-ner_distillbert_ner_tags_en.md
new file mode 100644
index 000000000000..fac5a61752a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ner_distillbert_ner_tags_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_distillbert_ner_tags DistilBertForTokenClassification from harvinder676
+author: John Snow Labs
+name: ner_distillbert_ner_tags
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_distillbert_ner_tags` is a English model originally trained by harvinder676.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_distillbert_ner_tags_en_5.2.0_3.0_1700661243949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_distillbert_ner_tags_en_5.2.0_3.0_1700661243949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_distillbert_ner_tags|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/harvinder676/ner-distillbert-ner-tags
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ner_loc_en.md b/docs/_posts/ahmedlone127/2023-11-22-ner_loc_en.md
new file mode 100644
index 000000000000..76e630ff85fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ner_loc_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_loc DistilBertForTokenClassification from jauyeung
+author: John Snow Labs
+name: ner_loc
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_loc` is a English model originally trained by jauyeung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_loc_en_5.2.0_3.0_1700645154600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_loc_en_5.2.0_3.0_1700645154600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_loc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jauyeung/ner_loc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ner_model_v1_en.md b/docs/_posts/ahmedlone127/2023-11-22-ner_model_v1_en.md
new file mode 100644
index 000000000000..1bca86f9992a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ner_model_v1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_model_v1 DistilBertForTokenClassification from AbderrahimAl
+author: John Snow Labs
+name: ner_model_v1
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_model_v1` is a English model originally trained by AbderrahimAl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_model_v1_en_5.2.0_3.0_1700669035895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_model_v1_en_5.2.0_3.0_1700669035895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_model_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/AbderrahimAl/ner_model_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ner_our_base_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-ner_our_base_model_en.md
new file mode 100644
index 000000000000..daba5b8fc5e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ner_our_base_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_our_base_model DistilBertForTokenClassification from yashveer11
+author: John Snow Labs
+name: ner_our_base_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_our_base_model` is a English model originally trained by yashveer11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_our_base_model_en_5.2.0_3.0_1700649940341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_our_base_model_en_5.2.0_3.0_1700649940341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_our_base_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/yashveer11/Ner-our-base-Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ner_test3_en.md b/docs/_posts/ahmedlone127/2023-11-22-ner_test3_en.md
new file mode 100644
index 000000000000..5921c50962ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ner_test3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_test3 DistilBertForTokenClassification from inesani
+author: John Snow Labs
+name: ner_test3
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_test3` is a English model originally trained by inesani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_test3_en_5.2.0_3.0_1700621429951.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_test3_en_5.2.0_3.0_1700621429951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_test3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/inesani/ner-test3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ner_testing_1_en.md b/docs/_posts/ahmedlone127/2023-11-22-ner_testing_1_en.md
new file mode 100644
index 000000000000..2016be66f970
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ner_testing_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_testing_1 DistilBertForTokenClassification from yashveer11
+author: John Snow Labs
+name: ner_testing_1
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_testing_1` is a English model originally trained by yashveer11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_testing_1_en_5.2.0_3.0_1700636973544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_testing_1_en_5.2.0_3.0_1700636973544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_testing_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/yashveer11/Ner-Testing-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-ner_trainer_en.md b/docs/_posts/ahmedlone127/2023-11-22-ner_trainer_en.md
new file mode 100644
index 000000000000..1f59b61511d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-ner_trainer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English ner_trainer DistilBertForTokenClassification from jenniferjane
+author: John Snow Labs
+name: ner_trainer
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_trainer` is a English model originally trained by jenniferjane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_trainer_en_5.2.0_3.0_1700623640746.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_trainer_en_5.2.0_3.0_1700623640746.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_trainer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jenniferjane/ner_trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-nlp_hiba2_distemist_fine_tuned_biobert_pretrained_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-nlp_hiba2_distemist_fine_tuned_biobert_pretrained_model_en.md
new file mode 100644
index 000000000000..eb39a0264255
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-nlp_hiba2_distemist_fine_tuned_biobert_pretrained_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nlp_hiba2_distemist_fine_tuned_biobert_pretrained_model DistilBertForTokenClassification from GuCuChiara
+author: John Snow Labs
+name: nlp_hiba2_distemist_fine_tuned_biobert_pretrained_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_hiba2_distemist_fine_tuned_biobert_pretrained_model` is a English model originally trained by GuCuChiara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_hiba2_distemist_fine_tuned_biobert_pretrained_model_en_5.2.0_3.0_1700647431903.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_hiba2_distemist_fine_tuned_biobert_pretrained_model_en_5.2.0_3.0_1700647431903.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_hiba2_distemist_fine_tuned_biobert_pretrained_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/GuCuChiara/NLP-HIBA2_DisTEMIST_fine_tuned_biobert-pretrained-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-nlp_p4_en.md b/docs/_posts/ahmedlone127/2023-11-22-nlp_p4_en.md
new file mode 100644
index 000000000000..7836891aeb0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-nlp_p4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nlp_p4 DistilBertForTokenClassification from sameearif88
+author: John Snow Labs
+name: nlp_p4
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_p4` is a English model originally trained by sameearif88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_p4_en_5.2.0_3.0_1700679128298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_p4_en_5.2.0_3.0_1700679128298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_p4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sameearif88/nlp-p4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-nlpstudy_distilbert_en.md b/docs/_posts/ahmedlone127/2023-11-22-nlpstudy_distilbert_en.md
new file mode 100644
index 000000000000..1ac7e17bd368
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-nlpstudy_distilbert_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English nlpstudy_distilbert DistilBertForTokenClassification from d8888
+author: John Snow Labs
+name: nlpstudy_distilbert
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlpstudy_distilbert` is a English model originally trained by d8888.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlpstudy_distilbert_en_5.2.0_3.0_1700632388472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlpstudy_distilbert_en_5.2.0_3.0_1700632388472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlpstudy_distilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/d8888/nlpstudy_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-numberprediction_en.md b/docs/_posts/ahmedlone127/2023-11-22-numberprediction_en.md
new file mode 100644
index 000000000000..e00d93106bb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-numberprediction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English numberprediction DistilBertForTokenClassification from rahulkhandelw
+author: John Snow Labs
+name: numberprediction
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`numberprediction` is a English model originally trained by rahulkhandelw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/numberprediction_en_5.2.0_3.0_1700634916081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/numberprediction_en_5.2.0_3.0_1700634916081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|numberprediction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rahulkhandelw/NumberPrediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-panda_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-panda_ner_en.md
new file mode 100644
index 000000000000..3ccf284822dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-panda_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English panda_ner DistilBertForTokenClassification from GOATsan
+author: John Snow Labs
+name: panda_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`panda_ner` is a English model originally trained by GOATsan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/panda_ner_en_5.2.0_3.0_1700671468026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/panda_ner_en_5.2.0_3.0_1700671468026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|panda_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/GOATsan/panda_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-pautas_en.md b/docs/_posts/ahmedlone127/2023-11-22-pautas_en.md
new file mode 100644
index 000000000000..650c4c843c29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-pautas_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English pautas DistilBertForTokenClassification from hucruz
+author: John Snow Labs
+name: pautas
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pautas` is a English model originally trained by hucruz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pautas_en_5.2.0_3.0_1700646922169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pautas_en_5.2.0_3.0_1700646922169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pautas|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|250.4 MB|
+
+## References
+
+https://huggingface.co/hucruz/pautas
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-personprediction_en.md b/docs/_posts/ahmedlone127/2023-11-22-personprediction_en.md
new file mode 100644
index 000000000000..b6083c5a5d3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-personprediction_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English personprediction DistilBertForTokenClassification from rahulkhandelw
+author: John Snow Labs
+name: personprediction
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`personprediction` is a English model originally trained by rahulkhandelw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/personprediction_en_5.2.0_3.0_1700619170470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/personprediction_en_5.2.0_3.0_1700619170470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|personprediction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rahulkhandelw/PersonPrediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-portuguese_traing_en.md b/docs/_posts/ahmedlone127/2023-11-22-portuguese_traing_en.md
new file mode 100644
index 000000000000..fac660e294d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-portuguese_traing_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English portuguese_traing DistilBertForTokenClassification from Marumaru0
+author: John Snow Labs
+name: portuguese_traing
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`portuguese_traing` is a English model originally trained by Marumaru0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/portuguese_traing_en_5.2.0_3.0_1700681996782.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/portuguese_traing_en_5.2.0_3.0_1700681996782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|portuguese_traing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Marumaru0/pt_traing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-punjabi_distilbert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-punjabi_distilbert_ner_en.md
new file mode 100644
index 000000000000..90d4b9b70a5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-punjabi_distilbert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English punjabi_distilbert_ner DistilBertForTokenClassification from mirfan899
+author: John Snow Labs
+name: punjabi_distilbert_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`punjabi_distilbert_ner` is a English model originally trained by mirfan899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/punjabi_distilbert_ner_en_5.2.0_3.0_1700649558408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/punjabi_distilbert_ner_en_5.2.0_3.0_1700649558408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qspot_distilbert_base_multilingual_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|505.5 MB|
+
+## References
+
+https://huggingface.co/DataIntelligenceTeam/QSPOT-distilbert-base-multilingual-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-quote_model_delta_en.md b/docs/_posts/ahmedlone127/2023-11-22-quote_model_delta_en.md
new file mode 100644
index 000000000000..22cb55b8a003
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-quote_model_delta_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English quote_model_delta DistilBertForTokenClassification from Iceland
+author: John Snow Labs
+name: quote_model_delta
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quote_model_delta` is a English model originally trained by Iceland.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quote_model_delta_en_5.2.0_3.0_1700651856417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quote_model_delta_en_5.2.0_3.0_1700651856417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quote_model_delta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Iceland/quote-model-delta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-results_raucusreno_en.md b/docs/_posts/ahmedlone127/2023-11-22-results_raucusreno_en.md
new file mode 100644
index 000000000000..146f41f874d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-results_raucusreno_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English results_raucusreno DistilBertForTokenClassification from RaucusReno
+author: John Snow Labs
+name: results_raucusreno
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_raucusreno` is a English model originally trained by RaucusReno.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_raucusreno_en_5.2.0_3.0_1700662167953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_raucusreno_en_5.2.0_3.0_1700662167953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_raucusreno|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/RaucusReno/results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-rg_distilbert_augmanted_signatures_en.md b/docs/_posts/ahmedlone127/2023-11-22-rg_distilbert_augmanted_signatures_en.md
new file mode 100644
index 000000000000..f3dcb7e59d33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-rg_distilbert_augmanted_signatures_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rg_distilbert_augmanted_signatures DistilBertForTokenClassification from chilliadgl
+author: John Snow Labs
+name: rg_distilbert_augmanted_signatures
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rg_distilbert_augmanted_signatures` is a English model originally trained by chilliadgl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rg_distilbert_augmanted_signatures_en_5.2.0_3.0_1700635914697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rg_distilbert_augmanted_signatures_en_5.2.0_3.0_1700635914697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rg_distilbert_augmanted_signatures|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/chilliadgl/RG_distilbert_augmanted_signatures
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-rg_distilbert_big_data_en.md b/docs/_posts/ahmedlone127/2023-11-22-rg_distilbert_big_data_en.md
new file mode 100644
index 000000000000..1c7e81f2fa5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-rg_distilbert_big_data_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rg_distilbert_big_data DistilBertForTokenClassification from chilliadgl
+author: John Snow Labs
+name: rg_distilbert_big_data
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rg_distilbert_big_data` is a English model originally trained by chilliadgl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rg_distilbert_big_data_en_5.2.0_3.0_1700664653691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rg_distilbert_big_data_en_5.2.0_3.0_1700664653691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rg_distilbert_big_data|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/chilliadgl/RG_distilbert_big_data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-rg_ner_for_emails_en.md b/docs/_posts/ahmedlone127/2023-11-22-rg_ner_for_emails_en.md
new file mode 100644
index 000000000000..b3d7a8dd6fcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-rg_ner_for_emails_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rg_ner_for_emails DistilBertForTokenClassification from chilliadgl
+author: John Snow Labs
+name: rg_ner_for_emails
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rg_ner_for_emails` is a English model originally trained by chilliadgl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rg_ner_for_emails_en_5.2.0_3.0_1700646747753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rg_ner_for_emails_en_5.2.0_3.0_1700646747753.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rg_ner_for_emails|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/chilliadgl/RG_NER_for_emails
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-rg_ner_sign_en.md b/docs/_posts/ahmedlone127/2023-11-22-rg_ner_sign_en.md
new file mode 100644
index 000000000000..f8fa80c62bfb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-rg_ner_sign_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English rg_ner_sign DistilBertForTokenClassification from chilliadgl
+author: John Snow Labs
+name: rg_ner_sign
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rg_ner_sign` is a English model originally trained by chilliadgl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rg_ner_sign_en_5.2.0_3.0_1700630418874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rg_ner_sign_en_5.2.0_3.0_1700630418874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rg_ner_sign|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/chilliadgl/RG_NER_sign
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-roberta_large_ner_model_mimic_top10_en.md b/docs/_posts/ahmedlone127/2023-11-22-roberta_large_ner_model_mimic_top10_en.md
new file mode 100644
index 000000000000..5a641c269441
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-roberta_large_ner_model_mimic_top10_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English roberta_large_ner_model_mimic_top10 DistilBertForTokenClassification from alecocc
+author: John Snow Labs
+name: roberta_large_ner_model_mimic_top10
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_ner_model_mimic_top10` is a English model originally trained by alecocc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_ner_model_mimic_top10_en_5.2.0_3.0_1700634368464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_ner_model_mimic_top10_en_5.2.0_3.0_1700634368464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_ner_model_mimic_top10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/alecocc/roberta_large_ner_model_mimic_top10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-sara_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-sara_model_en.md
new file mode 100644
index 000000000000..94590b695331
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-sara_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sara_model DistilBertForTokenClassification from sarasarasara
+author: John Snow Labs
+name: sara_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sara_model` is a English model originally trained by sarasarasara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sara_model_en_5.2.0_3.0_1700658368554.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sara_model_en_5.2.0_3.0_1700658368554.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sara_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sarasarasara/sara-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-sayula_popoluca_test_model_1_en.md b/docs/_posts/ahmedlone127/2023-11-22-sayula_popoluca_test_model_1_en.md
new file mode 100644
index 000000000000..7c726e262745
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-sayula_popoluca_test_model_1_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sayula_popoluca_test_model_1 DistilBertForTokenClassification from natalierobbins
+author: John Snow Labs
+name: sayula_popoluca_test_model_1
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sayula_popoluca_test_model_1` is a English model originally trained by natalierobbins.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sayula_popoluca_test_model_1_en_5.2.0_3.0_1700641992370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sayula_popoluca_test_model_1_en_5.2.0_3.0_1700641992370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sayula_popoluca_test_model_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/natalierobbins/pos_test_model_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-sayula_popoluca_test_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-sayula_popoluca_test_model_en.md
new file mode 100644
index 000000000000..aec06141b939
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-sayula_popoluca_test_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sayula_popoluca_test_model DistilBertForTokenClassification from natalierobbins
+author: John Snow Labs
+name: sayula_popoluca_test_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sayula_popoluca_test_model` is a English model originally trained by natalierobbins.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sayula_popoluca_test_model_en_5.2.0_3.0_1700654309763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sayula_popoluca_test_model_en_5.2.0_3.0_1700654309763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sayula_popoluca_test_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/natalierobbins/pos_test_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-sf_1_2epochs_distilbert_base_uncased_en.md b/docs/_posts/ahmedlone127/2023-11-22-sf_1_2epochs_distilbert_base_uncased_en.md
new file mode 100644
index 000000000000..d0fdafb15b25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-sf_1_2epochs_distilbert_base_uncased_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sf_1_2epochs_distilbert_base_uncased DistilBertForTokenClassification from PiceTRP
+author: John Snow Labs
+name: sf_1_2epochs_distilbert_base_uncased
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sf_1_2epochs_distilbert_base_uncased` is a English model originally trained by PiceTRP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sf_1_2epochs_distilbert_base_uncased_en_5.2.0_3.0_1700624127520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sf_1_2epochs_distilbert_base_uncased_en_5.2.0_3.0_1700624127520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sf_1_2epochs_distilbert_base_uncased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.5 MB|
+
+## References
+
+https://huggingface.co/PiceTRP/sf_1_2epochs_distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-social_groups_ner_first_try_en.md b/docs/_posts/ahmedlone127/2023-11-22-social_groups_ner_first_try_en.md
new file mode 100644
index 000000000000..8fbea40da7e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-social_groups_ner_first_try_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English social_groups_ner_first_try DistilBertForTokenClassification from AlonCohen
+author: John Snow Labs
+name: social_groups_ner_first_try
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`social_groups_ner_first_try` is a English model originally trained by AlonCohen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/social_groups_ner_first_try_en_5.2.0_3.0_1700621574481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/social_groups_ner_first_try_en_5.2.0_3.0_1700621574481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|social_groups_ner_first_try|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/AlonCohen/social-groups-ner-first-try
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-social_groups_second_try_aloncohen_en.md b/docs/_posts/ahmedlone127/2023-11-22-social_groups_second_try_aloncohen_en.md
new file mode 100644
index 000000000000..553cc5e6e039
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-social_groups_second_try_aloncohen_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English social_groups_second_try_aloncohen DistilBertForTokenClassification from AlonCohen
+author: John Snow Labs
+name: social_groups_second_try_aloncohen
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`social_groups_second_try_aloncohen` is a English model originally trained by AlonCohen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/social_groups_second_try_aloncohen_en_5.2.0_3.0_1700622835787.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/social_groups_second_try_aloncohen_en_5.2.0_3.0_1700622835787.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|social_groups_second_try_aloncohen|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/AlonCohen/social_groups_second_try
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-social_groups_second_try_giladh_en.md b/docs/_posts/ahmedlone127/2023-11-22-social_groups_second_try_giladh_en.md
new file mode 100644
index 000000000000..eb1a8f29dde6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-social_groups_second_try_giladh_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English social_groups_second_try_giladh DistilBertForTokenClassification from GiladH
+author: John Snow Labs
+name: social_groups_second_try_giladh
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`social_groups_second_try_giladh` is a English model originally trained by GiladH.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/social_groups_second_try_giladh_en_5.2.0_3.0_1700677625371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/social_groups_second_try_giladh_en_5.2.0_3.0_1700677625371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|social_groups_second_try_giladh|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|244.0 MB|
+
+## References
+
+https://huggingface.co/GiladH/social_groups_second_try
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-sophie_spanish_implementation_en.md b/docs/_posts/ahmedlone127/2023-11-22-sophie_spanish_implementation_en.md
new file mode 100644
index 000000000000..3161500a8858
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-sophie_spanish_implementation_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English sophie_spanish_implementation DistilBertForTokenClassification from sophiestein
+author: John Snow Labs
+name: sophie_spanish_implementation
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sophie_spanish_implementation` is a English model originally trained by sophiestein.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sophie_spanish_implementation_en_5.2.0_3.0_1700676749743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sophie_spanish_implementation_en_5.2.0_3.0_1700676749743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sophie_spanish_implementation|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/sophiestein/sophie-spanish-implementation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-spanish_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-spanish_ner_en.md
new file mode 100644
index 000000000000..816d9ceef3e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-spanish_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English spanish_ner DistilBertForTokenClassification from dayvidwang
+author: John Snow Labs
+name: spanish_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanish_ner` is a English model originally trained by dayvidwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_ner_en_5.2.0_3.0_1700676749060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_ner_en_5.2.0_3.0_1700676749060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/dayvidwang/spanish_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tabert_1k_naamapadam_en.md b/docs/_posts/ahmedlone127/2023-11-22-tabert_1k_naamapadam_en.md
new file mode 100644
index 000000000000..982faacbdadf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tabert_1k_naamapadam_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tabert_1k_naamapadam DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: tabert_1k_naamapadam
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tabert_1k_naamapadam` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tabert_1k_naamapadam_en_5.2.0_3.0_1700620970803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tabert_1k_naamapadam_en_5.2.0_3.0_1700620970803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tabert_1k_naamapadam|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|163.8 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/tabert-1k-naamapadam
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tabert_2k_naamapadam_en.md b/docs/_posts/ahmedlone127/2023-11-22-tabert_2k_naamapadam_en.md
new file mode 100644
index 000000000000..f9b3024e9a47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tabert_2k_naamapadam_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tabert_2k_naamapadam DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: tabert_2k_naamapadam
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tabert_2k_naamapadam` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tabert_2k_naamapadam_en_5.2.0_3.0_1700623109007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tabert_2k_naamapadam_en_5.2.0_3.0_1700623109007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tabert_2k_naamapadam|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|166.7 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/tabert-2k-naamapadam
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-taner_1k_en.md b/docs/_posts/ahmedlone127/2023-11-22-taner_1k_en.md
new file mode 100644
index 000000000000..b349ec493126
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-taner_1k_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English taner_1k DistilBertForTokenClassification from livinNector
+author: John Snow Labs
+name: taner_1k
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taner_1k` is a English model originally trained by livinNector.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taner_1k_en_5.2.0_3.0_1700673817143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taner_1k_en_5.2.0_3.0_1700673817143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taner_1k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|163.8 MB|
+
+## References
+
+https://huggingface.co/livinNector/TaNER-1k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-taner_1k_indic_glue_en.md b/docs/_posts/ahmedlone127/2023-11-22-taner_1k_indic_glue_en.md
new file mode 100644
index 000000000000..a997d23a7346
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-taner_1k_indic_glue_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English taner_1k_indic_glue DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: taner_1k_indic_glue
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taner_1k_indic_glue` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taner_1k_indic_glue_en_5.2.0_3.0_1700635610034.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taner_1k_indic_glue_en_5.2.0_3.0_1700635610034.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taner_1k_indic_glue|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|163.8 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/TaNER-1k-indic_glue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-taner_1k_naamapdam_fine_tuned_en.md b/docs/_posts/ahmedlone127/2023-11-22-taner_1k_naamapdam_fine_tuned_en.md
new file mode 100644
index 000000000000..422c95a7c865
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-taner_1k_naamapdam_fine_tuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English taner_1k_naamapdam_fine_tuned DistilBertForTokenClassification from livinNector
+author: John Snow Labs
+name: taner_1k_naamapdam_fine_tuned
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taner_1k_naamapdam_fine_tuned` is a English model originally trained by livinNector.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taner_1k_naamapdam_fine_tuned_en_5.2.0_3.0_1700669145891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taner_1k_naamapdam_fine_tuned_en_5.2.0_3.0_1700669145891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taner_1k_naamapdam_fine_tuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|163.8 MB|
+
+## References
+
+https://huggingface.co/livinNector/taNER-1k-naamapdam-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-taner_1k_v2_en.md b/docs/_posts/ahmedlone127/2023-11-22-taner_1k_v2_en.md
new file mode 100644
index 000000000000..87c8922cc45f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-taner_1k_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English taner_1k_v2 DistilBertForTokenClassification from livinNector
+author: John Snow Labs
+name: taner_1k_v2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taner_1k_v2` is a English model originally trained by livinNector.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taner_1k_v2_en_5.2.0_3.0_1700632269703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taner_1k_v2_en_5.2.0_3.0_1700632269703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taner_1k_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|163.8 MB|
+
+## References
+
+https://huggingface.co/livinNector/taNER-1k-V2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-taner_2k_indic_glue_en.md b/docs/_posts/ahmedlone127/2023-11-22-taner_2k_indic_glue_en.md
new file mode 100644
index 000000000000..20b4cfd29dda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-taner_2k_indic_glue_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English taner_2k_indic_glue DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: taner_2k_indic_glue
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taner_2k_indic_glue` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taner_2k_indic_glue_en_5.2.0_3.0_1700646553400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taner_2k_indic_glue_en_5.2.0_3.0_1700646553400.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taner_2k_indic_glue|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|166.7 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/TaNER-2k-indic_glue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-taner_4k_indic_glue_en.md b/docs/_posts/ahmedlone127/2023-11-22-taner_4k_indic_glue_en.md
new file mode 100644
index 000000000000..15c4bda569b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-taner_4k_indic_glue_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English taner_4k_indic_glue DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: taner_4k_indic_glue
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taner_4k_indic_glue` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taner_4k_indic_glue_en_5.2.0_3.0_1700649044676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taner_4k_indic_glue_en_5.2.0_3.0_1700649044676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taner_4k_indic_glue|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|172.5 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/TaNER-4k-indic_glue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-taner_500_en.md b/docs/_posts/ahmedlone127/2023-11-22-taner_500_en.md
new file mode 100644
index 000000000000..f0bd9cb10c1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-taner_500_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English taner_500 DistilBertForTokenClassification from livinNector
+author: John Snow Labs
+name: taner_500
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taner_500` is a English model originally trained by livinNector.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taner_500_en_5.2.0_3.0_1700674856384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taner_500_en_5.2.0_3.0_1700674856384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taner_500|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|162.4 MB|
+
+## References
+
+https://huggingface.co/livinNector/TaNER-500
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-taner_500_indic_glue_en.md b/docs/_posts/ahmedlone127/2023-11-22-taner_500_indic_glue_en.md
new file mode 100644
index 000000000000..409942c98b92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-taner_500_indic_glue_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English taner_500_indic_glue DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: taner_500_indic_glue
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taner_500_indic_glue` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taner_500_indic_glue_en_5.2.0_3.0_1700632284235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taner_500_indic_glue_en_5.2.0_3.0_1700632284235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taner_500_indic_glue|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|162.4 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/TaNER-500-indic_glue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-taner_500_naamapdam_fine_tuned_en.md b/docs/_posts/ahmedlone127/2023-11-22-taner_500_naamapdam_fine_tuned_en.md
new file mode 100644
index 000000000000..5636fbe4c968
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-taner_500_naamapdam_fine_tuned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English taner_500_naamapdam_fine_tuned DistilBertForTokenClassification from livinNector
+author: John Snow Labs
+name: taner_500_naamapdam_fine_tuned
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taner_500_naamapdam_fine_tuned` is a English model originally trained by livinNector.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taner_500_naamapdam_fine_tuned_en_5.2.0_3.0_1700639738234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taner_500_naamapdam_fine_tuned_en_5.2.0_3.0_1700639738234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taner_500_naamapdam_fine_tuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|162.4 MB|
+
+## References
+
+https://huggingface.co/livinNector/taNER-500-naamapdam-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-taner_500_v2_en.md b/docs/_posts/ahmedlone127/2023-11-22-taner_500_v2_en.md
new file mode 100644
index 000000000000..f39a58920d81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-taner_500_v2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English taner_500_v2 DistilBertForTokenClassification from livinNector
+author: John Snow Labs
+name: taner_500_v2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`taner_500_v2` is a English model originally trained by livinNector.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taner_500_v2_en_5.2.0_3.0_1700645382200.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taner_500_v2_en_5.2.0_3.0_1700645382200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taner_500_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|162.4 MB|
+
+## References
+
+https://huggingface.co/livinNector/taNER-500-V2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tbert_ner_test_en.md b/docs/_posts/ahmedlone127/2023-11-22-tbert_ner_test_en.md
new file mode 100644
index 000000000000..d2e834ad7d9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tbert_ner_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tbert_ner_test DistilBertForTokenClassification from ArunaSaraswathy
+author: John Snow Labs
+name: tbert_ner_test
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tbert_ner_test` is a English model originally trained by ArunaSaraswathy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tbert_ner_test_en_5.2.0_3.0_1700644067138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tbert_ner_test_en_5.2.0_3.0_1700644067138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tbert_ner_test|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ArunaSaraswathy/tbert_ner_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-team_gryffindor_distilbert_finetuned_ner_creditcardcontract_en.md b/docs/_posts/ahmedlone127/2023-11-22-team_gryffindor_distilbert_finetuned_ner_creditcardcontract_en.md
new file mode 100644
index 000000000000..abb283665a18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-team_gryffindor_distilbert_finetuned_ner_creditcardcontract_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English team_gryffindor_distilbert_finetuned_ner_creditcardcontract DistilBertForTokenClassification from timhbach
+author: John Snow Labs
+name: team_gryffindor_distilbert_finetuned_ner_creditcardcontract
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`team_gryffindor_distilbert_finetuned_ner_creditcardcontract` is a English model originally trained by timhbach.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/team_gryffindor_distilbert_finetuned_ner_creditcardcontract_en_5.2.0_3.0_1700627761570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/team_gryffindor_distilbert_finetuned_ner_creditcardcontract_en_5.2.0_3.0_1700627761570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|team_gryffindor_distilbert_finetuned_ner_creditcardcontract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/timhbach/Team-Gryffindor-DistilBERT-finetuned-ner-creditcardcontract
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-team_gryffindor_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-team_gryffindor_ner_en.md
new file mode 100644
index 000000000000..00617ba333c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-team_gryffindor_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English team_gryffindor_ner DistilBertForTokenClassification from timhbach
+author: John Snow Labs
+name: team_gryffindor_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`team_gryffindor_ner` is a English model originally trained by timhbach.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/team_gryffindor_ner_en_5.2.0_3.0_1700623679547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/team_gryffindor_ner_en_5.2.0_3.0_1700623679547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|team_gryffindor_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/timhbach/Team_Gryffindor_NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-test2_en.md b/docs/_posts/ahmedlone127/2023-11-22-test2_en.md
new file mode 100644
index 000000000000..929532632133
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-test2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English test2 DistilBertForTokenClassification from yam1ke
+author: John Snow Labs
+name: test2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test2` is a English model originally trained by yam1ke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test2_en_5.2.0_3.0_1700682010269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test2_en_5.2.0_3.0_1700682010269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/yam1ke/test2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-test4_en.md b/docs/_posts/ahmedlone127/2023-11-22-test4_en.md
new file mode 100644
index 000000000000..d6c7be19d570
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-test4_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English test4 DistilBertForTokenClassification from yam1ke
+author: John Snow Labs
+name: test4
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test4` is a English model originally trained by yam1ke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test4_en_5.2.0_3.0_1700671278388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test4_en_5.2.0_3.0_1700671278388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_distilbert_base_multilingual_cased|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/Erdenebold/test-distilbert-base-multilingual-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-test_ner3_en.md b/docs/_posts/ahmedlone127/2023-11-22-test_ner3_en.md
new file mode 100644
index 000000000000..41504e7ce3d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-test_ner3_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English test_ner3 DistilBertForTokenClassification from chintagunta85
+author: John Snow Labs
+name: test_ner3
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_ner3` is a English model originally trained by chintagunta85.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_ner3_en_5.2.0_3.0_1700650330909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_ner3_en_5.2.0_3.0_1700650330909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_ner3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/chintagunta85/test_ner3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-test_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-test_ner_en.md
new file mode 100644
index 000000000000..898e08a24e32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-test_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English test_ner DistilBertForTokenClassification from Falah
+author: John Snow Labs
+name: test_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_ner` is a English model originally trained by Falah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_ner_en_5.2.0_3.0_1700626721192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_ner_en_5.2.0_3.0_1700626721192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Falah/test-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-test_ner_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-test_ner_finetuned_ner_en.md
new file mode 100644
index 000000000000..9dfeff71aa1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-test_ner_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English test_ner_finetuned_ner DistilBertForTokenClassification from HYM
+author: John Snow Labs
+name: test_ner_finetuned_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_ner_finetuned_ner` is a English model originally trained by HYM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_ner_finetuned_ner_en_5.2.0_3.0_1700636973549.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_ner_finetuned_ner_en_5.2.0_3.0_1700636973549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_ner_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/HYM/test_ner-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-test_train_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-test_train_model_en.md
new file mode 100644
index 000000000000..bdb02ee3e0b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-test_train_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English test_train_model DistilBertForTokenClassification from terhdavid
+author: John Snow Labs
+name: test_train_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_train_model` is a English model originally trained by terhdavid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_train_model_en_5.2.0_3.0_1700681187340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_train_model_en_5.2.0_3.0_1700681187340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_train_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/terhdavid/test-train-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-test_wnut_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-test_wnut_model_en.md
new file mode 100644
index 000000000000..54f18dacaa02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-test_wnut_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English test_wnut_model DistilBertForTokenClassification from blambert
+author: John Snow Labs
+name: test_wnut_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_wnut_model` is a English model originally trained by blambert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_wnut_model_en_5.2.0_3.0_1700621773048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_wnut_model_en_5.2.0_3.0_1700621773048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testingmodel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|mn|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/Blgn94/testingModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-testrun_model_en.md b/docs/_posts/ahmedlone127/2023-11-22-testrun_model_en.md
new file mode 100644
index 000000000000..5d2eb69ae5fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-testrun_model_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English testrun_model DistilBertForTokenClassification from adasgaleus
+author: John Snow Labs
+name: testrun_model
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testrun_model` is a English model originally trained by adasgaleus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testrun_model_en_5.2.0_3.0_1700645596478.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testrun_model_en_5.2.0_3.0_1700645596478.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testrun_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/adasgaleus/testrun_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tiny_random_distilbertfortokenclassification_hf_tiny_model_private_en.md b/docs/_posts/ahmedlone127/2023-11-22-tiny_random_distilbertfortokenclassification_hf_tiny_model_private_en.md
new file mode 100644
index 000000000000..622f18ec1c74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tiny_random_distilbertfortokenclassification_hf_tiny_model_private_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tiny_random_distilbertfortokenclassification_hf_tiny_model_private DistilBertForTokenClassification from hf-tiny-model-private
+author: John Snow Labs
+name: tiny_random_distilbertfortokenclassification_hf_tiny_model_private
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_random_distilbertfortokenclassification_hf_tiny_model_private` is a English model originally trained by hf-tiny-model-private.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_random_distilbertfortokenclassification_hf_tiny_model_private_en_5.2.0_3.0_1700678338641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_random_distilbertfortokenclassification_hf_tiny_model_private_en_5.2.0_3.0_1700678338641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_random_distilbertfortokenclassification_hf_tiny_model_private|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|347.3 KB|
+
+## References
+
+https://huggingface.co/hf-tiny-model-private/tiny-random-DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tmp_trainer_en.md b/docs/_posts/ahmedlone127/2023-11-22-tmp_trainer_en.md
new file mode 100644
index 000000000000..6a066f64e507
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tmp_trainer_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tmp_trainer DistilBertForTokenClassification from anyuanay
+author: John Snow Labs
+name: tmp_trainer
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tmp_trainer` is a English model originally trained by anyuanay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tmp_trainer_en_5.2.0_3.0_1700664745538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tmp_trainer_en_5.2.0_3.0_1700664745538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tmp_trainer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/anyuanay/tmp_trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-token_classification_test_en.md b/docs/_posts/ahmedlone127/2023-11-22-token_classification_test_en.md
new file mode 100644
index 000000000000..ed08d2f2ee17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-token_classification_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English token_classification_test DistilBertForTokenClassification from casonshep
+author: John Snow Labs
+name: token_classification_test
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_classification_test` is a English model originally trained by casonshep.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_classification_test_en_5.2.0_3.0_1700635298027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_classification_test_en_5.2.0_3.0_1700635298027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_classification_test|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/casonshep/token_classification_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-token_final_tunned_en.md b/docs/_posts/ahmedlone127/2023-11-22-token_final_tunned_en.md
new file mode 100644
index 000000000000..c1da497db082
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-token_final_tunned_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English token_final_tunned DistilBertForTokenClassification from vinayak361
+author: John Snow Labs
+name: token_final_tunned
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_final_tunned` is a English model originally trained by vinayak361.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_final_tunned_en_5.2.0_3.0_1700659234065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_final_tunned_en_5.2.0_3.0_1700659234065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_final_tunned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vinayak361/token_final_tunned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_en.md b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_en.md
new file mode 100644
index 000000000000..bc6c55eb8134
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English token_fine_tunned_flipkart_2 DistilBertForTokenClassification from vinayak361
+author: John Snow Labs
+name: token_fine_tunned_flipkart_2
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_fine_tunned_flipkart_2` is a English model originally trained by vinayak361.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_en_5.2.0_3.0_1700634798346.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_en_5.2.0_3.0_1700634798346.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_fine_tunned_flipkart_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vinayak361/token_fine_tunned_flipkart_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_galician_en.md b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_galician_en.md
new file mode 100644
index 000000000000..d9cba1e71383
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_galician_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English token_fine_tunned_flipkart_2_galician DistilBertForTokenClassification from vinayak361
+author: John Snow Labs
+name: token_fine_tunned_flipkart_2_galician
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_fine_tunned_flipkart_2_galician` is a English model originally trained by vinayak361.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_galician_en_5.2.0_3.0_1700654252458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_galician_en_5.2.0_3.0_1700654252458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_fine_tunned_flipkart_2_galician|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vinayak361/token_fine_tunned_flipkart_2_gl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl11_en.md b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl11_en.md
new file mode 100644
index 000000000000..a6373f10d151
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl11_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English token_fine_tunned_flipkart_2_gl11 DistilBertForTokenClassification from vinayak361
+author: John Snow Labs
+name: token_fine_tunned_flipkart_2_gl11
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_fine_tunned_flipkart_2_gl11` is a English model originally trained by vinayak361.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_gl11_en_5.2.0_3.0_1700632388524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_gl11_en_5.2.0_3.0_1700632388524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_fine_tunned_flipkart_2_gl11|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vinayak361/token_fine_tunned_flipkart_2_gl11
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl6_en.md b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl6_en.md
new file mode 100644
index 000000000000..2dfc6dbdfbd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl6_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English token_fine_tunned_flipkart_2_gl6 DistilBertForTokenClassification from vinayak361
+author: John Snow Labs
+name: token_fine_tunned_flipkart_2_gl6
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_fine_tunned_flipkart_2_gl6` is a English model originally trained by vinayak361.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_gl6_en_5.2.0_3.0_1700623540069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_gl6_en_5.2.0_3.0_1700623540069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_fine_tunned_flipkart_2_gl6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vinayak361/token_fine_tunned_flipkart_2_gl6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl7_en.md b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl7_en.md
new file mode 100644
index 000000000000..c30c965c5e3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl7_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English token_fine_tunned_flipkart_2_gl7 DistilBertForTokenClassification from vinayak361
+author: John Snow Labs
+name: token_fine_tunned_flipkart_2_gl7
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_fine_tunned_flipkart_2_gl7` is a English model originally trained by vinayak361.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_gl7_en_5.2.0_3.0_1700652125288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_gl7_en_5.2.0_3.0_1700652125288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_fine_tunned_flipkart_2_gl7|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vinayak361/token_fine_tunned_flipkart_2_gl7
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl9_en.md b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl9_en.md
new file mode 100644
index 000000000000..b4d714b8238c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_2_gl9_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English token_fine_tunned_flipkart_2_gl9 DistilBertForTokenClassification from vinayak361
+author: John Snow Labs
+name: token_fine_tunned_flipkart_2_gl9
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_fine_tunned_flipkart_2_gl9` is a English model originally trained by vinayak361.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_gl9_en_5.2.0_3.0_1700623819818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_2_gl9_en_5.2.0_3.0_1700623819818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_fine_tunned_flipkart_2_gl9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vinayak361/token_fine_tunned_flipkart_2_gl9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_en.md b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_en.md
new file mode 100644
index 000000000000..e5ef82e6bf83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-token_fine_tunned_flipkart_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English token_fine_tunned_flipkart DistilBertForTokenClassification from vinayak361
+author: John Snow Labs
+name: token_fine_tunned_flipkart
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_fine_tunned_flipkart` is a English model originally trained by vinayak361.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_en_5.2.0_3.0_1700653422928.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_fine_tunned_flipkart_en_5.2.0_3.0_1700653422928.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_fine_tunned_flipkart|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vinayak361/token_fine_tunned_flipkart
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-token_level_stereotype_detector_en.md b/docs/_posts/ahmedlone127/2023-11-22-token_level_stereotype_detector_en.md
new file mode 100644
index 000000000000..bc8887a6a6d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-token_level_stereotype_detector_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English token_level_stereotype_detector DistilBertForTokenClassification from wu981526092
+author: John Snow Labs
+name: token_level_stereotype_detector
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`token_level_stereotype_detector` is a English model originally trained by wu981526092.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_level_stereotype_detector_en_5.2.0_3.0_1700623659429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_level_stereotype_detector_en_5.2.0_3.0_1700623659429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_level_stereotype_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/wu981526092/Token-Level-Stereotype-Detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tokenclass_wnut_en.md b/docs/_posts/ahmedlone127/2023-11-22-tokenclass_wnut_en.md
new file mode 100644
index 000000000000..71a91ba32563
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tokenclass_wnut_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tokenclass_wnut DistilBertForTokenClassification from Madhura
+author: John Snow Labs
+name: tokenclass_wnut
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tokenclass_wnut` is a English model originally trained by Madhura.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tokenclass_wnut_en_5.2.0_3.0_1700650763879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tokenclass_wnut_en_5.2.0_3.0_1700650763879.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tokenclass_wnut|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Madhura/tokenclass-wnut
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-try_connll_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-try_connll_finetuned_ner_en.md
new file mode 100644
index 000000000000..482c7da67c2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-try_connll_finetuned_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English try_connll_finetuned_ner DistilBertForTokenClassification from suwani
+author: John Snow Labs
+name: try_connll_finetuned_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`try_connll_finetuned_ner` is a English model originally trained by suwani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/try_connll_finetuned_ner_en_5.2.0_3.0_1700642408528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/try_connll_finetuned_ner_en_5.2.0_3.0_1700642408528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|try_connll_finetuned_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/suwani/try_connll-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tryner_2k_en.md b/docs/_posts/ahmedlone127/2023-11-22-tryner_2k_en.md
new file mode 100644
index 000000000000..e51e7da6ce08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tryner_2k_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tryner_2k DistilBertForTokenClassification from livinNector
+author: John Snow Labs
+name: tryner_2k
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tryner_2k` is a English model originally trained by livinNector.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tryner_2k_en_5.2.0_3.0_1700676570276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tryner_2k_en_5.2.0_3.0_1700676570276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tryner_2k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|166.7 MB|
+
+## References
+
+https://huggingface.co/livinNector/TryNer-2k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tryner_4k_en.md b/docs/_posts/ahmedlone127/2023-11-22-tryner_4k_en.md
new file mode 100644
index 000000000000..074c7f9f6934
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tryner_4k_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tryner_4k DistilBertForTokenClassification from livinNector
+author: John Snow Labs
+name: tryner_4k
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tryner_4k` is a English model originally trained by livinNector.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tryner_4k_en_5.2.0_3.0_1700679660758.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tryner_4k_en_5.2.0_3.0_1700679660758.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tryner_4k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|172.5 MB|
+
+## References
+
+https://huggingface.co/livinNector/TryNer-4k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_1k_en.md b/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_1k_en.md
new file mode 100644
index 000000000000..0411994db8c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_1k_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tryner_tabert_1k DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: tryner_tabert_1k
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tryner_tabert_1k` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tryner_tabert_1k_en_5.2.0_3.0_1700633428325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tryner_tabert_1k_en_5.2.0_3.0_1700633428325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tryner_tabert_1k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|163.8 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/TryNER-tabert-1k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_2k_en.md b/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_2k_en.md
new file mode 100644
index 000000000000..86899ddda752
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_2k_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tryner_tabert_2k DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: tryner_tabert_2k
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tryner_tabert_2k` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tryner_tabert_2k_en_5.2.0_3.0_1700642877270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tryner_tabert_2k_en_5.2.0_3.0_1700642877270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tryner_tabert_2k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|166.7 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/TryNER-tabert-2k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_4k_en.md b/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_4k_en.md
new file mode 100644
index 000000000000..dfb7c318ec96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_4k_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tryner_tabert_4k DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: tryner_tabert_4k
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tryner_tabert_4k` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tryner_tabert_4k_en_5.2.0_3.0_1700660105026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tryner_tabert_4k_en_5.2.0_3.0_1700660105026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tryner_tabert_4k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|172.5 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/TryNER-tabert-4k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_500_en.md b/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_500_en.md
new file mode 100644
index 000000000000..2b04f1a53340
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-tryner_tabert_500_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tryner_tabert_500 DistilBertForTokenClassification from AnanthZeke
+author: John Snow Labs
+name: tryner_tabert_500
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tryner_tabert_500` is a English model originally trained by AnanthZeke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tryner_tabert_500_en_5.2.0_3.0_1700637784683.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tryner_tabert_500_en_5.2.0_3.0_1700637784683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tryner_tabert_500|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|162.4 MB|
+
+## References
+
+https://huggingface.co/AnanthZeke/TryNER-tabert-500
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-tutorial_en.md b/docs/_posts/ahmedlone127/2023-11-22-tutorial_en.md
new file mode 100644
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@@ -0,0 +1,93 @@
+---
+layout: model
+title: English tutorial DistilBertForTokenClassification from lrmironova
+author: John Snow Labs
+name: tutorial
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tutorial` is a English model originally trained by lrmironova.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tutorial_en_5.2.0_3.0_1700665859595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tutorial_en_5.2.0_3.0_1700665859595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tutorial|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/lrmironova/tutorial
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-un_ner_test_en.md b/docs/_posts/ahmedlone127/2023-11-22-un_ner_test_en.md
new file mode 100644
index 000000000000..80201ecc1000
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-un_ner_test_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English un_ner_test DistilBertForTokenClassification from saint1729
+author: John Snow Labs
+name: un_ner_test
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`un_ner_test` is a English model originally trained by saint1729.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/un_ner_test_en_5.2.0_3.0_1700628008297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/un_ner_test_en_5.2.0_3.0_1700628008297.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|un_ner_test|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/saint1729/un-ner-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-uner_distilbert_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-uner_distilbert_ner_en.md
new file mode 100644
index 000000000000..43cba1f43ec7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-uner_distilbert_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English uner_distilbert_ner DistilBertForTokenClassification from mirfan899
+author: John Snow Labs
+name: uner_distilbert_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`uner_distilbert_ner` is a English model originally trained by mirfan899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uner_distilbert_ner_en_5.2.0_3.0_1700623832046.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uner_distilbert_ner_en_5.2.0_3.0_1700623832046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uner_distilbert_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/mirfan899/uner-distilbert-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-vietai_asm1_ner_en.md b/docs/_posts/ahmedlone127/2023-11-22-vietai_asm1_ner_en.md
new file mode 100644
index 000000000000..aeefc6a0b65c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-vietai_asm1_ner_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English vietai_asm1_ner DistilBertForTokenClassification from QyQy
+author: John Snow Labs
+name: vietai_asm1_ner
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vietai_asm1_ner` is a English model originally trained by QyQy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vietai_asm1_ner_en_5.2.0_3.0_1700646261262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vietai_asm1_ner_en_5.2.0_3.0_1700646261262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wikineural_multilingual_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/iiShreya/wikineural-multilingual-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-wnut_model_navendux_en.md b/docs/_posts/ahmedlone127/2023-11-22-wnut_model_navendux_en.md
new file mode 100644
index 000000000000..25742f5c1849
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-wnut_model_navendux_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English wnut_model_navendux DistilBertForTokenClassification from navendux
+author: John Snow Labs
+name: wnut_model_navendux
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wnut_model_navendux` is a English model originally trained by navendux.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wnut_model_navendux_en_5.2.0_3.0_1700663932312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wnut_model_navendux_en_5.2.0_3.0_1700663932312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wnut_model_navendux|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/navendux/wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-wnut_model_realgon_en.md b/docs/_posts/ahmedlone127/2023-11-22-wnut_model_realgon_en.md
new file mode 100644
index 000000000000..b8a969a27c26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-wnut_model_realgon_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English wnut_model_realgon DistilBertForTokenClassification from Realgon
+author: John Snow Labs
+name: wnut_model_realgon
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wnut_model_realgon` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wnut_model_realgon_en_5.2.0_3.0_1700672181854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wnut_model_realgon_en_5.2.0_3.0_1700672181854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wnut_model_realgon|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Realgon/wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-22-wolof_finetuned_ner_accelerate_en.md b/docs/_posts/ahmedlone127/2023-11-22-wolof_finetuned_ner_accelerate_en.md
new file mode 100644
index 000000000000..86960644d3ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-22-wolof_finetuned_ner_accelerate_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English wolof_finetuned_ner_accelerate DistilBertForTokenClassification from vonewman
+author: John Snow Labs
+name: wolof_finetuned_ner_accelerate
+date: 2023-11-22
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wolof_finetuned_ner_accelerate` is a English model originally trained by vonewman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wolof_finetuned_ner_accelerate_en_5.2.0_3.0_1700667643646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wolof_finetuned_ner_accelerate_en_5.2.0_3.0_1700667643646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_finetuned_squadv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/monakth/distilbert-base-cased-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_cased_qa_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_cased_qa_squad2_en.md
new file mode 100644
index 000000000000..2ef4fbe1943e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_cased_qa_squad2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model
+author: John Snow Labs
+name: distilbert_base_cased_qa_squad2
+date: 2023-11-26
+tags: [open_source, distilbert, question_answering, en, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-cased-distilled-squad` is a English model originally trained by Hugging Face.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_qa_squad2_en_5.2.0_3.0_1701010357429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_qa_squad2_en_5.2.0_3.0_1701010357429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_base_cased_qa_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_base_cased_qa_squad2","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.distil_bert.base_cased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_qa_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+https://huggingface.co/distilbert-base-cased-distilled-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_cased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_cased_squad_en.md
new file mode 100644
index 000000000000..f68b98273e08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_cased_squad_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_cased_squad DistilBertForQuestionAnswering from sento800
+author: John Snow Labs
+name: distilbert_base_cased_squad
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_squad` is a English model originally trained by sento800.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_squad_en_5.2.0_3.0_1701039804621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_squad_en_5.2.0_3.0_1701039804621.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_gameboy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/GameBoy/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_uncased_finetuned_squad_gaya_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_uncased_finetuned_squad_gaya_en.md
new file mode 100644
index 000000000000..f3c0b1291c4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_uncased_finetuned_squad_gaya_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_gaya DistilBertForQuestionAnswering from gaya
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_gaya
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_gaya` is a English model originally trained by gaya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_gaya_en_5.2.0_3.0_1701018399849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_gaya_en_5.2.0_3.0_1701018399849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_gaya|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/gaya/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_uncased_finetuned_squad_georgio_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_uncased_finetuned_squad_georgio_en.md
new file mode 100644
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--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_base_uncased_finetuned_squad_georgio_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_georgio DistilBertForQuestionAnswering from georgio
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_georgio
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_georgio` is a English model originally trained by georgio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_georgio_en_5.2.0_3.0_1701017990008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_georgio_en_5.2.0_3.0_1701017990008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_persian_farsi_zwnj_base_mlm_pquad_finetuned_pquad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|281.8 MB|
+
+## References
+
+https://huggingface.co/Gholamreza/distilbert-fa-zwnj-base-MLM-pquad-finetuned-pquad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_21iridescent_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_21iridescent_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..52e332ab79c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_21iridescent_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from 21iridescent)
+author: John Snow Labs
+name: distilbert_qa_21iridescent_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `21iridescent`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_21iridescent_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010360347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_21iridescent_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010360347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_21iridescent_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_21iridescent_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_21iridescent").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_21iridescent_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/21iridescent/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_aaraki_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_aaraki_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..d9cd0e86bb6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_aaraki_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from aaraki)
+author: John Snow Labs
+name: distilbert_qa_aaraki_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `aaraki`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_aaraki_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011155118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_aaraki_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011155118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_aaraki_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_aaraki_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_aaraki").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_aaraki_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aaraki/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_adrian_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_adrian_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..5dc0d71afe80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_adrian_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from Adrian)
+author: John Snow Labs
+name: distilbert_qa_adrian_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `Adrian`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_adrian_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010373023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_adrian_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010373023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_adrian_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_adrian_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_adrian_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Adrian/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_akr_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_akr_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..e6096bb2510c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_akr_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from akr)
+author: John Snow Labs
+name: distilbert_qa_akr_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `akr`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_akr_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011561084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_akr_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011561084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_akr_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_akr_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_akr").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_akr_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/akr/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_andi611_base_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_andi611_base_uncased_squad_en.md
new file mode 100644
index 000000000000..25bc131a252b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_andi611_base_uncased_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from andi611) Squad
+author: John Snow Labs
+name: distilbert_qa_andi611_base_uncased_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-squad` is a English model originally trained by `andi611`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_andi611_base_uncased_squad_en_5.2.0_3.0_1701010993857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_andi611_base_uncased_squad_en_5.2.0_3.0_1701010993857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_andi611_base_uncased_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_andi611_base_uncased_squad","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_andi611").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_andi611_base_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/andi611/distilbert-base-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_anurag0077_base_uncased_finetuned_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_anurag0077_base_uncased_finetuned_squad2_en.md
new file mode 100644
index 000000000000..cce504a80b7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_anurag0077_base_uncased_finetuned_squad2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from anurag0077)
+author: John Snow Labs
+name: distilbert_qa_anurag0077_base_uncased_finetuned_squad2
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad2` is a English model originally trained by `anurag0077`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_anurag0077_base_uncased_finetuned_squad2_en_5.2.0_3.0_1701011556255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_anurag0077_base_uncased_finetuned_squad2_en_5.2.0_3.0_1701011556255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_anurag0077_base_uncased_finetuned_squad2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_anurag0077_base_uncased_finetuned_squad2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.distil_bert.base_uncased.by_anurag0077").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_anurag0077_base_uncased_finetuned_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anurag0077/distilbert-base-uncased-finetuned-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_anurag0077_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_anurag0077_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..b2f7a6b8156b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_anurag0077_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from anurag0077)
+author: John Snow Labs
+name: distilbert_qa_anurag0077_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `anurag0077`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_anurag0077_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011318521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_anurag0077_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011318521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_anurag0077_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_anurag0077_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased_v3.by_anurag0077").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_anurag0077_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anurag0077/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_arvalinno_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_arvalinno_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..ce97b422a928
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_arvalinno_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from arvalinno)
+author: John Snow Labs
+name: distilbert_qa_arvalinno_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `arvalinno`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_arvalinno_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011776100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_arvalinno_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011776100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_arvalinno_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_arvalinno_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_arvalinno").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_arvalinno_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/arvalinno/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_avioo1_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_avioo1_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..a50651432ba4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_avioo1_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from avioo1)
+author: John Snow Labs
+name: distilbert_qa_avioo1_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `avioo1`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_avioo1_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011139859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_avioo1_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011139859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_avioo1_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_avioo1_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_avioo1").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_avioo1_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/avioo1/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_cased_distilled_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_cased_distilled_chaii_en.md
new file mode 100644
index 000000000000..991c1a295a4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_cased_distilled_chaii_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Cased model (from SauravMaheshkar)
+author: John Snow Labs
+name: distilbert_qa_base_cased_distilled_chaii
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-cased-distilled-chaii` is a English model originally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_cased_distilled_chaii_en_5.2.0_3.0_1701011185049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_cased_distilled_chaii_en_5.2.0_3.0_1701011185049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_cased_distilled_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_cased_distilled_chaii","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.distil_bert.base_cased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_cased_distilled_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/distilbert-base-cased-distilled-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_cased_distilled_squad_finetuned_squad_small_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_cased_distilled_squad_finetuned_squad_small_en.md
new file mode 100644
index 000000000000..da51dff91f60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_cased_distilled_squad_finetuned_squad_small_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Small model (from ncduy)
+author: John Snow Labs
+name: distilbert_qa_base_cased_distilled_squad_finetuned_squad_small
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-cased-distilled-squad-finetuned-squad-small` is a English model originally trained by `ncduy`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_cased_distilled_squad_finetuned_squad_small_en_5.2.0_3.0_1701011322815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_cased_distilled_squad_finetuned_squad_small_en_5.2.0_3.0_1701011322815.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_cased_distilled_squad_finetuned_squad_small","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_cased_distilled_squad_finetuned_squad_small","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_small_cased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_cased_distilled_squad_finetuned_squad_small|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ncduy/distilbert-base-cased-distilled-squad-finetuned-squad-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_cased_distilled_squad_finetuned_squad_test_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_cased_distilled_squad_finetuned_squad_test_en.md
new file mode 100644
index 000000000000..97fc9cf90e8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_cased_distilled_squad_finetuned_squad_test_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from ncduy)
+author: John Snow Labs
+name: distilbert_qa_base_cased_distilled_squad_finetuned_squad_test
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-cased-distilled-squad-finetuned-squad-test` is a English model originally trained by `ncduy`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_cased_distilled_squad_finetuned_squad_test_en_5.2.0_3.0_1701011553029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_cased_distilled_squad_finetuned_squad_test_en_5.2.0_3.0_1701011553029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_cased_distilled_squad_finetuned_squad_test","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_cased_distilled_squad_finetuned_squad_test","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_cased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_cased_distilled_squad_finetuned_squad_test|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ncduy/distilbert-base-cased-distilled-squad-finetuned-squad-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_config1_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_config1_en.md
new file mode 100644
index 000000000000..cc7a666c3068
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_config1_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Cased model (from nlpunibo)
+author: John Snow Labs
+name: distilbert_qa_base_config1
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert_base_config1` is a English model originally trained by `nlpunibo`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_config1_en_5.2.0_3.0_1701011433269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_config1_en_5.2.0_3.0_1701011433269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_config1","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_config1","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.base_config1.by_nlpunibo").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_config1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/nlpunibo/distilbert_base_config1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_config2_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_config2_en.md
new file mode 100644
index 000000000000..578256796c99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_config2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Cased model (from nlpunibo)
+author: John Snow Labs
+name: distilbert_qa_base_config2
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert_base_config2` is a English model originally trained by `nlpunibo`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_config2_en_5.2.0_3.0_1701011776227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_config2_en_5.2.0_3.0_1701011776227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_config2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_config2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.base_config2.by_nlpunibo").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_config2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/nlpunibo/distilbert_base_config2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_config3_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_config3_en.md
new file mode 100644
index 000000000000..f1cd80e9a1da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_config3_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Cased model (from nlpunibo)
+author: John Snow Labs
+name: distilbert_qa_base_config3
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert_base_config3` is a English model originally trained by `nlpunibo`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_config3_en_5.2.0_3.0_1701012026976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_config3_en_5.2.0_3.0_1701012026976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_config3","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_config3","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.base_config3.by_nlpunibo").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_config3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/nlpunibo/distilbert_base_config3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_squad2_custom_dataset_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_squad2_custom_dataset_en.md
new file mode 100644
index 000000000000..00537ca6d473
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_squad2_custom_dataset_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Cased model (from superspray)
+author: John Snow Labs
+name: distilbert_qa_base_squad2_custom_dataset
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert_base_squad2_custom_dataset` is a English model originally trained by `superspray`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_squad2_custom_dataset_en_5.2.0_3.0_1701011599794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_squad2_custom_dataset_en_5.2.0_3.0_1701011599794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_squad2_custom_dataset","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_squad2_custom_dataset","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.distil_bert.base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_squad2_custom_dataset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/superspray/distilbert_base_squad2_custom_dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_3feb_2022_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_3feb_2022_finetuned_squad_en.md
new file mode 100644
index 000000000000..e10a393630be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_3feb_2022_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from sunitha)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_3feb_2022_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-3feb-2022-finetuned-squad` is a English model originally trained by `sunitha`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_3feb_2022_finetuned_squad_en_5.2.0_3.0_1701012022260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_3feb_2022_finetuned_squad_en_5.2.0_3.0_1701012022260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_3feb_2022_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_3feb_2022_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_sunitha").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_3feb_2022_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sunitha/distilbert-base-uncased-3feb-2022-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_distilled_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_distilled_chaii_en.md
new file mode 100644
index 000000000000..8a999458f2d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_distilled_chaii_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Uncased model (from SauravMaheshkar)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_distilled_chaii
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-distilled-chaii` is a English model originally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_distilled_chaii_en_5.2.0_3.0_1701012218734.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_distilled_chaii_en_5.2.0_3.0_1701012218734.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_distilled_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_distilled_chaii","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.distil_bert.base_uncased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_distilled_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/distilbert-base-uncased-distilled-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_distilled_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_distilled_squad_en.md
new file mode 100644
index 000000000000..96c16df6544a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_distilled_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Uncased model
+author: John Snow Labs
+name: distilbert_qa_base_uncased_distilled_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-distilled-squad` is a English model originally trained by HuggingFace.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_distilled_squad_en_5.2.0_3.0_1701011782917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_distilled_squad_en_5.2.0_3.0_1701011782917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_distilled_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_distilled_squad","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_uploaded by huggingface").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_distilled_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/distilbert-base-uncased-distilled-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_distilled_squad_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_distilled_squad_finetuned_squad_en.md
new file mode 100644
index 000000000000..6b7c61519e73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_distilled_squad_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from deepakvk)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_distilled_squad_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-distilled-squad-finetuned-squad` is a English model originally trained by `deepakvk`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_distilled_squad_finetuned_squad_en_5.2.0_3.0_1701011780408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_distilled_squad_finetuned_squad_en_5.2.0_3.0_1701011780408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_distilled_squad_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_distilled_squad_finetuned_squad","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_deepakvk").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_distilled_squad_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/deepakvk/distilbert-base-uncased-distilled-squad-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_advers_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_advers_en.md
new file mode 100644
index 000000000000..aadebf93208e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_advers_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from T-qualizer)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_advers
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-advers` is a English model originally trained by `T-qualizer`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_advers_en_5.2.0_3.0_1701012418747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_advers_en_5.2.0_3.0_1701012418747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_advers","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_advers","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.base_uncased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_advers|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/T-qualizer/distilbert-base-uncased-finetuned-advers
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_duorc_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_duorc_en.md
new file mode 100644
index 000000000000..b91aa0832568
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_duorc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from machine2049)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_duorc
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-duorc_distilbert` is a English model originally trained by `machine2049`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_duorc_en_5.2.0_3.0_1701012032139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_duorc_en_5.2.0_3.0_1701012032139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_duorc","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_duorc","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_duorc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/machine2049/distilbert-base-uncased-finetuned-duorc_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_indosquad_v2_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_indosquad_v2_en.md
new file mode 100644
index 000000000000..34002a19c4e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_indosquad_v2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from arvalinno)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_indosquad_v2
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-indosquad-v2` is a English model originally trained by `arvalinno`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_indosquad_v2_en_5.2.0_3.0_1701011217942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_indosquad_v2_en_5.2.0_3.0_1701011217942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_indosquad_v2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_indosquad_v2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased_v2").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_indosquad_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/arvalinno/distilbert-base-uncased-finetuned-indosquad-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_infovqa_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_infovqa_en.md
new file mode 100644
index 000000000000..34a20f6dd8e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_infovqa_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from tiennvcs) Infovqa
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_infovqa
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-infovqa` is a English model originally trained by `tiennvcs`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_infovqa_en_5.2.0_3.0_1701012029724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_infovqa_en_5.2.0_3.0_1701012029724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_infovqa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_infovqa","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.base_uncased.by_tiennvcs").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_infovqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tiennvcs/distilbert-base-uncased-finetuned-infovqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_jumbling_squad_15_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_jumbling_squad_15_en.md
new file mode 100644
index 000000000000..91fc1736643a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_jumbling_squad_15_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from huxxx657)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_jumbling_squad_15
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-jumbling-squad-15` is a English model originally trained by `huxxx657`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_jumbling_squad_15_en_5.2.0_3.0_1701012223728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_jumbling_squad_15_en_5.2.0_3.0_1701012223728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_jumbling_squad_15","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_jumbling_squad_15","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased_v2.by_huxxx657").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_jumbling_squad_15|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/huxxx657/distilbert-base-uncased-finetuned-jumbling-squad-15
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_natural_questions_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_natural_questions_en.md
new file mode 100644
index 000000000000..c18f6ddeae40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_natural_questions_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from datarpit)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_natural_questions
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-natural-questions` is a English model originally trained by `datarpit`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_natural_questions_en_5.2.0_3.0_1701012203834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_natural_questions_en_5.2.0_3.0_1701012203834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_natural_questions","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_natural_questions","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.base_uncased.by_datarpit").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_natural_questions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/datarpit/distilbert-base-uncased-finetuned-natural-questions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad3_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad3_en.md
new file mode 100644
index 000000000000..984172d9393b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad3_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from anurag0077)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_squad3
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad3` is a English model originally trained by `anurag0077`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_squad3_en_5.2.0_3.0_1701011402173.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_squad3_en_5.2.0_3.0_1701011402173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_squad3","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_squad3","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_anurag0077").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_squad3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/anurag0077/distilbert-base-uncased-finetuned-squad3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_colab_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_colab_en.md
new file mode 100644
index 000000000000..7f6af7a03b41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_colab_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from Adrian) Squad2
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_squad_colab
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad-colab` is a English model originally trained by `Adrian`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_squad_colab_en_5.2.0_3.0_1701012391972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_squad_colab_en_5.2.0_3.0_1701012391972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_squad_colab","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_squad_colab","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased_colab.by_Adrian").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_squad_colab|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Adrian/distilbert-base-uncased-finetuned-squad-colab
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..e7d0963c6ddb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_qa_base_uncased_finetuned_squad DistilBertForQuestionAnswering from machine2049
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_base_uncased_finetuned_squad` is a English model originally trained by machine2049.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011576854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011576854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/machine2049/distilbert-base-uncased-finetuned-squad_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_frozen_v2_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_frozen_v2_en.md
new file mode 100644
index 000000000000..78f2da8841a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_frozen_v2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from ericRosello)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_squad_frozen_v2
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad-frozen-v2` is a English model originally trained by `ericRosello`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_squad_frozen_v2_en_5.2.0_3.0_1701012420797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_squad_frozen_v2_en_5.2.0_3.0_1701012420797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_squad_frozen_v2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_squad_frozen_v2","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased_v2.by_ericRosello").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_squad_frozen_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/ericRosello/distilbert-base-uncased-finetuned-squad-frozen-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_v1_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_v1_en.md
new file mode 100644
index 000000000000..32f0855e77eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_squad_v1_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from lewtun)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_squad_v1
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad-v1` is a English model originally trained by `lewtun`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_squad_v1_en_5.2.0_3.0_1701012571504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_squad_v1_en_5.2.0_3.0_1701012571504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_squad_v1","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_squad_v1","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_lewtun").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_squad_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/lewtun/distilbert-base-uncased-finetuned-squad-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_triviaqa_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_triviaqa_en.md
new file mode 100644
index 000000000000..94bb9e03c9f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_finetuned_triviaqa_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from FabianWillner)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_finetuned_triviaqa
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-triviaqa` is a English model originally trained by `FabianWillner`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_triviaqa_en_5.2.0_3.0_1701012767125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_finetuned_triviaqa_en_5.2.0_3.0_1701012767125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_triviaqa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_finetuned_triviaqa","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.trivia.distil_bert.base_uncased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_finetuned_triviaqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/FabianWillner/distilbert-base-uncased-finetuned-triviaqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_gradient_clinic_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_gradient_clinic_en.md
new file mode 100644
index 000000000000..5b1699d9be4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_gradient_clinic_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from charlieoneill)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_gradient_clinic
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-gradient-clinic` is a English model originally trained by `charlieoneill`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_gradient_clinic_en_5.2.0_3.0_1701012221147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_gradient_clinic_en_5.2.0_3.0_1701012221147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_gradient_clinic","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_gradient_clinic","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.base_uncased.by_charlieoneill").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_gradient_clinic|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/charlieoneill/distilbert-base-uncased-gradient-clinic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_holtin_finetuned_full_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_holtin_finetuned_full_squad_en.md
new file mode 100644
index 000000000000..4634dab428eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_holtin_finetuned_full_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from holtin)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_holtin_finetuned_full_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-holtin-finetuned-full-squad` is a English model originally trained by `holtin`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_holtin_finetuned_full_squad_en_5.2.0_3.0_1701011771017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_holtin_finetuned_full_squad_en_5.2.0_3.0_1701011771017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_holtin_finetuned_full_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_holtin_finetuned_full_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased_full.by_holtin").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_holtin_finetuned_full_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/holtin/distilbert-base-uncased-holtin-finetuned-full-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_holtin_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_holtin_finetuned_squad_en.md
new file mode 100644
index 000000000000..a3340ec82b5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_holtin_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from holtin)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_holtin_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-holtin-finetuned-squad` is a English model originally trained by `holtin`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_holtin_finetuned_squad_en_5.2.0_3.0_1701011996097.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_holtin_finetuned_squad_en_5.2.0_3.0_1701011996097.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_holtin_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_holtin_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_holtin").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_holtin_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/holtin/distilbert-base-uncased-holtin-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_qa_with_ner_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_qa_with_ner_en.md
new file mode 100644
index 000000000000..82a5c33f16d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_qa_with_ner_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from andi611)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_qa_with_ner
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-qa-with-ner` is a English model originally trained by `andi611`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_qa_with_ner_en_5.2.0_3.0_1701012988072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_qa_with_ner_en_5.2.0_3.0_1701012988072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_qa_with_ner","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_qa_with_ner","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.conll.distil_bert.base_uncased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_qa_with_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/andi611/distilbert-base-uncased-qa-with-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_covid_qa_deepset_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_covid_qa_deepset_en.md
new file mode 100644
index 000000000000..664dfda28346
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_covid_qa_deepset_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from armageddon)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_squad2_covid_qa_deepset
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-squad2-covid-qa-deepset` is a English model originally trained by `armageddon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_covid_qa_deepset_en_5.2.0_3.0_1701012414763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_covid_qa_deepset_en_5.2.0_3.0_1701012414763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_covid_qa_deepset","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_covid_qa_deepset","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_covid.distil_bert.base_uncased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_squad2_covid_qa_deepset|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/armageddon/distilbert-base-uncased-squad2-covid-qa-deepset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_en.md
new file mode 100644
index 000000000000..84d62c9489c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from twmkn9)
+author: John Snow Labs
+name: distilbert_qa_base_uncased_squad2
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-squad2` is a English model originally trained by `twmkn9`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_en_5.2.0_3.0_1701012607215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_en_5.2.0_3.0_1701012607215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.distil_bert.base_uncased.by_twmkn9").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/twmkn9/distilbert-base-uncased-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_en.md
new file mode 100644
index 000000000000..1897e990e2ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from andi611) Squad2
+author: John Snow Labs
+name: distilbert_qa_base_uncased_squad2_with_ner
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-squad2-with-ner` is a English model originally trained by `andi611`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_en_5.2.0_3.0_1701013182615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_en_5.2.0_3.0_1701013182615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_conll.distil_bert.base_uncased.by_andi611").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_squad2_with_ner|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/andi611/distilbert-base-uncased-squad2-with-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_mit_restaurant_with_neg_with_repeat_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_mit_restaurant_with_neg_with_repeat_en.md
new file mode 100644
index 000000000000..2719c3869b6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_mit_restaurant_with_neg_with_repeat_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from andi611) Squad2 with Restaurant, Neg, Repeat
+author: John Snow Labs
+name: distilbert_qa_base_uncased_squad2_with_ner_mit_restaurant_with_neg_with_repeat
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-squad2-with-ner-mit-restaurant-with-neg-with-repeat` is a English model originally trained by `andi611`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_mit_restaurant_with_neg_with_repeat_en_5.2.0_3.0_1701012609666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_mit_restaurant_with_neg_with_repeat_en_5.2.0_3.0_1701012609666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner_mit_restaurant_with_neg_with_repeat","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner_mit_restaurant_with_neg_with_repeat","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.distil_bert.base_uncased.by_andi611").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_squad2_with_ner_mit_restaurant_with_neg_with_repeat|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/andi611/distilbert-base-uncased-squad2-with-ner-mit-restaurant-with-neg-with-repeat
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_en.md
new file mode 100644
index 000000000000..fa8ca9d572d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from andi611) Squad2 with Neg
+author: John Snow Labs
+name: distilbert_qa_base_uncased_squad2_with_ner_with_neg
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-squad2-with-ner-with-neg` is a English model originally trained by `andi611`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_with_neg_en_5.2.0_3.0_1701012588981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_with_neg_en_5.2.0_3.0_1701012588981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner_with_neg","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner_with_neg","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_conll.distil_bert.base_uncased_with_neg.by_andi611").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_squad2_with_ner_with_neg|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/andi611/distilbert-base-uncased-squad2-with-ner-with-neg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_en.md
new file mode 100644
index 000000000000..c30a1b2dbaf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from andi611) Squad2 with Neg, Multi
+author: John Snow Labs
+name: distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-squad2-with-ner-with-neg-with-multi` is a English model originally trained by `andi611`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_en_5.2.0_3.0_1701012793453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_en_5.2.0_3.0_1701012793453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_conll.distil_bert.base_uncased_with_neg_with_multi.by_andi611").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/andi611/distilbert-base-uncased-squad2-with-ner-with-neg-with-multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_with_repeat_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_with_repeat_en.md
new file mode 100644
index 000000000000..48af8638614a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_with_repeat_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from andi611) Squad2 with Neg, Multi, Repeat
+author: John Snow Labs
+name: distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_with_repeat
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-squad2-with-ner-with-neg-with-multi-with-repeat` is a English model originally trained by `andi611`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_with_repeat_en_5.2.0_3.0_1701012184049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_with_repeat_en_5.2.0_3.0_1701012184049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_with_repeat","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_with_repeat","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_conll.distil_bert.base_uncased_with_neg_with_multi_with_repeat.by_andi611").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_multi_with_repeat|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/andi611/distilbert-base-uncased-squad2-with-ner-with-neg-with-multi-with-repeat
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_repeat_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_repeat_en.md
new file mode 100644
index 000000000000..6e6d3593530c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_repeat_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from andi611) Squad2 with Neg, Repeat
+author: John Snow Labs
+name: distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_repeat
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-squad2-with-ner-with-neg-with-repeat` is a English model originally trained by `andi611`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_repeat_en_5.2.0_3.0_1701013387027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_repeat_en_5.2.0_3.0_1701013387027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_repeat","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_repeat","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2_conll.distil_bert.base_uncased_with_neg_with_repeat.by_andi611").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_base_uncased_squad2_with_ner_with_neg_with_repeat|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/andi611/distilbert-base-uncased-squad2-with-ner-with-neg-with-repeat
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_bdickson_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_bdickson_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..bd19d2b272fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_bdickson_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from bdickson)
+author: John Snow Labs
+name: distilbert_qa_bdickson_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `bdickson`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_bdickson_base_uncased_finetuned_squad_en_5.2.0_3.0_1701012784364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_bdickson_base_uncased_finetuned_squad_en_5.2.0_3.0_1701012784364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_bdickson_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_bdickson_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_bdickson").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_bdickson_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/bdickson/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_caiosantillo_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_caiosantillo_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..1a9464c7dde8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_caiosantillo_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from caiosantillo)
+author: John Snow Labs
+name: distilbert_qa_caiosantillo_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `caiosantillo`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_caiosantillo_base_uncased_finetuned_squad_en_5.2.0_3.0_1701012980623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_caiosantillo_base_uncased_finetuned_squad_en_5.2.0_3.0_1701012980623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_caiosantillo_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_caiosantillo_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_caiosantillo").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_caiosantillo_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/caiosantillo/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_checkpoint_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_checkpoint_en.md
new file mode 100644
index 000000000000..8dd06930ce97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_checkpoint_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_qa_checkpoint DistilBertForQuestionAnswering from Eitanli
+author: John Snow Labs
+name: distilbert_qa_checkpoint
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_checkpoint` is a English model originally trained by Eitanli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_checkpoint_en_5.2.0_3.0_1701021510073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_checkpoint_en_5.2.0_3.0_1701021510073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_checkpoint_v5_thefoodprocessor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Thefoodprocessor/distilbert-qa-checkpoint-v5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom3_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom3_en.md
new file mode 100644
index 000000000000..dd0e869bda0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom3_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Cased model (from aszidon)
+author: John Snow Labs
+name: distilbert_qa_custom3
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbertcustom3` is a English model originally trained by `aszidon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_custom3_en_5.2.0_3.0_1701012437555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_custom3_en_5.2.0_3.0_1701012437555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_custom3","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_custom3","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.custom3.by_aszidon").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_custom3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aszidon/distilbertcustom3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom4_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom4_en.md
new file mode 100644
index 000000000000..8614fa6f65c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom4_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Cased model (from aszidon)
+author: John Snow Labs
+name: distilbert_qa_custom4
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbertcustom4` is a English model originally trained by `aszidon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_custom4_en_5.2.0_3.0_1701012985599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_custom4_en_5.2.0_3.0_1701012985599.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_custom4","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_custom4","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.custom4.by_aszidon").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_custom4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aszidon/distilbertcustom4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom5_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom5_en.md
new file mode 100644
index 000000000000..4f8dbdd745be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom5_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Cased model (from aszidon)
+author: John Snow Labs
+name: distilbert_qa_custom5
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbertcustom5` is a English model originally trained by `aszidon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_custom5_en_5.2.0_3.0_1701013157247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_custom5_en_5.2.0_3.0_1701013157247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_custom5","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_custom5","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.custom5.by_aszidon").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_custom5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aszidon/distilbertcustom5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom_en.md
new file mode 100644
index 000000000000..153cced94e46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_custom_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Cased model (from aszidon)
+author: John Snow Labs
+name: distilbert_qa_custom
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbertcustom` is a English model originally trained by `aszidon`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_custom_en_5.2.0_3.0_1701013603195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_custom_en_5.2.0_3.0_1701013603195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_custom","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_custom","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.custom.by_aszidon").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_custom|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/aszidon/distilbertcustom
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_dbert_3epoch_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_dbert_3epoch_en.md
new file mode 100644
index 000000000000..855ba937fb9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_dbert_3epoch_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from Ifenna)
+author: John Snow Labs
+name: distilbert_qa_dbert_3epoch
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `dbert-3epoch` is a English model originally trained by `Ifenna`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_dbert_3epoch_en_5.2.0_3.0_1701013183278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_dbert_3epoch_en_5.2.0_3.0_1701013183278.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_dbert_3epoch","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_dbert_3epoch","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.by_Ifenna").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_dbert_3epoch|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Ifenna/dbert-3epoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_mlqa_es.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_mlqa_es.md
new file mode 100644
index 000000000000..5617a2ef76a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_mlqa_es.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Spanish DistilBertForQuestionAnswering model (from CenIA) MLQA
+author: John Snow Labs
+name: distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_mlqa
+date: 2023-11-26
+tags: [es, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distillbert-base-spanish-uncased-finetuned-qa-mlqa` is a English model originally trained by `CenIA`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_mlqa_es_5.2.0_3.0_1701013391697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_mlqa_es_5.2.0_3.0_1701013391697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_mlqa","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_mlqa","es")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.mlqa.distil_bert.base_uncased").predict("""¿Cuál es mi nombre?|||"Mi nombre es Clara y vivo en Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_mlqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|250.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/CenIA/distillbert-base-spanish-uncased-finetuned-qa-mlqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac_es.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac_es.md
new file mode 100644
index 000000000000..0fa1c6cedea1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac_es.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Spanish DistilBertForQuestionAnswering model (from CenIA) SQAC
+author: John Snow Labs
+name: distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac
+date: 2023-11-26
+tags: [es, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distillbert-base-spanish-uncased-finetuned-qa-sqac` is a English model originally trained by `CenIA`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac_es_5.2.0_3.0_1701012604518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac_es_5.2.0_3.0_1701012604518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac","es")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.sqac.distil_bert.base_uncased").predict("""¿Cuál es mi nombre?|||"Mi nombre es Clara y vivo en Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|250.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/CenIA/distillbert-base-spanish-uncased-finetuned-qa-sqac
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_tar_es.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_tar_es.md
new file mode 100644
index 000000000000..56922194e186
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_tar_es.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Spanish DistilBertForQuestionAnswering model (from CenIA) TAR
+author: John Snow Labs
+name: distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_tar
+date: 2023-11-26
+tags: [es, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distillbert-base-spanish-uncased-finetuned-qa-tar` is a English model originally trained by `CenIA`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_tar_es_5.2.0_3.0_1701012796157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_tar_es_5.2.0_3.0_1701012796157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_tar","es") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_tar","es")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("es.answer_question.distil_bert.base_uncased").predict("""¿Cuál es mi nombre?|||"Mi nombre es Clara y vivo en Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_tar|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|es|
+|Size:|250.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/CenIA/distillbert-base-spanish-uncased-finetuned-qa-tar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_emre_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_emre_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..8cd0d8d1dbcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_emre_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from emre)
+author: John Snow Labs
+name: distilbert_qa_emre_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `emre`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_emre_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013840123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_emre_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013840123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_emre_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_emre_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_emre").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_emre_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/emre/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_english_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_english_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..90eb9a015c7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_english_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_qa_english_base_uncased_finetuned_squad DistilBertForQuestionAnswering from en
+author: John Snow Labs
+name: distilbert_qa_english_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_english_base_uncased_finetuned_squad` is a English model originally trained by en.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_english_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013523533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_english_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013523533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_english_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/en/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_fadhilarkan_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_fadhilarkan_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..1629a22cdaee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_fadhilarkan_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from fadhilarkan)
+author: John Snow Labs
+name: distilbert_qa_fadhilarkan_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `fadhilarkan`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_fadhilarkan_base_uncased_finetuned_squad_en_5.2.0_3.0_1701014053754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_fadhilarkan_base_uncased_finetuned_squad_en_5.2.0_3.0_1701014053754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_fadhilarkan_base_uncased_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_fadhilarkan_base_uncased_finetuned_squad","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_fadhilarkan").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_fadhilarkan_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/fadhilarkan/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_finetuned_squad_pt.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_finetuned_squad_pt.md
new file mode 100644
index 000000000000..c30518161622
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_finetuned_squad_pt.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: Portuguese DistilBertForQuestionAnswering Cased model (from mrm8488)
+author: John Snow Labs
+name: distilbert_qa_finetuned_squad
+date: 2023-11-26
+tags: [open_source, distilbert, question_answering, pt, onnx]
+task: Question Answering
+language: pt
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBERT Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-multi-finedtuned-squad-pt` is a Portuguese model originally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_finetuned_squad_pt_5.2.0_3.0_1701014426202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_finetuned_squad_pt_5.2.0_3.0_1701014426202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|pt|
+|Size:|505.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+https://huggingface.co/mrm8488/distilbert-multi-finedtuned-squad-pt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_firat_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_firat_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..1e79b0735a79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_firat_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from Firat)
+author: John Snow Labs
+name: distilbert_qa_firat_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `Firat`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_firat_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010378270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_firat_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010378270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_firat_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_firat_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_firat_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Firat/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_fofer_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_fofer_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..6437ca855dac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_fofer_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from FOFer)
+author: John Snow Labs
+name: distilbert_qa_fofer_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `FOFer`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_fofer_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010378251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_fofer_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010378251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_fofer_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_fofer_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_fofer_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/FOFer/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_gayathri_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_gayathri_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..9b8c7f6d9588
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_gayathri_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English distilbert_qa_gayathri_base_uncased_finetuned_squad DistilBertForQuestionAnswering from Gayathri
+author: John Snow Labs
+name: distilbert_qa_gayathri_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_gayathri_base_uncased_finetuned_squad` is a English model originally trained by Gayathri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_gayathri_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010549020.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_gayathri_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010549020.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_gayathri_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/Gayathri/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_gokulkarthik_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_gokulkarthik_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..e6c61fdad4a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_gokulkarthik_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from gokulkarthik)
+author: John Snow Labs
+name: distilbert_qa_gokulkarthik_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `gokulkarthik`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_gokulkarthik_base_uncased_finetuned_squad_en_5.2.0_3.0_1701012985604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_gokulkarthik_base_uncased_finetuned_squad_en_5.2.0_3.0_1701012985604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_gokulkarthik_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_gokulkarthik_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_gokulkarthik").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_gokulkarthik_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/gokulkarthik/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_graviraja_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_graviraja_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..72de211e8636
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_graviraja_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from graviraja)
+author: John Snow Labs
+name: distilbert_qa_graviraja_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `graviraja`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_graviraja_base_uncased_finetuned_squad_en_5.2.0_3.0_1701012769552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_graviraja_base_uncased_finetuned_squad_en_5.2.0_3.0_1701012769552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_graviraja_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_graviraja_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_graviraja").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_graviraja_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/graviraja/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_guhuawuli_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_guhuawuli_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..4a70e800acd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_guhuawuli_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from guhuawuli)
+author: John Snow Labs
+name: distilbert_qa_guhuawuli_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `guhuawuli`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_guhuawuli_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013702865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_guhuawuli_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013702865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_guhuawuli_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_guhuawuli_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_guhuawuli").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_guhuawuli_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/guhuawuli/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hark99_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hark99_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..770f47af92de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hark99_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from hark99)
+author: John Snow Labs
+name: distilbert_qa_hark99_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `hark99`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_hark99_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013182236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_hark99_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013182236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_hark99_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_hark99_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_hark99").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_hark99_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/hark99/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hcy11_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hcy11_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..28b7c0893489
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hcy11_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from hcy11)
+author: John Snow Labs
+name: distilbert_qa_hcy11_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `hcy11`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_hcy11_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013359484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_hcy11_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013359484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_hcy11_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_hcy11_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_hcy11").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_hcy11_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/hcy11/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hiiii23_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hiiii23_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..c745684951fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hiiii23_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from hiiii23)
+author: John Snow Labs
+name: distilbert_qa_hiiii23_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `hiiii23`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_hiiii23_base_uncased_finetuned_squad_en_5.2.0_3.0_1701014603585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_hiiii23_base_uncased_finetuned_squad_en_5.2.0_3.0_1701014603585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_hiiii23_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_hiiii23_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_hiiii23").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_hiiii23_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/hiiii23/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hoang_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hoang_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..4f51d4e290d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_hoang_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English distilbert_qa_hoang_base_uncased_finetuned_squad DistilBertForQuestionAnswering from Hoang
+author: John Snow Labs
+name: distilbert_qa_hoang_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_hoang_base_uncased_finetuned_squad` is a English model originally trained by Hoang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_hoang_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010584329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_hoang_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010584329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_hoang_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/Hoang/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_holtin_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_holtin_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..788d42758596
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_holtin_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from holtin)
+author: John Snow Labs
+name: distilbert_qa_holtin_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `holtin`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_holtin_base_uncased_finetuned_squad_en_5.2.0_3.0_1701012963299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_holtin_base_uncased_finetuned_squad_en_5.2.0_3.0_1701012963299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_holtin_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_holtin_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased_v2.by_holtin").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_holtin_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/holtin/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_huggingfaceepita_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_huggingfaceepita_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..725b692d833d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_huggingfaceepita_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from huggingfaceepita)
+author: John Snow Labs
+name: distilbert_qa_huggingfaceepita_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `huggingfaceepita`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_huggingfaceepita_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013123018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_huggingfaceepita_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013123018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_huggingfaceepita_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_huggingfaceepita_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_huggingfaceepita").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_huggingfaceepita_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/huggingfaceepita/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_huxxx657_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_huxxx657_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..625f375ff3b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_huxxx657_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from huxxx657)
+author: John Snow Labs
+name: distilbert_qa_huxxx657_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `huxxx657`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_huxxx657_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013865891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_huxxx657_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013865891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_huxxx657_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_huxxx657_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_huxxx657").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_huxxx657_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/huxxx657/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_jgammack_base_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_jgammack_base_uncased_squad_en.md
new file mode 100644
index 000000000000..ab934d6fac2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_jgammack_base_uncased_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from jgammack)
+author: John Snow Labs
+name: distilbert_qa_jgammack_base_uncased_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-squad` is a English model originally trained by `jgammack`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_jgammack_base_uncased_squad_en_5.2.0_3.0_1701014077513.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_jgammack_base_uncased_squad_en_5.2.0_3.0_1701014077513.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_jgammack_base_uncased_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_jgammack_base_uncased_squad","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_jgammack").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_jgammack_base_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jgammack/distilbert-base-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_jhoonk_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_jhoonk_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..a405742590ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_jhoonk_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from jhoonk)
+author: John Snow Labs
+name: distilbert_qa_jhoonk_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `jhoonk`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_jhoonk_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013376380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_jhoonk_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013376380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_jhoonk_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_jhoonk_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_jhoonk").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_jhoonk_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jhoonk/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_jsunster_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_jsunster_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..c5b66b374929
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_jsunster_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from jsunster)
+author: John Snow Labs
+name: distilbert_qa_jsunster_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `jsunster`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_jsunster_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013301704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_jsunster_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013301704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_jsunster_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_jsunster_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_jsunster").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_jsunster_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jsunster/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_kaggleodin_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_kaggleodin_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..80283b4646ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_kaggleodin_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from kaggleodin)
+author: John Snow Labs
+name: distilbert_qa_kaggleodin_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `kaggleodin`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_kaggleodin_base_uncased_finetuned_squad_en_5.2.0_3.0_1701014269487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_kaggleodin_base_uncased_finetuned_squad_en_5.2.0_3.0_1701014269487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_kaggleodin_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_kaggleodin_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_kaggleodin").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_kaggleodin_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/kaggleodin/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_mtl_base_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_mtl_base_uncased_squad_en.md
new file mode 100644
index 000000000000..0b5fd1569a95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_mtl_base_uncased_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from jgammack)
+author: John Snow Labs
+name: distilbert_qa_mtl_base_uncased_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `MTL-distilbert-base-uncased-squad` is a English model originally trained by `jgammack`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_mtl_base_uncased_squad_en_5.2.0_3.0_1701010618908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_mtl_base_uncased_squad_en_5.2.0_3.0_1701010618908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_mtl_base_uncased_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_mtl_base_uncased_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_mtl_base_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jgammack/MTL-distilbert-base-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_multi_finedtuned_squad_pt.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_multi_finedtuned_squad_pt.md
new file mode 100644
index 000000000000..442fadfb0193
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_multi_finedtuned_squad_pt.md
@@ -0,0 +1,96 @@
+---
+layout: model
+title: Portuguese DistilBertForQuestionAnswering model (from mrm8488)
+author: John Snow Labs
+name: distilbert_qa_multi_finedtuned_squad
+date: 2023-11-26
+tags: [question_answering, distilbert, pt, open_source, onnx]
+task: Question Answering
+language: pt
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-multi-finedtuned-squad-pt` is a Portuguese model originally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_multi_finedtuned_squad_pt_5.2.0_3.0_1701014838666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_multi_finedtuned_squad_pt_5.2.0_3.0_1701014838666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_multi_finedtuned_squad", "pt") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+data = spark.createDataFrame([["Qual é o meu nome?", "Meu nome é Clara e moro em Berkeley."]]).toDF("question", "context")
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_multi_finedtuned_squad", "pt")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+val data = Seq("Qual é o meu nome?", "Meu nome é Clara e moro em Berkeley.").toDF("question", "context")
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("pt.answer_question.squad.distil_bert").predict("""Qual é o meu nome?|||"Meu nome é Clara e moro em Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_multi_finedtuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|pt|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tli8hf/unqover-distilbert-base-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_multi_finetuned_for_xqua_on_chaii_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_multi_finetuned_for_xqua_on_chaii_en.md
new file mode 100644
index 000000000000..2369e8f75898
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_multi_finetuned_for_xqua_on_chaii_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from SauravMaheshkar) Xqua
+author: John Snow Labs
+name: distilbert_qa_multi_finetuned_for_xqua_on_chaii
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-multi-finetuned-for-xqua-on-chaii` is a English model originally trained by `SauravMaheshkar`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_multi_finetuned_for_xqua_on_chaii_en_5.2.0_3.0_1701013635234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_multi_finetuned_for_xqua_on_chaii_en_5.2.0_3.0_1701013635234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_multi_finetuned_for_xqua_on_chaii","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_multi_finetuned_for_xqua_on_chaii","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.chaii.distil_bert").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_multi_finetuned_for_xqua_on_chaii|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|505.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SauravMaheshkar/distilbert-multi-finetuned-for-xqua-on-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_multi_finetuned_for_xqua_on_tydiqa_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_multi_finetuned_for_xqua_on_tydiqa_en.md
new file mode 100644
index 000000000000..e201d6e26099
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_multi_finetuned_for_xqua_on_tydiqa_en.md
@@ -0,0 +1,103 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from mrm8488) Xqua
+author: John Snow Labs
+name: distilbert_qa_multi_finetuned_for_xqua_on_tydiqa
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-multi-finetuned-for-xqua-on-tydiqa` is a English model originally trained by `mrm8488`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_multi_finetuned_for_xqua_on_tydiqa_en_5.2.0_3.0_1701013640158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_multi_finetuned_for_xqua_on_tydiqa_en_5.2.0_3.0_1701013640158.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_multi_finetuned_for_xqua_on_tydiqa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_multi_finetuned_for_xqua_on_tydiqa","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.tydiqa.distil_bert").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_multi_finetuned_for_xqua_on_tydiqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|505.4 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mrm8488/distilbert-multi-finetuned-for-xqua-on-tydiqa
+- https://ai.google.com/research/tydiqa
+- https://github.com/google-research-datasets/tydiqa/blob/master/README.md#the-tasks
+- https://twitter.com/mrm8488
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_mvonwyl_base_uncased_finetuned_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_mvonwyl_base_uncased_finetuned_squad2_en.md
new file mode 100644
index 000000000000..5c4bff7a99fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_mvonwyl_base_uncased_finetuned_squad2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from mvonwyl)
+author: John Snow Labs
+name: distilbert_qa_mvonwyl_base_uncased_finetuned_squad2
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad2` is a English model originally trained by `mvonwyl`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_mvonwyl_base_uncased_finetuned_squad2_en_5.2.0_3.0_1701014437462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_mvonwyl_base_uncased_finetuned_squad2_en_5.2.0_3.0_1701014437462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_mvonwyl_base_uncased_finetuned_squad2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_mvonwyl_base_uncased_finetuned_squad2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.distil_bert.base_uncased").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_mvonwyl_base_uncased_finetuned_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mvonwyl/distilbert-base-uncased-finetuned-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_myx4567_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_myx4567_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..304a490dcf92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_myx4567_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from MYX4567)
+author: John Snow Labs
+name: distilbert_qa_myx4567_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `MYX4567`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_myx4567_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010621345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_myx4567_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010621345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_myx4567_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_myx4567_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_myx4567_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/MYX4567/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_nadhiya_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_nadhiya_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..a74f589b284c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_nadhiya_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from Nadhiya)
+author: John Snow Labs
+name: distilbert_qa_nadhiya_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `Nadhiya`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_nadhiya_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010753501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_nadhiya_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010753501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_nadhiya_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_nadhiya_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_nadhiya_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Nadhiya/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_plimpton_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_plimpton_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..5e24d41ddcc0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_plimpton_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from Plimpton)
+author: John Snow Labs
+name: distilbert_qa_plimpton_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `Plimpton`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_plimpton_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010581396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_plimpton_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010581396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_plimpton_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_plimpton_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_plimpton_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Plimpton/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_projectmodel_bert_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_projectmodel_bert_en.md
new file mode 100644
index 000000000000..6dd1acb75814
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_projectmodel_bert_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from Sarmad)
+author: John Snow Labs
+name: distilbert_qa_projectmodel_bert
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `projectmodel-bert` is a English model originally trained by `Sarmad`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_projectmodel_bert_en_5.2.0_3.0_1701013822824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_projectmodel_bert_en_5.2.0_3.0_1701013822824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_projectmodel_bert","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_projectmodel_bert","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_projectmodel_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Sarmad/projectmodel-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_qa_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_qa_en.md
new file mode 100644
index 000000000000..b30ba667bf44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_qa_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from poom-sci)
+author: John Snow Labs
+name: distilbert_qa_qa
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-qa` is a English model originally trained by `poom-sci`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_qa_en_5.2.0_3.0_1701014615598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_qa_en_5.2.0_3.0_1701014615598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_qa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_qa","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.distil_bert.by_poom-sci").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_qa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/poom-sci/distilbert-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_raphaelg9_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_raphaelg9_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..ea2574e04834
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_raphaelg9_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from Raphaelg9)
+author: John Snow Labs
+name: distilbert_qa_raphaelg9_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `Raphaelg9`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_raphaelg9_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010843509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_raphaelg9_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010843509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_raphaelg9_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_raphaelg9_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_raphaelg9_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Raphaelg9/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_sae_base_uncased_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_sae_base_uncased_squad_en.md
new file mode 100644
index 000000000000..0874e8214a33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_sae_base_uncased_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from jgammack)
+author: John Snow Labs
+name: distilbert_qa_sae_base_uncased_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `SAE-distilbert-base-uncased-squad` is a English model originally trained by `jgammack`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_sae_base_uncased_squad_en_5.2.0_3.0_1701010804429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_sae_base_uncased_squad_en_5.2.0_3.0_1701010804429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_sae_base_uncased_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_sae_base_uncased_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_sae_base_uncased_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/jgammack/SAE-distilbert-base-uncased-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_seishin_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_seishin_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..5236f3cfa53d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_seishin_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from SEISHIN)
+author: John Snow Labs
+name: distilbert_qa_seishin_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `SEISHIN`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_seishin_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010753456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_seishin_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010753456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_seishin_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_seishin_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_seishin_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SEISHIN/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_shashidhar_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_shashidhar_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..3f785609fb68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_shashidhar_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English distilbert_qa_shashidhar_base_uncased_finetuned_squad DistilBertForQuestionAnswering from Shashidhar
+author: John Snow Labs
+name: distilbert_qa_shashidhar_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_shashidhar_base_uncased_finetuned_squad` is a English model originally trained by Shashidhar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_shashidhar_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010801796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_shashidhar_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010801796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_shashidhar_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/Shashidhar/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_single_label_n_max_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_single_label_n_max_en.md
new file mode 100644
index 000000000000..4eaa6c2aaf54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_single_label_n_max_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Cased model (from mcurmei)
+author: John Snow Labs
+name: distilbert_qa_single_label_n_max
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `single_label_N_max` is a English model originally trained by `mcurmei`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_single_label_n_max_en_5.2.0_3.0_1701013820377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_single_label_n_max_en_5.2.0_3.0_1701013820377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_single_label_n_max","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_single_label_n_max","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_single_label_n_max|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/mcurmei/single_label_N_max
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_sourabh714_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_sourabh714_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..94d440737a7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_sourabh714_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from Sourabh714)
+author: John Snow Labs
+name: distilbert_qa_sourabh714_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `Sourabh714`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_sourabh714_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010999287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_sourabh714_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010999287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_sourabh714_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_sourabh714_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_sourabh714_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Sourabh714/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_squad_slp_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_squad_slp_en.md
new file mode 100644
index 000000000000..cb02144514cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_squad_slp_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Cased model (from rowan1224)
+author: John Snow Labs
+name: distilbert_qa_squad_slp
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-squad-slp` is a English model originally trained by `rowan1224`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_squad_slp_en_5.2.0_3.0_1701014042295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_squad_slp_en_5.2.0_3.0_1701014042295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_squad_slp","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_squad_slp","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.by_rowan1224").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_squad_slp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/rowan1224/distilbert-squad-slp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_squadv1_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_squadv1_en.md
new file mode 100644
index 000000000000..2c103a50b716
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_squadv1_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Cased model (from abhilash1910)
+author: John Snow Labs
+name: distilbert_qa_squadv1
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-squadv1` is a English model originally trained by `abhilash1910`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_squadv1_en_5.2.0_3.0_1701014822159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_squadv1_en_5.2.0_3.0_1701014822159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_squadv1","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_squadv1","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.by_abhilash1910").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_squadv1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|243.8 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/abhilash1910/distilbert-squadv1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_supriyaarun_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_supriyaarun_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..b12af0961448
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_supriyaarun_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from SupriyaArun)
+author: John Snow Labs
+name: distilbert_qa_supriyaarun_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `SupriyaArun`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_supriyaarun_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010975060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_supriyaarun_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010975060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_supriyaarun_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_supriyaarun_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_supriyaarun_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/SupriyaArun/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tabo_base_uncased_finetuned_squad2_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tabo_base_uncased_finetuned_squad2_en.md
new file mode 100644
index 000000000000..21dc72b455ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tabo_base_uncased_finetuned_squad2_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from tabo)
+author: John Snow Labs
+name: distilbert_qa_tabo_base_uncased_finetuned_squad2
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad2` is a English model originally trained by `tabo`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_tabo_base_uncased_finetuned_squad2_en_5.2.0_3.0_1701013475212.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_tabo_base_uncased_finetuned_squad2_en_5.2.0_3.0_1701013475212.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_tabo_base_uncased_finetuned_squad2","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_tabo_base_uncased_finetuned_squad2","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.distil_bert.base_uncased.by_tabo").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_tabo_base_uncased_finetuned_squad2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tabo/distilbert-base-uncased-finetuned-squad2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_thitaree_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_thitaree_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..a3e81856a46d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_thitaree_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from Thitaree)
+author: John Snow Labs
+name: distilbert_qa_thitaree_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `Thitaree`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_thitaree_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011003522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_thitaree_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011003522.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_thitaree_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_thitaree_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_thitaree_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Thitaree/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tianle_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tianle_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..8a0338d8676b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tianle_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from Tianle)
+author: John Snow Labs
+name: distilbert_qa_tianle_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `Tianle`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_tianle_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011197267.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_tianle_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011197267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_tianle_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_tianle_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_tianle_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Tianle/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tiny_base_cased_distilled_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tiny_base_cased_distilled_squad_en.md
new file mode 100644
index 000000000000..7a58653214e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tiny_base_cased_distilled_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from sshleifer)
+author: John Snow Labs
+name: distilbert_qa_tiny_base_cased_distilled_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `tiny-distilbert-base-cased-distilled-squad` is a English model originally trained by `sshleifer`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_tiny_base_cased_distilled_squad_en_5.2.0_3.0_1701014956119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_tiny_base_cased_distilled_squad_en_5.2.0_3.0_1701014956119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_tiny_base_cased_distilled_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_tiny_base_cased_distilled_squad","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_tiny_cased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_tiny_base_cased_distilled_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|523.3 KB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/sshleifer/tiny-distilbert-base-cased-distilled-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_transformers_base_uncased_finetuneqa_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_transformers_base_uncased_finetuneqa_squad_en.md
new file mode 100644
index 000000000000..822063e67dcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_transformers_base_uncased_finetuneqa_squad_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English distilbert_qa_transformers_base_uncased_finetuneqa_squad DistilBertForQuestionAnswering from manudotc
+author: John Snow Labs
+name: distilbert_qa_transformers_base_uncased_finetuneqa_squad
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_transformers_base_uncased_finetuneqa_squad` is a English model originally trained by manudotc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_transformers_base_uncased_finetuneqa_squad_en_5.2.0_3.0_1701015015271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_transformers_base_uncased_finetuneqa_squad_en_5.2.0_3.0_1701015015271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_transformers_base_uncased_finetuneqa_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/manudotc/transformers_distilbert-base-uncased_finetuneQA_squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tucan9389_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tucan9389_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..76e4deec1ede
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_tucan9389_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from tucan9389)
+author: John Snow Labs
+name: distilbert_qa_tucan9389_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `tucan9389`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_tucan9389_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013650762.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_tucan9389_base_uncased_finetuned_squad_en_5.2.0_3.0_1701013650762.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_tucan9389_base_uncased_finetuned_squad","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_tucan9389_base_uncased_finetuned_squad","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_tucan9389").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_tucan9389_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tucan9389/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_unique_n_max_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_unique_n_max_en.md
new file mode 100644
index 000000000000..0ff6b812ac60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_unique_n_max_en.md
@@ -0,0 +1,95 @@
+---
+layout: model
+title: English distilbert_qa_unique_n_max DistilBertForQuestionAnswering from mcurmei
+author: John Snow Labs
+name: distilbert_qa_unique_n_max
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_unique_n_max` is a English model originally trained by mcurmei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_unique_n_max_en_5.2.0_3.0_1701015134223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_unique_n_max_en_5.2.0_3.0_1701015134223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_unique_n_max|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|true|
+|Max sentence length:|512|
+
+## References
+
+https://huggingface.co/mcurmei/unique_N_max
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_unqover_base_uncased_newsqa_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_unqover_base_uncased_newsqa_en.md
new file mode 100644
index 000000000000..b6e685205b56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_unqover_base_uncased_newsqa_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from tli8hf) Newsqa
+author: John Snow Labs
+name: distilbert_qa_unqover_base_uncased_newsqa
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `unqover-distilbert-base-uncased-newsqa` is a English model originally trained by `tli8hf`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_unqover_base_uncased_newsqa_en_5.2.0_3.0_1701015205435.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_unqover_base_uncased_newsqa_en_5.2.0_3.0_1701015205435.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+documentAssembler = MultiDocumentAssembler() \
+.setInputCols(["question", "context"]) \
+.setOutputCols(["document_question", "document_context"])
+
+spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_unqover_base_uncased_newsqa","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["What is my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val documentAssembler = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_unqover_base_uncased_newsqa","en")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("What is my name?", "My name is Clara and I live in Berkeley.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.news.distil_bert.base_uncased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_unqover_base_uncased_newsqa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/tli8hf/unqover-distilbert-base-uncased-newsqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_usami_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_usami_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..c0c1d0e1c6f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_usami_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from usami)
+author: John Snow Labs
+name: distilbert_qa_usami_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `usami`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_usami_base_uncased_finetuned_squad_en_5.2.0_3.0_1701015399201.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_usami_base_uncased_finetuned_squad_en_5.2.0_3.0_1701015399201.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_usami_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_usami_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_usami").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_usami_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/usami/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_v3rx2000_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_v3rx2000_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..ce05791dbd0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_v3rx2000_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from V3RX2000)
+author: John Snow Labs
+name: distilbert_qa_v3rx2000_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `V3RX2000`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_v3rx2000_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011359032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_v3rx2000_base_uncased_finetuned_squad_en_5.2.0_3.0_1701011359032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_v3rx2000_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_v3rx2000_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_v3rx2000_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/V3RX2000/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_vitusya_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_vitusya_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..4ebcd80974b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_vitusya_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from vitusya)
+author: John Snow Labs
+name: distilbert_qa_vitusya_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `vitusya`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_vitusya_base_uncased_finetuned_squad_en_5.2.0_3.0_1701015562582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_vitusya_base_uncased_finetuned_squad_en_5.2.0_3.0_1701015562582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_vitusya_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_vitusya_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_vitusya").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_vitusya_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vitusya/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_vkmr_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_vkmr_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..87fb9bae7833
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_vkmr_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from vkmr)
+author: John Snow Labs
+name: distilbert_qa_vkmr_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `vkmr`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_vkmr_base_uncased_finetuned_squad_en_5.2.0_3.0_1701014045661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_vkmr_base_uncased_finetuned_squad_en_5.2.0_3.0_1701014045661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_vkmr_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_vkmr_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_vkmr").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_vkmr_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vkmr/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_vkrishnamoorthy_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_vkrishnamoorthy_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..c3a7d2cf6dc1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_vkrishnamoorthy_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,100 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from vkrishnamoorthy)
+author: John Snow Labs
+name: distilbert_qa_vkrishnamoorthy_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `vkrishnamoorthy`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_vkrishnamoorthy_base_uncased_finetuned_squad_en_5.2.0_3.0_1701014246078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_vkrishnamoorthy_base_uncased_finetuned_squad_en_5.2.0_3.0_1701014246078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_vkrishnamoorthy_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_vkrishnamoorthy_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squad.distil_bert.base_uncased.by_vkrishnamoorthy").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_vkrishnamoorthy_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/vkrishnamoorthy/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_wiam_base_uncased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_wiam_base_uncased_finetuned_squad_en.md
new file mode 100644
index 000000000000..a8eb106cc48a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_qa_wiam_base_uncased_finetuned_squad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering Base Uncased model (from Wiam)
+author: John Snow Labs
+name: distilbert_qa_wiam_base_uncased_finetuned_squad
+date: 2023-11-26
+tags: [en, open_source, distilbert, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-squad` is a English model originally trained by `Wiam`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_wiam_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010948782.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_wiam_base_uncased_finetuned_squad_en_5.2.0_3.0_1701010948782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+Document_Assembler = MultiDocumentAssembler()\
+ .setInputCols(["question", "context"])\
+ .setOutputCols(["document_question", "document_context"])
+
+Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_wiam_base_uncased_finetuned_squad","en")\
+ .setInputCols(["document_question", "document_context"])\
+ .setOutputCol("answer")\
+ .setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])
+
+data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(data).transform(data)
+```
+```scala
+val Document_Assembler = new MultiDocumentAssembler()
+ .setInputCols(Array("question", "context"))
+ .setOutputCols(Array("document_question", "document_context"))
+
+val Question_Answering = DistilBertForQuestionAnswering.pretrained("distilbert_qa_wiam_base_uncased_finetuned_squad","en")
+ .setInputCols(Array("document_question", "document_context"))
+ .setOutputCol("answer")
+ .setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))
+
+val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_wiam_base_uncased_finetuned_squad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+- https://huggingface.co/Wiam/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-26-distilbert_squad2_custom_en.md b/docs/_posts/ahmedlone127/2023-11-26-distilbert_squad2_custom_en.md
new file mode 100644
index 000000000000..a82d84d58537
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-26-distilbert_squad2_custom_en.md
@@ -0,0 +1,93 @@
+---
+layout: model
+title: English distilbert_squad2_custom DistilBertForQuestionAnswering from arver
+author: John Snow Labs
+name: distilbert_squad2_custom
+date: 2023-11-26
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_squad2_custom` is a English model originally trained by arver.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_squad2_custom_en_5.2.0_3.0_1701020032947.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_squad2_custom_en_5.2.0_3.0_1701020032947.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tu_nlpweb_w22_g18_e6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/adiharush/tu-nlpweb-w22-g18-e6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-adding_on_en.md b/docs/_posts/ahmedlone127/2023-11-29-adding_on_en.md
new file mode 100644
index 000000000000..7ffeded04ab9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-adding_on_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English adding_on RoBertaForSequenceClassification from aekupor
+author: John Snow Labs
+name: adding_on
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adding_on` is a English model originally trained by aekupor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adding_on_en_5.2.0_3.0_1701237798155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adding_on_en_5.2.0_3.0_1701237798155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_nli_dets_sentence_similarity_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/abbasgolestani/ag-nli-DeTS-sentence-similarity-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-ai_human_detector_en.md b/docs/_posts/ahmedlone127/2023-11-29-ai_human_detector_en.md
new file mode 100644
index 000000000000..5a9b60d3f423
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-ai_human_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ai_human_detector RoBertaForSequenceClassification from idajikuu
+author: John Snow Labs
+name: ai_human_detector
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai_human_detector` is a English model originally trained by idajikuu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai_human_detector_en_5.2.0_3.0_1701282196935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai_human_detector_en_5.2.0_3.0_1701282196935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ai_human_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/idajikuu/AI-HUMAN-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-argumentmining_en_ari_aif_roberta_l_en.md b/docs/_posts/ahmedlone127/2023-11-29-argumentmining_en_ari_aif_roberta_l_en.md
new file mode 100644
index 000000000000..22d1ad9e7405
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-argumentmining_en_ari_aif_roberta_l_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English argumentmining_en_ari_aif_roberta_l RoBertaForSequenceClassification from raruidol
+author: John Snow Labs
+name: argumentmining_en_ari_aif_roberta_l
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`argumentmining_en_ari_aif_roberta_l` is a English model originally trained by raruidol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/argumentmining_en_ari_aif_roberta_l_en_5.2.0_3.0_1701273839513.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/argumentmining_en_ari_aif_roberta_l_en_5.2.0_3.0_1701273839513.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|argumentmining_en_ari_aif_roberta_l|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/raruidol/ArgumentMining-EN-ARI-AIF-RoBERTa_L
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-babe_v3_roberta_fully_trained_en.md b/docs/_posts/ahmedlone127/2023-11-29-babe_v3_roberta_fully_trained_en.md
new file mode 100644
index 000000000000..1e4e46430336
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-babe_v3_roberta_fully_trained_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English babe_v3_roberta_fully_trained RoBertaForSequenceClassification from mediabiasgroup
+author: John Snow Labs
+name: babe_v3_roberta_fully_trained
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babe_v3_roberta_fully_trained` is a English model originally trained by mediabiasgroup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babe_v3_roberta_fully_trained_en_5.2.0_3.0_1701264726344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babe_v3_roberta_fully_trained_en_5.2.0_3.0_1701264726344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babe_v3_roberta_fully_trained|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.0 MB|
+
+## References
+
+https://huggingface.co/mediabiasgroup/babe-v3-roberta-fully-trained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-centralbankroberta_sentiment_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-29-centralbankroberta_sentiment_classifier_en.md
new file mode 100644
index 000000000000..311c3d1c73ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-centralbankroberta_sentiment_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English centralbankroberta_sentiment_classifier RoBertaForSequenceClassification from Moritz-Pfeifer
+author: John Snow Labs
+name: centralbankroberta_sentiment_classifier
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`centralbankroberta_sentiment_classifier` is a English model originally trained by Moritz-Pfeifer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/centralbankroberta_sentiment_classifier_en_5.2.0_3.0_1701293997244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/centralbankroberta_sentiment_classifier_en_5.2.0_3.0_1701293997244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|centralbankroberta_sentiment_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|440.1 MB|
+
+## References
+
+https://huggingface.co/Moritz-Pfeifer/CentralBankRoBERTa-sentiment-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-chatgpt_detector_roberta_hello_simpleai_en.md b/docs/_posts/ahmedlone127/2023-11-29-chatgpt_detector_roberta_hello_simpleai_en.md
new file mode 100644
index 000000000000..33532c425801
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-chatgpt_detector_roberta_hello_simpleai_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chatgpt_detector_roberta_hello_simpleai RoBertaForSequenceClassification from Hello-SimpleAI
+author: John Snow Labs
+name: chatgpt_detector_roberta_hello_simpleai
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chatgpt_detector_roberta_hello_simpleai` is a English model originally trained by Hello-SimpleAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chatgpt_detector_roberta_hello_simpleai_en_5.2.0_3.0_1701237137172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chatgpt_detector_roberta_hello_simpleai_en_5.2.0_3.0_1701237137172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chatgpt_detector_roberta_hello_simpleai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.4 MB|
+
+## References
+
+https://huggingface.co/Hello-SimpleAI/chatgpt-detector-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-chatgpt_qa_detector_roberta_hello_simpleai_en.md b/docs/_posts/ahmedlone127/2023-11-29-chatgpt_qa_detector_roberta_hello_simpleai_en.md
new file mode 100644
index 000000000000..5ed35b52e003
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-chatgpt_qa_detector_roberta_hello_simpleai_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chatgpt_qa_detector_roberta_hello_simpleai RoBertaForSequenceClassification from Hello-SimpleAI
+author: John Snow Labs
+name: chatgpt_qa_detector_roberta_hello_simpleai
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chatgpt_qa_detector_roberta_hello_simpleai` is a English model originally trained by Hello-SimpleAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chatgpt_qa_detector_roberta_hello_simpleai_en_5.2.0_3.0_1701259188594.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chatgpt_qa_detector_roberta_hello_simpleai_en_5.2.0_3.0_1701259188594.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chatgpt_qa_detector_roberta_hello_simpleai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.8 MB|
+
+## References
+
+https://huggingface.co/Hello-SimpleAI/chatgpt-qa-detector-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-clickbait_binary_detection_en.md b/docs/_posts/ahmedlone127/2023-11-29-clickbait_binary_detection_en.md
new file mode 100644
index 000000000000..ac3a132c294c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-clickbait_binary_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English clickbait_binary_detection RoBertaForSequenceClassification from christinacdl
+author: John Snow Labs
+name: clickbait_binary_detection
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clickbait_binary_detection` is a English model originally trained by christinacdl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clickbait_binary_detection_en_5.2.0_3.0_1701291757213.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clickbait_binary_detection_en_5.2.0_3.0_1701291757213.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clickbait_binary_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/christinacdl/clickbait_binary_detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-cn_roberta_dig_kghate_en.md b/docs/_posts/ahmedlone127/2023-11-29-cn_roberta_dig_kghate_en.md
new file mode 100644
index 000000000000..233412aac2ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-cn_roberta_dig_kghate_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cn_roberta_dig_kghate RoBertaForSequenceClassification from Kghate
+author: John Snow Labs
+name: cn_roberta_dig_kghate
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cn_roberta_dig_kghate` is a English model originally trained by Kghate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cn_roberta_dig_kghate_en_5.2.0_3.0_1701275532048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cn_roberta_dig_kghate_en_5.2.0_3.0_1701275532048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cn_roberta_dig_kghate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|415.4 MB|
+
+## References
+
+https://huggingface.co/Kghate/CN_RoBERTa_Dig
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-codebert_base_malicious_urls_en.md b/docs/_posts/ahmedlone127/2023-11-29-codebert_base_malicious_urls_en.md
new file mode 100644
index 000000000000..3a2a54558705
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-codebert_base_malicious_urls_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English codebert_base_malicious_urls RoBertaForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: codebert_base_malicious_urls
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`codebert_base_malicious_urls` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebert_base_malicious_urls_en_5.2.0_3.0_1701278893768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebert_base_malicious_urls_en_5.2.0_3.0_1701278893768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codebert_base_malicious_urls|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/codebert-base-Malicious_URLs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-codebert_base_password_strength_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-29-codebert_base_password_strength_classifier_en.md
new file mode 100644
index 000000000000..47f067ede124
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-codebert_base_password_strength_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English codebert_base_password_strength_classifier RoBertaForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: codebert_base_password_strength_classifier
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`codebert_base_password_strength_classifier` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebert_base_password_strength_classifier_en_5.2.0_3.0_1701287859165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebert_base_password_strength_classifier_en_5.2.0_3.0_1701287859165.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codebert_base_password_strength_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/codebert-base-Password_Strength_Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-connecting_en.md b/docs/_posts/ahmedlone127/2023-11-29-connecting_en.md
new file mode 100644
index 000000000000..4ccd9f8899c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-connecting_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English connecting RoBertaForSequenceClassification from aekupor
+author: John Snow Labs
+name: connecting
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`connecting` is a English model originally trained by aekupor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/connecting_en_5.2.0_3.0_1701267511201.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/connecting_en_5.2.0_3.0_1701267511201.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|connecting|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|424.4 MB|
+
+## References
+
+https://huggingface.co/aekupor/connecting
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-covid_19_sentiment_analysis_roberta_model_en.md b/docs/_posts/ahmedlone127/2023-11-29-covid_19_sentiment_analysis_roberta_model_en.md
new file mode 100644
index 000000000000..7f5103868f93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-covid_19_sentiment_analysis_roberta_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_19_sentiment_analysis_roberta_model RoBertaForSequenceClassification from rasmodev
+author: John Snow Labs
+name: covid_19_sentiment_analysis_roberta_model
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_19_sentiment_analysis_roberta_model` is a English model originally trained by rasmodev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_19_sentiment_analysis_roberta_model_en_5.2.0_3.0_1701282224116.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_19_sentiment_analysis_roberta_model_en_5.2.0_3.0_1701282224116.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_19_sentiment_analysis_roberta_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/rasmodev/Covid-19_Sentiment_Analysis_RoBERTa_Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-covid_vaccine_tweet_sentiment_analysis_roberta_bambadij_en.md b/docs/_posts/ahmedlone127/2023-11-29-covid_vaccine_tweet_sentiment_analysis_roberta_bambadij_en.md
new file mode 100644
index 000000000000..ae2da1b08ac8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-covid_vaccine_tweet_sentiment_analysis_roberta_bambadij_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_vaccine_tweet_sentiment_analysis_roberta_bambadij RoBertaForSequenceClassification from bambadij
+author: John Snow Labs
+name: covid_vaccine_tweet_sentiment_analysis_roberta_bambadij
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_vaccine_tweet_sentiment_analysis_roberta_bambadij` is a English model originally trained by bambadij.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_vaccine_tweet_sentiment_analysis_roberta_bambadij_en_5.2.0_3.0_1701286504427.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_vaccine_tweet_sentiment_analysis_roberta_bambadij_en_5.2.0_3.0_1701286504427.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_vaccine_tweet_sentiment_analysis_roberta_bambadij|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/bambadij/COVID_Vaccine_Tweet_sentiment_analysis_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-cybert_en.md b/docs/_posts/ahmedlone127/2023-11-29-cybert_en.md
new file mode 100644
index 000000000000..d0093c4e7a37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-cybert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cybert RoBertaForSequenceClassification from SynamicTechnologies
+author: John Snow Labs
+name: cybert
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cybert` is a English model originally trained by SynamicTechnologies.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cybert_en_5.2.0_3.0_1701290721372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cybert_en_5.2.0_3.0_1701290721372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cybert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|313.4 MB|
+
+## References
+
+https://huggingface.co/SynamicTechnologies/CYBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-detexd_roberta_base_en.md b/docs/_posts/ahmedlone127/2023-11-29-detexd_roberta_base_en.md
new file mode 100644
index 000000000000..67a4b4c7afd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-detexd_roberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English detexd_roberta_base RoBertaForSequenceClassification from grammarly
+author: John Snow Labs
+name: detexd_roberta_base
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`detexd_roberta_base` is a English model originally trained by grammarly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/detexd_roberta_base_en_5.2.0_3.0_1701244212587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/detexd_roberta_base_en_5.2.0_3.0_1701244212587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|detexd_roberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/grammarly/detexd-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_commitment_en.md b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_commitment_en.md
new file mode 100644
index 000000000000..5569ceba8360
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_commitment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_climate_commitment RoBertaForSequenceClassification from climatebert
+author: John Snow Labs
+name: distilroberta_base_climate_commitment
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_climate_commitment` is a English model originally trained by climatebert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_climate_commitment_en_5.2.0_3.0_1701248872140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_climate_commitment_en_5.2.0_3.0_1701248872140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_climate_commitment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/climatebert/distilroberta-base-climate-commitment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_detector_en.md b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_detector_en.md
new file mode 100644
index 000000000000..c7d6eaf3cd05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_climate_detector RoBertaForSequenceClassification from climatebert
+author: John Snow Labs
+name: distilroberta_base_climate_detector
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_climate_detector` is a English model originally trained by climatebert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_climate_detector_en_5.2.0_3.0_1701259548838.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_climate_detector_en_5.2.0_3.0_1701259548838.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_climate_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/climatebert/distilroberta-base-climate-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_sentiment_en.md
new file mode 100644
index 000000000000..437ab853eec5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_climate_sentiment RoBertaForSequenceClassification from climatebert
+author: John Snow Labs
+name: distilroberta_base_climate_sentiment
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_climate_sentiment` is a English model originally trained by climatebert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_climate_sentiment_en_5.2.0_3.0_1701261669458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_climate_sentiment_en_5.2.0_3.0_1701261669458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_climate_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/climatebert/distilroberta-base-climate-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_specificity_en.md b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_specificity_en.md
new file mode 100644
index 000000000000..a5442cbb61a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_specificity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_climate_specificity RoBertaForSequenceClassification from climatebert
+author: John Snow Labs
+name: distilroberta_base_climate_specificity
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_climate_specificity` is a English model originally trained by climatebert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_climate_specificity_en_5.2.0_3.0_1701247818614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_climate_specificity_en_5.2.0_3.0_1701247818614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_climate_specificity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/climatebert/distilroberta-base-climate-specificity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_tcfd_en.md b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_tcfd_en.md
new file mode 100644
index 000000000000..76195a3a7069
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_climate_tcfd_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_climate_tcfd RoBertaForSequenceClassification from climatebert
+author: John Snow Labs
+name: distilroberta_base_climate_tcfd
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_climate_tcfd` is a English model originally trained by climatebert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_climate_tcfd_en_5.2.0_3.0_1701269916243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_climate_tcfd_en_5.2.0_3.0_1701269916243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_climate_tcfd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/climatebert/distilroberta-base-climate-tcfd
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_emolit_en.md b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_emolit_en.md
new file mode 100644
index 000000000000..e78db03f33db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_emolit_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_emolit RoBertaForSequenceClassification from lrei
+author: John Snow Labs
+name: distilroberta_base_emolit
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_emolit` is a English model originally trained by lrei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_emolit_en_5.2.0_3.0_1701297775726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_emolit_en_5.2.0_3.0_1701297775726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_emolit|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|458.3 MB|
+
+## References
+
+https://huggingface.co/lrei/distilroberta-base-emolit
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_etc_en.md b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_etc_en.md
new file mode 100644
index 000000000000..d4697e099747
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_etc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_etc RoBertaForSequenceClassification from agi-css
+author: John Snow Labs
+name: distilroberta_base_etc
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_etc` is a English model originally trained by agi-css.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_etc_en_5.2.0_3.0_1701287343535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_etc_en_5.2.0_3.0_1701287343535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_etc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.7 MB|
+
+## References
+
+https://huggingface.co/agi-css/distilroberta-base-etc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_finetuned_fake_news_detection_en.md b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_finetuned_fake_news_detection_en.md
new file mode 100644
index 000000000000..a07561bcaa89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_finetuned_fake_news_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_finetuned_fake_news_detection RoBertaForSequenceClassification from vikram71198
+author: John Snow Labs
+name: distilroberta_base_finetuned_fake_news_detection
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_finetuned_fake_news_detection` is a English model originally trained by vikram71198.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_fake_news_detection_en_5.2.0_3.0_1701285901356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_fake_news_detection_en_5.2.0_3.0_1701285901356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_finetuned_fake_news_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/vikram71198/distilroberta-base-finetuned-fake-news-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_movie_genre_prediction_en.md b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_movie_genre_prediction_en.md
new file mode 100644
index 000000000000..9cfe25ef382c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_movie_genre_prediction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_movie_genre_prediction RoBertaForSequenceClassification from nickmuchi
+author: John Snow Labs
+name: distilroberta_base_movie_genre_prediction
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_movie_genre_prediction` is a English model originally trained by nickmuchi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_movie_genre_prediction_en_5.2.0_3.0_1701290720458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_movie_genre_prediction_en_5.2.0_3.0_1701290720458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_movie_genre_prediction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.7 MB|
+
+## References
+
+https://huggingface.co/nickmuchi/distilroberta-base-movie-genre-prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_offensive_hateful_speech_text_multiclassification_en.md b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_offensive_hateful_speech_text_multiclassification_en.md
new file mode 100644
index 000000000000..97cf6cd8531c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-distilroberta_base_offensive_hateful_speech_text_multiclassification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_offensive_hateful_speech_text_multiclassification RoBertaForSequenceClassification from badmatr11x
+author: John Snow Labs
+name: distilroberta_base_offensive_hateful_speech_text_multiclassification
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_offensive_hateful_speech_text_multiclassification` is a English model originally trained by badmatr11x.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_offensive_hateful_speech_text_multiclassification_en_5.2.0_3.0_1701245428388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_offensive_hateful_speech_text_multiclassification_en_5.2.0_3.0_1701245428388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_offensive_hateful_speech_text_multiclassification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.9 MB|
+
+## References
+
+https://huggingface.co/badmatr11x/distilroberta-base-offensive-hateful-speech-text-multiclassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-eliciting_en.md b/docs/_posts/ahmedlone127/2023-11-29-eliciting_en.md
new file mode 100644
index 000000000000..7472d8f2cb56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-eliciting_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English eliciting RoBertaForSequenceClassification from aekupor
+author: John Snow Labs
+name: eliciting
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`eliciting` is a English model originally trained by aekupor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eliciting_en_5.2.0_3.0_1701244381585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eliciting_en_5.2.0_3.0_1701244381585.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eliciting|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|424.4 MB|
+
+## References
+
+https://huggingface.co/aekupor/eliciting
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-emoberta_base_en.md b/docs/_posts/ahmedlone127/2023-11-29-emoberta_base_en.md
new file mode 100644
index 000000000000..ab7ac88e2bb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-emoberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emoberta_base RoBertaForSequenceClassification from tae898
+author: John Snow Labs
+name: emoberta_base
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoberta_base` is a English model originally trained by tae898.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoberta_base_en_5.2.0_3.0_1701293375609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoberta_base_en_5.2.0_3.0_1701293375609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.1 MB|
+
+## References
+
+https://huggingface.co/tae898/emoberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-emoberta_large_en.md b/docs/_posts/ahmedlone127/2023-11-29-emoberta_large_en.md
new file mode 100644
index 000000000000..8af5cb8b1ebc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-emoberta_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emoberta_large RoBertaForSequenceClassification from tae898
+author: John Snow Labs
+name: emoberta_large
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoberta_large` is a English model originally trained by tae898.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoberta_large_en_5.2.0_3.0_1701248332117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoberta_large_en_5.2.0_3.0_1701248332117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoberta_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tae898/emoberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-emotion_text_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-29-emotion_text_classifier_en.md
new file mode 100644
index 000000000000..fdd137035b34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-emotion_text_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotion_text_classifier RoBertaForSequenceClassification from michellejieli
+author: John Snow Labs
+name: emotion_text_classifier
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_text_classifier` is a English model originally trained by michellejieli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_text_classifier_en_5.2.0_3.0_1701236883042.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_text_classifier_en_5.2.0_3.0_1701236883042.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_text_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/michellejieli/emotion_text_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-environmentalbert_environmental_en.md b/docs/_posts/ahmedlone127/2023-11-29-environmentalbert_environmental_en.md
new file mode 100644
index 000000000000..5164204e5e01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-environmentalbert_environmental_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English environmentalbert_environmental RoBertaForSequenceClassification from ESGBERT
+author: John Snow Labs
+name: environmentalbert_environmental
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`environmentalbert_environmental` is a English model originally trained by ESGBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/environmentalbert_environmental_en_5.2.0_3.0_1701249329598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/environmentalbert_environmental_en_5.2.0_3.0_1701249329598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|environmentalbert_environmental|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.9 MB|
+
+## References
+
+https://huggingface.co/ESGBERT/EnvironmentalBERT-environmental
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-envroberta_environmental_en.md b/docs/_posts/ahmedlone127/2023-11-29-envroberta_environmental_en.md
new file mode 100644
index 000000000000..f69aa6fef922
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-envroberta_environmental_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English envroberta_environmental RoBertaForSequenceClassification from ESGBERT
+author: John Snow Labs
+name: envroberta_environmental
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`envroberta_environmental` is a English model originally trained by ESGBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/envroberta_environmental_en_5.2.0_3.0_1701272166717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/envroberta_environmental_en_5.2.0_3.0_1701272166717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|envroberta_environmental|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/ESGBERT/EnvRoBERTa-environmental
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-eventclassifier_en.md b/docs/_posts/ahmedlone127/2023-11-29-eventclassifier_en.md
new file mode 100644
index 000000000000..1e955ca6cecf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-eventclassifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English eventclassifier RoBertaForSequenceClassification from hadifar
+author: John Snow Labs
+name: eventclassifier
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`eventclassifier` is a English model originally trained by hadifar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eventclassifier_en_5.2.0_3.0_1701258135126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eventclassifier_en_5.2.0_3.0_1701258135126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eventclassifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|439.4 MB|
+
+## References
+
+https://huggingface.co/hadifar/eventclassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-fake_news_bert_detect_en.md b/docs/_posts/ahmedlone127/2023-11-29-fake_news_bert_detect_en.md
new file mode 100644
index 000000000000..7d643d4a78b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-fake_news_bert_detect_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fake_news_bert_detect RoBertaForSequenceClassification from jy46604790
+author: John Snow Labs
+name: fake_news_bert_detect
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_bert_detect` is a English model originally trained by jy46604790.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_bert_detect_en_5.2.0_3.0_1701264506858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_bert_detect_en_5.2.0_3.0_1701264506858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_bert_detect|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.7 MB|
+
+## References
+
+https://huggingface.co/jy46604790/Fake-News-Bert-Detect
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-finetuned_fake_news_roberta_ikoghoemmanuell_en.md b/docs/_posts/ahmedlone127/2023-11-29-finetuned_fake_news_roberta_ikoghoemmanuell_en.md
new file mode 100644
index 000000000000..cc2481d7f5d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-finetuned_fake_news_roberta_ikoghoemmanuell_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_fake_news_roberta_ikoghoemmanuell RoBertaForSequenceClassification from ikoghoemmanuell
+author: John Snow Labs
+name: finetuned_fake_news_roberta_ikoghoemmanuell
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_fake_news_roberta_ikoghoemmanuell` is a English model originally trained by ikoghoemmanuell.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_fake_news_roberta_ikoghoemmanuell_en_5.2.0_3.0_1701272049376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_fake_news_roberta_ikoghoemmanuell_en_5.2.0_3.0_1701272049376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_fake_news_roberta_ikoghoemmanuell|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.0 MB|
+
+## References
+
+https://huggingface.co/ikoghoemmanuell/finetuned_fake_news_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-finetuned_roberta_text_emotion_recognition_en.md b/docs/_posts/ahmedlone127/2023-11-29-finetuned_roberta_text_emotion_recognition_en.md
new file mode 100644
index 000000000000..cfcc11abd4c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-finetuned_roberta_text_emotion_recognition_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_roberta_text_emotion_recognition RoBertaForSequenceClassification from eric0708
+author: John Snow Labs
+name: finetuned_roberta_text_emotion_recognition
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_roberta_text_emotion_recognition` is a English model originally trained by eric0708.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_roberta_text_emotion_recognition_en_5.2.0_3.0_1701287184893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_roberta_text_emotion_recognition_en_5.2.0_3.0_1701287184893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_roberta_text_emotion_recognition|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|421.5 MB|
+
+## References
+
+https://huggingface.co/eric0708/finetuned_roberta_text_emotion_recognition
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-finetuning_roberta_base_model_en.md b/docs/_posts/ahmedlone127/2023-11-29-finetuning_roberta_base_model_en.md
new file mode 100644
index 000000000000..852737af4134
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-finetuning_roberta_base_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_roberta_base_model RoBertaForSequenceClassification from KABANDA18
+author: John Snow Labs
+name: finetuning_roberta_base_model
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_roberta_base_model` is a English model originally trained by KABANDA18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_model_en_5.2.0_3.0_1701298548094.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_model_en_5.2.0_3.0_1701298548094.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_roberta_base_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|439.9 MB|
+
+## References
+
+https://huggingface.co/KABANDA18/FineTuning-Roberta-base_Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-finetuning_roberta_base_on_sst2_7000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-29-finetuning_roberta_base_on_sst2_7000_samples_en.md
new file mode 100644
index 000000000000..0f7d076b059d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-finetuning_roberta_base_on_sst2_7000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_roberta_base_on_sst2_7000_samples RoBertaForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_roberta_base_on_sst2_7000_samples
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_roberta_base_on_sst2_7000_samples` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_on_sst2_7000_samples_en_5.2.0_3.0_1701239359451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_on_sst2_7000_samples_en_5.2.0_3.0_1701239359451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_roberta_base_on_sst2_7000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.2 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/finetuning-roberta-base-on-sst2_7000_samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-gezelle_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-29-gezelle_sentiment_en.md
new file mode 100644
index 000000000000..25287bd1d109
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-gezelle_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English gezelle_sentiment RoBertaForSequenceClassification from lunadebruyne
+author: John Snow Labs
+name: gezelle_sentiment
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gezelle_sentiment` is a English model originally trained by lunadebruyne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gezelle_sentiment_en_5.2.0_3.0_1701250162255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gezelle_sentiment_en_5.2.0_3.0_1701250162255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gezelle_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|433.2 MB|
+
+## References
+
+https://huggingface.co/lunadebruyne/Gezelle-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-indonesian_roberta_base_indolem_sentiment_classifier_fold_0_id.md b/docs/_posts/ahmedlone127/2023-11-29-indonesian_roberta_base_indolem_sentiment_classifier_fold_0_id.md
new file mode 100644
index 000000000000..a6e747bb2056
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-indonesian_roberta_base_indolem_sentiment_classifier_fold_0_id.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Indonesian indonesian_roberta_base_indolem_sentiment_classifier_fold_0 RoBertaForSequenceClassification from w11wo
+author: John Snow Labs
+name: indonesian_roberta_base_indolem_sentiment_classifier_fold_0
+date: 2023-11-29
+tags: [roberta, id, open_source, sequence_classification, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indonesian_roberta_base_indolem_sentiment_classifier_fold_0` is a Indonesian model originally trained by w11wo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indonesian_roberta_base_indolem_sentiment_classifier_fold_0_id_5.2.0_3.0_1701278893799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indonesian_roberta_base_indolem_sentiment_classifier_fold_0_id_5.2.0_3.0_1701278893799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|misogynistic_statements_classification_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/glombardo/misogynistic-statements-classification-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-model_utterance_en.md b/docs/_posts/ahmedlone127/2023-11-29-model_utterance_en.md
new file mode 100644
index 000000000000..ae157d2be398
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-model_utterance_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English model_utterance RoBertaForSequenceClassification from aekupor
+author: John Snow Labs
+name: model_utterance
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_utterance` is a English model originally trained by aekupor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_utterance_en_5.2.0_3.0_1701268463101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_utterance_en_5.2.0_3.0_1701268463101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_utterance|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|426.0 MB|
+
+## References
+
+https://huggingface.co/aekupor/model_utterance
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-movie_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-29-movie_sentiment_en.md
new file mode 100644
index 000000000000..8061d9781826
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-movie_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English movie_sentiment RoBertaForSequenceClassification from gr8testgad-1
+author: John Snow Labs
+name: movie_sentiment
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_sentiment` is a English model originally trained by gr8testgad-1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_sentiment_en_5.2.0_3.0_1701264506844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_sentiment_en_5.2.0_3.0_1701264506844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|448.7 MB|
+
+## References
+
+https://huggingface.co/gr8testgad-1/movie_sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-multi_hate_en.md b/docs/_posts/ahmedlone127/2023-11-29-multi_hate_en.md
new file mode 100644
index 000000000000..99abebb20fa7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-multi_hate_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English multi_hate RoBertaForSequenceClassification from SotirisLegkas
+author: John Snow Labs
+name: multi_hate
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multi_hate` is a English model originally trained by SotirisLegkas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_hate_en_5.2.0_3.0_1701281113150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_hate_en_5.2.0_3.0_1701281113150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_hate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|461.0 MB|
+
+## References
+
+https://huggingface.co/SotirisLegkas/multi_hate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-muppet_roberta_base_joke_detector_en.md b/docs/_posts/ahmedlone127/2023-11-29-muppet_roberta_base_joke_detector_en.md
new file mode 100644
index 000000000000..1f75731a67d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-muppet_roberta_base_joke_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English muppet_roberta_base_joke_detector RoBertaForSequenceClassification from Reggie
+author: John Snow Labs
+name: muppet_roberta_base_joke_detector
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`muppet_roberta_base_joke_detector` is a English model originally trained by Reggie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/muppet_roberta_base_joke_detector_en_5.2.0_3.0_1701280228201.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/muppet_roberta_base_joke_detector_en_5.2.0_3.0_1701280228201.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|muppet_roberta_base_joke_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.0 MB|
+
+## References
+
+https://huggingface.co/Reggie/muppet-roberta-base-joke_detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-mytest_trainer_roberta_base_en.md b/docs/_posts/ahmedlone127/2023-11-29-mytest_trainer_roberta_base_en.md
new file mode 100644
index 000000000000..9cae2abfa136
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-mytest_trainer_roberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mytest_trainer_roberta_base RoBertaForSequenceClassification from DeeeTeeee01
+author: John Snow Labs
+name: mytest_trainer_roberta_base
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mytest_trainer_roberta_base` is a English model originally trained by DeeeTeeee01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mytest_trainer_roberta_base_en_5.2.0_3.0_1701264184863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mytest_trainer_roberta_base_en_5.2.0_3.0_1701264184863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mytest_trainer_roberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|431.5 MB|
+
+## References
+
+https://huggingface.co/DeeeTeeee01/mytest_trainer_roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-netzero_reduction_en.md b/docs/_posts/ahmedlone127/2023-11-29-netzero_reduction_en.md
new file mode 100644
index 000000000000..47ddd93ff5fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-netzero_reduction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English netzero_reduction RoBertaForSequenceClassification from climatebert
+author: John Snow Labs
+name: netzero_reduction
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`netzero_reduction` is a English model originally trained by climatebert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/netzero_reduction_en_5.2.0_3.0_1701278990946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/netzero_reduction_en_5.2.0_3.0_1701278990946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|netzero_reduction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/climatebert/netzero-reduction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-nlp_capstone_en.md b/docs/_posts/ahmedlone127/2023-11-29-nlp_capstone_en.md
new file mode 100644
index 000000000000..7d84c428582e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-nlp_capstone_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_capstone RoBertaForSequenceClassification from petermutwiri
+author: John Snow Labs
+name: nlp_capstone
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_capstone` is a English model originally trained by petermutwiri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_capstone_en_5.2.0_3.0_1701261048099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_capstone_en_5.2.0_3.0_1701261048099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_capstone|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|449.5 MB|
+
+## References
+
+https://huggingface.co/petermutwiri/NLP_Capstone
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-paraphrase_classification_onestop_and_adversarial_en.md b/docs/_posts/ahmedlone127/2023-11-29-paraphrase_classification_onestop_and_adversarial_en.md
new file mode 100644
index 000000000000..afb5beb7a272
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-paraphrase_classification_onestop_and_adversarial_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English paraphrase_classification_onestop_and_adversarial RoBertaForSequenceClassification from Andrianos
+author: John Snow Labs
+name: paraphrase_classification_onestop_and_adversarial
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`paraphrase_classification_onestop_and_adversarial` is a English model originally trained by Andrianos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paraphrase_classification_onestop_and_adversarial_en_5.2.0_3.0_1701292366693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paraphrase_classification_onestop_and_adversarial_en_5.2.0_3.0_1701292366693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|partypress_monolingual_netherlands|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|nl|
+|Size:|438.0 MB|
+
+## References
+
+https://huggingface.co/partypress/partypress-monolingual-netherlands
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-phosformer_en.md b/docs/_posts/ahmedlone127/2023-11-29-phosformer_en.md
new file mode 100644
index 000000000000..f6fcd4b4a9a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-phosformer_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English phosformer RoBertaForSequenceClassification from waylandy
+author: John Snow Labs
+name: phosformer
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phosformer` is a English model originally trained by waylandy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phosformer_en_5.2.0_3.0_1701237505009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phosformer_en_5.2.0_3.0_1701237505009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phosformer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|173.4 MB|
+
+## References
+
+https://huggingface.co/waylandy/phosformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-probing_en.md b/docs/_posts/ahmedlone127/2023-11-29-probing_en.md
new file mode 100644
index 000000000000..c1347fc22ee0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-probing_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English probing RoBertaForSequenceClassification from aekupor
+author: John Snow Labs
+name: probing
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`probing` is a English model originally trained by aekupor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/probing_en_5.2.0_3.0_1701243118148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/probing_en_5.2.0_3.0_1701243118148.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|probing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|426.0 MB|
+
+## References
+
+https://huggingface.co/aekupor/probing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-qnli_distilroberta_base_en.md b/docs/_posts/ahmedlone127/2023-11-29-qnli_distilroberta_base_en.md
new file mode 100644
index 000000000000..e3ec3a9c1803
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-qnli_distilroberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English qnli_distilroberta_base RoBertaForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: qnli_distilroberta_base
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qnli_distilroberta_base` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qnli_distilroberta_base_en_5.2.0_3.0_1701246579035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qnli_distilroberta_base_en_5.2.0_3.0_1701246579035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qnli_distilroberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/qnli-distilroberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-query_wellformedness_score_en.md b/docs/_posts/ahmedlone127/2023-11-29-query_wellformedness_score_en.md
new file mode 100644
index 000000000000..a1b47c6b490d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-query_wellformedness_score_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English query_wellformedness_score RoBertaForSequenceClassification from Ashishkr
+author: John Snow Labs
+name: query_wellformedness_score
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`query_wellformedness_score` is a English model originally trained by Ashishkr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/query_wellformedness_score_en_5.2.0_3.0_1701252816065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/query_wellformedness_score_en_5.2.0_3.0_1701252816065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|query_wellformedness_score|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.0 MB|
+
+## References
+
+https://huggingface.co/Ashishkr/query_wellformedness_score
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-quip_512_mocha_en.md b/docs/_posts/ahmedlone127/2023-11-29-quip_512_mocha_en.md
new file mode 100644
index 000000000000..4d8dbacc59fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-quip_512_mocha_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English quip_512_mocha RoBertaForSequenceClassification from alirezamsh
+author: John Snow Labs
+name: quip_512_mocha
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quip_512_mocha` is a English model originally trained by alirezamsh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quip_512_mocha_en_5.2.0_3.0_1701239483621.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quip_512_mocha_en_5.2.0_3.0_1701239483621.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quip_512_mocha|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/alirezamsh/quip-512-mocha
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-quora_distilroberta_base_en.md b/docs/_posts/ahmedlone127/2023-11-29-quora_distilroberta_base_en.md
new file mode 100644
index 000000000000..3b91228170a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-quora_distilroberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English quora_distilroberta_base RoBertaForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: quora_distilroberta_base
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quora_distilroberta_base` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quora_distilroberta_base_en_5.2.0_3.0_1701258665214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quora_distilroberta_base_en_5.2.0_3.0_1701258665214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quora_distilroberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/quora-distilroberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-quora_roberta_base_cross_encoder_en.md b/docs/_posts/ahmedlone127/2023-11-29-quora_roberta_base_cross_encoder_en.md
new file mode 100644
index 000000000000..fe4ba938cdae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-quora_roberta_base_cross_encoder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English quora_roberta_base_cross_encoder RoBertaForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: quora_roberta_base_cross_encoder
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quora_roberta_base_cross_encoder` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quora_roberta_base_cross_encoder_en_5.2.0_3.0_1701284342256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quora_roberta_base_cross_encoder_en_5.2.0_3.0_1701284342256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quora_roberta_base_cross_encoder|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.4 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/quora-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-quora_roberta_large_cross_encoder_en.md b/docs/_posts/ahmedlone127/2023-11-29-quora_roberta_large_cross_encoder_en.md
new file mode 100644
index 000000000000..4f518e9cd9a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-quora_roberta_large_cross_encoder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English quora_roberta_large_cross_encoder RoBertaForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: quora_roberta_large_cross_encoder
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quora_roberta_large_cross_encoder` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quora_roberta_large_cross_encoder_en_5.2.0_3.0_1701237564176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quora_roberta_large_cross_encoder_en_5.2.0_3.0_1701237564176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quora_roberta_large_cross_encoder|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/cross-encoder/quora-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-radar_vicuna_7b_en.md b/docs/_posts/ahmedlone127/2023-11-29-radar_vicuna_7b_en.md
new file mode 100644
index 000000000000..fd73dcd85c71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-radar_vicuna_7b_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English radar_vicuna_7b RoBertaForSequenceClassification from TrustSafeAI
+author: John Snow Labs
+name: radar_vicuna_7b
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`radar_vicuna_7b` is a English model originally trained by TrustSafeAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/radar_vicuna_7b_en_5.2.0_3.0_1701251307719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/radar_vicuna_7b_en_5.2.0_3.0_1701251307719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|radar_vicuna_7b|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/TrustSafeAI/RADAR-Vicuna-7B
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-revoicing_en.md b/docs/_posts/ahmedlone127/2023-11-29-revoicing_en.md
new file mode 100644
index 000000000000..49929dd401e5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-revoicing_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English revoicing RoBertaForSequenceClassification from aekupor
+author: John Snow Labs
+name: revoicing
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`revoicing` is a English model originally trained by aekupor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/revoicing_en_5.2.0_3.0_1701269921526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/revoicing_en_5.2.0_3.0_1701269921526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|revoicing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|426.0 MB|
+
+## References
+
+https://huggingface.co/aekupor/revoicing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-rewardmodelsmallerquestionwithtwolabelslengthjustified_rajueee_en.md b/docs/_posts/ahmedlone127/2023-11-29-rewardmodelsmallerquestionwithtwolabelslengthjustified_rajueee_en.md
new file mode 100644
index 000000000000..3f9c5b9ff2ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-rewardmodelsmallerquestionwithtwolabelslengthjustified_rajueee_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rewardmodelsmallerquestionwithtwolabelslengthjustified_rajueee RoBertaForSequenceClassification from RajuEEE
+author: John Snow Labs
+name: rewardmodelsmallerquestionwithtwolabelslengthjustified_rajueee
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rewardmodelsmallerquestionwithtwolabelslengthjustified_rajueee` is a English model originally trained by RajuEEE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rewardmodelsmallerquestionwithtwolabelslengthjustified_rajueee_en_5.2.0_3.0_1701290721348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rewardmodelsmallerquestionwithtwolabelslengthjustified_rajueee_en_5.2.0_3.0_1701290721348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rewardmodelsmallerquestionwithtwolabelslengthjustified_rajueee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|433.3 MB|
+
+## References
+
+https://huggingface.co/RajuEEE/RewardModelSmallerQuestionWithTwoLabelsLengthJustified
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_5emotions_cls_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_5emotions_cls_en.md
new file mode 100644
index 000000000000..a1e121cbc410
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_5emotions_cls_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_5emotions_cls RoBertaForSequenceClassification from mountinyy
+author: John Snow Labs
+name: roberta_5emotions_cls
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_5emotions_cls` is a English model originally trained by mountinyy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_5emotions_cls_en_5.2.0_3.0_1701273565147.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_5emotions_cls_en_5.2.0_3.0_1701273565147.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_5emotions_cls|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.9 MB|
+
+## References
+
+https://huggingface.co/mountinyy/roberta-5emotions-cls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_academic_detector_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_academic_detector_en.md
new file mode 100644
index 000000000000..79276af335b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_academic_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_academic_detector RoBertaForSequenceClassification from andreas122001
+author: John Snow Labs
+name: roberta_academic_detector
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_academic_detector` is a English model originally trained by andreas122001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_academic_detector_en_5.2.0_3.0_1701256411349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_academic_detector_en_5.2.0_3.0_1701256411349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_academic_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.7 MB|
+
+## References
+
+https://huggingface.co/andreas122001/roberta-academic-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_ag_news_achimoraites_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_ag_news_achimoraites_en.md
new file mode 100644
index 000000000000..28e043d9f125
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_ag_news_achimoraites_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_ag_news_achimoraites RoBertaForSequenceClassification from achimoraites
+author: John Snow Labs
+name: roberta_base_ag_news_achimoraites
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ag_news_achimoraites` is a English model originally trained by achimoraites.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_achimoraites_en_5.2.0_3.0_1701262683718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_achimoraites_en_5.2.0_3.0_1701262683718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ag_news_achimoraites|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/achimoraites/roberta-base_ag_news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_ag_news_textattack_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_ag_news_textattack_en.md
new file mode 100644
index 000000000000..609275daeaab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_ag_news_textattack_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_ag_news_textattack RoBertaForSequenceClassification from textattack
+author: John Snow Labs
+name: roberta_base_ag_news_textattack
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ag_news_textattack` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_textattack_en_5.2.0_3.0_1701260450354.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_textattack_en_5.2.0_3.0_1701260450354.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_ranker|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|464.8 MB|
+
+## References
+
+https://huggingface.co/IIC/roberta-base-bne-ranker
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_boolq_shahrukhx01_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_boolq_shahrukhx01_en.md
new file mode 100644
index 000000000000..855e67dcbc02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_boolq_shahrukhx01_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_boolq_shahrukhx01 RoBertaForSequenceClassification from shahrukhx01
+author: John Snow Labs
+name: roberta_base_boolq_shahrukhx01
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_boolq_shahrukhx01` is a English model originally trained by shahrukhx01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_boolq_shahrukhx01_en_5.2.0_3.0_1701268217502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_boolq_shahrukhx01_en_5.2.0_3.0_1701268217502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_boolq_shahrukhx01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|457.2 MB|
+
+## References
+
+https://huggingface.co/shahrukhx01/roberta-base-boolq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_cola_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_cola_en.md
new file mode 100644
index 000000000000..821093fa2c6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_cola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_cola RoBertaForSequenceClassification from textattack
+author: John Snow Labs
+name: roberta_base_cola
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_cola` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_cola_en_5.2.0_3.0_1701237344333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_cola_en_5.2.0_3.0_1701237344333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_cola|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|434.5 MB|
+
+## References
+
+https://huggingface.co/textattack/roberta-base-CoLA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_crest_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_crest_en.md
new file mode 100644
index 000000000000..a4fbad3738a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_crest_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_crest RoBertaForSequenceClassification from gargam
+author: John Snow Labs
+name: roberta_base_crest
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_crest` is a English model originally trained by gargam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_crest_en_5.2.0_3.0_1701261048162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_crest_en_5.2.0_3.0_1701261048162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_crest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.2 MB|
+
+## References
+
+https://huggingface.co/gargam/roberta-base-crest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_emotion_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_emotion_classifier_en.md
new file mode 100644
index 000000000000..78061f879b52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_emotion_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_emotion_classifier RoBertaForSequenceClassification from Azma-AI
+author: John Snow Labs
+name: roberta_base_emotion_classifier
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_emotion_classifier` is a English model originally trained by Azma-AI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_emotion_classifier_en_5.2.0_3.0_1701296630343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_emotion_classifier_en_5.2.0_3.0_1701296630343.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_emotion_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|455.5 MB|
+
+## References
+
+https://huggingface.co/Azma-AI/roberta-base-emotion-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_emotions_detection_from_text_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_emotions_detection_from_text_en.md
new file mode 100644
index 000000000000..961b5f8af666
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_emotions_detection_from_text_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_emotions_detection_from_text RoBertaForSequenceClassification from badmatr11x
+author: John Snow Labs
+name: roberta_base_emotions_detection_from_text
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_emotions_detection_from_text` is a English model originally trained by badmatr11x.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_emotions_detection_from_text_en_5.2.0_3.0_1701280228206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_emotions_detection_from_text_en_5.2.0_3.0_1701280228206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_emotions_detection_from_text|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/badmatr11x/roberta-base-emotions-detection-from-text
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_imdb_wrmurray_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_imdb_wrmurray_en.md
new file mode 100644
index 000000000000..fdc7bab563bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_imdb_wrmurray_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_imdb_wrmurray RoBertaForSequenceClassification from wrmurray
+author: John Snow Labs
+name: roberta_base_finetuned_imdb_wrmurray
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_imdb_wrmurray` is a English model originally trained by wrmurray.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_imdb_wrmurray_en_5.2.0_3.0_1701283579603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_imdb_wrmurray_en_5.2.0_3.0_1701283579603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_imdb_wrmurray|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.0 MB|
+
+## References
+
+https://huggingface.co/wrmurray/roberta-base-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_sms_spam_detection_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_sms_spam_detection_en.md
new file mode 100644
index 000000000000..00a760044de2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_sms_spam_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_sms_spam_detection RoBertaForSequenceClassification from mariagrandury
+author: John Snow Labs
+name: roberta_base_finetuned_sms_spam_detection
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_sms_spam_detection` is a English model originally trained by mariagrandury.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sms_spam_detection_en_5.2.0_3.0_1701245801948.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sms_spam_detection_en_5.2.0_3.0_1701245801948.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_sms_spam_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.8 MB|
+
+## References
+
+https://huggingface.co/mariagrandury/roberta-base-finetuned-sms-spam-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_toxic_comment_detection_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_toxic_comment_detection_en.md
new file mode 100644
index 000000000000..d81a4d656025
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_toxic_comment_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_toxic_comment_detection RoBertaForSequenceClassification from tillschwoerer
+author: John Snow Labs
+name: roberta_base_finetuned_toxic_comment_detection
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_toxic_comment_detection` is a English model originally trained by tillschwoerer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_toxic_comment_detection_en_5.2.0_3.0_1701281723380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_toxic_comment_detection_en_5.2.0_3.0_1701281723380.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_toxic_comment_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.8 MB|
+
+## References
+
+https://huggingface.co/tillschwoerer/roberta-base-finetuned-toxic-comment-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_yelp_polarity_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_yelp_polarity_en.md
new file mode 100644
index 000000000000..61014c92d06a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_finetuned_yelp_polarity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_yelp_polarity RoBertaForSequenceClassification from VictorSanh
+author: John Snow Labs
+name: roberta_base_finetuned_yelp_polarity
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_yelp_polarity` is a English model originally trained by VictorSanh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_yelp_polarity_en_5.2.0_3.0_1701237936867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_yelp_polarity_en_5.2.0_3.0_1701237936867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_yelp_polarity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.6 MB|
+
+## References
+
+https://huggingface.co/VictorSanh/roberta-base-finetuned-yelp-polarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_formality_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_formality_en.md
new file mode 100644
index 000000000000..7797a583643c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_formality_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_formality RoBertaForSequenceClassification from cointegrated
+author: John Snow Labs
+name: roberta_base_formality
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_formality` is a English model originally trained by cointegrated.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_formality_en_5.2.0_3.0_1701271656433.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_formality_en_5.2.0_3.0_1701271656433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_formality|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|453.4 MB|
+
+## References
+
+https://huggingface.co/cointegrated/roberta-base-formality
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_formality_ranker_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_formality_ranker_en.md
new file mode 100644
index 000000000000..4cd05bb40745
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_formality_ranker_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_formality_ranker RoBertaForSequenceClassification from s-nlp
+author: John Snow Labs
+name: roberta_base_formality_ranker
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_formality_ranker` is a English model originally trained by s-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_formality_ranker_en_5.2.0_3.0_1701265636121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_formality_ranker_en_5.2.0_3.0_1701265636121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_formality_ranker|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|454.3 MB|
+
+## References
+
+https://huggingface.co/s-nlp/roberta-base-formality-ranker
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_go_emotions_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_go_emotions_en.md
new file mode 100644
index 000000000000..ef71a8106766
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_go_emotions_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_go_emotions RoBertaForSequenceClassification from SamLowe
+author: John Snow Labs
+name: roberta_base_go_emotions
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_go_emotions` is a English model originally trained by SamLowe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_go_emotions_en_5.2.0_3.0_1701251252226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_go_emotions_en_5.2.0_3.0_1701251252226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_go_emotions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|455.5 MB|
+
+## References
+
+https://huggingface.co/SamLowe/roberta-base-go_emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_imdb_textattack_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_imdb_textattack_en.md
new file mode 100644
index 000000000000..4300101b381b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_imdb_textattack_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_imdb_textattack RoBertaForSequenceClassification from textattack
+author: John Snow Labs
+name: roberta_base_imdb_textattack
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_imdb_textattack` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_imdb_textattack_en_5.2.0_3.0_1701275343918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_imdb_textattack_en_5.2.0_3.0_1701275343918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_imdb_textattack|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|462.7 MB|
+
+## References
+
+https://huggingface.co/textattack/roberta-base-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_mnli_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_mnli_en.md
new file mode 100644
index 000000000000..82dae801d7c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_mnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_mnli RoBertaForSequenceClassification from textattack
+author: John Snow Labs
+name: roberta_base_mnli
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_mnli` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_mnli_en_5.2.0_3.0_1701263180810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_mnli_en_5.2.0_3.0_1701263180810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_mnli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|461.7 MB|
+
+## References
+
+https://huggingface.co/textattack/roberta-base-MNLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_mrpc_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_mrpc_en.md
new file mode 100644
index 000000000000..77113e025f1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_mrpc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_mrpc RoBertaForSequenceClassification from textattack
+author: John Snow Labs
+name: roberta_base_mrpc
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_mrpc` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_mrpc_en_5.2.0_3.0_1701256795418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_mrpc_en_5.2.0_3.0_1701256795418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_mrpc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.9 MB|
+
+## References
+
+https://huggingface.co/textattack/roberta-base-MRPC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_openai_detector_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_openai_detector_en.md
new file mode 100644
index 000000000000..2ef43e844df9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_openai_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_openai_detector RoBertaForSequenceClassification from huggingface
+author: John Snow Labs
+name: roberta_base_openai_detector
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_openai_detector` is a English model originally trained by huggingface.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_openai_detector_en_5.2.0_3.0_1701256795407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_openai_detector_en_5.2.0_3.0_1701256795407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_openai_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/roberta-base-openai-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_pakornor_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_pakornor_en.md
new file mode 100644
index 000000000000..2e363ff98889
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_pakornor_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_pakornor RoBertaForSequenceClassification from pakornor
+author: John Snow Labs
+name: roberta_base_pakornor
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_pakornor` is a English model originally trained by pakornor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_pakornor_en_5.2.0_3.0_1701279154067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_pakornor_en_5.2.0_3.0_1701279154067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_pakornor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|431.3 MB|
+
+## References
+
+https://huggingface.co/pakornor/roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_rotten_tomatoes_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_rotten_tomatoes_en.md
new file mode 100644
index 000000000000..11f83f308521
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_rotten_tomatoes_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_rotten_tomatoes RoBertaForSequenceClassification from textattack
+author: John Snow Labs
+name: roberta_base_rotten_tomatoes
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_rotten_tomatoes` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_rotten_tomatoes_en_5.2.0_3.0_1701289804351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_rotten_tomatoes_en_5.2.0_3.0_1701289804351.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_rotten_tomatoes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|442.7 MB|
+
+## References
+
+https://huggingface.co/textattack/roberta-base-rotten-tomatoes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_rte_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_rte_en.md
new file mode 100644
index 000000000000..f13903d3c102
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_rte_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_rte RoBertaForSequenceClassification from textattack
+author: John Snow Labs
+name: roberta_base_rte
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_rte` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_rte_en_5.2.0_3.0_1701273565017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_rte_en_5.2.0_3.0_1701273565017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_rte|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|445.7 MB|
+
+## References
+
+https://huggingface.co/textattack/roberta-base-RTE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_rte_willheld_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_rte_willheld_en.md
new file mode 100644
index 000000000000..91f6b415d09e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_rte_willheld_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_rte_willheld RoBertaForSequenceClassification from WillHeld
+author: John Snow Labs
+name: roberta_base_rte_willheld
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_rte_willheld` is a English model originally trained by WillHeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_rte_willheld_en_5.2.0_3.0_1701237998953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_rte_willheld_en_5.2.0_3.0_1701237998953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_rte_willheld|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.1 MB|
+
+## References
+
+https://huggingface.co/WillHeld/roberta-base-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_snli_custeau_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_snli_custeau_en.md
new file mode 100644
index 000000000000..557b17871eac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_snli_custeau_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_snli_custeau RoBertaForSequenceClassification from custeau
+author: John Snow Labs
+name: roberta_base_snli_custeau
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_snli_custeau` is a English model originally trained by custeau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_snli_custeau_en_5.2.0_3.0_1701284830540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_snli_custeau_en_5.2.0_3.0_1701284830540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_snli_custeau|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|445.2 MB|
+
+## References
+
+https://huggingface.co/custeau/roberta-base-snli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_snli_pepa_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_snli_pepa_en.md
new file mode 100644
index 000000000000..9b4c570318a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_snli_pepa_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_snli_pepa RoBertaForSequenceClassification from pepa
+author: John Snow Labs
+name: roberta_base_snli_pepa
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_snli_pepa` is a English model originally trained by pepa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_snli_pepa_en_5.2.0_3.0_1701255448598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_snli_pepa_en_5.2.0_3.0_1701255448598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_snli_pepa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|452.3 MB|
+
+## References
+
+https://huggingface.co/pepa/roberta-base-snli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_sst_2_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_sst_2_en.md
new file mode 100644
index 000000000000..2362767ec877
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_sst_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_sst_2 RoBertaForSequenceClassification from textattack
+author: John Snow Labs
+name: roberta_base_sst_2
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_sst_2` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_sst_2_en_5.2.0_3.0_1701263180806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_sst_2_en_5.2.0_3.0_1701263180806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_sst_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|433.2 MB|
+
+## References
+
+https://huggingface.co/textattack/roberta-base-SST-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_stocktwits_finetuned_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_stocktwits_finetuned_en.md
new file mode 100644
index 000000000000..77e27e57201e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_stocktwits_finetuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_stocktwits_finetuned RoBertaForSequenceClassification from zhayunduo
+author: John Snow Labs
+name: roberta_base_stocktwits_finetuned
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_stocktwits_finetuned` is a English model originally trained by zhayunduo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_stocktwits_finetuned_en_5.2.0_3.0_1701252096276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_stocktwits_finetuned_en_5.2.0_3.0_1701252096276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_stocktwits_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.0 MB|
+
+## References
+
+https://huggingface.co/zhayunduo/roberta-base-stocktwits-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_stsb_willheld_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_stsb_willheld_en.md
new file mode 100644
index 000000000000..598188994c21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_stsb_willheld_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_stsb_willheld RoBertaForSequenceClassification from WillHeld
+author: John Snow Labs
+name: roberta_base_stsb_willheld
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_stsb_willheld` is a English model originally trained by WillHeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_stsb_willheld_en_5.2.0_3.0_1701287298687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_stsb_willheld_en_5.2.0_3.0_1701287298687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_stsb_willheld|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.5 MB|
+
+## References
+
+https://huggingface.co/WillHeld/roberta-base-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_base_tweet_sentiment_english_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_tweet_sentiment_english_en.md
new file mode 100644
index 000000000000..c8b750f0f7d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_base_tweet_sentiment_english_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_tweet_sentiment_english RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_base_tweet_sentiment_english
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_tweet_sentiment_english` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_sentiment_english_en_5.2.0_3.0_1701273565133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_sentiment_english_en_5.2.0_3.0_1701273565133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_classifier_autonlp_covid_432211280|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+|Case sensitive:|true|
+|Max sentence length:|256|
+
+## References
+
+References
+
+- https://huggingface.co/anelnurkayeva/autonlp-covid-432211280
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_classifier_autonlp_doctor_german_24595548_de.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_classifier_autonlp_doctor_german_24595548_de.md
new file mode 100644
index 000000000000..920c4e887b8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_classifier_autonlp_doctor_german_24595548_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German roberta_classifier_autonlp_doctor_german_24595548 RoBertaForSequenceClassification from muhtasham
+author: John Snow Labs
+name: roberta_classifier_autonlp_doctor_german_24595548
+date: 2023-11-29
+tags: [roberta, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_classifier_autonlp_doctor_german_24595548` is a German model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_classifier_autonlp_doctor_german_24595548_de_5.2.0_3.0_1701218235169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_classifier_autonlp_doctor_german_24595548_de_5.2.0_3.0_1701218235169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_classifier_tigrinya_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ti|
+|Size:|467.1 MB|
+
+## References
+
+https://huggingface.co/fgaim/tiroberta-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_classifier_tonga_tonga_islands_music_genre_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_classifier_tonga_tonga_islands_music_genre_en.md
new file mode 100644
index 000000000000..a2f0b6f1286f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_classifier_tonga_tonga_islands_music_genre_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_classifier_tonga_tonga_islands_music_genre RoBertaForSequenceClassification from luiz826
+author: John Snow Labs
+name: roberta_classifier_tonga_tonga_islands_music_genre
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_classifier_tonga_tonga_islands_music_genre` is a English model originally trained by luiz826.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_classifier_tonga_tonga_islands_music_genre_en_5.2.0_3.0_1701235415748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_classifier_tonga_tonga_islands_music_genre_en_5.2.0_3.0_1701235415748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cls_consec|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|458.7 MB|
+
+## References
+
+https://huggingface.co/dennlinger/roberta-cls-consec
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_daily_dialog_intent_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_daily_dialog_intent_classifier_en.md
new file mode 100644
index 000000000000..175ab71a7503
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_daily_dialog_intent_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_daily_dialog_intent_classifier RoBertaForSequenceClassification from rajkumarrrk
+author: John Snow Labs
+name: roberta_daily_dialog_intent_classifier
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_daily_dialog_intent_classifier` is a English model originally trained by rajkumarrrk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_daily_dialog_intent_classifier_en_5.2.0_3.0_1701243118123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_daily_dialog_intent_classifier_en_5.2.0_3.0_1701243118123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_daily_dialog_intent_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/rajkumarrrk/roberta-daily-dialog-intent-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_fact_check_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_fact_check_en.md
new file mode 100644
index 000000000000..ff494c6f5c4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_fact_check_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_fact_check RoBertaForSequenceClassification from Dzeniks
+author: John Snow Labs
+name: roberta_fact_check
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_fact_check` is a English model originally trained by Dzeniks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_fact_check_en_5.2.0_3.0_1701259188514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_fact_check_en_5.2.0_3.0_1701259188514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_fact_check|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.3 MB|
+
+## References
+
+https://huggingface.co/Dzeniks/roberta-fact-check
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_fine_tuned_sentiment_newsmtsc_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_fine_tuned_sentiment_newsmtsc_en.md
new file mode 100644
index 000000000000..dbdb208d81da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_fine_tuned_sentiment_newsmtsc_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_fine_tuned_sentiment_newsmtsc RoBertaForSequenceClassification from RogerKam
+author: John Snow Labs
+name: roberta_fine_tuned_sentiment_newsmtsc
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_fine_tuned_sentiment_newsmtsc` is a English model originally trained by RogerKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_fine_tuned_sentiment_newsmtsc_en_5.2.0_3.0_1701278006919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_fine_tuned_sentiment_newsmtsc_en_5.2.0_3.0_1701278006919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_fine_tuned_sentiment_newsmtsc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|449.0 MB|
+
+## References
+
+https://huggingface.co/RogerKam/roberta_fine_tuned_sentiment_newsmtsc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_first_toxicity_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_first_toxicity_classifier_en.md
new file mode 100644
index 000000000000..4b24d2a2bf75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_first_toxicity_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_first_toxicity_classifier RoBertaForSequenceClassification from s-nlp
+author: John Snow Labs
+name: roberta_first_toxicity_classifier
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_first_toxicity_classifier` is a English model originally trained by s-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_first_toxicity_classifier_en_5.2.0_3.0_1701277283865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_first_toxicity_classifier_en_5.2.0_3.0_1701277283865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_first_toxicity_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/s-nlp/roberta_first_toxicity_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_imdb_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_imdb_sentiment_analysis_en.md
new file mode 100644
index 000000000000..5c43e04b6e66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_imdb_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_imdb_sentiment_analysis RoBertaForSequenceClassification from ncduy
+author: John Snow Labs
+name: roberta_imdb_sentiment_analysis
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_imdb_sentiment_analysis` is a English model originally trained by ncduy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_imdb_sentiment_analysis_en_5.2.0_3.0_1701289274356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_imdb_sentiment_analysis_en_5.2.0_3.0_1701289274356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_jurisbert_clas_artificial_languages_convencion_americana_dh|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/hackathon-pln-es/jurisbert-clas-art-convencion-americana-dh
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_large_finetuned_sst5_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_large_finetuned_sst5_en.md
new file mode 100644
index 000000000000..e5b206929bad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_large_finetuned_sst5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_finetuned_sst5 RoBertaForSequenceClassification from Unso
+author: John Snow Labs
+name: roberta_large_finetuned_sst5
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_sst5` is a English model originally trained by Unso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_sst5_en_5.2.0_3.0_1701297099184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_sst5_en_5.2.0_3.0_1701297099184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_sst5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Unso/roberta-large-finetuned-sst5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_mixed_detector_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_mixed_detector_en.md
new file mode 100644
index 000000000000..298b4dee0468
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_mixed_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_mixed_detector RoBertaForSequenceClassification from andreas122001
+author: John Snow Labs
+name: roberta_mixed_detector
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_mixed_detector` is a English model originally trained by andreas122001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_mixed_detector_en_5.2.0_3.0_1701286021283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_mixed_detector_en_5.2.0_3.0_1701286021283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_mixed_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|463.1 MB|
+
+## References
+
+https://huggingface.co/andreas122001/roberta-mixed-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_mtl_media_bias_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_mtl_media_bias_en.md
new file mode 100644
index 000000000000..fc59d5673b7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_mtl_media_bias_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_mtl_media_bias RoBertaForSequenceClassification from mediabiasgroup
+author: John Snow Labs
+name: roberta_mtl_media_bias
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_mtl_media_bias` is a English model originally trained by mediabiasgroup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_mtl_media_bias_en_5.2.0_3.0_1701262488045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_mtl_media_bias_en_5.2.0_3.0_1701262488045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_mtl_media_bias|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.8 MB|
+
+## References
+
+https://huggingface.co/mediabiasgroup/roberta_mtl_media_bias
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_rcade_fine_tuned_sentiment_covid_news_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_rcade_fine_tuned_sentiment_covid_news_en.md
new file mode 100644
index 000000000000..81a8bcc368ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_rcade_fine_tuned_sentiment_covid_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_rcade_fine_tuned_sentiment_covid_news RoBertaForSequenceClassification from RogerKam
+author: John Snow Labs
+name: roberta_rcade_fine_tuned_sentiment_covid_news
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_rcade_fine_tuned_sentiment_covid_news` is a English model originally trained by RogerKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_rcade_fine_tuned_sentiment_covid_news_en_5.2.0_3.0_1701270826661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_rcade_fine_tuned_sentiment_covid_news_en_5.2.0_3.0_1701270826661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_rcade_fine_tuned_sentiment_covid_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.3 MB|
+
+## References
+
+https://huggingface.co/RogerKam/roberta_RCADE_fine_tuned_sentiment_covid_news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_sentiment_classifier_kodwo11_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_sentiment_classifier_kodwo11_en.md
new file mode 100644
index 000000000000..149b359b30db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_sentiment_classifier_kodwo11_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_sentiment_classifier_kodwo11 RoBertaForSequenceClassification from Kodwo11
+author: John Snow Labs
+name: roberta_sentiment_classifier_kodwo11
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_sentiment_classifier_kodwo11` is a English model originally trained by Kodwo11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_sentiment_classifier_kodwo11_en_5.2.0_3.0_1701268462246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_sentiment_classifier_kodwo11_en_5.2.0_3.0_1701268462246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_sfda_sharpseed|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|423.2 MB|
+
+## References
+
+https://huggingface.co/tmills/roberta_sfda_sharpseed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_spam_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_spam_en.md
new file mode 100644
index 000000000000..37a4b2fb3c0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_spam_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_spam RoBertaForSequenceClassification from mshenoda
+author: John Snow Labs
+name: roberta_spam
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_spam` is a English model originally trained by mshenoda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_spam_en_5.2.0_3.0_1701268567560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_spam_en_5.2.0_3.0_1701268567560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_philippine_elections_2016_2022_hate_speech|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|tl|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/mapsoriano/roberta-tagalog-base-philippine-elections-2016-2022-hate-speech
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_tagalog_profanity_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_tagalog_profanity_classifier_en.md
new file mode 100644
index 000000000000..be039c4c7719
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_tagalog_profanity_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_tagalog_profanity_classifier RoBertaForSequenceClassification from mginoben
+author: John Snow Labs
+name: roberta_tagalog_profanity_classifier
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_profanity_classifier` is a English model originally trained by mginoben.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_profanity_classifier_en_5.2.0_3.0_1701293521289.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_profanity_classifier_en_5.2.0_3.0_1701293521289.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_profanity_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/mginoben/roberta-tagalog-profanity-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_targeted_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_targeted_sentiment_analysis_en.md
new file mode 100644
index 000000000000..0ad623522336
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_targeted_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_targeted_sentiment_analysis RoBertaForSequenceClassification from pysentimiento
+author: John Snow Labs
+name: roberta_targeted_sentiment_analysis
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_targeted_sentiment_analysis` is a English model originally trained by pysentimiento.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_targeted_sentiment_analysis_en_5.2.0_3.0_1701292366662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_targeted_sentiment_analysis_en_5.2.0_3.0_1701292366662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_targeted_sentiment_analysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|429.5 MB|
+
+## References
+
+https://huggingface.co/pysentimiento/roberta-targeted-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_toxicity_classifier_s_nlp_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_toxicity_classifier_s_nlp_en.md
new file mode 100644
index 000000000000..5947ddc25940
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_toxicity_classifier_s_nlp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_toxicity_classifier_s_nlp RoBertaForSequenceClassification from s-nlp
+author: John Snow Labs
+name: roberta_toxicity_classifier_s_nlp
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_toxicity_classifier_s_nlp` is a English model originally trained by s-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_toxicity_classifier_s_nlp_en_5.2.0_3.0_1701261766099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_toxicity_classifier_s_nlp_en_5.2.0_3.0_1701261766099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_toxicity_classifier_s_nlp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/s-nlp/roberta_toxicity_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-roberta_toxicity_classifier_v1_en.md b/docs/_posts/ahmedlone127/2023-11-29-roberta_toxicity_classifier_v1_en.md
new file mode 100644
index 000000000000..cb0a590b4ffb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-roberta_toxicity_classifier_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_toxicity_classifier_v1 RoBertaForSequenceClassification from s-nlp
+author: John Snow Labs
+name: roberta_toxicity_classifier_v1
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_toxicity_classifier_v1` is a English model originally trained by s-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_toxicity_classifier_v1_en_5.2.0_3.0_1701241554099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_toxicity_classifier_v1_en_5.2.0_3.0_1701241554099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_toxicity_classifier_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/s-nlp/roberta_toxicity_classifier_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-sbic_roberta_demographic_text_disagreement_predictor_en.md b/docs/_posts/ahmedlone127/2023-11-29-sbic_roberta_demographic_text_disagreement_predictor_en.md
new file mode 100644
index 000000000000..cbc64e348f01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-sbic_roberta_demographic_text_disagreement_predictor_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sbic_roberta_demographic_text_disagreement_predictor RoBertaForSequenceClassification from RuyuanWan
+author: John Snow Labs
+name: sbic_roberta_demographic_text_disagreement_predictor
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sbic_roberta_demographic_text_disagreement_predictor` is a English model originally trained by RuyuanWan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sbic_roberta_demographic_text_disagreement_predictor_en_5.2.0_3.0_1701296266475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sbic_roberta_demographic_text_disagreement_predictor_en_5.2.0_3.0_1701296266475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sbic_roberta_demographic_text_disagreement_predictor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.7 MB|
+
+## References
+
+https://huggingface.co/RuyuanWan/SBIC_RoBERTa_Demographic-text_Disagreement_Predictor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-sentiment_analysis_knkarthick_en.md b/docs/_posts/ahmedlone127/2023-11-29-sentiment_analysis_knkarthick_en.md
new file mode 100644
index 000000000000..98f721c7e384
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-sentiment_analysis_knkarthick_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_knkarthick RoBertaForSequenceClassification from knkarthick
+author: John Snow Labs
+name: sentiment_analysis_knkarthick
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_knkarthick` is a English model originally trained by knkarthick.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_knkarthick_en_5.2.0_3.0_1701237727567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_knkarthick_en_5.2.0_3.0_1701237727567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_knkarthick|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/knkarthick/Sentiment-Analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-sentiment_analysis_test_trainer_en.md b/docs/_posts/ahmedlone127/2023-11-29-sentiment_analysis_test_trainer_en.md
new file mode 100644
index 000000000000..d504ce744b48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-sentiment_analysis_test_trainer_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_test_trainer RoBertaForSequenceClassification from KAITANY
+author: John Snow Labs
+name: sentiment_analysis_test_trainer
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_test_trainer` is a English model originally trained by KAITANY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_test_trainer_en_5.2.0_3.0_1701289275189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_test_trainer_en_5.2.0_3.0_1701289275189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|slovakbert_sentiment_twitter|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|sk|
+|Size:|458.8 MB|
+
+## References
+
+https://huggingface.co/kinit/slovakbert-sentiment-twitter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-socialbert_social_en.md b/docs/_posts/ahmedlone127/2023-11-29-socialbert_social_en.md
new file mode 100644
index 000000000000..f80bd0bc8a5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-socialbert_social_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English socialbert_social RoBertaForSequenceClassification from ESGBERT
+author: John Snow Labs
+name: socialbert_social
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`socialbert_social` is a English model originally trained by ESGBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/socialbert_social_en_5.2.0_3.0_1701289442453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/socialbert_social_en_5.2.0_3.0_1701289442453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|socialbert_social|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/ESGBERT/SocialBERT-social
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-stanceberta_en.md b/docs/_posts/ahmedlone127/2023-11-29-stanceberta_en.md
new file mode 100644
index 000000000000..bd84609a5f10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-stanceberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English stanceberta RoBertaForSequenceClassification from eevvgg
+author: John Snow Labs
+name: stanceberta
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stanceberta` is a English model originally trained by eevvgg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stanceberta_en_5.2.0_3.0_1701299437749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stanceberta_en_5.2.0_3.0_1701299437749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stanceberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/eevvgg/StanceBERTa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-stsb_distilroberta_base_en.md b/docs/_posts/ahmedlone127/2023-11-29-stsb_distilroberta_base_en.md
new file mode 100644
index 000000000000..61738141e546
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-stsb_distilroberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English stsb_distilroberta_base RoBertaForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: stsb_distilroberta_base
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stsb_distilroberta_base` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_distilroberta_base_en_5.2.0_3.0_1701237067636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_distilroberta_base_en_5.2.0_3.0_1701237067636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stsb_distilroberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/stsb-distilroberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-stsb_roberta_base_en.md b/docs/_posts/ahmedlone127/2023-11-29-stsb_roberta_base_en.md
new file mode 100644
index 000000000000..18dd3b93e1d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-stsb_roberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English stsb_roberta_base RoBertaForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: stsb_roberta_base
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stsb_roberta_base` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_roberta_base_en_5.2.0_3.0_1701236863202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_roberta_base_en_5.2.0_3.0_1701236863202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stsb_roberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/cross-encoder/stsb-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-stsb_roberta_large_en.md b/docs/_posts/ahmedlone127/2023-11-29-stsb_roberta_large_en.md
new file mode 100644
index 000000000000..9aa4b0e2c602
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-stsb_roberta_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English stsb_roberta_large RoBertaForSequenceClassification from cross-encoder
+author: John Snow Labs
+name: stsb_roberta_large
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stsb_roberta_large` is a English model originally trained by cross-encoder.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stsb_roberta_large_en_5.2.0_3.0_1701255633503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stsb_roberta_large_en_5.2.0_3.0_1701255633503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stsb_roberta_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/cross-encoder/stsb-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-textdetection_en.md b/docs/_posts/ahmedlone127/2023-11-29-textdetection_en.md
new file mode 100644
index 000000000000..05b7b25618c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-textdetection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English textdetection RoBertaForSequenceClassification from rimuruu1
+author: John Snow Labs
+name: textdetection
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`textdetection` is a English model originally trained by rimuruu1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/textdetection_en_5.2.0_3.0_1701296266749.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/textdetection_en_5.2.0_3.0_1701296266749.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|textdetection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.9 MB|
+
+## References
+
+https://huggingface.co/rimuruu1/TextDetection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-topic_detector_en.md b/docs/_posts/ahmedlone127/2023-11-29-topic_detector_en.md
new file mode 100644
index 000000000000..cc9033b2dfa6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-topic_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_detector RoBertaForSequenceClassification from ishaansharma
+author: John Snow Labs
+name: topic_detector
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_detector` is a English model originally trained by ishaansharma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_detector_en_5.2.0_3.0_1701294808347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_detector_en_5.2.0_3.0_1701294808347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/ishaansharma/topic-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-toxicitymodel_en.md b/docs/_posts/ahmedlone127/2023-11-29-toxicitymodel_en.md
new file mode 100644
index 000000000000..4f8cd6da06ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-toxicitymodel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English toxicitymodel RoBertaForSequenceClassification from nicholasKluge
+author: John Snow Labs
+name: toxicitymodel
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxicitymodel` is a English model originally trained by nicholasKluge.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxicitymodel_en_5.2.0_3.0_1701258134952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxicitymodel_en_5.2.0_3.0_1701258134952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxicitymodel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|456.9 MB|
+
+## References
+
+https://huggingface.co/nicholasKluge/ToxicityModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-toxigen_roberta_en.md b/docs/_posts/ahmedlone127/2023-11-29-toxigen_roberta_en.md
new file mode 100644
index 000000000000..ec164fbfafa7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-toxigen_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English toxigen_roberta RoBertaForSequenceClassification from tomh
+author: John Snow Labs
+name: toxigen_roberta
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxigen_roberta` is a English model originally trained by tomh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxigen_roberta_en_5.2.0_3.0_1701236572169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxigen_roberta_en_5.2.0_3.0_1701236572169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxigen_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tomh/toxigen_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-tweet_topic_latest_multi_en.md b/docs/_posts/ahmedlone127/2023-11-29-tweet_topic_latest_multi_en.md
new file mode 100644
index 000000000000..04725a969e8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-tweet_topic_latest_multi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tweet_topic_latest_multi RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: tweet_topic_latest_multi
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_topic_latest_multi` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_topic_latest_multi_en_5.2.0_3.0_1701297777987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_topic_latest_multi_en_5.2.0_3.0_1701297777987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweet_topic_latest_multi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/tweet-topic-latest-multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_dec2021_offensive_en.md b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_dec2021_offensive_en.md
new file mode 100644
index 000000000000..e93184fd1e44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_dec2021_offensive_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_offensive RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_offensive
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2021_offensive` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_offensive_en_5.2.0_3.0_1701297778032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_offensive_en_5.2.0_3.0_1701297778032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2021_offensive|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021-offensive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_dec2021_tweet_topic_multi_all_en.md b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_dec2021_tweet_topic_multi_all_en.md
new file mode 100644
index 000000000000..67a83d170502
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_dec2021_tweet_topic_multi_all_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_tweet_topic_multi_all RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_tweet_topic_multi_all
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2021_tweet_topic_multi_all` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_tweet_topic_multi_all_en_5.2.0_3.0_1701236227751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_tweet_topic_multi_all_en_5.2.0_3.0_1701236227751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2021_tweet_topic_multi_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021-tweet-topic-multi-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_emotion_multilabel_latest_en.md b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_emotion_multilabel_latest_en.md
new file mode 100644
index 000000000000..6db945534b9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_emotion_multilabel_latest_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_emotion_multilabel_latest RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_emotion_multilabel_latest
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_emotion_multilabel_latest` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_emotion_multilabel_latest_en_5.2.0_3.0_1701254805537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_emotion_multilabel_latest_en_5.2.0_3.0_1701254805537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_emotion_multilabel_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-emotion-multilabel-latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_hate_en.md b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_hate_en.md
new file mode 100644
index 000000000000..78cc6a761b6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_hate_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_hate RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_hate
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_hate` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_hate_en_5.2.0_3.0_1701256394099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_hate_en_5.2.0_3.0_1701256394099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_hate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-hate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_hate_latest_en.md b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_hate_latest_en.md
new file mode 100644
index 000000000000..0ef0839eb2c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_hate_latest_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_hate_latest RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_hate_latest
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_hate_latest` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_hate_latest_en_5.2.0_3.0_1701257793507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_hate_latest_en_5.2.0_3.0_1701257793507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_hate_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-hate-latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_hate_multiclass_latest_en.md b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_hate_multiclass_latest_en.md
new file mode 100644
index 000000000000..84d4b4aaedd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_hate_multiclass_latest_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_hate_multiclass_latest RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_hate_multiclass_latest
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_hate_multiclass_latest` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_hate_multiclass_latest_en_5.2.0_3.0_1701276313611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_hate_multiclass_latest_en_5.2.0_3.0_1701276313611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_hate_multiclass_latest|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-hate-multiclass-latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_irony_en.md b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_irony_en.md
new file mode 100644
index 000000000000..47becc263596
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_irony_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_irony RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_irony
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_irony` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_irony_en_5.2.0_3.0_1701250135640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_irony_en_5.2.0_3.0_1701250135640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_irony|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-irony
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_offensive_en.md b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_offensive_en.md
new file mode 100644
index 000000000000..0a76a2bd2cad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_offensive_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_offensive RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_offensive
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_offensive` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_offensive_en_5.2.0_3.0_1701235882118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_offensive_en_5.2.0_3.0_1701235882118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_offensive|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-offensive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_sentiment_cardiffnlp_en.md b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_sentiment_cardiffnlp_en.md
new file mode 100644
index 000000000000..ef8e85365eac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_sentiment_cardiffnlp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_sentiment_cardiffnlp RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_sentiment_cardiffnlp
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_sentiment_cardiffnlp` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_cardiffnlp_en_5.2.0_3.0_1701235663793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_cardiffnlp_en_5.2.0_3.0_1701235663793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_sentiment_cardiffnlp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_sentiment_latest_mbabazi_en.md b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_sentiment_latest_mbabazi_en.md
new file mode 100644
index 000000000000..60ee54aaa08f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_sentiment_latest_mbabazi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_sentiment_latest_mbabazi RoBertaForSequenceClassification from Mbabazi
+author: John Snow Labs
+name: twitter_roberta_base_sentiment_latest_mbabazi
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_sentiment_latest_mbabazi` is a English model originally trained by Mbabazi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_latest_mbabazi_en_5.2.0_3.0_1701284341423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_latest_mbabazi_en_5.2.0_3.0_1701284341423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_sentiment_latest_mbabazi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Mbabazi/twitter-roberta-base-sentiment-latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_stance_abortion_en.md b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_stance_abortion_en.md
new file mode 100644
index 000000000000..d8c7f4db5989
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-29-twitter_roberta_base_stance_abortion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_stance_abortion RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_stance_abortion
+date: 2023-11-29
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_stance_abortion` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_stance_abortion_en_5.2.0_3.0_1701295200620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_stance_abortion_en_5.2.0_3.0_1701295200620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|urduclassification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ur|
+|Size:|473.2 MB|
+
+## References
+
+https://huggingface.co/mwz/UrduClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-all_distilroberta_v1_20231125_en.md b/docs/_posts/ahmedlone127/2023-11-30-all_distilroberta_v1_20231125_en.md
new file mode 100644
index 000000000000..c50421dc4822
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-all_distilroberta_v1_20231125_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_distilroberta_v1_20231125 RoBertaForSequenceClassification from Kevinger
+author: John Snow Labs
+name: all_distilroberta_v1_20231125
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_distilroberta_v1_20231125` is a English model originally trained by Kevinger.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_distilroberta_v1_20231125_en_5.2.0_3.0_1701353749281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_distilroberta_v1_20231125_en_5.2.0_3.0_1701353749281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_distilroberta_v1_20231125|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.7 MB|
+
+## References
+
+https://huggingface.co/Kevinger/all-distilroberta-v1-20231125
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-ambiguity_distilroberta_base_en.md b/docs/_posts/ahmedlone127/2023-11-30-ambiguity_distilroberta_base_en.md
new file mode 100644
index 000000000000..84b7c6d16c48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-ambiguity_distilroberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ambiguity_distilroberta_base RoBertaForSequenceClassification from j-hartmann
+author: John Snow Labs
+name: ambiguity_distilroberta_base
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ambiguity_distilroberta_base` is a English model originally trained by j-hartmann.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ambiguity_distilroberta_base_en_5.2.0_3.0_1701349387012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ambiguity_distilroberta_base_en_5.2.0_3.0_1701349387012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ambiguity_distilroberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/j-hartmann/ambiguity-distilroberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-arousal_english_distilroberta_base_en.md b/docs/_posts/ahmedlone127/2023-11-30-arousal_english_distilroberta_base_en.md
new file mode 100644
index 000000000000..5e149da671a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-arousal_english_distilroberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English arousal_english_distilroberta_base RoBertaForSequenceClassification from samueldomdey
+author: John Snow Labs
+name: arousal_english_distilroberta_base
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arousal_english_distilroberta_base` is a English model originally trained by samueldomdey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arousal_english_distilroberta_base_en_5.2.0_3.0_1701348091631.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arousal_english_distilroberta_base_en_5.2.0_3.0_1701348091631.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arousal_english_distilroberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/samueldomdey/arousal-english-distilroberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-augcode_en.md b/docs/_posts/ahmedlone127/2023-11-30-augcode_en.md
new file mode 100644
index 000000000000..a51438a60c54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-augcode_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English augcode RoBertaForSequenceClassification from Fujitsu
+author: John Snow Labs
+name: augcode
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`augcode` is a English model originally trained by Fujitsu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/augcode_en_5.2.0_3.0_1701372289838.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/augcode_en_5.2.0_3.0_1701372289838.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|augcode|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Fujitsu/AugCode
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-autotrain_slovenian_swear_words_74310139575_en.md b/docs/_posts/ahmedlone127/2023-11-30-autotrain_slovenian_swear_words_74310139575_en.md
new file mode 100644
index 000000000000..eca0ac6fbb7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-autotrain_slovenian_swear_words_74310139575_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autotrain_slovenian_swear_words_74310139575 RoBertaForSequenceClassification from offlinehq
+author: John Snow Labs
+name: autotrain_slovenian_swear_words_74310139575
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_slovenian_swear_words_74310139575` is a English model originally trained by offlinehq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_slovenian_swear_words_74310139575_en_5.2.0_3.0_1701370989672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_slovenian_swear_words_74310139575_en_5.2.0_3.0_1701370989672.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_slovenian_swear_words_74310139575|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|415.2 MB|
+
+## References
+
+https://huggingface.co/offlinehq/autotrain-slovenian-swear-words-74310139575
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-bert_empathy_en.md b/docs/_posts/ahmedlone127/2023-11-30-bert_empathy_en.md
new file mode 100644
index 000000000000..997461286200
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-bert_empathy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bert_empathy RoBertaForSequenceClassification from paragon-analytics
+author: John Snow Labs
+name: bert_empathy
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_empathy` is a English model originally trained by paragon-analytics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_empathy_en_5.2.0_3.0_1701373718614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_empathy_en_5.2.0_3.0_1701373718614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_empathy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|418.8 MB|
+
+## References
+
+https://huggingface.co/paragon-analytics/bert_empathy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-bertagent_best_en.md b/docs/_posts/ahmedlone127/2023-11-30-bertagent_best_en.md
new file mode 100644
index 000000000000..0db70281c66f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-bertagent_best_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bertagent_best RoBertaForSequenceClassification from EnchantedStardust
+author: John Snow Labs
+name: bertagent_best
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertagent_best` is a English model originally trained by EnchantedStardust.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertagent_best_en_5.2.0_3.0_1701349084235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertagent_best_en_5.2.0_3.0_1701349084235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertagent_best|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.3 MB|
+
+## References
+
+https://huggingface.co/EnchantedStardust/bertagent-best
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-bertweet_sexism_en.md b/docs/_posts/ahmedlone127/2023-11-30-bertweet_sexism_en.md
new file mode 100644
index 000000000000..c1e0de4b8cb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-bertweet_sexism_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bertweet_sexism RoBertaForSequenceClassification from tum-nlp
+author: John Snow Labs
+name: bertweet_sexism
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertweet_sexism` is a English model originally trained by tum-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertweet_sexism_en_5.2.0_3.0_1701351570398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertweet_sexism_en_5.2.0_3.0_1701351570398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertweet_sexism|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tum-nlp/bertweet-sexism
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-burmese_awesome_unixcoder_en.md b/docs/_posts/ahmedlone127/2023-11-30-burmese_awesome_unixcoder_en.md
new file mode 100644
index 000000000000..b5fbb23a8bcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-burmese_awesome_unixcoder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_unixcoder RoBertaForSequenceClassification from buelfhood
+author: John Snow Labs
+name: burmese_awesome_unixcoder
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_unixcoder` is a English model originally trained by buelfhood.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_unixcoder_en_5.2.0_3.0_1701353008273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_unixcoder_en_5.2.0_3.0_1701353008273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_unixcoder|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|472.4 MB|
+
+## References
+
+https://huggingface.co/buelfhood/my_awesome_unixcoder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-burmese_model_en.md b/docs/_posts/ahmedlone127/2023-11-30-burmese_model_en.md
new file mode 100644
index 000000000000..ec3b56ccd2aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-burmese_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_model RoBertaForSequenceClassification from dadashzadeh
+author: John Snow Labs
+name: burmese_model
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_model` is a English model originally trained by dadashzadeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_model_en_5.2.0_3.0_1701383982493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_model_en_5.2.0_3.0_1701383982493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|445.1 MB|
+
+## References
+
+https://huggingface.co/dadashzadeh/my_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-c4_binary_english_grammar_checker_en.md b/docs/_posts/ahmedlone127/2023-11-30-c4_binary_english_grammar_checker_en.md
new file mode 100644
index 000000000000..82834de89e76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-c4_binary_english_grammar_checker_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English c4_binary_english_grammar_checker RoBertaForSequenceClassification from nikolasmoya
+author: John Snow Labs
+name: c4_binary_english_grammar_checker
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`c4_binary_english_grammar_checker` is a English model originally trained by nikolasmoya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/c4_binary_english_grammar_checker_en_5.2.0_3.0_1701352230810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/c4_binary_english_grammar_checker_en_5.2.0_3.0_1701352230810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|c4_binary_english_grammar_checker|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/nikolasmoya/c4-binary-english-grammar-checker
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-cardiffnlp_twitter_roberta_base_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-30-cardiffnlp_twitter_roberta_base_emotion_en.md
new file mode 100644
index 000000000000..a1f103d9c275
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-cardiffnlp_twitter_roberta_base_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cardiffnlp_twitter_roberta_base_emotion RoBertaForSequenceClassification from Mahmoud8
+author: John Snow Labs
+name: cardiffnlp_twitter_roberta_base_emotion
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cardiffnlp_twitter_roberta_base_emotion` is a English model originally trained by Mahmoud8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cardiffnlp_twitter_roberta_base_emotion_en_5.2.0_3.0_1701352204778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cardiffnlp_twitter_roberta_base_emotion_en_5.2.0_3.0_1701352204778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cardiffnlp_twitter_roberta_base_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/Mahmoud8/cardiffnlp-twitter-roberta-base-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_feiiisal_en.md b/docs/_posts/ahmedlone127/2023-11-30-cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_feiiisal_en.md
new file mode 100644
index 000000000000..fbcf08dd6607
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_feiiisal_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_feiiisal RoBertaForSequenceClassification from Feiiisal
+author: John Snow Labs
+name: cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_feiiisal
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_feiiisal` is a English model originally trained by Feiiisal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_feiiisal_en_5.2.0_3.0_1701349037666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_feiiisal_en_5.2.0_3.0_1701349037666.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_feiiisal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Feiiisal/cardiffnlp_twitter_roberta_base_sentiment_latest_Nov2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_mbabazi_en.md b/docs/_posts/ahmedlone127/2023-11-30-cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_mbabazi_en.md
new file mode 100644
index 000000000000..473ed3aa8048
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_mbabazi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_mbabazi RoBertaForSequenceClassification from Mbabazi
+author: John Snow Labs
+name: cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_mbabazi
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_mbabazi` is a English model originally trained by Mbabazi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_mbabazi_en_5.2.0_3.0_1701362281073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_mbabazi_en_5.2.0_3.0_1701362281073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cardiffnlp_twitter_roberta_base_sentiment_latest_nov2023_mbabazi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Mbabazi/cardiffnlp_twitter_roberta_base_sentiment_latest_Nov2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-cc_narratives_robertamodel3_en.md b/docs/_posts/ahmedlone127/2023-11-30-cc_narratives_robertamodel3_en.md
new file mode 100644
index 000000000000..36b610dccc11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-cc_narratives_robertamodel3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cc_narratives_robertamodel3 RoBertaForSequenceClassification from nnisbett
+author: John Snow Labs
+name: cc_narratives_robertamodel3
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cc_narratives_robertamodel3` is a English model originally trained by nnisbett.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cc_narratives_robertamodel3_en_5.2.0_3.0_1701354421378.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cc_narratives_robertamodel3_en_5.2.0_3.0_1701354421378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cc_narratives_robertamodel3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.1 MB|
+
+## References
+
+https://huggingface.co/nnisbett/cc_narratives_robertamodel3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-centralbankroberta_agent_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-30-centralbankroberta_agent_classifier_en.md
new file mode 100644
index 000000000000..1e347dcae786
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-centralbankroberta_agent_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English centralbankroberta_agent_classifier RoBertaForSequenceClassification from Moritz-Pfeifer
+author: John Snow Labs
+name: centralbankroberta_agent_classifier
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`centralbankroberta_agent_classifier` is a English model originally trained by Moritz-Pfeifer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/centralbankroberta_agent_classifier_en_5.2.0_3.0_1701366108041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/centralbankroberta_agent_classifier_en_5.2.0_3.0_1701366108041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|centralbankroberta_agent_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|440.4 MB|
+
+## References
+
+https://huggingface.co/Moritz-Pfeifer/CentralBankRoBERTa-agent-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-chatgpt_content_detector_en.md b/docs/_posts/ahmedlone127/2023-11-30-chatgpt_content_detector_en.md
new file mode 100644
index 000000000000..cf854fa78098
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-chatgpt_content_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chatgpt_content_detector RoBertaForSequenceClassification from devloverumar
+author: John Snow Labs
+name: chatgpt_content_detector
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chatgpt_content_detector` is a English model originally trained by devloverumar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chatgpt_content_detector_en_5.2.0_3.0_1701351033499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chatgpt_content_detector_en_5.2.0_3.0_1701351033499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chatgpt_content_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|463.2 MB|
+
+## References
+
+https://huggingface.co/devloverumar/chatgpt-content-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-chemberta_v2_finetuned_uspto_50k_classification_en.md b/docs/_posts/ahmedlone127/2023-11-30-chemberta_v2_finetuned_uspto_50k_classification_en.md
new file mode 100644
index 000000000000..c5f22705c18e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-chemberta_v2_finetuned_uspto_50k_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English chemberta_v2_finetuned_uspto_50k_classification RoBertaForSequenceClassification from Phando
+author: John Snow Labs
+name: chemberta_v2_finetuned_uspto_50k_classification
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chemberta_v2_finetuned_uspto_50k_classification` is a English model originally trained by Phando.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chemberta_v2_finetuned_uspto_50k_classification_en_5.2.0_3.0_1701347031707.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chemberta_v2_finetuned_uspto_50k_classification_en_5.2.0_3.0_1701347031707.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chemberta_v2_finetuned_uspto_50k_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|312.3 MB|
+
+## References
+
+https://huggingface.co/Phando/chemberta-v2-finetuned-uspto-50k-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-climatebert_base_f_fever_evidence_related_en.md b/docs/_posts/ahmedlone127/2023-11-30-climatebert_base_f_fever_evidence_related_en.md
new file mode 100644
index 000000000000..7a7f2749e13e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-climatebert_base_f_fever_evidence_related_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English climatebert_base_f_fever_evidence_related RoBertaForSequenceClassification from mwong
+author: John Snow Labs
+name: climatebert_base_f_fever_evidence_related
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climatebert_base_f_fever_evidence_related` is a English model originally trained by mwong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climatebert_base_f_fever_evidence_related_en_5.2.0_3.0_1701384495614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climatebert_base_f_fever_evidence_related_en_5.2.0_3.0_1701384495614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|climatebert_base_f_fever_evidence_related|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/mwong/climatebert-base-f-fever-evidence-related
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-climatebert_fact_checking_en.md b/docs/_posts/ahmedlone127/2023-11-30-climatebert_fact_checking_en.md
new file mode 100644
index 000000000000..8b71f4d49933
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-climatebert_fact_checking_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English climatebert_fact_checking RoBertaForSequenceClassification from amandakonet
+author: John Snow Labs
+name: climatebert_fact_checking
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climatebert_fact_checking` is a English model originally trained by amandakonet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climatebert_fact_checking_en_5.2.0_3.0_1701347648418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climatebert_fact_checking_en_5.2.0_3.0_1701347648418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|climatebert_fact_checking|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/amandakonet/climatebert-fact-checking
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-cn_roberta_sci_en.md b/docs/_posts/ahmedlone127/2023-11-30-cn_roberta_sci_en.md
new file mode 100644
index 000000000000..fc5eee0ea1b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-cn_roberta_sci_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cn_roberta_sci RoBertaForSequenceClassification from vishruthnath
+author: John Snow Labs
+name: cn_roberta_sci
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cn_roberta_sci` is a English model originally trained by vishruthnath.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cn_roberta_sci_en_5.2.0_3.0_1701352443007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cn_roberta_sci_en_5.2.0_3.0_1701352443007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cn_roberta_sci|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|417.0 MB|
+
+## References
+
+https://huggingface.co/vishruthnath/CN_RoBERTa_Sci
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-codebert_base_mlm_malicious_urls_en.md b/docs/_posts/ahmedlone127/2023-11-30-codebert_base_mlm_malicious_urls_en.md
new file mode 100644
index 000000000000..e85acbbfed2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-codebert_base_mlm_malicious_urls_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English codebert_base_mlm_malicious_urls RoBertaForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: codebert_base_mlm_malicious_urls
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`codebert_base_mlm_malicious_urls` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebert_base_mlm_malicious_urls_en_5.2.0_3.0_1701364075111.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebert_base_mlm_malicious_urls_en_5.2.0_3.0_1701364075111.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codebert_base_mlm_malicious_urls|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/codebert-base-mlm-Malicious_URLs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-codebertforreturntypeclassification_en.md b/docs/_posts/ahmedlone127/2023-11-30-codebertforreturntypeclassification_en.md
new file mode 100644
index 000000000000..61ba8fa9eab0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-codebertforreturntypeclassification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English codebertforreturntypeclassification RoBertaForSequenceClassification from UDE-SE
+author: John Snow Labs
+name: codebertforreturntypeclassification
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`codebertforreturntypeclassification` is a English model originally trained by UDE-SE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebertforreturntypeclassification_en_5.2.0_3.0_1701384477373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebertforreturntypeclassification_en_5.2.0_3.0_1701384477373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codebertforreturntypeclassification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/UDE-SE/CodeBERTForReturnTypeClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-cold_fusion_en.md b/docs/_posts/ahmedlone127/2023-11-30-cold_fusion_en.md
new file mode 100644
index 000000000000..8ec2f16aad2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-cold_fusion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_en_5.2.0_3.0_1701350391068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_en_5.2.0_3.0_1701350391068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-complaints_roberta_en.md b/docs/_posts/ahmedlone127/2023-11-30-complaints_roberta_en.md
new file mode 100644
index 000000000000..4d8773aa5772
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-complaints_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English complaints_roberta RoBertaForSequenceClassification from ThirdEyeData
+author: John Snow Labs
+name: complaints_roberta
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`complaints_roberta` is a English model originally trained by ThirdEyeData.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/complaints_roberta_en_5.2.0_3.0_1701353223745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/complaints_roberta_en_5.2.0_3.0_1701353223745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|complaints_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|441.6 MB|
+
+## References
+
+https://huggingface.co/ThirdEyeData/Complaints_Roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-concreteness_english_distilroberta_base_en.md b/docs/_posts/ahmedlone127/2023-11-30-concreteness_english_distilroberta_base_en.md
new file mode 100644
index 000000000000..23084a03cffa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-concreteness_english_distilroberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English concreteness_english_distilroberta_base RoBertaForSequenceClassification from samueldomdey
+author: John Snow Labs
+name: concreteness_english_distilroberta_base
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`concreteness_english_distilroberta_base` is a English model originally trained by samueldomdey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/concreteness_english_distilroberta_base_en_5.2.0_3.0_1701348509940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/concreteness_english_distilroberta_base_en_5.2.0_3.0_1701348509940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|controversy_prediction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|463.3 MB|
+
+## References
+
+https://huggingface.co/PlanTL-GOB-ES/Controversy-Prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-covid_tweet_sentiment_analyzer_roberta_latest_snyamson_en.md b/docs/_posts/ahmedlone127/2023-11-30-covid_tweet_sentiment_analyzer_roberta_latest_snyamson_en.md
new file mode 100644
index 000000000000..a5b75a5d9b20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-covid_tweet_sentiment_analyzer_roberta_latest_snyamson_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_tweet_sentiment_analyzer_roberta_latest_snyamson RoBertaForSequenceClassification from snyamson
+author: John Snow Labs
+name: covid_tweet_sentiment_analyzer_roberta_latest_snyamson
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_tweet_sentiment_analyzer_roberta_latest_snyamson` is a English model originally trained by snyamson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_tweet_sentiment_analyzer_roberta_latest_snyamson_en_5.2.0_3.0_1701359828592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_tweet_sentiment_analyzer_roberta_latest_snyamson_en_5.2.0_3.0_1701359828592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_tweet_sentiment_analyzer_roberta_latest_snyamson|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/snyamson/covid-tweet-sentiment-analyzer-roberta-latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-covid_tweet_sentimental_analysis_roberta_en.md b/docs/_posts/ahmedlone127/2023-11-30-covid_tweet_sentimental_analysis_roberta_en.md
new file mode 100644
index 000000000000..a410cf9ab6aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-covid_tweet_sentimental_analysis_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_tweet_sentimental_analysis_roberta RoBertaForSequenceClassification from gyesibiney
+author: John Snow Labs
+name: covid_tweet_sentimental_analysis_roberta
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_tweet_sentimental_analysis_roberta` is a English model originally trained by gyesibiney.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_tweet_sentimental_analysis_roberta_en_5.2.0_3.0_1701384476307.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_tweet_sentimental_analysis_roberta_en_5.2.0_3.0_1701384476307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_tweet_sentimental_analysis_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/gyesibiney/covid-tweet-sentimental-Analysis-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-covid_vaccine_tweet_sentiment_analysis_roberta_azie88_en.md b/docs/_posts/ahmedlone127/2023-11-30-covid_vaccine_tweet_sentiment_analysis_roberta_azie88_en.md
new file mode 100644
index 000000000000..5d062df9b4be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-covid_vaccine_tweet_sentiment_analysis_roberta_azie88_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_vaccine_tweet_sentiment_analysis_roberta_azie88 RoBertaForSequenceClassification from Azie88
+author: John Snow Labs
+name: covid_vaccine_tweet_sentiment_analysis_roberta_azie88
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_vaccine_tweet_sentiment_analysis_roberta_azie88` is a English model originally trained by Azie88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_vaccine_tweet_sentiment_analysis_roberta_azie88_en_5.2.0_3.0_1701349613283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_vaccine_tweet_sentiment_analysis_roberta_azie88_en_5.2.0_3.0_1701349613283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_vaccine_tweet_sentiment_analysis_roberta_azie88|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Azie88/COVID_Vaccine_Tweet_sentiment_analysis_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-cross_encoder_binary_classification_large_en.md b/docs/_posts/ahmedlone127/2023-11-30-cross_encoder_binary_classification_large_en.md
new file mode 100644
index 000000000000..384209adb954
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-cross_encoder_binary_classification_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cross_encoder_binary_classification_large RoBertaForSequenceClassification from ajax-law
+author: John Snow Labs
+name: cross_encoder_binary_classification_large
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_binary_classification_large` is a English model originally trained by ajax-law.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_binary_classification_large_en_5.2.0_3.0_1701347172937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_binary_classification_large_en_5.2.0_3.0_1701347172937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_binary_classification_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ajax-law/cross-encoder-binary-classification-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-deepscc_roberta_en.md b/docs/_posts/ahmedlone127/2023-11-30-deepscc_roberta_en.md
new file mode 100644
index 000000000000..0fb513a3b790
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-deepscc_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English deepscc_roberta RoBertaForSequenceClassification from NTUYG
+author: John Snow Labs
+name: deepscc_roberta
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deepscc_roberta` is a English model originally trained by NTUYG.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deepscc_roberta_en_5.2.0_3.0_1701349590309.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deepscc_roberta_en_5.2.0_3.0_1701349590309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deepscc_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|458.9 MB|
+
+## References
+
+https://huggingface.co/NTUYG/DeepSCC-RoBERTa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-disaster_tweet_classification_en.md b/docs/_posts/ahmedlone127/2023-11-30-disaster_tweet_classification_en.md
new file mode 100644
index 000000000000..bd6af567c9ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-disaster_tweet_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English disaster_tweet_classification RoBertaForSequenceClassification from aellxx
+author: John Snow Labs
+name: disaster_tweet_classification
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`disaster_tweet_classification` is a English model originally trained by aellxx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/disaster_tweet_classification_en_5.2.0_3.0_1701350810266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/disaster_tweet_classification_en_5.2.0_3.0_1701350810266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|disaster_tweet_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/aellxx/disaster-tweet-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-distilroberta_base_mahmoud8_en.md b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_base_mahmoud8_en.md
new file mode 100644
index 000000000000..07dbef257187
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_base_mahmoud8_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_mahmoud8 RoBertaForSequenceClassification from Mahmoud8
+author: John Snow Labs
+name: distilroberta_base_mahmoud8
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mahmoud8` is a English model originally trained by Mahmoud8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mahmoud8_en_5.2.0_3.0_1701350926477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mahmoud8_en_5.2.0_3.0_1701350926477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_mahmoud8|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/Mahmoud8/distilroberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-distilroberta_base_profile_rerank_en.md b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_base_profile_rerank_en.md
new file mode 100644
index 000000000000..09d9bf61ee49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_base_profile_rerank_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_profile_rerank RoBertaForSequenceClassification from dijon-ai
+author: John Snow Labs
+name: distilroberta_base_profile_rerank
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_profile_rerank` is a English model originally trained by dijon-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_profile_rerank_en_5.2.0_3.0_1701385214546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_profile_rerank_en_5.2.0_3.0_1701385214546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_profile_rerank|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/dijon-ai/distilroberta-base-profile-rerank
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-distilroberta_financial_news_tweets_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_financial_news_tweets_sentiment_analysis_en.md
new file mode 100644
index 000000000000..b83756f06bf6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_financial_news_tweets_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_financial_news_tweets_sentiment_analysis RoBertaForSequenceClassification from mrfakename
+author: John Snow Labs
+name: distilroberta_financial_news_tweets_sentiment_analysis
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_financial_news_tweets_sentiment_analysis` is a English model originally trained by mrfakename.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_financial_news_tweets_sentiment_analysis_en_5.2.0_3.0_1701387931515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_financial_news_tweets_sentiment_analysis_en_5.2.0_3.0_1701387931515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_financial_news_tweets_sentiment_analysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.7 MB|
+
+## References
+
+https://huggingface.co/mrfakename/distilroberta-financial-news-tweets-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-distilroberta_pr200k_ep20_ag_news_en.md b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_pr200k_ep20_ag_news_en.md
new file mode 100644
index 000000000000..ba3d36c12a48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_pr200k_ep20_ag_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_pr200k_ep20_ag_news RoBertaForSequenceClassification from judy93536
+author: John Snow Labs
+name: distilroberta_pr200k_ep20_ag_news
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_pr200k_ep20_ag_news` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_pr200k_ep20_ag_news_en_5.2.0_3.0_1701372379099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_pr200k_ep20_ag_news_en_5.2.0_3.0_1701372379099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_pr200k_ep20_ag_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.9 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-pr200k-ep20-ag_news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-distilroberta_pr200k_phrase_5k_en.md b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_pr200k_phrase_5k_en.md
new file mode 100644
index 000000000000..813babf1dd7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_pr200k_phrase_5k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_pr200k_phrase_5k RoBertaForSequenceClassification from judy93536
+author: John Snow Labs
+name: distilroberta_pr200k_phrase_5k
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_pr200k_phrase_5k` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_pr200k_phrase_5k_en_5.2.0_3.0_1701352389031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_pr200k_phrase_5k_en_5.2.0_3.0_1701352389031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_pr200k_phrase_5k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.7 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-pr200k-phrase-5k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-distilroberta_topic_classification_en.md b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_topic_classification_en.md
new file mode 100644
index 000000000000..7c56fa915f27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-distilroberta_topic_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_topic_classification RoBertaForSequenceClassification from abdulmatinomotoso
+author: John Snow Labs
+name: distilroberta_topic_classification
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_topic_classification` is a English model originally trained by abdulmatinomotoso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_topic_classification_en_5.2.0_3.0_1701359484899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_topic_classification_en_5.2.0_3.0_1701359484899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_topic_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.4 MB|
+
+## References
+
+https://huggingface.co/abdulmatinomotoso/distilroberta-topic-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-documentclassification_en.md b/docs/_posts/ahmedlone127/2023-11-30-documentclassification_en.md
new file mode 100644
index 000000000000..c40f00cdb5be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-documentclassification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English documentclassification RoBertaForSequenceClassification from cuadron11
+author: John Snow Labs
+name: documentclassification
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`documentclassification` is a English model originally trained by cuadron11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/documentclassification_en_5.2.0_3.0_1701352803463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/documentclassification_en_5.2.0_3.0_1701352803463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|documentclassification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|431.4 MB|
+
+## References
+
+https://huggingface.co/cuadron11/documentClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-domain_adapted_negation_en.md b/docs/_posts/ahmedlone127/2023-11-30-domain_adapted_negation_en.md
new file mode 100644
index 000000000000..c6900a90e32d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-domain_adapted_negation_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English domain_adapted_negation RoBertaForSequenceClassification from iAmmarTahir
+author: John Snow Labs
+name: domain_adapted_negation
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`domain_adapted_negation` is a English model originally trained by iAmmarTahir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/domain_adapted_negation_en_5.2.0_3.0_1701385144671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/domain_adapted_negation_en_5.2.0_3.0_1701385144671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|domain_adapted_negation|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.1 MB|
+
+## References
+
+https://huggingface.co/iAmmarTahir/domain-adapted-negation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-drivefeelings_roberta_sentiment_analyzer_for_twitter_en.md b/docs/_posts/ahmedlone127/2023-11-30-drivefeelings_roberta_sentiment_analyzer_for_twitter_en.md
new file mode 100644
index 000000000000..e0bfd7c0da3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-drivefeelings_roberta_sentiment_analyzer_for_twitter_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English drivefeelings_roberta_sentiment_analyzer_for_twitter RoBertaForSequenceClassification from bibbia
+author: John Snow Labs
+name: drivefeelings_roberta_sentiment_analyzer_for_twitter
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`drivefeelings_roberta_sentiment_analyzer_for_twitter` is a English model originally trained by bibbia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/drivefeelings_roberta_sentiment_analyzer_for_twitter_en_5.2.0_3.0_1701348307443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/drivefeelings_roberta_sentiment_analyzer_for_twitter_en_5.2.0_3.0_1701348307443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|drivefeelings_roberta_sentiment_analyzer_for_twitter|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/bibbia/DriveFeelings-Roberta-sentiment-analyzer-for-twitter
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-emotion_english_distilroberta_base_harshv9_en.md b/docs/_posts/ahmedlone127/2023-11-30-emotion_english_distilroberta_base_harshv9_en.md
new file mode 100644
index 000000000000..ddcd87817aa6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-emotion_english_distilroberta_base_harshv9_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotion_english_distilroberta_base_harshv9 RoBertaForSequenceClassification from HarshV9
+author: John Snow Labs
+name: emotion_english_distilroberta_base_harshv9
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_english_distilroberta_base_harshv9` is a English model originally trained by HarshV9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_english_distilroberta_base_harshv9_en_5.2.0_3.0_1701346437660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_english_distilroberta_base_harshv9_en_5.2.0_3.0_1701346437660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_english_distilroberta_base_harshv9|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/HarshV9/emotion-english-distilroberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-emotion_english_en.md b/docs/_posts/ahmedlone127/2023-11-30-emotion_english_en.md
new file mode 100644
index 000000000000..843e28d30bf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-emotion_english_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotion_english RoBertaForSequenceClassification from jitesh
+author: John Snow Labs
+name: emotion_english
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_english` is a English model originally trained by jitesh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_english_en_5.2.0_3.0_1701346542157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_english_en_5.2.0_3.0_1701346542157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/jitesh/emotion-english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-environmentalbert_action_en.md b/docs/_posts/ahmedlone127/2023-11-30-environmentalbert_action_en.md
new file mode 100644
index 000000000000..ad495ce9f400
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-environmentalbert_action_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English environmentalbert_action RoBertaForSequenceClassification from ESGBERT
+author: John Snow Labs
+name: environmentalbert_action
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`environmentalbert_action` is a English model originally trained by ESGBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/environmentalbert_action_en_5.2.0_3.0_1701347578698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/environmentalbert_action_en_5.2.0_3.0_1701347578698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|environmentalbert_action|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.9 MB|
+
+## References
+
+https://huggingface.co/ESGBERT/EnvironmentalBERT-action
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-financial_merchant_category_classification_en.md b/docs/_posts/ahmedlone127/2023-11-30-financial_merchant_category_classification_en.md
new file mode 100644
index 000000000000..eaca77a359d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-financial_merchant_category_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English financial_merchant_category_classification RoBertaForSequenceClassification from Budget
+author: John Snow Labs
+name: financial_merchant_category_classification
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`financial_merchant_category_classification` is a English model originally trained by Budget.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financial_merchant_category_classification_en_5.2.0_3.0_1701385155123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financial_merchant_category_classification_en_5.2.0_3.0_1701385155123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|financial_merchant_category_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|421.4 MB|
+
+## References
+
+https://huggingface.co/Budget/financial_merchant_category_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-finetuned_roberta_base_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-30-finetuned_roberta_base_sentiment_en.md
new file mode 100644
index 000000000000..78aa475ef143
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-finetuned_roberta_base_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_roberta_base_sentiment RoBertaForSequenceClassification from KAITANY
+author: John Snow Labs
+name: finetuned_roberta_base_sentiment
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_roberta_base_sentiment` is a English model originally trained by KAITANY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_sentiment_en_5.2.0_3.0_1701350579551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_sentiment_en_5.2.0_3.0_1701350579551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_roberta_base_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/KAITANY/finetuned-roberta-base-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-finetuned_roberta_depression_en.md b/docs/_posts/ahmedlone127/2023-11-30-finetuned_roberta_depression_en.md
new file mode 100644
index 000000000000..a19071beaaad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-finetuned_roberta_depression_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_roberta_depression RoBertaForSequenceClassification from ShreyaR
+author: John Snow Labs
+name: finetuned_roberta_depression
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_roberta_depression` is a English model originally trained by ShreyaR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_roberta_depression_en_5.2.0_3.0_1701354416956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_roberta_depression_en_5.2.0_3.0_1701354416956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_roberta_depression|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|433.0 MB|
+
+## References
+
+https://huggingface.co/ShreyaR/finetuned-roberta-depression
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-finetuned_sentiment_classfication_roberta_model_abubakari_en.md b/docs/_posts/ahmedlone127/2023-11-30-finetuned_sentiment_classfication_roberta_model_abubakari_en.md
new file mode 100644
index 000000000000..5e2d9e7bf8c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-finetuned_sentiment_classfication_roberta_model_abubakari_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_sentiment_classfication_roberta_model_abubakari RoBertaForSequenceClassification from Abubakari
+author: John Snow Labs
+name: finetuned_sentiment_classfication_roberta_model_abubakari
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_classfication_roberta_model_abubakari` is a English model originally trained by Abubakari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_roberta_model_abubakari_en_5.2.0_3.0_1701370051863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_roberta_model_abubakari_en_5.2.0_3.0_1701370051863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentiment_classfication_roberta_model_abubakari|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.6 MB|
+
+## References
+
+https://huggingface.co/Abubakari/finetuned-Sentiment-classfication-ROBERTA-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_base_on_amazon_polarity_7000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_base_on_amazon_polarity_7000_samples_en.md
new file mode 100644
index 000000000000..b46fb0c8db5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_base_on_amazon_polarity_7000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_roberta_base_on_amazon_polarity_7000_samples RoBertaForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_roberta_base_on_amazon_polarity_7000_samples
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_roberta_base_on_amazon_polarity_7000_samples` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_on_amazon_polarity_7000_samples_en_5.2.0_3.0_1701366107584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_on_amazon_polarity_7000_samples_en_5.2.0_3.0_1701366107584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_roberta_base_on_amazon_polarity_7000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|455.4 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/finetuning-roberta-base-on-amazon_polarity_7000_samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_base_on_imdb_7000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_base_on_imdb_7000_samples_en.md
new file mode 100644
index 000000000000..124a6d43dd3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_base_on_imdb_7000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_roberta_base_on_imdb_7000_samples RoBertaForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_roberta_base_on_imdb_7000_samples
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_roberta_base_on_imdb_7000_samples` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_on_imdb_7000_samples_en_5.2.0_3.0_1701356278064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_on_imdb_7000_samples_en_5.2.0_3.0_1701356278064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_roberta_base_on_imdb_7000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|460.6 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/finetuning-roberta-base-on-imdb_7000_samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_base_on_yelp_polarity_7000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_base_on_yelp_polarity_7000_samples_en.md
new file mode 100644
index 000000000000..a095510765c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_base_on_yelp_polarity_7000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_roberta_base_on_yelp_polarity_7000_samples RoBertaForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_roberta_base_on_yelp_polarity_7000_samples
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_roberta_base_on_yelp_polarity_7000_samples` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_on_yelp_polarity_7000_samples_en_5.2.0_3.0_1701353274654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_on_yelp_polarity_7000_samples_en_5.2.0_3.0_1701353274654.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_roberta_base_on_yelp_polarity_7000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|453.0 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/finetuning-roberta-base-on-yelp_polarity_7000_samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_on_cornel_sentiment_7000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_on_cornel_sentiment_7000_samples_en.md
new file mode 100644
index 000000000000..58ddb9b58a28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_on_cornel_sentiment_7000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_roberta_on_cornel_sentiment_7000_samples RoBertaForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_roberta_on_cornel_sentiment_7000_samples
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_roberta_on_cornel_sentiment_7000_samples` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_roberta_on_cornel_sentiment_7000_samples_en_5.2.0_3.0_1701352324416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_roberta_on_cornel_sentiment_7000_samples_en_5.2.0_3.0_1701352324416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_roberta_on_cornel_sentiment_7000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.1 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/finetuning_roberta_on_cornel_sentiment_7000_samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_on_tweet_sentiment_sayula_popoluca_neg_7000_samples_en.md b/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_on_tweet_sentiment_sayula_popoluca_neg_7000_samples_en.md
new file mode 100644
index 000000000000..7230bc7b92b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-finetuning_roberta_on_tweet_sentiment_sayula_popoluca_neg_7000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_roberta_on_tweet_sentiment_sayula_popoluca_neg_7000_samples RoBertaForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_roberta_on_tweet_sentiment_sayula_popoluca_neg_7000_samples
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_roberta_on_tweet_sentiment_sayula_popoluca_neg_7000_samples` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_roberta_on_tweet_sentiment_sayula_popoluca_neg_7000_samples_en_5.2.0_3.0_1701348844151.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_roberta_on_tweet_sentiment_sayula_popoluca_neg_7000_samples_en_5.2.0_3.0_1701348844151.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_roberta_on_tweet_sentiment_sayula_popoluca_neg_7000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|440.8 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/finetuning_roberta_on_Tweet_Sentiment_pos_neg_7000_samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-finetuning_sentiment_model_spanish_der_emmanuel_en.md b/docs/_posts/ahmedlone127/2023-11-30-finetuning_sentiment_model_spanish_der_emmanuel_en.md
new file mode 100644
index 000000000000..cf88ca7adb0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-finetuning_sentiment_model_spanish_der_emmanuel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_spanish_der_emmanuel RoBertaForSequenceClassification from der-emmanuel
+author: John Snow Labs
+name: finetuning_sentiment_model_spanish_der_emmanuel
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_spanish_der_emmanuel` is a English model originally trained by der-emmanuel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_spanish_der_emmanuel_en_5.2.0_3.0_1701360148676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_spanish_der_emmanuel_en_5.2.0_3.0_1701360148676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_spanish_der_emmanuel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.9 MB|
+
+## References
+
+https://huggingface.co/der-emmanuel/finetuning-sentiment-model-spanish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-firsttry_en.md b/docs/_posts/ahmedlone127/2023-11-30-firsttry_en.md
new file mode 100644
index 000000000000..4287c0f65023
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-firsttry_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English firsttry RoBertaForSequenceClassification from Arvnd03
+author: John Snow Labs
+name: firsttry
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`firsttry` is a English model originally trained by Arvnd03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/firsttry_en_5.2.0_3.0_1701384304241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/firsttry_en_5.2.0_3.0_1701384304241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|firsttry|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.8 MB|
+
+## References
+
+https://huggingface.co/Arvnd03/FirstTry
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-fomc_roberta_tim9510019_en.md b/docs/_posts/ahmedlone127/2023-11-30-fomc_roberta_tim9510019_en.md
new file mode 100644
index 000000000000..104c2fa2688e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-fomc_roberta_tim9510019_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fomc_roberta_tim9510019 RoBertaForSequenceClassification from tim9510019
+author: John Snow Labs
+name: fomc_roberta_tim9510019
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fomc_roberta_tim9510019` is a English model originally trained by tim9510019.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fomc_roberta_tim9510019_en_5.2.0_3.0_1701346981043.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fomc_roberta_tim9510019_en_5.2.0_3.0_1701346981043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fomc_roberta_tim9510019|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tim9510019/FOMC-RoBERTa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-fos_level0_en.md b/docs/_posts/ahmedlone127/2023-11-30-fos_level0_en.md
new file mode 100644
index 000000000000..d59b7b6d39d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-fos_level0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fos_level0 RoBertaForSequenceClassification from intelcomp
+author: John Snow Labs
+name: fos_level0
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fos_level0` is a English model originally trained by intelcomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fos_level0_en_5.2.0_3.0_1701356062828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fos_level0_en_5.2.0_3.0_1701356062828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fos_level0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/intelcomp/fos_level0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-fs_distilroberta_fine_tuned_en.md b/docs/_posts/ahmedlone127/2023-11-30-fs_distilroberta_fine_tuned_en.md
new file mode 100644
index 000000000000..dc1434bcd231
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-fs_distilroberta_fine_tuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fs_distilroberta_fine_tuned RoBertaForSequenceClassification from Anthos23
+author: John Snow Labs
+name: fs_distilroberta_fine_tuned
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fs_distilroberta_fine_tuned` is a English model originally trained by Anthos23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fs_distilroberta_fine_tuned_en_5.2.0_3.0_1701370989640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fs_distilroberta_fine_tuned_en_5.2.0_3.0_1701370989640.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fs_distilroberta_fine_tuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.7 MB|
+
+## References
+
+https://huggingface.co/Anthos23/FS-distilroberta-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-ft_roberta_en.md b/docs/_posts/ahmedlone127/2023-11-30-ft_roberta_en.md
new file mode 100644
index 000000000000..d931661b877a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-ft_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ft_roberta RoBertaForSequenceClassification from MingDing2012
+author: John Snow Labs
+name: ft_roberta
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ft_roberta` is a English model originally trained by MingDing2012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ft_roberta_en_5.2.0_3.0_1701359828587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ft_roberta_en_5.2.0_3.0_1701359828587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ft_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.9 MB|
+
+## References
+
+https://huggingface.co/MingDing2012/FT_RoBERTa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-governancebert_governance_en.md b/docs/_posts/ahmedlone127/2023-11-30-governancebert_governance_en.md
new file mode 100644
index 000000000000..b8a0383e9f76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-governancebert_governance_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English governancebert_governance RoBertaForSequenceClassification from ESGBERT
+author: John Snow Labs
+name: governancebert_governance
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`governancebert_governance` is a English model originally trained by ESGBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/governancebert_governance_en_5.2.0_3.0_1701346089161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/governancebert_governance_en_5.2.0_3.0_1701346089161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|governancebert_governance|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.9 MB|
+
+## References
+
+https://huggingface.co/ESGBERT/GovernanceBERT-governance
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-govroberta_governance_en.md b/docs/_posts/ahmedlone127/2023-11-30-govroberta_governance_en.md
new file mode 100644
index 000000000000..b6902dadbfa3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-govroberta_governance_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English govroberta_governance RoBertaForSequenceClassification from ESGBERT
+author: John Snow Labs
+name: govroberta_governance
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`govroberta_governance` is a English model originally trained by ESGBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/govroberta_governance_en_5.2.0_3.0_1701350574660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/govroberta_governance_en_5.2.0_3.0_1701350574660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|govroberta_governance|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/ESGBERT/GovRoBERTa-governance
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-hate_multi_roberta_hasoc_hindi_hi.md b/docs/_posts/ahmedlone127/2023-11-30-hate_multi_roberta_hasoc_hindi_hi.md
new file mode 100644
index 000000000000..ac5dd85c0a9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-hate_multi_roberta_hasoc_hindi_hi.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Hindi hate_multi_roberta_hasoc_hindi RoBertaForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: hate_multi_roberta_hasoc_hindi
+date: 2023-11-30
+tags: [roberta, hi, open_source, sequence_classification, onnx]
+task: Text Classification
+language: hi
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_multi_roberta_hasoc_hindi` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_multi_roberta_hasoc_hindi_hi_5.2.0_3.0_1701366421121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_multi_roberta_hasoc_hindi_hi_5.2.0_3.0_1701366421121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_multi_roberta_hasoc_hindi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|hi|
+|Size:|467.1 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hate-multi-roberta-hasoc-hindi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-hatespeech_refugees_en.md b/docs/_posts/ahmedlone127/2023-11-30-hatespeech_refugees_en.md
new file mode 100644
index 000000000000..86646d939a7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-hatespeech_refugees_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hatespeech_refugees RoBertaForSequenceClassification from henrystoll
+author: John Snow Labs
+name: hatespeech_refugees
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hatespeech_refugees` is a English model originally trained by henrystoll.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hatespeech_refugees_en_5.2.0_3.0_1701353475168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hatespeech_refugees_en_5.2.0_3.0_1701353475168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hatespeech_refugees|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|299.8 MB|
+
+## References
+
+https://huggingface.co/henrystoll/hatespeech-refugees
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-iag_class_en.md b/docs/_posts/ahmedlone127/2023-11-30-iag_class_en.md
new file mode 100644
index 000000000000..ac07b5bb0ebb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-iag_class_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English iag_class RoBertaForSequenceClassification from audreyvasconcelos
+author: John Snow Labs
+name: iag_class
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iag_class` is a English model originally trained by audreyvasconcelos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iag_class_en_5.2.0_3.0_1701375099439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iag_class_en_5.2.0_3.0_1701375099439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|icf_levels_stm|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|nl|
+|Size:|471.9 MB|
+
+## References
+
+https://huggingface.co/CLTL/icf-levels-stm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-input_classifier_v3_muppet_en.md b/docs/_posts/ahmedlone127/2023-11-30-input_classifier_v3_muppet_en.md
new file mode 100644
index 000000000000..e6294faca2d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-input_classifier_v3_muppet_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English input_classifier_v3_muppet RoBertaForSequenceClassification from Abris
+author: John Snow Labs
+name: input_classifier_v3_muppet
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`input_classifier_v3_muppet` is a English model originally trained by Abris.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/input_classifier_v3_muppet_en_5.2.0_3.0_1701346848639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/input_classifier_v3_muppet_en_5.2.0_3.0_1701346848639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|input_classifier_v3_muppet|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.3 MB|
+
+## References
+
+https://huggingface.co/Abris/input_classifier_v3_muppet
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-isitphish_en.md b/docs/_posts/ahmedlone127/2023-11-30-isitphish_en.md
new file mode 100644
index 000000000000..fd34f1af4daa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-isitphish_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English isitphish RoBertaForSequenceClassification from phishbot
+author: John Snow Labs
+name: isitphish
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`isitphish` is a English model originally trained by phishbot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/isitphish_en_5.2.0_3.0_1701353046850.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/isitphish_en_5.2.0_3.0_1701353046850.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|isitphish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.4 MB|
+
+## References
+
+https://huggingface.co/phishbot/Isitphish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-issuereportclassifier_nlbse22_en.md b/docs/_posts/ahmedlone127/2023-11-30-issuereportclassifier_nlbse22_en.md
new file mode 100644
index 000000000000..a9220b76d908
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-issuereportclassifier_nlbse22_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English issuereportclassifier_nlbse22 RoBertaForSequenceClassification from PeppoCola
+author: John Snow Labs
+name: issuereportclassifier_nlbse22
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`issuereportclassifier_nlbse22` is a English model originally trained by PeppoCola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/issuereportclassifier_nlbse22_en_5.2.0_3.0_1701350419589.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/issuereportclassifier_nlbse22_en_5.2.0_3.0_1701350419589.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|issuereportclassifier_nlbse22|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/PeppoCola/IssueReportClassifier-NLBSE22
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-leia_large_en.md b/docs/_posts/ahmedlone127/2023-11-30-leia_large_en.md
new file mode 100644
index 000000000000..4f281c059447
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-leia_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English leia_large RoBertaForSequenceClassification from LEIA
+author: John Snow Labs
+name: leia_large
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`leia_large` is a English model originally trained by LEIA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/leia_large_en_5.2.0_3.0_1701353508087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/leia_large_en_5.2.0_3.0_1701353508087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|leia_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/LEIA/LEIA-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-llamahoraigpt3_5v4_en.md b/docs/_posts/ahmedlone127/2023-11-30-llamahoraigpt3_5v4_en.md
new file mode 100644
index 000000000000..4a523c29dabb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-llamahoraigpt3_5v4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English llamahoraigpt3_5v4 RoBertaForSequenceClassification from stealthwriter
+author: John Snow Labs
+name: llamahoraigpt3_5v4
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`llamahoraigpt3_5v4` is a English model originally trained by stealthwriter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/llamahoraigpt3_5v4_en_5.2.0_3.0_1701352572434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/llamahoraigpt3_5v4_en_5.2.0_3.0_1701352572434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|me_sent_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|mr|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/l3cube-pune/me-sent-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-medical_infusion_pump_en.md b/docs/_posts/ahmedlone127/2023-11-30-medical_infusion_pump_en.md
new file mode 100644
index 000000000000..86e0571b5509
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-medical_infusion_pump_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English medical_infusion_pump RoBertaForSequenceClassification from thearod5
+author: John Snow Labs
+name: medical_infusion_pump
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medical_infusion_pump` is a English model originally trained by thearod5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medical_infusion_pump_en_5.2.0_3.0_1701350377462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical_infusion_pump_en_5.2.0_3.0_1701350377462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medical_infusion_pump|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.5 MB|
+
+## References
+
+https://huggingface.co/thearod5/medical-infusion-pump
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-mental_health_disorder_classification_en.md b/docs/_posts/ahmedlone127/2023-11-30-mental_health_disorder_classification_en.md
new file mode 100644
index 000000000000..fb0c22d61fbe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-mental_health_disorder_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mental_health_disorder_classification RoBertaForSequenceClassification from musagani05
+author: John Snow Labs
+name: mental_health_disorder_classification
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mental_health_disorder_classification` is a English model originally trained by musagani05.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mental_health_disorder_classification_en_5.2.0_3.0_1701348734052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mental_health_disorder_classification_en_5.2.0_3.0_1701348734052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mental_health_disorder_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|458.6 MB|
+
+## References
+
+https://huggingface.co/musagani05/mental-health-disorder-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-mindminer_binary_en.md b/docs/_posts/ahmedlone127/2023-11-30-mindminer_binary_en.md
new file mode 100644
index 000000000000..48964cdbee7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-mindminer_binary_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mindminer_binary RoBertaForSequenceClassification from j-hartmann
+author: John Snow Labs
+name: mindminer_binary
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mindminer_binary` is a English model originally trained by j-hartmann.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mindminer_binary_en_5.2.0_3.0_1701349013795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mindminer_binary_en_5.2.0_3.0_1701349013795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mindminer_binary|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|422.1 MB|
+
+## References
+
+https://huggingface.co/j-hartmann/MindMiner-Binary
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-mindminer_en.md b/docs/_posts/ahmedlone127/2023-11-30-mindminer_en.md
new file mode 100644
index 000000000000..579ff77654a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-mindminer_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mindminer RoBertaForSequenceClassification from j-hartmann
+author: John Snow Labs
+name: mindminer
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mindminer` is a English model originally trained by j-hartmann.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mindminer_en_5.2.0_3.0_1701347392141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mindminer_en_5.2.0_3.0_1701347392141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mindminer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.5 MB|
+
+## References
+
+https://huggingface.co/j-hartmann/MindMiner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-minilmv2_l6_h768_distilled_from_roberta_large_boolq_en.md b/docs/_posts/ahmedlone127/2023-11-30-minilmv2_l6_h768_distilled_from_roberta_large_boolq_en.md
new file mode 100644
index 000000000000..a8f2247ebce3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-minilmv2_l6_h768_distilled_from_roberta_large_boolq_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English minilmv2_l6_h768_distilled_from_roberta_large_boolq RoBertaForSequenceClassification from nfliu
+author: John Snow Labs
+name: minilmv2_l6_h768_distilled_from_roberta_large_boolq
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`minilmv2_l6_h768_distilled_from_roberta_large_boolq` is a English model originally trained by nfliu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h768_distilled_from_roberta_large_boolq_en_5.2.0_3.0_1701353126716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h768_distilled_from_roberta_large_boolq_en_5.2.0_3.0_1701353126716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilmv2_l6_h768_distilled_from_roberta_large_boolq|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|298.3 MB|
+
+## References
+
+https://huggingface.co/nfliu/MiniLMv2-L6-H768-distilled-from-RoBERTa-Large_boolq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-moralstories_roberta_action_context_cls_en.md b/docs/_posts/ahmedlone127/2023-11-30-moralstories_roberta_action_context_cls_en.md
new file mode 100644
index 000000000000..b985fd423d20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-moralstories_roberta_action_context_cls_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English moralstories_roberta_action_context_cls RoBertaForSequenceClassification from gFulvio
+author: John Snow Labs
+name: moralstories_roberta_action_context_cls
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`moralstories_roberta_action_context_cls` is a English model originally trained by gFulvio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/moralstories_roberta_action_context_cls_en_5.2.0_3.0_1701384628860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/moralstories_roberta_action_context_cls_en_5.2.0_3.0_1701384628860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|moralstories_roberta_action_context_cls|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/gFulvio/moralstories-roberta-action.context-cls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-movie_review_score_discriminator_eng_en.md b/docs/_posts/ahmedlone127/2023-11-30-movie_review_score_discriminator_eng_en.md
new file mode 100644
index 000000000000..9d8417af6a00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-movie_review_score_discriminator_eng_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English movie_review_score_discriminator_eng RoBertaForSequenceClassification from mdj1412
+author: John Snow Labs
+name: movie_review_score_discriminator_eng
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`movie_review_score_discriminator_eng` is a English model originally trained by mdj1412.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/movie_review_score_discriminator_eng_en_5.2.0_3.0_1701388688801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/movie_review_score_discriminator_eng_en_5.2.0_3.0_1701388688801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|movie_review_score_discriminator_eng|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|435.8 MB|
+
+## References
+
+https://huggingface.co/mdj1412/movie_review_score_discriminator_eng
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-msmarco_roberta_for_similarity_en.md b/docs/_posts/ahmedlone127/2023-11-30-msmarco_roberta_for_similarity_en.md
new file mode 100644
index 000000000000..402c8023254d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-msmarco_roberta_for_similarity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English msmarco_roberta_for_similarity RoBertaForSequenceClassification from cassiepowell
+author: John Snow Labs
+name: msmarco_roberta_for_similarity
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`msmarco_roberta_for_similarity` is a English model originally trained by cassiepowell.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/msmarco_roberta_for_similarity_en_5.2.0_3.0_1701359028526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/msmarco_roberta_for_similarity_en_5.2.0_3.0_1701359028526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|msmarco_roberta_for_similarity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/cassiepowell/msmarco-RoBERTa-for-similarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-nlp_sentimental_analysis_finetuned_using_roberta_base_model_en.md b/docs/_posts/ahmedlone127/2023-11-30-nlp_sentimental_analysis_finetuned_using_roberta_base_model_en.md
new file mode 100644
index 000000000000..e0dbd9aac746
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-nlp_sentimental_analysis_finetuned_using_roberta_base_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nlp_sentimental_analysis_finetuned_using_roberta_base_model RoBertaForSequenceClassification from Achar
+author: John Snow Labs
+name: nlp_sentimental_analysis_finetuned_using_roberta_base_model
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nlp_sentimental_analysis_finetuned_using_roberta_base_model` is a English model originally trained by Achar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_sentimental_analysis_finetuned_using_roberta_base_model_en_5.2.0_3.0_1701351883340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_sentimental_analysis_finetuned_using_roberta_base_model_en_5.2.0_3.0_1701351883340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_sentimental_analysis_finetuned_using_roberta_base_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.3 MB|
+
+## References
+
+https://huggingface.co/Achar/NLP-Sentimental-Analysis-Finetuned-using-Roberta-base-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-ogbv_gender_twtrobertabase_english_founta_final_en.md b/docs/_posts/ahmedlone127/2023-11-30-ogbv_gender_twtrobertabase_english_founta_final_en.md
new file mode 100644
index 000000000000..274f7c14f19e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-ogbv_gender_twtrobertabase_english_founta_final_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ogbv_gender_twtrobertabase_english_founta_final RoBertaForSequenceClassification from Maha
+author: John Snow Labs
+name: ogbv_gender_twtrobertabase_english_founta_final
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ogbv_gender_twtrobertabase_english_founta_final` is a English model originally trained by Maha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ogbv_gender_twtrobertabase_english_founta_final_en_5.2.0_3.0_1701369702781.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ogbv_gender_twtrobertabase_english_founta_final_en_5.2.0_3.0_1701369702781.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ogbv_gender_twtrobertabase_english_founta_final|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Maha/OGBV-gender-twtrobertabase-en-founta_final
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-oo_method_test_model_bylibrary_en.md b/docs/_posts/ahmedlone127/2023-11-30-oo_method_test_model_bylibrary_en.md
new file mode 100644
index 000000000000..db97cb9ad843
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-oo_method_test_model_bylibrary_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English oo_method_test_model_bylibrary RoBertaForSequenceClassification from ejschwartz
+author: John Snow Labs
+name: oo_method_test_model_bylibrary
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`oo_method_test_model_bylibrary` is a English model originally trained by ejschwartz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/oo_method_test_model_bylibrary_en_5.2.0_3.0_1701354098146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/oo_method_test_model_bylibrary_en_5.2.0_3.0_1701354098146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|oo_method_test_model_bylibrary|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|314.0 MB|
+
+## References
+
+https://huggingface.co/ejschwartz/oo-method-test-model-bylibrary
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-openai_detector_base_en.md b/docs/_posts/ahmedlone127/2023-11-30-openai_detector_base_en.md
new file mode 100644
index 000000000000..70f675df3d48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-openai_detector_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English openai_detector_base RoBertaForSequenceClassification from nbroad
+author: John Snow Labs
+name: openai_detector_base
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`openai_detector_base` is a English model originally trained by nbroad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/openai_detector_base_en_5.2.0_3.0_1701347531485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/openai_detector_base_en_5.2.0_3.0_1701347531485.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|openai_detector_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/nbroad/openai-detector-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-opp_115_privacy_contact_information_en.md b/docs/_posts/ahmedlone127/2023-11-30-opp_115_privacy_contact_information_en.md
new file mode 100644
index 000000000000..5ffd325e3545
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-opp_115_privacy_contact_information_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English opp_115_privacy_contact_information RoBertaForSequenceClassification from jakariamd
+author: John Snow Labs
+name: opp_115_privacy_contact_information
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opp_115_privacy_contact_information` is a English model originally trained by jakariamd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opp_115_privacy_contact_information_en_5.2.0_3.0_1701346370927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opp_115_privacy_contact_information_en_5.2.0_3.0_1701346370927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+References
+
+https://huggingface.co/soyisauce/output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-pcl_robertabase_en.md b/docs/_posts/ahmedlone127/2023-11-30-pcl_robertabase_en.md
new file mode 100644
index 000000000000..96b75e774f1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-pcl_robertabase_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pcl_robertabase RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: pcl_robertabase
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pcl_robertabase` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pcl_robertabase_en_5.2.0_3.0_1701364714493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pcl_robertabase_en_5.2.0_3.0_1701364714493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pcl_robertabase|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|445.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/pcl_robertabase
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-platzi_distilroberta_base_mrpc_glue_edgar_elias_en.md b/docs/_posts/ahmedlone127/2023-11-30-platzi_distilroberta_base_mrpc_glue_edgar_elias_en.md
new file mode 100644
index 000000000000..488e8b6071bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-platzi_distilroberta_base_mrpc_glue_edgar_elias_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_edgar_elias RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_edgar_elias
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_edgar_elias` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_edgar_elias_en_5.2.0_3.0_1701362279932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_edgar_elias_en_5.2.0_3.0_1701362279932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_edgar_elias|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distilroberta-base-mrpc-glue-edgar-elias
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-polish_bert_en.md b/docs/_posts/ahmedlone127/2023-11-30-polish_bert_en.md
new file mode 100644
index 000000000000..c2923a5f3f12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-polish_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English polish_bert RoBertaForSequenceClassification from thearod5
+author: John Snow Labs
+name: polish_bert
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`polish_bert` is a English model originally trained by thearod5.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/polish_bert_en_5.2.0_3.0_1701363669434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/polish_bert_en_5.2.0_3.0_1701363669434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|polish_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/thearod5/pl-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-privacy_intent_en.md b/docs/_posts/ahmedlone127/2023-11-30-privacy_intent_en.md
new file mode 100644
index 000000000000..bee89ff8bf3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-privacy_intent_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English privacy_intent RoBertaForSequenceClassification from remzicam
+author: John Snow Labs
+name: privacy_intent
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`privacy_intent` is a English model originally trained by remzicam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/privacy_intent_en_5.2.0_3.0_1701351223346.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/privacy_intent_en_5.2.0_3.0_1701351223346.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|privacy_intent|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/remzicam/privacy_intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-progortu_en.md b/docs/_posts/ahmedlone127/2023-11-30-progortu_en.md
new file mode 100644
index 000000000000..401f8224c4cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-progortu_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English progortu RoBertaForSequenceClassification from bibbia
+author: John Snow Labs
+name: progortu
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`progortu` is a English model originally trained by bibbia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/progortu_en_5.2.0_3.0_1701350459730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/progortu_en_5.2.0_3.0_1701350459730.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|progortu|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/bibbia/progOrtu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-prompts_reward_model_en.md b/docs/_posts/ahmedlone127/2023-11-30-prompts_reward_model_en.md
new file mode 100644
index 000000000000..dbe2821d5906
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-prompts_reward_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English prompts_reward_model RoBertaForSequenceClassification from toloka
+author: John Snow Labs
+name: prompts_reward_model
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prompts_reward_model` is a English model originally trained by toloka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prompts_reward_model_en_5.2.0_3.0_1701367347254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prompts_reward_model_en_5.2.0_3.0_1701367347254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prompts_reward_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/toloka/prompts_reward_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-quora_roberta_base_navteca_en.md b/docs/_posts/ahmedlone127/2023-11-30-quora_roberta_base_navteca_en.md
new file mode 100644
index 000000000000..81fea8683d5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-quora_roberta_base_navteca_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English quora_roberta_base_navteca RoBertaForSequenceClassification from navteca
+author: John Snow Labs
+name: quora_roberta_base_navteca
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quora_roberta_base_navteca` is a English model originally trained by navteca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quora_roberta_base_navteca_en_5.2.0_3.0_1701347917689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quora_roberta_base_navteca_en_5.2.0_3.0_1701347917689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|racism|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|447.9 MB|
+
+## References
+
+https://huggingface.co/davidmasip/racism
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-racism_finetuned_detests_en.md b/docs/_posts/ahmedlone127/2023-11-30-racism_finetuned_detests_en.md
new file mode 100644
index 000000000000..20800ce9ae37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-racism_finetuned_detests_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English racism_finetuned_detests RoBertaForSequenceClassification from Pablo94
+author: John Snow Labs
+name: racism_finetuned_detests
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`racism_finetuned_detests` is a English model originally trained by Pablo94.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/racism_finetuned_detests_en_5.2.0_3.0_1701349583186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/racism_finetuned_detests_en_5.2.0_3.0_1701349583186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|racism_finetuned_detests|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|449.6 MB|
+
+## References
+
+https://huggingface.co/Pablo94/racism-finetuned-detests
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-real_and_fake_news_detection_en.md b/docs/_posts/ahmedlone127/2023-11-30-real_and_fake_news_detection_en.md
new file mode 100644
index 000000000000..29ddc9f77dd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-real_and_fake_news_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English real_and_fake_news_detection RoBertaForSequenceClassification from MYC007
+author: John Snow Labs
+name: real_and_fake_news_detection
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`real_and_fake_news_detection` is a English model originally trained by MYC007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/real_and_fake_news_detection_en_5.2.0_3.0_1701348315692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/real_and_fake_news_detection_en_5.2.0_3.0_1701348315692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|real_and_fake_news_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|459.1 MB|
+
+## References
+
+https://huggingface.co/MYC007/Real-and-Fake-News-Detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_150t_argumentative_sentence_detector_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_150t_argumentative_sentence_detector_en.md
new file mode 100644
index 000000000000..767f7a0b1ca1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_150t_argumentative_sentence_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_150t_argumentative_sentence_detector RoBertaForSequenceClassification from pheinisch
+author: John Snow Labs
+name: roberta_base_150t_argumentative_sentence_detector
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_150t_argumentative_sentence_detector` is a English model originally trained by pheinisch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_150t_argumentative_sentence_detector_en_5.2.0_3.0_1701384326641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_150t_argumentative_sentence_detector_en_5.2.0_3.0_1701384326641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_150t_argumentative_sentence_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|449.3 MB|
+
+## References
+
+https://huggingface.co/pheinisch/roberta-base-150T-argumentative-sentence-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_ag_news_brachio99_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_ag_news_brachio99_en.md
new file mode 100644
index 000000000000..5df2793acac1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_ag_news_brachio99_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_ag_news_brachio99 RoBertaForSequenceClassification from brachio99
+author: John Snow Labs
+name: roberta_base_ag_news_brachio99
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ag_news_brachio99` is a English model originally trained by brachio99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_brachio99_en_5.2.0_3.0_1701356270334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_brachio99_en_5.2.0_3.0_1701356270334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ag_news_brachio99|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.8 MB|
+
+## References
+
+https://huggingface.co/brachio99/roberta-base_ag_news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_ag_news_gaionl_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_ag_news_gaionl_en.md
new file mode 100644
index 000000000000..3ad9ab4b70f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_ag_news_gaionl_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_ag_news_gaionl RoBertaForSequenceClassification from gaioNL
+author: John Snow Labs
+name: roberta_base_ag_news_gaionl
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ag_news_gaionl` is a English model originally trained by gaioNL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_gaionl_en_5.2.0_3.0_1701383995997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_gaionl_en_5.2.0_3.0_1701383995997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ag_news_gaionl|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.4 MB|
+
+## References
+
+https://huggingface.co/gaioNL/roberta-base_ag_news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_aita_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_aita_en.md
new file mode 100644
index 000000000000..0d9fd850b8a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_aita_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_aita RoBertaForSequenceClassification from cnamuangtoun
+author: John Snow Labs
+name: roberta_base_aita
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_aita` is a English model originally trained by cnamuangtoun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_aita_en_5.2.0_3.0_1701384208793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_aita_en_5.2.0_3.0_1701384208793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_aita|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|452.8 MB|
+
+## References
+
+https://huggingface.co/cnamuangtoun/roberta-base-aita
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_amazon_reviews_multi_eugenia_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_amazon_reviews_multi_eugenia_en.md
new file mode 100644
index 000000000000..994792a80e40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_amazon_reviews_multi_eugenia_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_eugenia RoBertaForSequenceClassification from Eugenia
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_eugenia
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_eugenia` is a English model originally trained by Eugenia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_eugenia_en_5.2.0_3.0_1701350153604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_eugenia_en_5.2.0_3.0_1701350153604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_eugenia|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.8 MB|
+
+## References
+
+https://huggingface.co/Eugenia/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_amazon_reviews_multi_hormigo_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_amazon_reviews_multi_hormigo_en.md
new file mode 100644
index 000000000000..e91a0f6e427a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_amazon_reviews_multi_hormigo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_hormigo RoBertaForSequenceClassification from Hormigo
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_hormigo
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_hormigo` is a English model originally trained by Hormigo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_hormigo_en_5.2.0_3.0_1701346515199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_hormigo_en_5.2.0_3.0_1701346515199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_hormigo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.8 MB|
+
+## References
+
+https://huggingface.co/Hormigo/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_amazon_reviews_multi_leanai_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_amazon_reviews_multi_leanai_en.md
new file mode 100644
index 000000000000..54580a4678d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_amazon_reviews_multi_leanai_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_leanai RoBertaForSequenceClassification from LeanAI
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_leanai
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_leanai` is a English model originally trained by LeanAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_leanai_en_5.2.0_3.0_1701370051882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_leanai_en_5.2.0_3.0_1701370051882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_leanai|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|425.0 MB|
+
+## References
+
+https://huggingface.co/LeanAI/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_analisis_de_sentimientos_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_analisis_de_sentimientos_en.md
new file mode 100644
index 000000000000..8808dce73b39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_analisis_de_sentimientos_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_analisis_de_sentimientos RoBertaForSequenceClassification from DataPath
+author: John Snow Labs
+name: roberta_base_bne_finetuned_analisis_de_sentimientos
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_analisis_de_sentimientos` is a English model originally trained by DataPath.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_analisis_de_sentimientos_en_5.2.0_3.0_1701346132130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_analisis_de_sentimientos_en_5.2.0_3.0_1701346132130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_analisis_de_sentimientos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|451.0 MB|
+
+## References
+
+https://huggingface.co/DataPath/roberta-base-bne-finetuned-Analisis_De_Sentimientos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_meia_analisisdesentimientos_rvrtdta_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_meia_analisisdesentimientos_rvrtdta_en.md
new file mode 100644
index 000000000000..3a6e254cf888
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_meia_analisisdesentimientos_rvrtdta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_meia_analisisdesentimientos_rvrtdta RoBertaForSequenceClassification from rvrtdta
+author: John Snow Labs
+name: roberta_base_bne_finetuned_meia_analisisdesentimientos_rvrtdta
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_meia_analisisdesentimientos_rvrtdta` is a English model originally trained by rvrtdta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_meia_analisisdesentimientos_rvrtdta_en_5.2.0_3.0_1701353469492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_meia_analisisdesentimientos_rvrtdta_en_5.2.0_3.0_1701353469492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_meia_analisisdesentimientos_rvrtdta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.9 MB|
+
+## References
+
+https://huggingface.co/rvrtdta/roberta-base-bne-finetuned-MeIA-AnalisisDeSentimientos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_polaridadda_v1_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_polaridadda_v1_en.md
new file mode 100644
index 000000000000..987814db0501
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_polaridadda_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_polaridadda_v1 RoBertaForSequenceClassification from vg055
+author: John Snow Labs
+name: roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_polaridadda_v1
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_polaridadda_v1` is a English model originally trained by vg055.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_polaridadda_v1_en_5.2.0_3.0_1701384213559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_tripadvisordomainadaptation_finetuned_e2_restmex2023_polaridadda_v1_en_5.2.0_3.0_1701384213559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_mldoc|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|448.4 MB|
+
+## References
+
+https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-mldoc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_cefr_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_cefr_en.md
new file mode 100644
index 000000000000..d0f17d2b46d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_cefr_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_cefr RoBertaForSequenceClassification from caleb-edukita
+author: John Snow Labs
+name: roberta_base_cefr
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_cefr` is a English model originally trained by caleb-edukita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_cefr_en_5.2.0_3.0_1701388465497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_cefr_en_5.2.0_3.0_1701388465497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_cefr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|441.8 MB|
+
+## References
+
+https://huggingface.co/caleb-edukita/roberta-base_cefr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_clickbait_keywords_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_clickbait_keywords_en.md
new file mode 100644
index 000000000000..1288fae337ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_clickbait_keywords_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_clickbait_keywords RoBertaForSequenceClassification from Stremie
+author: John Snow Labs
+name: roberta_base_clickbait_keywords
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_clickbait_keywords` is a English model originally trained by Stremie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_clickbait_keywords_en_5.2.0_3.0_1701351874617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_clickbait_keywords_en_5.2.0_3.0_1701351874617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_clickbait_keywords|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|451.1 MB|
+
+## References
+
+https://huggingface.co/Stremie/roberta-base-clickbait-keywords
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_disaster_tweets_squall_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_disaster_tweets_squall_en.md
new file mode 100644
index 000000000000..db7ae8d4d315
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_disaster_tweets_squall_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_disaster_tweets_squall RoBertaForSequenceClassification from maxschlake
+author: John Snow Labs
+name: roberta_base_disaster_tweets_squall
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_disaster_tweets_squall` is a English model originally trained by maxschlake.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_disaster_tweets_squall_en_5.2.0_3.0_1701346883180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_disaster_tweets_squall_en_5.2.0_3.0_1701346883180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_disaster_tweets_squall|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|442.3 MB|
+
+## References
+
+https://huggingface.co/maxschlake/roberta-base_disaster_tweets_squall
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_discourse_marker_prediction_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_discourse_marker_prediction_en.md
new file mode 100644
index 000000000000..4aa4803f5b2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_discourse_marker_prediction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_discourse_marker_prediction RoBertaForSequenceClassification from sileod
+author: John Snow Labs
+name: roberta_base_discourse_marker_prediction
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_discourse_marker_prediction` is a English model originally trained by sileod.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_discourse_marker_prediction_en_5.2.0_3.0_1701364838792.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_discourse_marker_prediction_en_5.2.0_3.0_1701364838792.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_discourse_marker_prediction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.8 MB|
+
+## References
+
+https://huggingface.co/sileod/roberta-base-discourse-marker-prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_e_snli_classification_nli_base_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_e_snli_classification_nli_base_en.md
new file mode 100644
index 000000000000..12968634819e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_e_snli_classification_nli_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_e_snli_classification_nli_base RoBertaForSequenceClassification from k4black
+author: John Snow Labs
+name: roberta_base_e_snli_classification_nli_base
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_e_snli_classification_nli_base` is a English model originally trained by k4black.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_e_snli_classification_nli_base_en_5.2.0_3.0_1701347728777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_e_snli_classification_nli_base_en_5.2.0_3.0_1701347728777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_e_snli_classification_nli_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|449.6 MB|
+
+## References
+
+https://huggingface.co/k4black/roberta-base-e-snli-classification-nli-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_emoji_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_emoji_en.md
new file mode 100644
index 000000000000..d0ff2574ec28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_emoji_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_emoji RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_base_emoji
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_emoji` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_emoji_en_5.2.0_3.0_1701368289244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_emoji_en_5.2.0_3.0_1701368289244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_emoji|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.6 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/roberta-base-emoji
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_emotion_cardiffnlp_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_emotion_cardiffnlp_en.md
new file mode 100644
index 000000000000..437e102d3a40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_emotion_cardiffnlp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_emotion_cardiffnlp RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_base_emotion_cardiffnlp
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_emotion_cardiffnlp` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_emotion_cardiffnlp_en_5.2.0_3.0_1701353814117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_emotion_cardiffnlp_en_5.2.0_3.0_1701353814117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_emotion_cardiffnlp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.5 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/roberta-base-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_emotion_honours_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_emotion_honours_en.md
new file mode 100644
index 000000000000..3027ba1d3263
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_emotion_honours_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_emotion_honours RoBertaForSequenceClassification from L-40408203
+author: John Snow Labs
+name: roberta_base_emotion_honours
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_emotion_honours` is a English model originally trained by L-40408203.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_emotion_honours_en_5.2.0_3.0_1701347457155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_emotion_honours_en_5.2.0_3.0_1701347457155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_emotion_honours|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.4 MB|
+
+## References
+
+https://huggingface.co/L-40408203/roberta-base-emotion-honours
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_empathy_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_empathy_en.md
new file mode 100644
index 000000000000..27d224024afb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_empathy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_empathy RoBertaForSequenceClassification from bdotloh
+author: John Snow Labs
+name: roberta_base_empathy
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_empathy` is a English model originally trained by bdotloh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_empathy_en_5.2.0_3.0_1701384711112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_empathy_en_5.2.0_3.0_1701384711112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_empathy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|434.7 MB|
+
+## References
+
+https://huggingface.co/bdotloh/roberta-base-empathy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_emotion_en.md
new file mode 100644
index 000000000000..fcb12e93cd63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_emotion RoBertaForSequenceClassification from MuntasirHossain
+author: John Snow Labs
+name: roberta_base_finetuned_emotion
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_emotion` is a English model originally trained by MuntasirHossain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_emotion_en_5.2.0_3.0_1701347868226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_emotion_en_5.2.0_3.0_1701347868226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.9 MB|
+
+## References
+
+https://huggingface.co/MuntasirHossain/RoBERTa-base-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_irony_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_irony_en.md
new file mode 100644
index 000000000000..36b051ece462
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_irony_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_irony RoBertaForSequenceClassification from vikram71198
+author: John Snow Labs
+name: roberta_base_finetuned_irony
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_irony` is a English model originally trained by vikram71198.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_irony_en_5.2.0_3.0_1701385244623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_irony_en_5.2.0_3.0_1701385244623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_irony|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.4 MB|
+
+## References
+
+https://huggingface.co/vikram71198/roberta-base-finetuned-irony
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_sdg_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_sdg_en.md
new file mode 100644
index 000000000000..d53ce1ed622f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_sdg_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_sdg RoBertaForSequenceClassification from jonas
+author: John Snow Labs
+name: roberta_base_finetuned_sdg
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_sdg` is a English model originally trained by jonas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sdg_en_5.2.0_3.0_1701369210757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sdg_en_5.2.0_3.0_1701369210757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_sdg|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.9 MB|
+
+## References
+
+https://huggingface.co/jonas/roberta-base-finetuned-sdg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_sst2_bhumika_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_sst2_bhumika_en.md
new file mode 100644
index 000000000000..0068d38ca6de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_finetuned_sst2_bhumika_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_sst2_bhumika RoBertaForSequenceClassification from Bhumika
+author: John Snow Labs
+name: roberta_base_finetuned_sst2_bhumika
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_sst2_bhumika` is a English model originally trained by Bhumika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sst2_bhumika_en_5.2.0_3.0_1701351567338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_sst2_bhumika_en_5.2.0_3.0_1701351567338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_sst2_bhumika|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|445.5 MB|
+
+## References
+
+https://huggingface.co/Bhumika/roberta-base-finetuned-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_md_gender_bias_saved_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_md_gender_bias_saved_en.md
new file mode 100644
index 000000000000..4ecb5c188dd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_md_gender_bias_saved_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_md_gender_bias_saved RoBertaForSequenceClassification from thaile
+author: John Snow Labs
+name: roberta_base_md_gender_bias_saved
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_md_gender_bias_saved` is a English model originally trained by thaile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_md_gender_bias_saved_en_5.2.0_3.0_1701349737493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_md_gender_bias_saved_en_5.2.0_3.0_1701349737493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_md_gender_bias_saved|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.3 MB|
+
+## References
+
+https://huggingface.co/thaile/roberta-base-md_gender_bias-saved
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_nordea_page_types_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_nordea_page_types_en.md
new file mode 100644
index 000000000000..8a9beb83a9af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_nordea_page_types_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_nordea_page_types RoBertaForSequenceClassification from arved
+author: John Snow Labs
+name: roberta_base_nordea_page_types
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_nordea_page_types` is a English model originally trained by arved.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_nordea_page_types_en_5.2.0_3.0_1701384912841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_nordea_page_types_en_5.2.0_3.0_1701384912841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_nordea_page_types|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|431.4 MB|
+
+## References
+
+https://huggingface.co/arved/roberta-base_nordea_page_types
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_qnli_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_qnli_en.md
new file mode 100644
index 000000000000..db070aa7335b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_qnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_qnli RoBertaForSequenceClassification from textattack
+author: John Snow Labs
+name: roberta_base_qnli
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_qnli` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_qnli_en_5.2.0_3.0_1701349320870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_qnli_en_5.2.0_3.0_1701349320870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_qnli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|461.0 MB|
+
+## References
+
+https://huggingface.co/textattack/roberta-base-QNLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_reward_model_falcon_dolly_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_reward_model_falcon_dolly_en.md
new file mode 100644
index 000000000000..6c2149745608
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_reward_model_falcon_dolly_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_reward_model_falcon_dolly RoBertaForSequenceClassification from argilla
+author: John Snow Labs
+name: roberta_base_reward_model_falcon_dolly
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_reward_model_falcon_dolly` is a English model originally trained by argilla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_reward_model_falcon_dolly_en_5.2.0_3.0_1701351780505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_reward_model_falcon_dolly_en_5.2.0_3.0_1701351780505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_reward_model_falcon_dolly|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/argilla/roberta-base-reward-model-falcon-dolly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_sst2_willheld_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_sst2_willheld_en.md
new file mode 100644
index 000000000000..8434a01a991f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_sst2_willheld_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_sst2_willheld RoBertaForSequenceClassification from WillHeld
+author: John Snow Labs
+name: roberta_base_sst2_willheld
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_sst2_willheld` is a English model originally trained by WillHeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_sst2_willheld_en_5.2.0_3.0_1701346241671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_sst2_willheld_en_5.2.0_3.0_1701346241671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_sst2_willheld|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|445.3 MB|
+
+## References
+
+https://huggingface.co/WillHeld/roberta-base-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_sst_2_64_13_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_sst_2_64_13_en.md
new file mode 100644
index 000000000000..0bff9891d6af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_sst_2_64_13_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_sst_2_64_13 RoBertaForSequenceClassification from simonycl
+author: John Snow Labs
+name: roberta_base_sst_2_64_13
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_sst_2_64_13` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_sst_2_64_13_en_5.2.0_3.0_1701351171067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_sst_2_64_13_en_5.2.0_3.0_1701351171067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_sst_2_64_13|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|426.7 MB|
+
+## References
+
+https://huggingface.co/simonycl/roberta-base-sst-2-64-13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_suicide_prediction_phr_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_suicide_prediction_phr_en.md
new file mode 100644
index 000000000000..25e944e0339e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_suicide_prediction_phr_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_suicide_prediction_phr RoBertaForSequenceClassification from vibhorag101
+author: John Snow Labs
+name: roberta_base_suicide_prediction_phr
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_suicide_prediction_phr` is a English model originally trained by vibhorag101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_suicide_prediction_phr_en_5.2.0_3.0_1701348741459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_suicide_prediction_phr_en_5.2.0_3.0_1701348741459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_suicide_prediction_phr|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|449.2 MB|
+
+## References
+
+https://huggingface.co/vibhorag101/roberta-base-suicide-prediction-phr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_trigger_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_trigger_en.md
new file mode 100644
index 000000000000..fbf8e8751619
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_trigger_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_trigger RoBertaForSequenceClassification from ucsahin
+author: John Snow Labs
+name: roberta_base_trigger
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_trigger` is a English model originally trained by ucsahin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_trigger_en_5.2.0_3.0_1701346646988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_trigger_en_5.2.0_3.0_1701346646988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_trigger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|455.5 MB|
+
+## References
+
+https://huggingface.co/ucsahin/roberta-base-trigger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_base_wnli_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_wnli_en.md
new file mode 100644
index 000000000000..d1024677c1a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_base_wnli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_wnli RoBertaForSequenceClassification from textattack
+author: John Snow Labs
+name: roberta_base_wnli
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_wnli` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_wnli_en_5.2.0_3.0_1701371673042.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_wnli_en_5.2.0_3.0_1701371673042.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_wnli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.6 MB|
+
+## References
+
+https://huggingface.co/textattack/roberta-base-WNLI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_bias_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_bias_en.md
new file mode 100644
index 000000000000..2aa160501052
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_bias_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_bias RoBertaForSequenceClassification from aosaf
+author: John Snow Labs
+name: roberta_bias
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_bias` is a English model originally trained by aosaf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_bias_en_5.2.0_3.0_1701350080711.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_bias_en_5.2.0_3.0_1701350080711.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_bias|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.7 MB|
+
+## References
+
+https://huggingface.co/aosaf/roberta-bias
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_fake_news_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_fake_news_en.md
new file mode 100644
index 000000000000..a2d6b9ccf35a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_fake_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_fake_news RoBertaForSequenceClassification from ghanashyamvtatti
+author: John Snow Labs
+name: roberta_fake_news
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_fake_news` is a English model originally trained by ghanashyamvtatti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_fake_news_en_5.2.0_3.0_1701346619145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_fake_news_en_5.2.0_3.0_1701346619145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_fake_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|459.1 MB|
+
+## References
+
+https://huggingface.co/ghanashyamvtatti/roberta-fake-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_fine_tuned_sentiment_sst3_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_fine_tuned_sentiment_sst3_en.md
new file mode 100644
index 000000000000..2293f994efd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_fine_tuned_sentiment_sst3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_fine_tuned_sentiment_sst3 RoBertaForSequenceClassification from RogerKam
+author: John Snow Labs
+name: roberta_fine_tuned_sentiment_sst3
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_fine_tuned_sentiment_sst3` is a English model originally trained by RogerKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_fine_tuned_sentiment_sst3_en_5.2.0_3.0_1701349228823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_fine_tuned_sentiment_sst3_en_5.2.0_3.0_1701349228823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_fine_tuned_sentiment_sst3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.8 MB|
+
+## References
+
+https://huggingface.co/RogerKam/roberta_fine_tuned_sentiment_sst3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_finetuned_cpv_spanish_mnavas_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_finetuned_cpv_spanish_mnavas_en.md
new file mode 100644
index 000000000000..5e64aad9fb12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_finetuned_cpv_spanish_mnavas_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_finetuned_cpv_spanish_mnavas RoBertaForSequenceClassification from mnavas
+author: John Snow Labs
+name: roberta_finetuned_cpv_spanish_mnavas
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_cpv_spanish_mnavas` is a English model originally trained by mnavas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_cpv_spanish_mnavas_en_5.2.0_3.0_1701384485121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_cpv_spanish_mnavas_en_5.2.0_3.0_1701384485121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_cpv_spanish_mnavas|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|455.6 MB|
+
+## References
+
+https://huggingface.co/mnavas/roberta-finetuned-CPV_Spanish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_action_context_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_action_context_en.md
new file mode 100644
index 000000000000..8ab03d61dbf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_action_context_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_action_context RoBertaForSequenceClassification from moralstories
+author: John Snow Labs
+name: roberta_large_action_context
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_action_context` is a English model originally trained by moralstories.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_action_context_en_5.2.0_3.0_1701347458679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_action_context_en_5.2.0_3.0_1701347458679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_action_context|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/moralstories/roberta-large_action-context
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_argugpt_sent_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_argugpt_sent_en.md
new file mode 100644
index 000000000000..606a58719fe5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_argugpt_sent_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_argugpt_sent RoBertaForSequenceClassification from SJTU-CL
+author: John Snow Labs
+name: roberta_large_argugpt_sent
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_argugpt_sent` is a English model originally trained by SJTU-CL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_argugpt_sent_en_5.2.0_3.0_1701350966110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_argugpt_sent_en_5.2.0_3.0_1701350966110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_catalan_v2_massive|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ca|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/projecte-aina/roberta-large-ca-v2-massive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_cola_howey_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_cola_howey_en.md
new file mode 100644
index 000000000000..bbfd8c738c22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_cola_howey_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_cola_howey RoBertaForSequenceClassification from howey
+author: John Snow Labs
+name: roberta_large_cola_howey
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_cola_howey` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_cola_howey_en_5.2.0_3.0_1701352967174.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_cola_howey_en_5.2.0_3.0_1701352967174.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_cola_howey|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/howey/roberta-large-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_financial_news_topics_english_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_financial_news_topics_english_en.md
new file mode 100644
index 000000000000..843b7b037194
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_financial_news_topics_english_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_financial_news_topics_english RoBertaForSequenceClassification from Jean-Baptiste
+author: John Snow Labs
+name: roberta_large_financial_news_topics_english
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_financial_news_topics_english` is a English model originally trained by Jean-Baptiste.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_financial_news_topics_english_en_5.2.0_3.0_1701350486318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_financial_news_topics_english_en_5.2.0_3.0_1701350486318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_financial_news_topics_english|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Jean-Baptiste/roberta-large-financial-news-topics-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_go_emotions_2_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_go_emotions_2_en.md
new file mode 100644
index 000000000000..e1aa15844c1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_go_emotions_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_go_emotions_2 RoBertaForSequenceClassification from tasinhoque
+author: John Snow Labs
+name: roberta_large_go_emotions_2
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_go_emotions_2` is a English model originally trained by tasinhoque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_go_emotions_2_en_5.2.0_3.0_1701349707001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_go_emotions_2_en_5.2.0_3.0_1701349707001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_go_emotions_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tasinhoque/roberta-large-go-emotions-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_lora_token_classification_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_lora_token_classification_en.md
new file mode 100644
index 000000000000..486ac27eb4ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_lora_token_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_lora_token_classification RoBertaForSequenceClassification from szerinted
+author: John Snow Labs
+name: roberta_large_lora_token_classification
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_lora_token_classification` is a English model originally trained by szerinted.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_lora_token_classification_en_5.2.0_3.0_1701352579582.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_lora_token_classification_en_5.2.0_3.0_1701352579582.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_lora_token_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|846.4 MB|
+
+## References
+
+https://huggingface.co/szerinted/roberta-large-lora-token-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_mrpc_howey_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_mrpc_howey_en.md
new file mode 100644
index 000000000000..3879b3ab8f4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_mrpc_howey_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_mrpc_howey RoBertaForSequenceClassification from howey
+author: John Snow Labs
+name: roberta_large_mrpc_howey
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_mrpc_howey` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_mrpc_howey_en_5.2.0_3.0_1701347659360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_mrpc_howey_en_5.2.0_3.0_1701347659360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_mrpc_howey|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/howey/roberta-large-mrpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_qqp_howey_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_qqp_howey_en.md
new file mode 100644
index 000000000000..41a505220f43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_qqp_howey_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_qqp_howey RoBertaForSequenceClassification from howey
+author: John Snow Labs
+name: roberta_large_qqp_howey
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_qqp_howey` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_qqp_howey_en_5.2.0_3.0_1701348308735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_qqp_howey_en_5.2.0_3.0_1701348308735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_qqp_howey|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/howey/roberta-large-qqp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_question_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_question_classifier_en.md
new file mode 100644
index 000000000000..7799782110ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_question_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_question_classifier RoBertaForSequenceClassification from jantrienes
+author: John Snow Labs
+name: roberta_large_question_classifier
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_question_classifier` is a English model originally trained by jantrienes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_question_classifier_en_5.2.0_3.0_1701349376626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_question_classifier_en_5.2.0_3.0_1701349376626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_question_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/jantrienes/roberta-large-question-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_rte_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_rte_en.md
new file mode 100644
index 000000000000..7fbc23393362
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_rte_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_rte RoBertaForSequenceClassification from howey
+author: John Snow Labs
+name: roberta_large_rte
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_rte` is a English model originally trained by howey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_rte_en_5.2.0_3.0_1701347091612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_rte_en_5.2.0_3.0_1701347091612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_rte|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/howey/roberta-large-rte
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_squad_classification_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_squad_classification_en.md
new file mode 100644
index 000000000000..fffced7d4d9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_squad_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_squad_classification RoBertaForSequenceClassification from aware-ai
+author: John Snow Labs
+name: roberta_large_squad_classification
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_squad_classification` is a English model originally trained by aware-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_squad_classification_en_5.2.0_3.0_1701348540009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_squad_classification_en_5.2.0_3.0_1701348540009.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_squad_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|845.8 MB|
+
+## References
+
+https://huggingface.co/aware-ai/roberta-large-squad-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_sst_2_64_13_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_sst_2_64_13_en.md
new file mode 100644
index 000000000000..c13a1c443c14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_sst_2_64_13_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_sst_2_64_13 RoBertaForSequenceClassification from simonycl
+author: John Snow Labs
+name: roberta_large_sst_2_64_13
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_sst_2_64_13` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_sst_2_64_13_en_5.2.0_3.0_1701353583491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_sst_2_64_13_en_5.2.0_3.0_1701353583491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_sst_2_64_13|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/simonycl/roberta-large-sst-2-64-13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_sts_b_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_sts_b_en.md
new file mode 100644
index 000000000000..ea3ffae3ad05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_sts_b_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_sts_b RoBertaForSequenceClassification from SparkBeyond
+author: John Snow Labs
+name: roberta_large_sts_b
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_sts_b` is a English model originally trained by SparkBeyond.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_sts_b_en_5.2.0_3.0_1701386785089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_sts_b_en_5.2.0_3.0_1701386785089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_sts_b|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/SparkBeyond/roberta-large-sts-b
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_tweet_topic_multi_all_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_tweet_topic_multi_all_en.md
new file mode 100644
index 000000000000..0b1c11acafcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_tweet_topic_multi_all_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_tweet_topic_multi_all RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_large_tweet_topic_multi_all
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_tweet_topic_multi_all` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_tweet_topic_multi_all_en_5.2.0_3.0_1701350235190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_tweet_topic_multi_all_en_5.2.0_3.0_1701350235190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_tweet_topic_multi_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/cardiffnlp/roberta-large-tweet-topic-multi-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_vira_intents_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_vira_intents_en.md
new file mode 100644
index 000000000000..dfda6e91bb6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_vira_intents_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_vira_intents RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: roberta_large_vira_intents
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_vira_intents` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_vira_intents_en_5.2.0_3.0_1701351358901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_vira_intents_en_5.2.0_3.0_1701351358901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_vira_intents|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ibm/roberta-large-vira-intents
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_vira_intents_mod_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_vira_intents_mod_en.md
new file mode 100644
index 000000000000..e06b50830d6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_vira_intents_mod_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_vira_intents_mod RoBertaForSequenceClassification from vira-chatbot
+author: John Snow Labs
+name: roberta_large_vira_intents_mod
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_vira_intents_mod` is a English model originally trained by vira-chatbot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_vira_intents_mod_en_5.2.0_3.0_1701348088180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_vira_intents_mod_en_5.2.0_3.0_1701348088180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_vira_intents_mod|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/vira-chatbot/roberta-large-vira-intents-mod
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_large_vira_intents_mod_gpt4_data_aug_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_vira_intents_mod_gpt4_data_aug_en.md
new file mode 100644
index 000000000000..58b67c27fd81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_large_vira_intents_mod_gpt4_data_aug_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_vira_intents_mod_gpt4_data_aug RoBertaForSequenceClassification from vira-chatbot
+author: John Snow Labs
+name: roberta_large_vira_intents_mod_gpt4_data_aug
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_vira_intents_mod_gpt4_data_aug` is a English model originally trained by vira-chatbot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_vira_intents_mod_gpt4_data_aug_en_5.2.0_3.0_1701354004993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_vira_intents_mod_gpt4_data_aug_en_5.2.0_3.0_1701354004993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_vira_intents_mod_gpt4_data_aug|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/vira-chatbot/roberta-large-vira-intents-mod-gpt4-data-aug
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_news_duplicates_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_news_duplicates_en.md
new file mode 100644
index 000000000000..667c20b78da0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_news_duplicates_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_news_duplicates RoBertaForSequenceClassification from vslaykovsky
+author: John Snow Labs
+name: roberta_news_duplicates
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_news_duplicates` is a English model originally trained by vslaykovsky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_news_duplicates_en_5.2.0_3.0_1701352082127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_news_duplicates_en_5.2.0_3.0_1701352082127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_news_duplicates|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|462.9 MB|
+
+## References
+
+https://huggingface.co/vslaykovsky/roberta-news-duplicates
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_nrc_anger_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_nrc_anger_en.md
new file mode 100644
index 000000000000..befa9daa40fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_nrc_anger_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_nrc_anger RoBertaForSequenceClassification from neal49
+author: John Snow Labs
+name: roberta_nrc_anger
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_nrc_anger` is a English model originally trained by neal49.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_nrc_anger_en_5.2.0_3.0_1701359494303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_nrc_anger_en_5.2.0_3.0_1701359494303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_nrc_anger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.6 MB|
+
+## References
+
+https://huggingface.co/neal49/roberta-nrc-anger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_sentiment_classifier_vinal_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_sentiment_classifier_vinal_en.md
new file mode 100644
index 000000000000..aacb6cd93566
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-roberta_sentiment_classifier_vinal_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_sentiment_classifier_vinal RoBertaForSequenceClassification from VINAL
+author: John Snow Labs
+name: roberta_sentiment_classifier_vinal
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_sentiment_classifier_vinal` is a English model originally trained by VINAL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_sentiment_classifier_vinal_en_5.2.0_3.0_1701361164675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_sentiment_classifier_vinal_en_5.2.0_3.0_1701361164675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_sentiment_classifier_vinal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.2 MB|
+
+## References
+
+https://huggingface.co/VINAL/Roberta-Sentiment-Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-roberta_spanish_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-30-roberta_spanish_sentiment_en.md
new file mode 100644
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+---
+layout: model
+title: English roberta_spanish_sentiment RoBertaForSequenceClassification from pysentimiento
+author: John Snow Labs
+name: roberta_spanish_sentiment
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_spanish_sentiment` is a English model originally trained by pysentimiento.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_spanish_sentiment_en_5.2.0_3.0_1701348521613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_spanish_sentiment_en_5.2.0_3.0_1701348521613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_swahili_news_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|sw|
+|Size:|394.7 MB|
+
+## References
+
+https://huggingface.co/flax-community/roberta-swahili-news-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-robertuito_check_worthy_classifier_en.md b/docs/_posts/ahmedlone127/2023-11-30-robertuito_check_worthy_classifier_en.md
new file mode 100644
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+++ b/docs/_posts/ahmedlone127/2023-11-30-robertuito_check_worthy_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English robertuito_check_worthy_classifier RoBertaForSequenceClassification from Zamoranesis
+author: John Snow Labs
+name: robertuito_check_worthy_classifier
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertuito_check_worthy_classifier` is a English model originally trained by Zamoranesis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertuito_check_worthy_classifier_en_5.2.0_3.0_1701371128824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertuito_check_worthy_classifier_en_5.2.0_3.0_1701371128824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertuito_check_worthy_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/Zamoranesis/Robertuito-check-worthy-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-ruroberta_large_classification_v0_1_en.md b/docs/_posts/ahmedlone127/2023-11-30-ruroberta_large_classification_v0_1_en.md
new file mode 100644
index 000000000000..289c81d575b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-ruroberta_large_classification_v0_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ruroberta_large_classification_v0_1 RoBertaForSequenceClassification from Data-Lab
+author: John Snow Labs
+name: ruroberta_large_classification_v0_1
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ruroberta_large_classification_v0_1` is a English model originally trained by Data-Lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruroberta_large_classification_v0_1_en_5.2.0_3.0_1701348991491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruroberta_large_classification_v0_1_en_5.2.0_3.0_1701348991491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruroberta_large_paraphrase_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/s-nlp/ruRoberta-large-paraphrase-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-ruroberta_russian_rusentitweet_en.md b/docs/_posts/ahmedlone127/2023-11-30-ruroberta_russian_rusentitweet_en.md
new file mode 100644
index 000000000000..8ad05e5383b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-ruroberta_russian_rusentitweet_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ruroberta_russian_rusentitweet RoBertaForSequenceClassification from sismetanin
+author: John Snow Labs
+name: ruroberta_russian_rusentitweet
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ruroberta_russian_rusentitweet` is a English model originally trained by sismetanin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruroberta_russian_rusentitweet_en_5.2.0_3.0_1701351986978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruroberta_russian_rusentitweet_en_5.2.0_3.0_1701351986978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruroberta_russian_rusentitweet|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/sismetanin/ruroberta-ru-rusentitweet
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-sarcasm_detection_roberta_base_pos_en.md b/docs/_posts/ahmedlone127/2023-11-30-sarcasm_detection_roberta_base_pos_en.md
new file mode 100644
index 000000000000..ce9ee64f6c1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-sarcasm_detection_roberta_base_pos_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sarcasm_detection_roberta_base_pos RoBertaForSequenceClassification from jkhan447
+author: John Snow Labs
+name: sarcasm_detection_roberta_base_pos
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sarcasm_detection_roberta_base_pos` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarcasm_detection_roberta_base_pos_en_5.2.0_3.0_1701351413068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarcasm_detection_roberta_base_pos_en_5.2.0_3.0_1701351413068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sarcasm_detection_roberta_base_pos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.4 MB|
+
+## References
+
+https://huggingface.co/jkhan447/sarcasm-detection-RoBerta-base-POS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-securebert_en.md b/docs/_posts/ahmedlone127/2023-11-30-securebert_en.md
new file mode 100644
index 000000000000..20e56b120f88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-securebert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English securebert RoBertaForSequenceClassification from ltkw98
+author: John Snow Labs
+name: securebert
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`securebert` is a English model originally trained by ltkw98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/securebert_en_5.2.0_3.0_1701352844931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/securebert_en_5.2.0_3.0_1701352844931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|securebert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/ltkw98/SecureBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-sentiment140_roberta_5e_en.md b/docs/_posts/ahmedlone127/2023-11-30-sentiment140_roberta_5e_en.md
new file mode 100644
index 000000000000..5f0bf36dfa6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-sentiment140_roberta_5e_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment140_roberta_5e RoBertaForSequenceClassification from pig4431
+author: John Snow Labs
+name: sentiment140_roberta_5e
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment140_roberta_5e` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment140_roberta_5e_en_5.2.0_3.0_1701349255463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment140_roberta_5e_en_5.2.0_3.0_1701349255463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment140_roberta_5e|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.5 MB|
+
+## References
+
+https://huggingface.co/pig4431/Sentiment140_roBERTa_5E
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-sentiment_analysis_gr8testgad_1_en.md b/docs/_posts/ahmedlone127/2023-11-30-sentiment_analysis_gr8testgad_1_en.md
new file mode 100644
index 000000000000..04259488863c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-sentiment_analysis_gr8testgad_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_gr8testgad_1 RoBertaForSequenceClassification from gr8testgad-1
+author: John Snow Labs
+name: sentiment_analysis_gr8testgad_1
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_gr8testgad_1` is a English model originally trained by gr8testgad-1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_gr8testgad_1_en_5.2.0_3.0_1701353752639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_gr8testgad_1_en_5.2.0_3.0_1701353752639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_gr8testgad_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.2 MB|
+
+## References
+
+https://huggingface.co/gr8testgad-1/sentiment_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-sentiment_analysis_priyabrat_en.md b/docs/_posts/ahmedlone127/2023-11-30-sentiment_analysis_priyabrat_en.md
new file mode 100644
index 000000000000..8eef2e5ab1d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-sentiment_analysis_priyabrat_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_priyabrat RoBertaForSequenceClassification from priyabrat
+author: John Snow Labs
+name: sentiment_analysis_priyabrat
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_priyabrat` is a English model originally trained by priyabrat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_priyabrat_en_5.2.0_3.0_1701352538414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_priyabrat_en_5.2.0_3.0_1701352538414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_priyabrat|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/priyabrat/sentiment_analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-sentiment_analysis_using_steam_data_en.md b/docs/_posts/ahmedlone127/2023-11-30-sentiment_analysis_using_steam_data_en.md
new file mode 100644
index 000000000000..8ab1557d6650
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-sentiment_analysis_using_steam_data_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_using_steam_data RoBertaForSequenceClassification from PJHinAI
+author: John Snow Labs
+name: sentiment_analysis_using_steam_data
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_using_steam_data` is a English model originally trained by PJHinAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_using_steam_data_en_5.2.0_3.0_1701384269520.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_using_steam_data_en_5.2.0_3.0_1701384269520.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_using_steam_data|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.7 MB|
+
+## References
+
+https://huggingface.co/PJHinAI/sentiment-analysis-using-steam-data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-sentiment_classfication_roberta_model_en.md b/docs/_posts/ahmedlone127/2023-11-30-sentiment_classfication_roberta_model_en.md
new file mode 100644
index 000000000000..27d87936278c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-sentiment_classfication_roberta_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_classfication_roberta_model RoBertaForSequenceClassification from aaronayitey
+author: John Snow Labs
+name: sentiment_classfication_roberta_model
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_classfication_roberta_model` is a English model originally trained by aaronayitey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_classfication_roberta_model_en_5.2.0_3.0_1701349926352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_classfication_roberta_model_en_5.2.0_3.0_1701349926352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_hts2_xlm_roberta_hungarian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|hu|
+|Size:|249.0 MB|
+
+## References
+
+https://huggingface.co/NYTK/sentiment-hts2-xlm-roberta-hungarian
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-sentiment_review_analysis_roberta_3_en.md b/docs/_posts/ahmedlone127/2023-11-30-sentiment_review_analysis_roberta_3_en.md
new file mode 100644
index 000000000000..8b48ed1b1f95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-sentiment_review_analysis_roberta_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_review_analysis_roberta_3 RoBertaForSequenceClassification from gyesibiney
+author: John Snow Labs
+name: sentiment_review_analysis_roberta_3
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_review_analysis_roberta_3` is a English model originally trained by gyesibiney.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_review_analysis_roberta_3_en_5.2.0_3.0_1701346294268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_review_analysis_roberta_3_en_5.2.0_3.0_1701346294268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_review_analysis_roberta_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|453.8 MB|
+
+## References
+
+https://huggingface.co/gyesibiney/Sentiment-review-analysis-roberta-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-sentiment_roberta_indonesian_id.md b/docs/_posts/ahmedlone127/2023-11-30-sentiment_roberta_indonesian_id.md
new file mode 100644
index 000000000000..2e11e83d369b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-sentiment_roberta_indonesian_id.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Indonesian sentiment_roberta_indonesian RoBertaForSequenceClassification from arifagustyawan
+author: John Snow Labs
+name: sentiment_roberta_indonesian
+date: 2023-11-30
+tags: [roberta, id, open_source, sequence_classification, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_roberta_indonesian` is a Indonesian model originally trained by arifagustyawan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_roberta_indonesian_id_5.2.0_3.0_1701366421087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_roberta_indonesian_id_5.2.0_3.0_1701366421087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_roberta_indonesian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|467.6 MB|
+
+## References
+
+https://huggingface.co/arifagustyawan/sentiment-roberta-id
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-simantic_similarity_en.md b/docs/_posts/ahmedlone127/2023-11-30-simantic_similarity_en.md
new file mode 100644
index 000000000000..9cfc1a960e53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-simantic_similarity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English simantic_similarity RoBertaForSequenceClassification from aosaf
+author: John Snow Labs
+name: simantic_similarity
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`simantic_similarity` is a English model originally trained by aosaf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/simantic_similarity_en_5.2.0_3.0_1701350710295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/simantic_similarity_en_5.2.0_3.0_1701350710295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|simantic_similarity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|441.2 MB|
+
+## References
+
+https://huggingface.co/aosaf/simantic-similarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-socroberta_social_en.md b/docs/_posts/ahmedlone127/2023-11-30-socroberta_social_en.md
new file mode 100644
index 000000000000..6d5f28a6ed34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-socroberta_social_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English socroberta_social RoBertaForSequenceClassification from ESGBERT
+author: John Snow Labs
+name: socroberta_social
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`socroberta_social` is a English model originally trained by ESGBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/socroberta_social_en_5.2.0_3.0_1701353784315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/socroberta_social_en_5.2.0_3.0_1701353784315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|socroberta_social|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/ESGBERT/SocRoBERTa-social
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-stackoverflow_roberta_base_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-30-stackoverflow_roberta_base_sentiment_en.md
new file mode 100644
index 000000000000..f74390ac6e2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-stackoverflow_roberta_base_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English stackoverflow_roberta_base_sentiment RoBertaForSequenceClassification from Cloudy1225
+author: John Snow Labs
+name: stackoverflow_roberta_base_sentiment
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stackoverflow_roberta_base_sentiment` is a English model originally trained by Cloudy1225.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stackoverflow_roberta_base_sentiment_en_5.2.0_3.0_1701351635756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stackoverflow_roberta_base_sentiment_en_5.2.0_3.0_1701351635756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stackoverflow_roberta_base_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/Cloudy1225/stackoverflow-roberta-base-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-tda_roberta_large_english_cola_en.md b/docs/_posts/ahmedlone127/2023-11-30-tda_roberta_large_english_cola_en.md
new file mode 100644
index 000000000000..d5bf8267657d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-tda_roberta_large_english_cola_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tda_roberta_large_english_cola RoBertaForSequenceClassification from iproskurina
+author: John Snow Labs
+name: tda_roberta_large_english_cola
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tda_roberta_large_english_cola` is a English model originally trained by iproskurina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tda_roberta_large_english_cola_en_5.2.0_3.0_1701352839473.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tda_roberta_large_english_cola_en_5.2.0_3.0_1701352839473.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tda_ruroberta_large_russian_cola|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/iproskurina/tda-ruroberta-large-ru-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-te_for_event_extraction_en.md b/docs/_posts/ahmedlone127/2023-11-30-te_for_event_extraction_en.md
new file mode 100644
index 000000000000..869a0147272f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-te_for_event_extraction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English te_for_event_extraction RoBertaForSequenceClassification from veronica320
+author: John Snow Labs
+name: te_for_event_extraction
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`te_for_event_extraction` is a English model originally trained by veronica320.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/te_for_event_extraction_en_5.2.0_3.0_1701348165259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/te_for_event_extraction_en_5.2.0_3.0_1701348165259.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|te_for_event_extraction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/veronica320/TE-for-Event-Extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-techdebtclassifier_en.md b/docs/_posts/ahmedlone127/2023-11-30-techdebtclassifier_en.md
new file mode 100644
index 000000000000..73c3f0c43b2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-techdebtclassifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English techdebtclassifier RoBertaForSequenceClassification from davidgaofc
+author: John Snow Labs
+name: techdebtclassifier
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`techdebtclassifier` is a English model originally trained by davidgaofc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/techdebtclassifier_en_5.2.0_3.0_1701347255486.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/techdebtclassifier_en_5.2.0_3.0_1701347255486.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|techdebtclassifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|314.0 MB|
+
+## References
+
+https://huggingface.co/davidgaofc/TechDebtClassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-test_trainer_qwekuaryee_en.md b/docs/_posts/ahmedlone127/2023-11-30-test_trainer_qwekuaryee_en.md
new file mode 100644
index 000000000000..103b0be8b015
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-test_trainer_qwekuaryee_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English test_trainer_qwekuaryee RoBertaForSequenceClassification from qwekuaryee
+author: John Snow Labs
+name: test_trainer_qwekuaryee
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer_qwekuaryee` is a English model originally trained by qwekuaryee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_qwekuaryee_en_5.2.0_3.0_1701362905041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_qwekuaryee_en_5.2.0_3.0_1701362905041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_qwekuaryee|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.3 MB|
+
+## References
+
+https://huggingface.co/qwekuaryee/test_trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-text_classification_goemotions_en.md b/docs/_posts/ahmedlone127/2023-11-30-text_classification_goemotions_en.md
new file mode 100644
index 000000000000..70cd44ce6af8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-text_classification_goemotions_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English text_classification_goemotions RoBertaForSequenceClassification from tasinhoque
+author: John Snow Labs
+name: text_classification_goemotions
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_goemotions` is a English model originally trained by tasinhoque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_goemotions_en_5.2.0_3.0_1701346449751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_goemotions_en_5.2.0_3.0_1701346449751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_goemotions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tasinhoque/text-classification-goemotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-text_message_analyzer_finetuned_en.md b/docs/_posts/ahmedlone127/2023-11-30-text_message_analyzer_finetuned_en.md
new file mode 100644
index 000000000000..721ec4cc08e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-text_message_analyzer_finetuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English text_message_analyzer_finetuned RoBertaForSequenceClassification from matchten
+author: John Snow Labs
+name: text_message_analyzer_finetuned
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_message_analyzer_finetuned` is a English model originally trained by matchten.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_message_analyzer_finetuned_en_5.2.0_3.0_1701348993804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_message_analyzer_finetuned_en_5.2.0_3.0_1701348993804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_message_analyzer_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/matchten/text-message-analyzer-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-textattack_roberta_base_mnli_e_snli_classification_nli_base_en.md b/docs/_posts/ahmedlone127/2023-11-30-textattack_roberta_base_mnli_e_snli_classification_nli_base_en.md
new file mode 100644
index 000000000000..f71bea13a92e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-textattack_roberta_base_mnli_e_snli_classification_nli_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English textattack_roberta_base_mnli_e_snli_classification_nli_base RoBertaForSequenceClassification from k4black
+author: John Snow Labs
+name: textattack_roberta_base_mnli_e_snli_classification_nli_base
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`textattack_roberta_base_mnli_e_snli_classification_nli_base` is a English model originally trained by k4black.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/textattack_roberta_base_mnli_e_snli_classification_nli_base_en_5.2.0_3.0_1701350608073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/textattack_roberta_base_mnli_e_snli_classification_nli_base_en_5.2.0_3.0_1701350608073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|textattack_roberta_base_mnli_e_snli_classification_nli_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|463.4 MB|
+
+## References
+
+https://huggingface.co/k4black/textattack-roberta-base-MNLI-e-snli-classification-nli-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-title_classification_en.md b/docs/_posts/ahmedlone127/2023-11-30-title_classification_en.md
new file mode 100644
index 000000000000..a9c0cfc173d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-title_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English title_classification RoBertaForSequenceClassification from shaoyuyoung
+author: John Snow Labs
+name: title_classification
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`title_classification` is a English model originally trained by shaoyuyoung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/title_classification_en_5.2.0_3.0_1701360666841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/title_classification_en_5.2.0_3.0_1701360666841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|title_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.0 MB|
+
+## References
+
+https://huggingface.co/shaoyuyoung/Title-Classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-toxic_speech_detector_en.md b/docs/_posts/ahmedlone127/2023-11-30-toxic_speech_detector_en.md
new file mode 100644
index 000000000000..6354fd283e54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-toxic_speech_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English toxic_speech_detector RoBertaForSequenceClassification from rb05751
+author: John Snow Labs
+name: toxic_speech_detector
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_speech_detector` is a English model originally trained by rb05751.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_speech_detector_en_5.2.0_3.0_1701375099476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_speech_detector_en_5.2.0_3.0_1701375099476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_speech_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|461.7 MB|
+
+## References
+
+https://huggingface.co/rb05751/toxic_speech_detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-traceclassifier_en.md b/docs/_posts/ahmedlone127/2023-11-30-traceclassifier_en.md
new file mode 100644
index 000000000000..d7e81f9327c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-traceclassifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English traceclassifier RoBertaForSequenceClassification from icelab
+author: John Snow Labs
+name: traceclassifier
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`traceclassifier` is a English model originally trained by icelab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/traceclassifier_en_5.2.0_3.0_1701368650521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/traceclassifier_en_5.2.0_3.0_1701368650521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|traceclassifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/icelab/TraceClassifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-transformationtransformer_en.md b/docs/_posts/ahmedlone127/2023-11-30-transformationtransformer_en.md
new file mode 100644
index 000000000000..cab45f512074
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-transformationtransformer_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English transformationtransformer RoBertaForSequenceClassification from simonschoe
+author: John Snow Labs
+name: transformationtransformer
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`transformationtransformer` is a English model originally trained by simonschoe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transformationtransformer_en_5.2.0_3.0_1701351992803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transformationtransformer_en_5.2.0_3.0_1701351992803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transformationtransformer|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|441.1 MB|
+
+## References
+
+https://huggingface.co/simonschoe/TransformationTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-truefoundary_sentimental_roberta_en.md b/docs/_posts/ahmedlone127/2023-11-30-truefoundary_sentimental_roberta_en.md
new file mode 100644
index 000000000000..cdb37b9093ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-truefoundary_sentimental_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English truefoundary_sentimental_roberta RoBertaForSequenceClassification from velvrix
+author: John Snow Labs
+name: truefoundary_sentimental_roberta
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`truefoundary_sentimental_roberta` is a English model originally trained by velvrix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/truefoundary_sentimental_roberta_en_5.2.0_3.0_1701384917892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/truefoundary_sentimental_roberta_en_5.2.0_3.0_1701384917892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|truefoundary_sentimental_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.9 MB|
+
+## References
+
+https://huggingface.co/velvrix/truefoundary_sentimental_RoBERTa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-tweet_topic_latest_single_en.md b/docs/_posts/ahmedlone127/2023-11-30-tweet_topic_latest_single_en.md
new file mode 100644
index 000000000000..b90a2563dff7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-tweet_topic_latest_single_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tweet_topic_latest_single RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: tweet_topic_latest_single
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_topic_latest_single` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_topic_latest_single_en_5.2.0_3.0_1701375099192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_topic_latest_single_en_5.2.0_3.0_1701375099192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweet_topic_latest_single|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/tweet-topic-latest-single
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_finetuned_model_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_finetuned_model_en.md
new file mode 100644
index 000000000000..b768fdcf0f31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_finetuned_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_finetuned_model RoBertaForSequenceClassification from MaryanneMuchai
+author: John Snow Labs
+name: twitter_finetuned_model
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_finetuned_model` is a English model originally trained by MaryanneMuchai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_finetuned_model_en_5.2.0_3.0_1701348763313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_finetuned_model_en_5.2.0_3.0_1701348763313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_finetuned_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.3 MB|
+
+## References
+
+https://huggingface.co/MaryanneMuchai/twitter-finetuned-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_2021_124m_emotion_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_2021_124m_emotion_en.md
new file mode 100644
index 000000000000..8ea2a90ef2b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_2021_124m_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_2021_124m_emotion RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_2021_124m_emotion
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_2021_124m_emotion` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_emotion_en_5.2.0_3.0_1701386556013.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_emotion_en_5.2.0_3.0_1701386556013.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_2021_124m_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_2021_124m_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_2021_124m_sentiment_en.md
new file mode 100644
index 000000000000..1eaa5f977cbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_2021_124m_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_2021_124m_sentiment RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_2021_124m_sentiment
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_2021_124m_sentiment` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_sentiment_en_5.2.0_3.0_1701350662611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_sentiment_en_5.2.0_3.0_1701350662611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_2021_124m_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_dec2021_emoji_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_dec2021_emoji_en.md
new file mode 100644
index 000000000000..f89211d73512
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_dec2021_emoji_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_emoji RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_emoji
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2021_emoji` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_emoji_en_5.2.0_3.0_1701349321234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_emoji_en_5.2.0_3.0_1701349321234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2021_emoji|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021-emoji
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_dec2021_sentiment_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_dec2021_sentiment_en.md
new file mode 100644
index 000000000000..0e2879237a15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_dec2021_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_sentiment RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_sentiment
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2021_sentiment` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_sentiment_en_5.2.0_3.0_1701347892528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_sentiment_en_5.2.0_3.0_1701347892528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2021_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_dec2021_tweet_topic_single_all_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_dec2021_tweet_topic_single_all_en.md
new file mode 100644
index 000000000000..f737c40cb4d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_dec2021_tweet_topic_single_all_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_tweet_topic_single_all RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_tweet_topic_single_all
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2021_tweet_topic_single_all` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_tweet_topic_single_all_en_5.2.0_3.0_1701346138271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_tweet_topic_single_all_en_5.2.0_3.0_1701346138271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2021_tweet_topic_single_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021-tweet-topic-single-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_fear_intensity_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_fear_intensity_en.md
new file mode 100644
index 000000000000..6fb9c6002540
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_fear_intensity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_fear_intensity RoBertaForSequenceClassification from garrettbaber
+author: John Snow Labs
+name: twitter_roberta_base_fear_intensity
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_fear_intensity` is a English model originally trained by garrettbaber.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_fear_intensity_en_5.2.0_3.0_1701370487607.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_fear_intensity_en_5.2.0_3.0_1701370487607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_fear_intensity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/garrettbaber/twitter-roberta-base-fear-intensity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_sentiment_latest_kapiche_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_sentiment_latest_kapiche_en.md
new file mode 100644
index 000000000000..b3874f92958d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_sentiment_latest_kapiche_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_sentiment_latest_kapiche RoBertaForSequenceClassification from Kapiche
+author: John Snow Labs
+name: twitter_roberta_base_sentiment_latest_kapiche
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_sentiment_latest_kapiche` is a English model originally trained by Kapiche.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_latest_kapiche_en_5.2.0_3.0_1701346725987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_latest_kapiche_en_5.2.0_3.0_1701346725987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_sentiment_latest_kapiche|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Kapiche/twitter-roberta-base-sentiment-latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_sentimental_analysis_of_covid_tweets_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_sentimental_analysis_of_covid_tweets_en.md
new file mode 100644
index 000000000000..b71b1e4a99e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_sentimental_analysis_of_covid_tweets_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_sentimental_analysis_of_covid_tweets RoBertaForSequenceClassification from Sonny4Sonnix
+author: John Snow Labs
+name: twitter_roberta_base_sentimental_analysis_of_covid_tweets
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_sentimental_analysis_of_covid_tweets` is a English model originally trained by Sonny4Sonnix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentimental_analysis_of_covid_tweets_en_5.2.0_3.0_1701383998268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentimental_analysis_of_covid_tweets_en_5.2.0_3.0_1701383998268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_sentimental_analysis_of_covid_tweets|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/Sonny4Sonnix/twitter-roberta-base-sentimental-analysis-of-covid-tweets
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_stance_climate_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_stance_climate_en.md
new file mode 100644
index 000000000000..9646d0ccc4d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_base_stance_climate_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_stance_climate RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_stance_climate
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_stance_climate` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_stance_climate_en_5.2.0_3.0_1701351414018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_stance_climate_en_5.2.0_3.0_1701351414018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_stance_climate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-stance-climate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_sentiment_model_en.md
new file mode 100644
index 000000000000..107abdcfba2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_roberta_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_sentiment_model RoBertaForSequenceClassification from Faith-theAnalyst
+author: John Snow Labs
+name: twitter_roberta_sentiment_model
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_sentiment_model` is a English model originally trained by Faith-theAnalyst.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_sentiment_model_en_5.2.0_3.0_1701350175745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_sentiment_model_en_5.2.0_3.0_1701350175745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_sentiment_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Faith-theAnalyst/twitter_roberta_sentiment_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-twitter_sexismo_finetuned_robertuito_exist2021_en.md b/docs/_posts/ahmedlone127/2023-11-30-twitter_sexismo_finetuned_robertuito_exist2021_en.md
new file mode 100644
index 000000000000..d738ca562471
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-twitter_sexismo_finetuned_robertuito_exist2021_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_sexismo_finetuned_robertuito_exist2021 RoBertaForSequenceClassification from hackathon-pln-es
+author: John Snow Labs
+name: twitter_sexismo_finetuned_robertuito_exist2021
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_sexismo_finetuned_robertuito_exist2021` is a English model originally trained by hackathon-pln-es.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_sexismo_finetuned_robertuito_exist2021_en_5.2.0_3.0_1701348361464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_sexismo_finetuned_robertuito_exist2021_en_5.2.0_3.0_1701348361464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_sexismo_finetuned_robertuito_exist2021|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/hackathon-pln-es/twitter_sexismo-finetuned-robertuito-exist2021
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-valence_english_distilroberta_base_en.md b/docs/_posts/ahmedlone127/2023-11-30-valence_english_distilroberta_base_en.md
new file mode 100644
index 000000000000..95a96782ce1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-valence_english_distilroberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English valence_english_distilroberta_base RoBertaForSequenceClassification from samueldomdey
+author: John Snow Labs
+name: valence_english_distilroberta_base
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`valence_english_distilroberta_base` is a English model originally trained by samueldomdey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/valence_english_distilroberta_base_en_5.2.0_3.0_1701352964729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/valence_english_distilroberta_base_en_5.2.0_3.0_1701352964729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|valence_english_distilroberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/samueldomdey/valence-english-distilroberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-verb_class_en.md b/docs/_posts/ahmedlone127/2023-11-30-verb_class_en.md
new file mode 100644
index 000000000000..8e510435d845
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-verb_class_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English verb_class RoBertaForSequenceClassification from silkski
+author: John Snow Labs
+name: verb_class
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`verb_class` is a English model originally trained by silkski.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/verb_class_en_5.2.0_3.0_1701353523242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/verb_class_en_5.2.0_3.0_1701353523242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|verb_class|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|417.7 MB|
+
+## References
+
+https://huggingface.co/silkski/verb-class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-vg055_roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_polaridad_en.md b/docs/_posts/ahmedlone127/2023-11-30-vg055_roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_polaridad_en.md
new file mode 100644
index 000000000000..b779ff6246c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-vg055_roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_polaridad_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English vg055_roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_polaridad RoBertaForSequenceClassification from hackathon-somos-nlp-2023
+author: John Snow Labs
+name: vg055_roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_polaridad
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vg055_roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_polaridad` is a English model originally trained by hackathon-somos-nlp-2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vg055_roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_polaridad_en_5.2.0_3.0_1701348514415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vg055_roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_polaridad_en_5.2.0_3.0_1701348514415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vg055_roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_polaridad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.4 MB|
+
+## References
+
+https://huggingface.co/hackathon-somos-nlp-2023/vg055-roberta-base-bne-finetuned-analisis-sentimiento-textos-turisticos-mx-polaridad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-11-30-yelp_roberta_5e_en.md b/docs/_posts/ahmedlone127/2023-11-30-yelp_roberta_5e_en.md
new file mode 100644
index 000000000000..10102ec4eb1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-11-30-yelp_roberta_5e_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English yelp_roberta_5e RoBertaForSequenceClassification from pig4431
+author: John Snow Labs
+name: yelp_roberta_5e
+date: 2023-11-30
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yelp_roberta_5e` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yelp_roberta_5e_en_5.2.0_3.0_1701364714470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yelp_roberta_5e_en_5.2.0_3.0_1701364714470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yelp_roberta_5e|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|455.7 MB|
+
+## References
+
+https://huggingface.co/pig4431/YELP_roBERTa_5E
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-ai_human_classification_hc3_wiki_en.md b/docs/_posts/ahmedlone127/2023-12-01-ai_human_classification_hc3_wiki_en.md
new file mode 100644
index 000000000000..878d0fb539cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-ai_human_classification_hc3_wiki_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ai_human_classification_hc3_wiki RoBertaForSequenceClassification from rajendrabaskota
+author: John Snow Labs
+name: ai_human_classification_hc3_wiki
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai_human_classification_hc3_wiki` is a English model originally trained by rajendrabaskota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai_human_classification_hc3_wiki_en_5.2.0_3.0_1701412236636.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai_human_classification_hc3_wiki_en_5.2.0_3.0_1701412236636.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ai_human_classification_hc3_wiki|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/rajendrabaskota/ai-human-classification-hc3-wiki
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-alberta_base_mnli_v1_en.md b/docs/_posts/ahmedlone127/2023-12-01-alberta_base_mnli_v1_en.md
new file mode 100644
index 000000000000..c4d4677d81da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-alberta_base_mnli_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English alberta_base_mnli_v1 RoBertaForSequenceClassification from blackbird
+author: John Snow Labs
+name: alberta_base_mnli_v1
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alberta_base_mnli_v1` is a English model originally trained by blackbird.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alberta_base_mnli_v1_en_5.2.0_3.0_1701470882041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alberta_base_mnli_v1_en_5.2.0_3.0_1701470882041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alberta_base_mnli_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|462.4 MB|
+
+## References
+
+https://huggingface.co/blackbird/alberta-base-mnli-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-all_roberta_large_v1_credit_cards_1_16_5_en.md b/docs/_posts/ahmedlone127/2023-12-01-all_roberta_large_v1_credit_cards_1_16_5_en.md
new file mode 100644
index 000000000000..8f19eddc1c23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-all_roberta_large_v1_credit_cards_1_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_credit_cards_1_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_credit_cards_1_16_5
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_credit_cards_1_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_credit_cards_1_16_5_en_5.2.0_3.0_1701419078687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_credit_cards_1_16_5_en_5.2.0_3.0_1701419078687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_credit_cards_1_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-credit_cards-1-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-all_roberta_large_v1_kitchen_and_dining_1_16_5_en.md b/docs/_posts/ahmedlone127/2023-12-01-all_roberta_large_v1_kitchen_and_dining_1_16_5_en.md
new file mode 100644
index 000000000000..5b7d3b07c0ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-all_roberta_large_v1_kitchen_and_dining_1_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_kitchen_and_dining_1_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_kitchen_and_dining_1_16_5
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_kitchen_and_dining_1_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_kitchen_and_dining_1_16_5_en_5.2.0_3.0_1701472805327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_kitchen_and_dining_1_16_5_en_5.2.0_3.0_1701472805327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_kitchen_and_dining_1_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-kitchen_and_dining-1-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-all_roberta_large_v1_small_talk_2_16_5_en.md b/docs/_posts/ahmedlone127/2023-12-01-all_roberta_large_v1_small_talk_2_16_5_en.md
new file mode 100644
index 000000000000..afd48717d8a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-all_roberta_large_v1_small_talk_2_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_small_talk_2_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_small_talk_2_16_5
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_small_talk_2_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_small_talk_2_16_5_en_5.2.0_3.0_1701450021233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_small_talk_2_16_5_en_5.2.0_3.0_1701450021233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_small_talk_2_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-small_talk-2-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-amazonpolarity_roberta_5e_en.md b/docs/_posts/ahmedlone127/2023-12-01-amazonpolarity_roberta_5e_en.md
new file mode 100644
index 000000000000..5bda59cc33ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-amazonpolarity_roberta_5e_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English amazonpolarity_roberta_5e RoBertaForSequenceClassification from pig4431
+author: John Snow Labs
+name: amazonpolarity_roberta_5e
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazonpolarity_roberta_5e` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazonpolarity_roberta_5e_en_5.2.0_3.0_1701411656189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazonpolarity_roberta_5e_en_5.2.0_3.0_1701411656189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazonpolarity_roberta_5e|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|460.5 MB|
+
+## References
+
+https://huggingface.co/pig4431/amazonPolarity_roBERTa_5E
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-analysing_socialmedia_sentiment_on_vaccines_en.md b/docs/_posts/ahmedlone127/2023-12-01-analysing_socialmedia_sentiment_on_vaccines_en.md
new file mode 100644
index 000000000000..6de5a527d388
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-analysing_socialmedia_sentiment_on_vaccines_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English analysing_socialmedia_sentiment_on_vaccines RoBertaForSequenceClassification from allevelly
+author: John Snow Labs
+name: analysing_socialmedia_sentiment_on_vaccines
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`analysing_socialmedia_sentiment_on_vaccines` is a English model originally trained by allevelly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/analysing_socialmedia_sentiment_on_vaccines_en_5.2.0_3.0_1701414213915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/analysing_socialmedia_sentiment_on_vaccines_en_5.2.0_3.0_1701414213915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|analysing_socialmedia_sentiment_on_vaccines|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/allevelly/Analysing_socialMedia_sentiment_on_vaccines
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-argument_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-01-argument_classifier_en.md
new file mode 100644
index 000000000000..3304b72365c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-argument_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English argument_classifier RoBertaForSequenceClassification from addy88
+author: John Snow Labs
+name: argument_classifier
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`argument_classifier` is a English model originally trained by addy88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/argument_classifier_en_5.2.0_3.0_1701402367183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/argument_classifier_en_5.2.0_3.0_1701402367183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|argument_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|445.3 MB|
+
+## References
+
+https://huggingface.co/addy88/argument-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-argumentmining_cat_ac_vivesdebate_en.md b/docs/_posts/ahmedlone127/2023-12-01-argumentmining_cat_ac_vivesdebate_en.md
new file mode 100644
index 000000000000..7f29b0092e9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-argumentmining_cat_ac_vivesdebate_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English argumentmining_cat_ac_vivesdebate RoBertaForSequenceClassification from raruidol
+author: John Snow Labs
+name: argumentmining_cat_ac_vivesdebate
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`argumentmining_cat_ac_vivesdebate` is a English model originally trained by raruidol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/argumentmining_cat_ac_vivesdebate_en_5.2.0_3.0_1701472229118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/argumentmining_cat_ac_vivesdebate_en_5.2.0_3.0_1701472229118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|argumentmining_cat_ac_vivesdebate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|425.0 MB|
+
+## References
+
+https://huggingface.co/raruidol/ArgumentMining-CAT-AC-VivesDebate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-article_title_pol_en.md b/docs/_posts/ahmedlone127/2023-12-01-article_title_pol_en.md
new file mode 100644
index 000000000000..2d02d82ef5b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-article_title_pol_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English article_title_pol RoBertaForSequenceClassification from helliun
+author: John Snow Labs
+name: article_title_pol
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`article_title_pol` is a English model originally trained by helliun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/article_title_pol_en_5.2.0_3.0_1701450708317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/article_title_pol_en_5.2.0_3.0_1701450708317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|article_title_pol|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/helliun/article_title_pol
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-autotrain_banking77_distilroberta_44209111546_en.md b/docs/_posts/ahmedlone127/2023-12-01-autotrain_banking77_distilroberta_44209111546_en.md
new file mode 100644
index 000000000000..369d9b1d15c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-autotrain_banking77_distilroberta_44209111546_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autotrain_banking77_distilroberta_44209111546 RoBertaForSequenceClassification from derek-thomas
+author: John Snow Labs
+name: autotrain_banking77_distilroberta_44209111546
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_banking77_distilroberta_44209111546` is a English model originally trained by derek-thomas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_banking77_distilroberta_44209111546_en_5.2.0_3.0_1701471504293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_banking77_distilroberta_44209111546_en_5.2.0_3.0_1701471504293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_banking77_distilroberta_44209111546|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/derek-thomas/autotrain-banking77-distilroberta-44209111546
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-autotrain_fake_news_fine_tuned_v4_38998102353_en.md b/docs/_posts/ahmedlone127/2023-12-01-autotrain_fake_news_fine_tuned_v4_38998102353_en.md
new file mode 100644
index 000000000000..0de049a59ac9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-autotrain_fake_news_fine_tuned_v4_38998102353_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autotrain_fake_news_fine_tuned_v4_38998102353 RoBertaForSequenceClassification from systash
+author: John Snow Labs
+name: autotrain_fake_news_fine_tuned_v4_38998102353
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_fake_news_fine_tuned_v4_38998102353` is a English model originally trained by systash.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_fake_news_fine_tuned_v4_38998102353_en_5.2.0_3.0_1701412629312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_fake_news_fine_tuned_v4_38998102353_en_5.2.0_3.0_1701412629312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_fake_news_fine_tuned_v4_38998102353|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/systash/autotrain-fake_news_fine_tuned_v4-38998102353
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-autotrain_imdb_textclassification_46471115127_en.md b/docs/_posts/ahmedlone127/2023-12-01-autotrain_imdb_textclassification_46471115127_en.md
new file mode 100644
index 000000000000..8a6007053dd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-autotrain_imdb_textclassification_46471115127_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autotrain_imdb_textclassification_46471115127 RoBertaForSequenceClassification from davis901
+author: John Snow Labs
+name: autotrain_imdb_textclassification_46471115127
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_imdb_textclassification_46471115127` is a English model originally trained by davis901.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_imdb_textclassification_46471115127_en_5.2.0_3.0_1701469516998.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_imdb_textclassification_46471115127_en_5.2.0_3.0_1701469516998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_imdb_textclassification_46471115127|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/davis901/autotrain-imdb-textclassification-46471115127
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-autotrain_neurips_chanllenge_1287149282_en.md b/docs/_posts/ahmedlone127/2023-12-01-autotrain_neurips_chanllenge_1287149282_en.md
new file mode 100644
index 000000000000..a07da45338af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-autotrain_neurips_chanllenge_1287149282_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autotrain_neurips_chanllenge_1287149282 RoBertaForSequenceClassification from jawadhussein462
+author: John Snow Labs
+name: autotrain_neurips_chanllenge_1287149282
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_neurips_chanllenge_1287149282` is a English model originally trained by jawadhussein462.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_neurips_chanllenge_1287149282_en_5.2.0_3.0_1701472132170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_neurips_chanllenge_1287149282_en_5.2.0_3.0_1701472132170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertin_base_paws_x_spanish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|432.3 MB|
+
+## References
+
+https://huggingface.co/bertin-project/bertin-base-paws-x-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-bertin_roberta_fine_tuned_text_classification_sl_data_augmentation_test_en.md b/docs/_posts/ahmedlone127/2023-12-01-bertin_roberta_fine_tuned_text_classification_sl_data_augmentation_test_en.md
new file mode 100644
index 000000000000..5a62096458f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-bertin_roberta_fine_tuned_text_classification_sl_data_augmentation_test_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bertin_roberta_fine_tuned_text_classification_sl_data_augmentation_test RoBertaForSequenceClassification from Sleoruiz
+author: John Snow Labs
+name: bertin_roberta_fine_tuned_text_classification_sl_data_augmentation_test
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertin_roberta_fine_tuned_text_classification_sl_data_augmentation_test` is a English model originally trained by Sleoruiz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertin_roberta_fine_tuned_text_classification_sl_data_augmentation_test_en_5.2.0_3.0_1701415209560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertin_roberta_fine_tuned_text_classification_sl_data_augmentation_test_en_5.2.0_3.0_1701415209560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertin_roberta_fine_tuned_text_classification_sl_data_augmentation_test|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.7 MB|
+
+## References
+
+https://huggingface.co/Sleoruiz/bertin-roberta-fine-tuned-text-classification-SL-data-augmentation-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-bot_selector_en.md b/docs/_posts/ahmedlone127/2023-12-01-bot_selector_en.md
new file mode 100644
index 000000000000..70b32fb30cb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-bot_selector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bot_selector RoBertaForSequenceClassification from GeniusVoice
+author: John Snow Labs
+name: bot_selector
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bot_selector` is a English model originally trained by GeniusVoice.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bot_selector_en_5.2.0_3.0_1701423615990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bot_selector_en_5.2.0_3.0_1701423615990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_cantemist|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|437.0 MB|
+
+## References
+
+https://huggingface.co/IIC/bsc-bio-ehr-es-cantemist
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-burmese_awesome_unixcoder_2_en.md b/docs/_posts/ahmedlone127/2023-12-01-burmese_awesome_unixcoder_2_en.md
new file mode 100644
index 000000000000..6954d8e55c6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-burmese_awesome_unixcoder_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_unixcoder_2 RoBertaForSequenceClassification from buelfhood
+author: John Snow Labs
+name: burmese_awesome_unixcoder_2
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_unixcoder_2` is a English model originally trained by buelfhood.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_unixcoder_2_en_5.2.0_3.0_1701473078861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_unixcoder_2_en_5.2.0_3.0_1701473078861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_unixcoder_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|472.4 MB|
+
+## References
+
+https://huggingface.co/buelfhood/my_awesome_unixcoder_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-cbd_en.md b/docs/_posts/ahmedlone127/2023-12-01-cbd_en.md
new file mode 100644
index 000000000000..8d5c668e4ea2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-cbd_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cbd RoBertaForSequenceClassification from Kidsshield
+author: John Snow Labs
+name: cbd
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cbd` is a English model originally trained by Kidsshield.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cbd_en_5.2.0_3.0_1701473324136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cbd_en_5.2.0_3.0_1701473324136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cbd|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/Kidsshield/CBD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-censor_testing_performance_en.md b/docs/_posts/ahmedlone127/2023-12-01-censor_testing_performance_en.md
new file mode 100644
index 000000000000..4b7ce65d6ef7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-censor_testing_performance_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English censor_testing_performance RoBertaForSequenceClassification from Gadmz
+author: John Snow Labs
+name: censor_testing_performance
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`censor_testing_performance` is a English model originally trained by Gadmz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/censor_testing_performance_en_5.2.0_3.0_1701425153819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/censor_testing_performance_en_5.2.0_3.0_1701425153819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|censor_testing_performance|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.6 MB|
+
+## References
+
+https://huggingface.co/Gadmz/censor-testing-performance
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-class_poems_spanish_en.md b/docs/_posts/ahmedlone127/2023-12-01-class_poems_spanish_en.md
new file mode 100644
index 000000000000..79b894551cb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-class_poems_spanish_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English class_poems_spanish RoBertaForSequenceClassification from hackathon-pln-es
+author: John Snow Labs
+name: class_poems_spanish
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`class_poems_spanish` is a English model originally trained by hackathon-pln-es.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/class_poems_spanish_en_5.2.0_3.0_1701402002195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/class_poems_spanish_en_5.2.0_3.0_1701402002195.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|class_poems_spanish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|435.1 MB|
+
+## References
+
+https://huggingface.co/hackathon-pln-es/class-poems-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-climatebert_base_f_climate_evidence_related_en.md b/docs/_posts/ahmedlone127/2023-12-01-climatebert_base_f_climate_evidence_related_en.md
new file mode 100644
index 000000000000..ad3a5a882cb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-climatebert_base_f_climate_evidence_related_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English climatebert_base_f_climate_evidence_related RoBertaForSequenceClassification from mwong
+author: John Snow Labs
+name: climatebert_base_f_climate_evidence_related
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climatebert_base_f_climate_evidence_related` is a English model originally trained by mwong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climatebert_base_f_climate_evidence_related_en_5.2.0_3.0_1701428443726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climatebert_base_f_climate_evidence_related_en_5.2.0_3.0_1701428443726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|climatebert_base_f_climate_evidence_related|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/mwong/climatebert-base-f-climate-evidence-related
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-codebert_docstring_inconsistency_en.md b/docs/_posts/ahmedlone127/2023-12-01-codebert_docstring_inconsistency_en.md
new file mode 100644
index 000000000000..7f981b7a1ec0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-codebert_docstring_inconsistency_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English codebert_docstring_inconsistency RoBertaForSequenceClassification from Fsoft-AIC
+author: John Snow Labs
+name: codebert_docstring_inconsistency
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`codebert_docstring_inconsistency` is a English model originally trained by Fsoft-AIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebert_docstring_inconsistency_en_5.2.0_3.0_1701427199647.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebert_docstring_inconsistency_en_5.2.0_3.0_1701427199647.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codebert_docstring_inconsistency|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Fsoft-AIC/Codebert-docstring-inconsistency
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-cohen_en.md b/docs/_posts/ahmedlone127/2023-12-01-cohen_en.md
new file mode 100644
index 000000000000..33759921b8e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-cohen_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cohen RoBertaForSequenceClassification from gngpostalsrvc
+author: John Snow Labs
+name: cohen
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cohen` is a English model originally trained by gngpostalsrvc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cohen_en_5.2.0_3.0_1701434002610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cohen_en_5.2.0_3.0_1701434002610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cohen|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|5.4 MB|
+
+## References
+
+https://huggingface.co/gngpostalsrvc/COHeN
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-cold_fusion_finetuned_effectiveness_redditcmv_en.md b/docs/_posts/ahmedlone127/2023-12-01-cold_fusion_finetuned_effectiveness_redditcmv_en.md
new file mode 100644
index 000000000000..68cab184ab4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-cold_fusion_finetuned_effectiveness_redditcmv_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_finetuned_effectiveness_redditcmv RoBertaForSequenceClassification from jakub014
+author: John Snow Labs
+name: cold_fusion_finetuned_effectiveness_redditcmv
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_finetuned_effectiveness_redditcmv` is a English model originally trained by jakub014.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_finetuned_effectiveness_redditcmv_en_5.2.0_3.0_1701471121499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_finetuned_effectiveness_redditcmv_en_5.2.0_3.0_1701471121499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_finetuned_effectiveness_redditcmv|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/jakub014/ColD-Fusion-finetuned-effectiveness-redditCMV
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-comparation_2_text_en.md b/docs/_posts/ahmedlone127/2023-12-01-comparation_2_text_en.md
new file mode 100644
index 000000000000..252b0c010e3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-comparation_2_text_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English comparation_2_text RoBertaForSequenceClassification from luisvidal-lv
+author: John Snow Labs
+name: comparation_2_text
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`comparation_2_text` is a English model originally trained by luisvidal-lv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/comparation_2_text_en_5.2.0_3.0_1701410070376.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/comparation_2_text_en_5.2.0_3.0_1701410070376.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|comparation_2_text|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/luisvidal-lv/comparation_2_text
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-covid19_tweets_sentimentanaysis_rorbeta_en.md b/docs/_posts/ahmedlone127/2023-12-01-covid19_tweets_sentimentanaysis_rorbeta_en.md
new file mode 100644
index 000000000000..66d8710a7ec7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-covid19_tweets_sentimentanaysis_rorbeta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid19_tweets_sentimentanaysis_rorbeta RoBertaForSequenceClassification from einnake
+author: John Snow Labs
+name: covid19_tweets_sentimentanaysis_rorbeta
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid19_tweets_sentimentanaysis_rorbeta` is a English model originally trained by einnake.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid19_tweets_sentimentanaysis_rorbeta_en_5.2.0_3.0_1701422763129.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid19_tweets_sentimentanaysis_rorbeta_en_5.2.0_3.0_1701422763129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid19_tweets_sentimentanaysis_rorbeta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/einnake/Covid19_Tweets_SentimentAnaysis_Rorbeta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-covid_analysis_model_en.md b/docs/_posts/ahmedlone127/2023-12-01-covid_analysis_model_en.md
new file mode 100644
index 000000000000..cccafb1780ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-covid_analysis_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_analysis_model RoBertaForSequenceClassification from phinm
+author: John Snow Labs
+name: covid_analysis_model
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_analysis_model` is a English model originally trained by phinm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_analysis_model_en_5.2.0_3.0_1701397881944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_analysis_model_en_5.2.0_3.0_1701397881944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_analysis_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/phinm/covid_analysis_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-covid_hatespeech_detection_en.md b/docs/_posts/ahmedlone127/2023-12-01-covid_hatespeech_detection_en.md
new file mode 100644
index 000000000000..98b3c330aa13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-covid_hatespeech_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_hatespeech_detection RoBertaForSequenceClassification from nihaldsouza1
+author: John Snow Labs
+name: covid_hatespeech_detection
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_hatespeech_detection` is a English model originally trained by nihaldsouza1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_hatespeech_detection_en_5.2.0_3.0_1701450180648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_hatespeech_detection_en_5.2.0_3.0_1701450180648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_hatespeech_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.0 MB|
+
+## References
+
+https://huggingface.co/nihaldsouza1/covid-hatespeech-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-covid_tweet_sentiment_analyzer_roberta_latest_fantasticrambo_en.md b/docs/_posts/ahmedlone127/2023-12-01-covid_tweet_sentiment_analyzer_roberta_latest_fantasticrambo_en.md
new file mode 100644
index 000000000000..3ea361a4356f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-covid_tweet_sentiment_analyzer_roberta_latest_fantasticrambo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English covid_tweet_sentiment_analyzer_roberta_latest_fantasticrambo RoBertaForSequenceClassification from fantasticrambo
+author: John Snow Labs
+name: covid_tweet_sentiment_analyzer_roberta_latest_fantasticrambo
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_tweet_sentiment_analyzer_roberta_latest_fantasticrambo` is a English model originally trained by fantasticrambo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_tweet_sentiment_analyzer_roberta_latest_fantasticrambo_en_5.2.0_3.0_1701396982373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_tweet_sentiment_analyzer_roberta_latest_fantasticrambo_en_5.2.0_3.0_1701396982373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_tweet_sentiment_analyzer_roberta_latest_fantasticrambo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/fantasticrambo/covid-tweet-sentiment-analyzer-roberta-latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-da_roberta_babe_en.md b/docs/_posts/ahmedlone127/2023-12-01-da_roberta_babe_en.md
new file mode 100644
index 000000000000..fef93ba87412
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-da_roberta_babe_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English da_roberta_babe RoBertaForSequenceClassification from mediabiasgroup
+author: John Snow Labs
+name: da_roberta_babe
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`da_roberta_babe` is a English model originally trained by mediabiasgroup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/da_roberta_babe_en_5.2.0_3.0_1701389515072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/da_roberta_babe_en_5.2.0_3.0_1701389515072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|da_roberta_babe|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|454.8 MB|
+
+## References
+
+https://huggingface.co/mediabiasgroup/DA-RoBERTa-BABE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-da_roberta_pretrained_en.md b/docs/_posts/ahmedlone127/2023-12-01-da_roberta_pretrained_en.md
new file mode 100644
index 000000000000..6e83c5f488ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-da_roberta_pretrained_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English da_roberta_pretrained RoBertaForSequenceClassification from mediabiasgroup
+author: John Snow Labs
+name: da_roberta_pretrained
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`da_roberta_pretrained` is a English model originally trained by mediabiasgroup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/da_roberta_pretrained_en_5.2.0_3.0_1701416444529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/da_roberta_pretrained_en_5.2.0_3.0_1701416444529.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|da_roberta_pretrained|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.4 MB|
+
+## References
+
+https://huggingface.co/mediabiasgroup/DA-RoBERTa-pretrained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-danish_roberta_botxo_danish_finetuned_hatespeech_en.md b/docs/_posts/ahmedlone127/2023-12-01-danish_roberta_botxo_danish_finetuned_hatespeech_en.md
new file mode 100644
index 000000000000..b54acca67e89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-danish_roberta_botxo_danish_finetuned_hatespeech_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English danish_roberta_botxo_danish_finetuned_hatespeech RoBertaForSequenceClassification from emfa
+author: John Snow Labs
+name: danish_roberta_botxo_danish_finetuned_hatespeech
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`danish_roberta_botxo_danish_finetuned_hatespeech` is a English model originally trained by emfa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/danish_roberta_botxo_danish_finetuned_hatespeech_en_5.2.0_3.0_1701472994125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/danish_roberta_botxo_danish_finetuned_hatespeech_en_5.2.0_3.0_1701472994125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_roberta_botxo_danish_finetuned_hatespeech|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/emfa/danish-roberta-botxo-danish-finetuned-hatespeech
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-disaster_model_1_en.md b/docs/_posts/ahmedlone127/2023-12-01-disaster_model_1_en.md
new file mode 100644
index 000000000000..55a59dd0f007
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-disaster_model_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English disaster_model_1 RoBertaForSequenceClassification from aellxx
+author: John Snow Labs
+name: disaster_model_1
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`disaster_model_1` is a English model originally trained by aellxx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/disaster_model_1_en_5.2.0_3.0_1701448586598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/disaster_model_1_en_5.2.0_3.0_1701448586598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|disaster_model_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/aellxx/disaster-model-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-discourse_classification_using_robrta_base_en.md b/docs/_posts/ahmedlone127/2023-12-01-discourse_classification_using_robrta_base_en.md
new file mode 100644
index 000000000000..9935a0bd3581
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-discourse_classification_using_robrta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English discourse_classification_using_robrta_base RoBertaForSequenceClassification from Manishkalra
+author: John Snow Labs
+name: discourse_classification_using_robrta_base
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`discourse_classification_using_robrta_base` is a English model originally trained by Manishkalra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discourse_classification_using_robrta_base_en_5.2.0_3.0_1701471540347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discourse_classification_using_robrta_base_en_5.2.0_3.0_1701471540347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|discourse_classification_using_robrta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.8 MB|
+
+## References
+
+https://huggingface.co/Manishkalra/discourse_classification_using_robrta_base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-distilbertfinal_ctxsentence_train_all_test_french_second_train_set_null_true_en.md b/docs/_posts/ahmedlone127/2023-12-01-distilbertfinal_ctxsentence_train_all_test_french_second_train_set_null_true_en.md
new file mode 100644
index 000000000000..7ea1f6939447
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-distilbertfinal_ctxsentence_train_all_test_french_second_train_set_null_true_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbertfinal_ctxsentence_train_all_test_french_second_train_set_null_true RoBertaForSequenceClassification from ali2066
+author: John Snow Labs
+name: distilbertfinal_ctxsentence_train_all_test_french_second_train_set_null_true
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbertfinal_ctxsentence_train_all_test_french_second_train_set_null_true` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbertfinal_ctxsentence_train_all_test_french_second_train_set_null_true_en_5.2.0_3.0_1701407914451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbertfinal_ctxsentence_train_all_test_french_second_train_set_null_true_en_5.2.0_3.0_1701407914451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbertfinal_ctxsentence_train_all_test_french_second_train_set_null_true|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/ali2066/DistilBERTFINAL_ctxSentence_TRAIN_all_TEST_french_second_train_set_NULL_True
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_ep20_phrase5k_en.md b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_ep20_phrase5k_en.md
new file mode 100644
index 000000000000..7134a1bc3a78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_ep20_phrase5k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_ep20_phrase5k RoBertaForSequenceClassification from judy93536
+author: John Snow Labs
+name: distilroberta_base_ep20_phrase5k
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_ep20_phrase5k` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_ep20_phrase5k_en_5.2.0_3.0_1701433769058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_ep20_phrase5k_en_5.2.0_3.0_1701433769058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_ep20_phrase5k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-base-ep20-phrase5k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_finetuned_fakenews_en.md b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_finetuned_fakenews_en.md
new file mode 100644
index 000000000000..8212acc9cf05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_finetuned_fakenews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_finetuned_fakenews RoBertaForSequenceClassification from GonzaloA
+author: John Snow Labs
+name: distilroberta_base_finetuned_fakenews
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_finetuned_fakenews` is a English model originally trained by GonzaloA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_fakenews_en_5.2.0_3.0_1701470053493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_finetuned_fakenews_en_5.2.0_3.0_1701470053493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_finetuned_fakenews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/GonzaloA/distilroberta-base-finetuned-fakeNews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_jobs_clasf_en.md b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_jobs_clasf_en.md
new file mode 100644
index 000000000000..ca6e552599b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_jobs_clasf_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_jobs_clasf RoBertaForSequenceClassification from dijon-ai
+author: John Snow Labs
+name: distilroberta_base_jobs_clasf
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_jobs_clasf` is a English model originally trained by dijon-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_jobs_clasf_en_5.2.0_3.0_1701417310053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_jobs_clasf_en_5.2.0_3.0_1701417310053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_jobs_clasf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/dijon-ai/distilroberta-base-jobs-clasf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_mrpc_glue_ubaldogs_en.md b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_mrpc_glue_ubaldogs_en.md
new file mode 100644
index 000000000000..76294847a3c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_mrpc_glue_ubaldogs_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_mrpc_glue_ubaldogs RoBertaForSequenceClassification from ubas9109
+author: John Snow Labs
+name: distilroberta_base_mrpc_glue_ubaldogs
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mrpc_glue_ubaldogs` is a English model originally trained by ubas9109.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_ubaldogs_en_5.2.0_3.0_1701450805440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_ubaldogs_en_5.2.0_3.0_1701450805440.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_mrpc_glue_ubaldogs|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/ubas9109/distilroberta-base-mrpc-glue-ubaldogs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_uncased_distilled_emotion_en.md b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_uncased_distilled_emotion_en.md
new file mode 100644
index 000000000000..4660cde42efd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_base_uncased_distilled_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_uncased_distilled_emotion RoBertaForSequenceClassification from vladkolev
+author: John Snow Labs
+name: distilroberta_base_uncased_distilled_emotion
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_uncased_distilled_emotion` is a English model originally trained by vladkolev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_uncased_distilled_emotion_en_5.2.0_3.0_1701472622718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_uncased_distilled_emotion_en_5.2.0_3.0_1701472622718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_uncased_distilled_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/vladkolev/distilroberta-base-uncased-distilled-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-distilroberta_csic_anomaly_en.md b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_csic_anomaly_en.md
new file mode 100644
index 000000000000..77206c94614f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_csic_anomaly_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_csic_anomaly RoBertaForSequenceClassification from EgilKarlsen
+author: John Snow Labs
+name: distilroberta_csic_anomaly
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_csic_anomaly` is a English model originally trained by EgilKarlsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_csic_anomaly_en_5.2.0_3.0_1701470138121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_csic_anomaly_en_5.2.0_3.0_1701470138121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_csic_anomaly|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/EgilKarlsen/DistilRoberta_CSIC-Anomaly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-distilroberta_newsapi121k_phrase5k_en.md b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_newsapi121k_phrase5k_en.md
new file mode 100644
index 000000000000..584c57b3e969
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_newsapi121k_phrase5k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_newsapi121k_phrase5k RoBertaForSequenceClassification from judy93536
+author: John Snow Labs
+name: distilroberta_newsapi121k_phrase5k
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_newsapi121k_phrase5k` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_newsapi121k_phrase5k_en_5.2.0_3.0_1701392479431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_newsapi121k_phrase5k_en_5.2.0_3.0_1701392479431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_newsapi121k_phrase5k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-newsapi121k-phrase5k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-distilroberta_rbm231k_ep20_op40_phrase5k_en.md b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_rbm231k_ep20_op40_phrase5k_en.md
new file mode 100644
index 000000000000..a4701d1ae419
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-distilroberta_rbm231k_ep20_op40_phrase5k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_rbm231k_ep20_op40_phrase5k RoBertaForSequenceClassification from judy93536
+author: John Snow Labs
+name: distilroberta_rbm231k_ep20_op40_phrase5k
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_rbm231k_ep20_op40_phrase5k` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_rbm231k_ep20_op40_phrase5k_en_5.2.0_3.0_1701415440081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_rbm231k_ep20_op40_phrase5k_en_5.2.0_3.0_1701415440081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_rbm231k_ep20_op40_phrase5k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.5 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-rbm231k-ep20-op40-phrase5k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-div_class_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-01-div_class_roberta_en.md
new file mode 100644
index 000000000000..9278f8b26ebb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-div_class_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English div_class_roberta RoBertaForSequenceClassification from mahesh27
+author: John Snow Labs
+name: div_class_roberta
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`div_class_roberta` is a English model originally trained by mahesh27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/div_class_roberta_en_5.2.0_3.0_1701431431762.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/div_class_roberta_en_5.2.0_3.0_1701431431762.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|div_class_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|380.5 MB|
+
+## References
+
+https://huggingface.co/mahesh27/div-class-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-drug_stance_bert_en.md b/docs/_posts/ahmedlone127/2023-12-01-drug_stance_bert_en.md
new file mode 100644
index 000000000000..750c5dfe7578
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-drug_stance_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English drug_stance_bert RoBertaForSequenceClassification from ningkko
+author: John Snow Labs
+name: drug_stance_bert
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`drug_stance_bert` is a English model originally trained by ningkko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/drug_stance_bert_en_5.2.0_3.0_1701413148067.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/drug_stance_bert_en_5.2.0_3.0_1701413148067.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|drug_stance_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/ningkko/drug-stance-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-edos_2023_baseline_roberta_base_label_category_en.md b/docs/_posts/ahmedlone127/2023-12-01-edos_2023_baseline_roberta_base_label_category_en.md
new file mode 100644
index 000000000000..3fec85f7ba30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-edos_2023_baseline_roberta_base_label_category_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English edos_2023_baseline_roberta_base_label_category RoBertaForSequenceClassification from lct-rug-2022
+author: John Snow Labs
+name: edos_2023_baseline_roberta_base_label_category
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`edos_2023_baseline_roberta_base_label_category` is a English model originally trained by lct-rug-2022.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/edos_2023_baseline_roberta_base_label_category_en_5.2.0_3.0_1701390422985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/edos_2023_baseline_roberta_base_label_category_en_5.2.0_3.0_1701390422985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|edos_2023_baseline_roberta_base_label_category|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|299.7 MB|
+
+## References
+
+https://huggingface.co/lct-rug-2022/edos-2023-baseline-roberta-base-label_category
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-edos_2023_baseline_roberta_base_label_sexist_en.md b/docs/_posts/ahmedlone127/2023-12-01-edos_2023_baseline_roberta_base_label_sexist_en.md
new file mode 100644
index 000000000000..3a6eabca7448
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-edos_2023_baseline_roberta_base_label_sexist_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English edos_2023_baseline_roberta_base_label_sexist RoBertaForSequenceClassification from lct-rug-2022
+author: John Snow Labs
+name: edos_2023_baseline_roberta_base_label_sexist
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`edos_2023_baseline_roberta_base_label_sexist` is a English model originally trained by lct-rug-2022.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/edos_2023_baseline_roberta_base_label_sexist_en_5.2.0_3.0_1701392207925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/edos_2023_baseline_roberta_base_label_sexist_en_5.2.0_3.0_1701392207925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|edos_2023_baseline_roberta_base_label_sexist|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|299.7 MB|
+
+## References
+
+https://huggingface.co/lct-rug-2022/edos-2023-baseline-roberta-base-label_sexist
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-email_fraud_detector_en.md b/docs/_posts/ahmedlone127/2023-12-01-email_fraud_detector_en.md
new file mode 100644
index 000000000000..7796a5566ab3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-email_fraud_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English email_fraud_detector RoBertaForSequenceClassification from tush9905
+author: John Snow Labs
+name: email_fraud_detector
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`email_fraud_detector` is a English model originally trained by tush9905.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/email_fraud_detector_en_5.2.0_3.0_1701432768929.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/email_fraud_detector_en_5.2.0_3.0_1701432768929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|email_fraud_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|453.8 MB|
+
+## References
+
+https://huggingface.co/tush9905/email_fraud_detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-email_spam_detection_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-01-email_spam_detection_roberta_en.md
new file mode 100644
index 000000000000..32f78a6ae6cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-email_spam_detection_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English email_spam_detection_roberta RoBertaForSequenceClassification from dima806
+author: John Snow Labs
+name: email_spam_detection_roberta
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`email_spam_detection_roberta` is a English model originally trained by dima806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/email_spam_detection_roberta_en_5.2.0_3.0_1701436018264.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/email_spam_detection_roberta_en_5.2.0_3.0_1701436018264.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|email_spam_detection_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|454.7 MB|
+
+## References
+
+https://huggingface.co/dima806/email-spam-detection-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-emotion_classification_en.md b/docs/_posts/ahmedlone127/2023-12-01-emotion_classification_en.md
new file mode 100644
index 000000000000..391c7327121e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-emotion_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotion_classification RoBertaForSequenceClassification from imrazaa
+author: John Snow Labs
+name: emotion_classification
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_classification` is a English model originally trained by imrazaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_classification_en_5.2.0_3.0_1701395571514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_classification_en_5.2.0_3.0_1701395571514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|439.1 MB|
+
+## References
+
+https://huggingface.co/imrazaa/emotion_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-emotion_text_classifier_finetuned_solidarity_en.md b/docs/_posts/ahmedlone127/2023-12-01-emotion_text_classifier_finetuned_solidarity_en.md
new file mode 100644
index 000000000000..329a18456215
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-emotion_text_classifier_finetuned_solidarity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emotion_text_classifier_finetuned_solidarity RoBertaForSequenceClassification from awwalker
+author: John Snow Labs
+name: emotion_text_classifier_finetuned_solidarity
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emotion_text_classifier_finetuned_solidarity` is a English model originally trained by awwalker.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotion_text_classifier_finetuned_solidarity_en_5.2.0_3.0_1701471623052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotion_text_classifier_finetuned_solidarity_en_5.2.0_3.0_1701471623052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotion_text_classifier_finetuned_solidarity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/awwalker/emotion_text_classifier-finetuned-solidarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-enhanced_roberta_sentiments_spanish_en.md b/docs/_posts/ahmedlone127/2023-12-01-enhanced_roberta_sentiments_spanish_en.md
new file mode 100644
index 000000000000..dc475904ebd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-enhanced_roberta_sentiments_spanish_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English enhanced_roberta_sentiments_spanish RoBertaForSequenceClassification from Manauu17
+author: John Snow Labs
+name: enhanced_roberta_sentiments_spanish
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`enhanced_roberta_sentiments_spanish` is a English model originally trained by Manauu17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/enhanced_roberta_sentiments_spanish_en_5.2.0_3.0_1701469971565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/enhanced_roberta_sentiments_spanish_en_5.2.0_3.0_1701469971565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|enhanced_roberta_sentiments_spanish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/Manauu17/enhanced_roberta_sentiments_es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-event_detection_xlm_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-01-event_detection_xlm_roberta_en.md
new file mode 100644
index 000000000000..a0d5f5df96bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-event_detection_xlm_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English event_detection_xlm_roberta RoBertaForSequenceClassification from clarin-knext
+author: John Snow Labs
+name: event_detection_xlm_roberta
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`event_detection_xlm_roberta` is a English model originally trained by clarin-knext.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/event_detection_xlm_roberta_en_5.2.0_3.0_1701423639072.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/event_detection_xlm_roberta_en_5.2.0_3.0_1701423639072.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|event_detection_xlm_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|415.6 MB|
+
+## References
+
+https://huggingface.co/clarin-knext/event-detection-xlm-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-fakenews_roberta_large_en.md b/docs/_posts/ahmedlone127/2023-12-01-fakenews_roberta_large_en.md
new file mode 100644
index 000000000000..0cfa3e25c093
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-fakenews_roberta_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fakenews_roberta_large RoBertaForSequenceClassification from Denyol
+author: John Snow Labs
+name: fakenews_roberta_large
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fakenews_roberta_large` is a English model originally trained by Denyol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fakenews_roberta_large_en_5.2.0_3.0_1701472260571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fakenews_roberta_large_en_5.2.0_3.0_1701472260571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fakenews_roberta_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Denyol/FakeNews-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-financial_message_classification_en.md b/docs/_posts/ahmedlone127/2023-12-01-financial_message_classification_en.md
new file mode 100644
index 000000000000..0488daeb8e3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-financial_message_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English financial_message_classification RoBertaForSequenceClassification from Budget
+author: John Snow Labs
+name: financial_message_classification
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`financial_message_classification` is a English model originally trained by Budget.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financial_message_classification_en_5.2.0_3.0_1701439409617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financial_message_classification_en_5.2.0_3.0_1701439409617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|financial_message_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|421.4 MB|
+
+## References
+
+https://huggingface.co/Budget/financial_message_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-finetune_paraphrase_model_en.md b/docs/_posts/ahmedlone127/2023-12-01-finetune_paraphrase_model_en.md
new file mode 100644
index 000000000000..9e4af5b24789
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-finetune_paraphrase_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetune_paraphrase_model RoBertaForSequenceClassification from chitra
+author: John Snow Labs
+name: finetune_paraphrase_model
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetune_paraphrase_model` is a English model originally trained by chitra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetune_paraphrase_model_en_5.2.0_3.0_1701421955641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetune_paraphrase_model_en_5.2.0_3.0_1701421955641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetune_paraphrase_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/chitra/finetune-paraphrase-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-finetuned_roberta_base_en.md b/docs/_posts/ahmedlone127/2023-12-01-finetuned_roberta_base_en.md
new file mode 100644
index 000000000000..53a3f0f63b1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-finetuned_roberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_roberta_base RoBertaForSequenceClassification from KABANDA18
+author: John Snow Labs
+name: finetuned_roberta_base
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_roberta_base` is a English model originally trained by KABANDA18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_en_5.2.0_3.0_1701393750609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_en_5.2.0_3.0_1701393750609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_roberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.3 MB|
+
+## References
+
+https://huggingface.co/KABANDA18/FineTuned-Roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-finetuning_customer_sentiment_model_300_samples_en.md b/docs/_posts/ahmedlone127/2023-12-01-finetuning_customer_sentiment_model_300_samples_en.md
new file mode 100644
index 000000000000..e380018c6555
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-finetuning_customer_sentiment_model_300_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_customer_sentiment_model_300_samples RoBertaForSequenceClassification from Psunrise
+author: John Snow Labs
+name: finetuning_customer_sentiment_model_300_samples
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_customer_sentiment_model_300_samples` is a English model originally trained by Psunrise.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_customer_sentiment_model_300_samples_en_5.2.0_3.0_1701423717609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_customer_sentiment_model_300_samples_en_5.2.0_3.0_1701423717609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_customer_sentiment_model_300_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|434.4 MB|
+
+## References
+
+https://huggingface.co/Psunrise/finetuning-customer-sentiment-model-300-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-finetuning_roberta_base_on_imdb_en.md b/docs/_posts/ahmedlone127/2023-12-01-finetuning_roberta_base_on_imdb_en.md
new file mode 100644
index 000000000000..45c8c588c20e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-finetuning_roberta_base_on_imdb_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_roberta_base_on_imdb RoBertaForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: finetuning_roberta_base_on_imdb
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_roberta_base_on_imdb` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_on_imdb_en_5.2.0_3.0_1701450180639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_roberta_base_on_imdb_en_5.2.0_3.0_1701450180639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_roberta_base_on_imdb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|460.5 MB|
+
+## References
+
+https://huggingface.co/Ibrahim-Alam/finetuning-roberta-base-on-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-finetuning_sentiment_model_en.md b/docs/_posts/ahmedlone127/2023-12-01-finetuning_sentiment_model_en.md
new file mode 100644
index 000000000000..5d8e1c90cc4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-finetuning_sentiment_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model RoBertaForSequenceClassification from Saberi
+author: John Snow Labs
+name: finetuning_sentiment_model
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model` is a English model originally trained by Saberi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_en_5.2.0_3.0_1701472459410.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_en_5.2.0_3.0_1701472459410.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.7 MB|
+
+## References
+
+https://huggingface.co/Saberi/finetuning-sentiment-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-finetuning_sentiment_model_spanish_hraul_en.md b/docs/_posts/ahmedlone127/2023-12-01-finetuning_sentiment_model_spanish_hraul_en.md
new file mode 100644
index 000000000000..c88f4db53195
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-finetuning_sentiment_model_spanish_hraul_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_spanish_hraul RoBertaForSequenceClassification from HRaul
+author: John Snow Labs
+name: finetuning_sentiment_model_spanish_hraul
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_spanish_hraul` is a English model originally trained by HRaul.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_spanish_hraul_en_5.2.0_3.0_1701393958243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_spanish_hraul_en_5.2.0_3.0_1701393958243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_spanish_hraul|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.9 MB|
+
+## References
+
+https://huggingface.co/HRaul/finetuning-sentiment-model-spanish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-finetuning_sentiment_model_urdu_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-01-finetuning_sentiment_model_urdu_roberta_en.md
new file mode 100644
index 000000000000..a76b0a7adfb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-finetuning_sentiment_model_urdu_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_urdu_roberta RoBertaForSequenceClassification from maazmikail
+author: John Snow Labs
+name: finetuning_sentiment_model_urdu_roberta
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_urdu_roberta` is a English model originally trained by maazmikail.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_urdu_roberta_en_5.2.0_3.0_1701436369349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_urdu_roberta_en_5.2.0_3.0_1701436369349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|formality_classification_icebert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|is|
+|Size:|446.7 MB|
+
+## References
+
+https://huggingface.co/svanhvit/formality-classification-icebert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-fossilbert_en.md b/docs/_posts/ahmedlone127/2023-12-01-fossilbert_en.md
new file mode 100644
index 000000000000..04867f44148b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-fossilbert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fossilbert RoBertaForSequenceClassification from ljhemmi
+author: John Snow Labs
+name: fossilbert
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fossilbert` is a English model originally trained by ljhemmi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fossilbert_en_5.2.0_3.0_1701434075983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fossilbert_en_5.2.0_3.0_1701434075983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fossilbert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/ljhemmi/FossilBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-gpt_opinion_model_en.md b/docs/_posts/ahmedlone127/2023-12-01-gpt_opinion_model_en.md
new file mode 100644
index 000000000000..2425192bb955
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-gpt_opinion_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English gpt_opinion_model RoBertaForSequenceClassification from raydentseng
+author: John Snow Labs
+name: gpt_opinion_model
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gpt_opinion_model` is a English model originally trained by raydentseng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gpt_opinion_model_en_5.2.0_3.0_1701423515465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gpt_opinion_model_en_5.2.0_3.0_1701423515465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gpt_opinion_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.9 MB|
+
+## References
+
+https://huggingface.co/raydentseng/gpt_opinion_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-hate_hate_random1_seed1_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-01-hate_hate_random1_seed1_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 000000000000..66946c5d9bc1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-hate_hate_random1_seed1_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_hate_random1_seed1_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random1_seed1_twitter_roberta_large_2022_154m
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random1_seed1_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed1_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701473364086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed1_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701473364086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random1_seed1_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random1_seed1-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-hate_roberta_hasoc_hindi_hi.md b/docs/_posts/ahmedlone127/2023-12-01-hate_roberta_hasoc_hindi_hi.md
new file mode 100644
index 000000000000..e9b395ccc43b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-hate_roberta_hasoc_hindi_hi.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Hindi hate_roberta_hasoc_hindi RoBertaForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: hate_roberta_hasoc_hindi
+date: 2023-12-01
+tags: [roberta, hi, open_source, sequence_classification, onnx]
+task: Text Classification
+language: hi
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_roberta_hasoc_hindi` is a Hindi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_roberta_hasoc_hindi_hi_5.2.0_3.0_1701409950635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_roberta_hasoc_hindi_hi_5.2.0_3.0_1701409950635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_roberta_hasoc_hindi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|hi|
+|Size:|467.1 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/hate-roberta-hasoc-hindi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-hate_speech_detector_en.md b/docs/_posts/ahmedlone127/2023-12-01-hate_speech_detector_en.md
new file mode 100644
index 000000000000..bb65e6d97165
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-hate_speech_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_speech_detector RoBertaForSequenceClassification from Elluran
+author: John Snow Labs
+name: hate_speech_detector
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_speech_detector` is a English model originally trained by Elluran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_speech_detector_en_5.2.0_3.0_1701396389238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_speech_detector_en_5.2.0_3.0_1701396389238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_speech_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|441.8 MB|
+
+## References
+
+https://huggingface.co/Elluran/Hate_speech_detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-hc3_wiki_domain_classification_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-01-hc3_wiki_domain_classification_roberta_en.md
new file mode 100644
index 000000000000..1d70a53aadfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-hc3_wiki_domain_classification_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hc3_wiki_domain_classification_roberta RoBertaForSequenceClassification from rajendrabaskota
+author: John Snow Labs
+name: hc3_wiki_domain_classification_roberta
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hc3_wiki_domain_classification_roberta` is a English model originally trained by rajendrabaskota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hc3_wiki_domain_classification_roberta_en_5.2.0_3.0_1701471315156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hc3_wiki_domain_classification_roberta_en_5.2.0_3.0_1701471315156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hc3_wiki_domain_classification_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|457.4 MB|
+
+## References
+
+https://huggingface.co/rajendrabaskota/hc3-wiki-domain-classification-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-horai_medium_31k_roberta_large_e5_en.md b/docs/_posts/ahmedlone127/2023-12-01-horai_medium_31k_roberta_large_e5_en.md
new file mode 100644
index 000000000000..2ed64b2a8c05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-horai_medium_31k_roberta_large_e5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English horai_medium_31k_roberta_large_e5 RoBertaForSequenceClassification from stealthwriter
+author: John Snow Labs
+name: horai_medium_31k_roberta_large_e5
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`horai_medium_31k_roberta_large_e5` is a English model originally trained by stealthwriter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/horai_medium_31k_roberta_large_e5_en_5.2.0_3.0_1701475006136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/horai_medium_31k_roberta_large_e5_en_5.2.0_3.0_1701475006136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|horai_medium_31k_roberta_large_e5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/stealthwriter/HorAI-medium-31k-roberta-large-e5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-horai_medium_31k_roberta_large_e5_lr3_en.md b/docs/_posts/ahmedlone127/2023-12-01-horai_medium_31k_roberta_large_e5_lr3_en.md
new file mode 100644
index 000000000000..d2f6985fe5d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-horai_medium_31k_roberta_large_e5_lr3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English horai_medium_31k_roberta_large_e5_lr3 RoBertaForSequenceClassification from stealthwriter
+author: John Snow Labs
+name: horai_medium_31k_roberta_large_e5_lr3
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`horai_medium_31k_roberta_large_e5_lr3` is a English model originally trained by stealthwriter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/horai_medium_31k_roberta_large_e5_lr3_en_5.2.0_3.0_1701436971991.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/horai_medium_31k_roberta_large_e5_lr3_en_5.2.0_3.0_1701436971991.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|horai_medium_31k_roberta_large_e5_lr3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/stealthwriter/HorAI-medium-31k-roberta-large-e5-lr3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-icebert_finetuned_iec_sentence_bs16_en.md b/docs/_posts/ahmedlone127/2023-12-01-icebert_finetuned_iec_sentence_bs16_en.md
new file mode 100644
index 000000000000..d0f93efb343a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-icebert_finetuned_iec_sentence_bs16_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English icebert_finetuned_iec_sentence_bs16 RoBertaForSequenceClassification from vesteinn
+author: John Snow Labs
+name: icebert_finetuned_iec_sentence_bs16
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`icebert_finetuned_iec_sentence_bs16` is a English model originally trained by vesteinn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/icebert_finetuned_iec_sentence_bs16_en_5.2.0_3.0_1701447262648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/icebert_finetuned_iec_sentence_bs16_en_5.2.0_3.0_1701447262648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|icebert_finetuned_iec_sentence_bs16|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.3 MB|
+
+## References
+
+https://huggingface.co/vesteinn/IceBERT-finetuned-iec-sentence-bs16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-idmgsp_roberta_train_abstract_en.md b/docs/_posts/ahmedlone127/2023-12-01-idmgsp_roberta_train_abstract_en.md
new file mode 100644
index 000000000000..f2ff10aa0c93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-idmgsp_roberta_train_abstract_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English idmgsp_roberta_train_abstract RoBertaForSequenceClassification from tum-nlp
+author: John Snow Labs
+name: idmgsp_roberta_train_abstract
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`idmgsp_roberta_train_abstract` is a English model originally trained by tum-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/idmgsp_roberta_train_abstract_en_5.2.0_3.0_1701448975677.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/idmgsp_roberta_train_abstract_en_5.2.0_3.0_1701448975677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|idmgsp_roberta_train_abstract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|448.8 MB|
+
+## References
+
+https://huggingface.co/tum-nlp/IDMGSP-RoBERTa-TRAIN-ABSTRACT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-imdb_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-01-imdb_roberta_en.md
new file mode 100644
index 000000000000..490e5617d650
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-imdb_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English imdb_roberta RoBertaForSequenceClassification from smiller324
+author: John Snow Labs
+name: imdb_roberta
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_roberta` is a English model originally trained by smiller324.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_roberta_en_5.2.0_3.0_1701389949500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_roberta_en_5.2.0_3.0_1701389949500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.0 MB|
+
+## References
+
+https://huggingface.co/smiller324/imdb_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-imp_hatred_en.md b/docs/_posts/ahmedlone127/2023-12-01-imp_hatred_en.md
new file mode 100644
index 000000000000..78d19eaba3fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-imp_hatred_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English imp_hatred RoBertaForSequenceClassification from crcb
+author: John Snow Labs
+name: imp_hatred
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imp_hatred` is a English model originally trained by crcb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imp_hatred_en_5.2.0_3.0_1701433872403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imp_hatred_en_5.2.0_3.0_1701433872403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imp_hatred|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|439.0 MB|
+
+## References
+
+https://huggingface.co/crcb/imp_hatred
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-ipc_level1_a_en.md b/docs/_posts/ahmedlone127/2023-12-01-ipc_level1_a_en.md
new file mode 100644
index 000000000000..94909ba7ff62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-ipc_level1_a_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ipc_level1_a RoBertaForSequenceClassification from intelcomp
+author: John Snow Labs
+name: ipc_level1_a
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ipc_level1_a` is a English model originally trained by intelcomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ipc_level1_a_en_5.2.0_3.0_1701433244514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ipc_level1_a_en_5.2.0_3.0_1701433244514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ipc_level1_a|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/intelcomp/ipc_level1_A
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-kgrouping_roberta_large_en.md b/docs/_posts/ahmedlone127/2023-12-01-kgrouping_roberta_large_en.md
new file mode 100644
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@@ -0,0 +1,97 @@
+---
+layout: model
+title: English kgrouping_roberta_large RoBertaForSequenceClassification from Maunish
+author: John Snow Labs
+name: kgrouping_roberta_large
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kgrouping_roberta_large` is a English model originally trained by Maunish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kgrouping_roberta_large_en_5.2.0_3.0_1701437793439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kgrouping_roberta_large_en_5.2.0_3.0_1701437793439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kgrouping_roberta_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Maunish/kgrouping-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-khipu_finetuned_amazon_reviews_multi_osanseviero_en.md b/docs/_posts/ahmedlone127/2023-12-01-khipu_finetuned_amazon_reviews_multi_osanseviero_en.md
new file mode 100644
index 000000000000..735c1eed5cf2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-khipu_finetuned_amazon_reviews_multi_osanseviero_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English khipu_finetuned_amazon_reviews_multi_osanseviero RoBertaForSequenceClassification from osanseviero
+author: John Snow Labs
+name: khipu_finetuned_amazon_reviews_multi_osanseviero
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`khipu_finetuned_amazon_reviews_multi_osanseviero` is a English model originally trained by osanseviero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_osanseviero_en_5.2.0_3.0_1701426706995.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_osanseviero_en_5.2.0_3.0_1701426706995.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|khipu_finetuned_amazon_reviews_multi_osanseviero|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.3 MB|
+
+## References
+
+https://huggingface.co/osanseviero/khipu-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-khu_text_classification_roberta_base_sept_2022_en.md b/docs/_posts/ahmedlone127/2023-12-01-khu_text_classification_roberta_base_sept_2022_en.md
new file mode 100644
index 000000000000..5e40a55339e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-khu_text_classification_roberta_base_sept_2022_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English khu_text_classification_roberta_base_sept_2022 RoBertaForSequenceClassification from sabhashanki
+author: John Snow Labs
+name: khu_text_classification_roberta_base_sept_2022
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`khu_text_classification_roberta_base_sept_2022` is a English model originally trained by sabhashanki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/khu_text_classification_roberta_base_sept_2022_en_5.2.0_3.0_1701471141580.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/khu_text_classification_roberta_base_sept_2022_en_5.2.0_3.0_1701471141580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|khu_text_classification_roberta_base_sept_2022|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/sabhashanki/khu-text-classification-roberta-base-sept-2022
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-lever_gsm8k_codex_en.md b/docs/_posts/ahmedlone127/2023-12-01-lever_gsm8k_codex_en.md
new file mode 100644
index 000000000000..38fa09873774
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-lever_gsm8k_codex_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English lever_gsm8k_codex RoBertaForSequenceClassification from niansong1996
+author: John Snow Labs
+name: lever_gsm8k_codex
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lever_gsm8k_codex` is a English model originally trained by niansong1996.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lever_gsm8k_codex_en_5.2.0_3.0_1701447346138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lever_gsm8k_codex_en_5.2.0_3.0_1701447346138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lever_gsm8k_codex|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/niansong1996/lever-gsm8k-codex
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-mbti_classification_roberta_base_shunian_en.md b/docs/_posts/ahmedlone127/2023-12-01-mbti_classification_roberta_base_shunian_en.md
new file mode 100644
index 000000000000..00f3707a4968
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-mbti_classification_roberta_base_shunian_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mbti_classification_roberta_base_shunian RoBertaForSequenceClassification from Shunian
+author: John Snow Labs
+name: mbti_classification_roberta_base_shunian
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbti_classification_roberta_base_shunian` is a English model originally trained by Shunian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbti_classification_roberta_base_shunian_en_5.2.0_3.0_1701427086959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbti_classification_roberta_base_shunian_en_5.2.0_3.0_1701427086959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbti_classification_roberta_base_shunian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.8 MB|
+
+## References
+
+https://huggingface.co/Shunian/mbti-classification-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-methane_solution_en.md b/docs/_posts/ahmedlone127/2023-12-01-methane_solution_en.md
new file mode 100644
index 000000000000..a6dd10eed2ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-methane_solution_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English methane_solution RoBertaForSequenceClassification from TingluZ
+author: John Snow Labs
+name: methane_solution
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`methane_solution` is a English model originally trained by TingluZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/methane_solution_en_5.2.0_3.0_1701431344887.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/methane_solution_en_5.2.0_3.0_1701431344887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|methane_solution|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.6 MB|
+
+## References
+
+https://huggingface.co/TingluZ/methane-solution
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-monoroberta_en.md b/docs/_posts/ahmedlone127/2023-12-01-monoroberta_en.md
new file mode 100644
index 000000000000..8a8bf35e2dd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-monoroberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English monoroberta RoBertaForSequenceClassification from veneres
+author: John Snow Labs
+name: monoroberta
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`monoroberta` is a English model originally trained by veneres.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/monoroberta_en_5.2.0_3.0_1701416665962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/monoroberta_en_5.2.0_3.0_1701416665962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|monoroberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.6 MB|
+
+## References
+
+https://huggingface.co/veneres/monoroberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-mood_you_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-01-mood_you_classifier_en.md
new file mode 100644
index 000000000000..96294e0c5438
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-mood_you_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mood_you_classifier RoBertaForSequenceClassification from nicolauduran45
+author: John Snow Labs
+name: mood_you_classifier
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mood_you_classifier` is a English model originally trained by nicolauduran45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mood_you_classifier_en_5.2.0_3.0_1701394675449.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mood_you_classifier_en_5.2.0_3.0_1701394675449.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mood_you_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.0 MB|
+
+## References
+
+https://huggingface.co/nicolauduran45/mood-you-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-nace2_level1_42_en.md b/docs/_posts/ahmedlone127/2023-12-01-nace2_level1_42_en.md
new file mode 100644
index 000000000000..8cf3870f71cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-nace2_level1_42_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nace2_level1_42 RoBertaForSequenceClassification from intelcomp
+author: John Snow Labs
+name: nace2_level1_42
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nace2_level1_42` is a English model originally trained by intelcomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nace2_level1_42_en_5.2.0_3.0_1701469635185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nace2_level1_42_en_5.2.0_3.0_1701469635185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nace2_level1_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/intelcomp/nace2_level1_42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-nerd_nerd_random1_seed2_twitter_roberta_base_2019_90m_en.md b/docs/_posts/ahmedlone127/2023-12-01-nerd_nerd_random1_seed2_twitter_roberta_base_2019_90m_en.md
new file mode 100644
index 000000000000..516542e9ec1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-nerd_nerd_random1_seed2_twitter_roberta_base_2019_90m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nerd_nerd_random1_seed2_twitter_roberta_base_2019_90m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random1_seed2_twitter_roberta_base_2019_90m
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random1_seed2_twitter_roberta_base_2019_90m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed2_twitter_roberta_base_2019_90m_en_5.2.0_3.0_1701435125490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed2_twitter_roberta_base_2019_90m_en_5.2.0_3.0_1701435125490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random1_seed2_twitter_roberta_base_2019_90m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random1_seed2-twitter-roberta-base-2019-90m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-nerd_nerd_temporal_twitter_roberta_base_2021_124m_en.md b/docs/_posts/ahmedlone127/2023-12-01-nerd_nerd_temporal_twitter_roberta_base_2021_124m_en.md
new file mode 100644
index 000000000000..2fc62f084d4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-nerd_nerd_temporal_twitter_roberta_base_2021_124m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nerd_nerd_temporal_twitter_roberta_base_2021_124m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_temporal_twitter_roberta_base_2021_124m
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_temporal_twitter_roberta_base_2021_124m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_temporal_twitter_roberta_base_2021_124m_en_5.2.0_3.0_1701470843175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_temporal_twitter_roberta_base_2021_124m_en_5.2.0_3.0_1701470843175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_temporal_twitter_roberta_base_2021_124m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_temporal-twitter-roberta-base-2021-124m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-nerd_nerd_temporal_twitter_roberta_base_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-01-nerd_nerd_temporal_twitter_roberta_base_2022_154m_en.md
new file mode 100644
index 000000000000..5baece17134c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-nerd_nerd_temporal_twitter_roberta_base_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nerd_nerd_temporal_twitter_roberta_base_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_temporal_twitter_roberta_base_2022_154m
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_temporal_twitter_roberta_base_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_temporal_twitter_roberta_base_2022_154m_en_5.2.0_3.0_1701471136699.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_temporal_twitter_roberta_base_2022_154m_en_5.2.0_3.0_1701471136699.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_temporal_twitter_roberta_base_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_temporal-twitter-roberta-base-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-nli_roberta_base_finetuned_for_amazon_review_ratings_babyalpac_en.md b/docs/_posts/ahmedlone127/2023-12-01-nli_roberta_base_finetuned_for_amazon_review_ratings_babyalpac_en.md
new file mode 100644
index 000000000000..c23466ec9fcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-nli_roberta_base_finetuned_for_amazon_review_ratings_babyalpac_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nli_roberta_base_finetuned_for_amazon_review_ratings_babyalpac RoBertaForSequenceClassification from babyalpac
+author: John Snow Labs
+name: nli_roberta_base_finetuned_for_amazon_review_ratings_babyalpac
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nli_roberta_base_finetuned_for_amazon_review_ratings_babyalpac` is a English model originally trained by babyalpac.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nli_roberta_base_finetuned_for_amazon_review_ratings_babyalpac_en_5.2.0_3.0_1701414711515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nli_roberta_base_finetuned_for_amazon_review_ratings_babyalpac_en_5.2.0_3.0_1701414711515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nli_roberta_base_finetuned_for_amazon_review_ratings_babyalpac|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/babyalpac/nli-roberta-base-finetuned-for-amazon-review-ratings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-nli_roberta_base_finetuned_for_amazon_review_ratings_coleperg_en.md b/docs/_posts/ahmedlone127/2023-12-01-nli_roberta_base_finetuned_for_amazon_review_ratings_coleperg_en.md
new file mode 100644
index 000000000000..2f5b6fee34d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-nli_roberta_base_finetuned_for_amazon_review_ratings_coleperg_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nli_roberta_base_finetuned_for_amazon_review_ratings_coleperg RoBertaForSequenceClassification from coleperg
+author: John Snow Labs
+name: nli_roberta_base_finetuned_for_amazon_review_ratings_coleperg
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nli_roberta_base_finetuned_for_amazon_review_ratings_coleperg` is a English model originally trained by coleperg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nli_roberta_base_finetuned_for_amazon_review_ratings_coleperg_en_5.2.0_3.0_1701449836166.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nli_roberta_base_finetuned_for_amazon_review_ratings_coleperg_en_5.2.0_3.0_1701449836166.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nli_roberta_base_finetuned_for_amazon_review_ratings_coleperg|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/coleperg/nli-roberta-base-finetuned-for-amazon-review-ratings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-nli_roberta_base_finetuned_for_amazon_review_ratings_mrhalim2001_en.md b/docs/_posts/ahmedlone127/2023-12-01-nli_roberta_base_finetuned_for_amazon_review_ratings_mrhalim2001_en.md
new file mode 100644
index 000000000000..27458cd188ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-nli_roberta_base_finetuned_for_amazon_review_ratings_mrhalim2001_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nli_roberta_base_finetuned_for_amazon_review_ratings_mrhalim2001 RoBertaForSequenceClassification from mrhalim2001
+author: John Snow Labs
+name: nli_roberta_base_finetuned_for_amazon_review_ratings_mrhalim2001
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nli_roberta_base_finetuned_for_amazon_review_ratings_mrhalim2001` is a English model originally trained by mrhalim2001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nli_roberta_base_finetuned_for_amazon_review_ratings_mrhalim2001_en_5.2.0_3.0_1701471534690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nli_roberta_base_finetuned_for_amazon_review_ratings_mrhalim2001_en_5.2.0_3.0_1701471534690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nli_roberta_base_finetuned_for_amazon_review_ratings_mrhalim2001|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/mrhalim2001/nli-roberta-base-finetuned-for-amazon-review-ratings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-ogbv_gender_twtrobertabase_english_davidson_en.md b/docs/_posts/ahmedlone127/2023-12-01-ogbv_gender_twtrobertabase_english_davidson_en.md
new file mode 100644
index 000000000000..663445f573f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-ogbv_gender_twtrobertabase_english_davidson_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ogbv_gender_twtrobertabase_english_davidson RoBertaForSequenceClassification from Maha
+author: John Snow Labs
+name: ogbv_gender_twtrobertabase_english_davidson
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ogbv_gender_twtrobertabase_english_davidson` is a English model originally trained by Maha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ogbv_gender_twtrobertabase_english_davidson_en_5.2.0_3.0_1701393232809.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ogbv_gender_twtrobertabase_english_davidson_en_5.2.0_3.0_1701393232809.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ogbv_gender_twtrobertabase_english_davidson|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Maha/OGBV-gender-twtrobertabase-en-davidson
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-ogbv_gender_twtrobertabase_english_trac1_en.md b/docs/_posts/ahmedlone127/2023-12-01-ogbv_gender_twtrobertabase_english_trac1_en.md
new file mode 100644
index 000000000000..a4c96a29a867
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-ogbv_gender_twtrobertabase_english_trac1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ogbv_gender_twtrobertabase_english_trac1 RoBertaForSequenceClassification from Maha
+author: John Snow Labs
+name: ogbv_gender_twtrobertabase_english_trac1
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ogbv_gender_twtrobertabase_english_trac1` is a English model originally trained by Maha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ogbv_gender_twtrobertabase_english_trac1_en_5.2.0_3.0_1701395191498.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ogbv_gender_twtrobertabase_english_trac1_en_5.2.0_3.0_1701395191498.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ogbv_gender_twtrobertabase_english_trac1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Maha/OGBV-gender-twtrobertabase-en-trac1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-paraphrase_diversity_ranker_en.md b/docs/_posts/ahmedlone127/2023-12-01-paraphrase_diversity_ranker_en.md
new file mode 100644
index 000000000000..bb8102fd50da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-paraphrase_diversity_ranker_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English paraphrase_diversity_ranker RoBertaForSequenceClassification from Ashishkr
+author: John Snow Labs
+name: paraphrase_diversity_ranker
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`paraphrase_diversity_ranker` is a English model originally trained by Ashishkr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paraphrase_diversity_ranker_en_5.2.0_3.0_1701408082018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paraphrase_diversity_ranker_en_5.2.0_3.0_1701408082018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|paraphrase_diversity_ranker|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|452.2 MB|
+
+## References
+
+https://huggingface.co/Ashishkr/paraphrase_diversity_ranker
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-pc_6_100__roberta_en.md b/docs/_posts/ahmedlone127/2023-12-01-pc_6_100__roberta_en.md
new file mode 100644
index 000000000000..e94a918a582e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-pc_6_100__roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pc_6_100__roberta RoBertaForSequenceClassification from anony12sub34
+author: John Snow Labs
+name: pc_6_100__roberta
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pc_6_100__roberta` is a English model originally trained by anony12sub34.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pc_6_100__roberta_en_5.2.0_3.0_1701472668170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pc_6_100__roberta_en_5.2.0_3.0_1701472668170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pc_6_100__roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|457.2 MB|
+
+## References
+
+https://huggingface.co/anony12sub34/pc_6_100__roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-per_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-01-per_classifier_en.md
new file mode 100644
index 000000000000..52364995fc56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-per_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English per_classifier RoBertaForSequenceClassification from soulFoo
+author: John Snow Labs
+name: per_classifier
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`per_classifier` is a English model originally trained by soulFoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/per_classifier_en_5.2.0_3.0_1701392378873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/per_classifier_en_5.2.0_3.0_1701392378873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|per_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|424.1 MB|
+
+## References
+
+https://huggingface.co/soulFoo/per-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-platzi_distilroberta_base_mrpc_glue_juan_jose_cano_duque_en.md b/docs/_posts/ahmedlone127/2023-12-01-platzi_distilroberta_base_mrpc_glue_juan_jose_cano_duque_en.md
new file mode 100644
index 000000000000..9c45eb36e73d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-platzi_distilroberta_base_mrpc_glue_juan_jose_cano_duque_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_juan_jose_cano_duque RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_juan_jose_cano_duque
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_juan_jose_cano_duque` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_juan_jose_cano_duque_en_5.2.0_3.0_1701469708075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_juan_jose_cano_duque_en_5.2.0_3.0_1701469708075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_juan_jose_cano_duque|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distilroberta-base-mrpc-glue-juan-jose-cano-duque
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-pregnancy_model_en.md b/docs/_posts/ahmedlone127/2023-12-01-pregnancy_model_en.md
new file mode 100644
index 000000000000..57074d7afc9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-pregnancy_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English pregnancy_model RoBertaForSequenceClassification from skelley
+author: John Snow Labs
+name: pregnancy_model
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pregnancy_model` is a English model originally trained by skelley.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pregnancy_model_en_5.2.0_3.0_1701400297658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pregnancy_model_en_5.2.0_3.0_1701400297658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|puoberta_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|tn|
+|Size:|313.9 MB|
+
+## References
+
+https://huggingface.co/dsfsi/PuoBERTa-News
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-qa_consolidation_en.md b/docs/_posts/ahmedlone127/2023-12-01-qa_consolidation_en.md
new file mode 100644
index 000000000000..cadf5a689ed4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-qa_consolidation_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English qa_consolidation RoBertaForSequenceClassification from Salesforce
+author: John Snow Labs
+name: qa_consolidation
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_consolidation` is a English model originally trained by Salesforce.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_consolidation_en_5.2.0_3.0_1701469780994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_consolidation_en_5.2.0_3.0_1701469780994.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_consolidation|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|847.1 MB|
+
+## References
+
+https://huggingface.co/Salesforce/qa_consolidation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-quora_roberta_large_navteca_en.md b/docs/_posts/ahmedlone127/2023-12-01-quora_roberta_large_navteca_en.md
new file mode 100644
index 000000000000..123f28ab2669
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-quora_roberta_large_navteca_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English quora_roberta_large_navteca RoBertaForSequenceClassification from navteca
+author: John Snow Labs
+name: quora_roberta_large_navteca
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`quora_roberta_large_navteca` is a English model originally trained by navteca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/quora_roberta_large_navteca_en_5.2.0_3.0_1701409742254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/quora_roberta_large_navteca_en_5.2.0_3.0_1701409742254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|quora_roberta_large_navteca|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/navteca/quora-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-racism_finetuned_detests_29_10_2022_en.md b/docs/_posts/ahmedlone127/2023-12-01-racism_finetuned_detests_29_10_2022_en.md
new file mode 100644
index 000000000000..02c7c0688455
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-racism_finetuned_detests_29_10_2022_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English racism_finetuned_detests_29_10_2022 RoBertaForSequenceClassification from Pablo94
+author: John Snow Labs
+name: racism_finetuned_detests_29_10_2022
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`racism_finetuned_detests_29_10_2022` is a English model originally trained by Pablo94.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/racism_finetuned_detests_29_10_2022_en_5.2.0_3.0_1701471805618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/racism_finetuned_detests_29_10_2022_en_5.2.0_3.0_1701471805618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|racism_finetuned_detests_29_10_2022|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|449.6 MB|
+
+## References
+
+https://huggingface.co/Pablo94/racism-finetuned-detests-29-10-2022
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-rate_jokes_bert_en.md b/docs/_posts/ahmedlone127/2023-12-01-rate_jokes_bert_en.md
new file mode 100644
index 000000000000..b3e56f0741d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-rate_jokes_bert_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rate_jokes_bert RoBertaForSequenceClassification from mohameddhiab
+author: John Snow Labs
+name: rate_jokes_bert
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rate_jokes_bert` is a English model originally trained by mohameddhiab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rate_jokes_bert_en_5.2.0_3.0_1701471755545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rate_jokes_bert_en_5.2.0_3.0_1701471755545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rate_jokes_bert|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|420.8 MB|
+
+## References
+
+https://huggingface.co/mohameddhiab/rate-jokes-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-readability_spanish_benchmark_bertin_spanish_paragraphs_2class_en.md b/docs/_posts/ahmedlone127/2023-12-01-readability_spanish_benchmark_bertin_spanish_paragraphs_2class_en.md
new file mode 100644
index 000000000000..e4196c42d446
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-readability_spanish_benchmark_bertin_spanish_paragraphs_2class_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English readability_spanish_benchmark_bertin_spanish_paragraphs_2class RoBertaForSequenceClassification from lmvasque
+author: John Snow Labs
+name: readability_spanish_benchmark_bertin_spanish_paragraphs_2class
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`readability_spanish_benchmark_bertin_spanish_paragraphs_2class` is a English model originally trained by lmvasque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/readability_spanish_benchmark_bertin_spanish_paragraphs_2class_en_5.2.0_3.0_1701469983298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/readability_spanish_benchmark_bertin_spanish_paragraphs_2class_en_5.2.0_3.0_1701469983298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|readability_spanish_benchmark_bertin_spanish_paragraphs_2class|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.4 MB|
+
+## References
+
+https://huggingface.co/lmvasque/readability-es-benchmark-bertin-es-paragraphs-2class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-results_lazaro97_en.md b/docs/_posts/ahmedlone127/2023-12-01-results_lazaro97_en.md
new file mode 100644
index 000000000000..964c0fdd4b35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-results_lazaro97_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English results_lazaro97 RoBertaForSequenceClassification from Lazaro97
+author: John Snow Labs
+name: results_lazaro97
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_lazaro97` is a English model originally trained by Lazaro97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_lazaro97_en_5.2.0_3.0_1701413057993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_lazaro97_en_5.2.0_3.0_1701413057993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_lazaro97|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|432.5 MB|
+
+## References
+
+https://huggingface.co/Lazaro97/results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-reward_model_sandeep12345_en.md b/docs/_posts/ahmedlone127/2023-12-01-reward_model_sandeep12345_en.md
new file mode 100644
index 000000000000..356dbfa3965d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-reward_model_sandeep12345_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English reward_model_sandeep12345 RoBertaForSequenceClassification from sandeep12345
+author: John Snow Labs
+name: reward_model_sandeep12345
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reward_model_sandeep12345` is a English model originally trained by sandeep12345.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reward_model_sandeep12345_en_5.2.0_3.0_1701419945326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reward_model_sandeep12345_en_5.2.0_3.0_1701419945326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reward_model_sandeep12345|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/sandeep12345/reward_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-reward_model_thorirhrafn_en.md b/docs/_posts/ahmedlone127/2023-12-01-reward_model_thorirhrafn_en.md
new file mode 100644
index 000000000000..a5f5d478c3c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-reward_model_thorirhrafn_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English reward_model_thorirhrafn RoBertaForSequenceClassification from thorirhrafn
+author: John Snow Labs
+name: reward_model_thorirhrafn
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`reward_model_thorirhrafn` is a English model originally trained by thorirhrafn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/reward_model_thorirhrafn_en_5.2.0_3.0_1701438015314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/reward_model_thorirhrafn_en_5.2.0_3.0_1701438015314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|reward_model_thorirhrafn|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/thorirhrafn/reward_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-rewardmodelsmallerquestionwithtwolabelslengthjustified_sudiptopramanik_en.md b/docs/_posts/ahmedlone127/2023-12-01-rewardmodelsmallerquestionwithtwolabelslengthjustified_sudiptopramanik_en.md
new file mode 100644
index 000000000000..536bc2bcd74e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-rewardmodelsmallerquestionwithtwolabelslengthjustified_sudiptopramanik_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rewardmodelsmallerquestionwithtwolabelslengthjustified_sudiptopramanik RoBertaForSequenceClassification from SudiptoPramanik
+author: John Snow Labs
+name: rewardmodelsmallerquestionwithtwolabelslengthjustified_sudiptopramanik
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rewardmodelsmallerquestionwithtwolabelslengthjustified_sudiptopramanik` is a English model originally trained by SudiptoPramanik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rewardmodelsmallerquestionwithtwolabelslengthjustified_sudiptopramanik_en_5.2.0_3.0_1701399168754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rewardmodelsmallerquestionwithtwolabelslengthjustified_sudiptopramanik_en_5.2.0_3.0_1701399168754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rewardmodelsmallerquestionwithtwolabelslengthjustified_sudiptopramanik|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|433.3 MB|
+
+## References
+
+https://huggingface.co/SudiptoPramanik/RewardModelSmallerQuestionWithTwoLabelsLengthJustified
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-rlhf_reward_model_cambioml_en.md b/docs/_posts/ahmedlone127/2023-12-01-rlhf_reward_model_cambioml_en.md
new file mode 100644
index 000000000000..ccd2618f3482
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-rlhf_reward_model_cambioml_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rlhf_reward_model_cambioml RoBertaForSequenceClassification from cambioml
+author: John Snow Labs
+name: rlhf_reward_model_cambioml
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rlhf_reward_model_cambioml` is a English model originally trained by cambioml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rlhf_reward_model_cambioml_en_5.2.0_3.0_1701415818052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rlhf_reward_model_cambioml_en_5.2.0_3.0_1701415818052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rlhf_reward_model_cambioml|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|144.9 MB|
+
+## References
+
+https://huggingface.co/cambioml/rlhf-reward-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-rm_base_en.md b/docs/_posts/ahmedlone127/2023-12-01-rm_base_en.md
new file mode 100644
index 000000000000..eef3d920f5f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-rm_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English rm_base RoBertaForSequenceClassification from davidgaofc
+author: John Snow Labs
+name: rm_base
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rm_base` is a English model originally trained by davidgaofc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rm_base_en_5.2.0_3.0_1701396389219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rm_base_en_5.2.0_3.0_1701396389219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rm_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/davidgaofc/RM_base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-robbert_v2_dutch_finetuned_snli_en.md b/docs/_posts/ahmedlone127/2023-12-01-robbert_v2_dutch_finetuned_snli_en.md
new file mode 100644
index 000000000000..3435fe006c18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-robbert_v2_dutch_finetuned_snli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English robbert_v2_dutch_finetuned_snli RoBertaForSequenceClassification from LoicDL
+author: John Snow Labs
+name: robbert_v2_dutch_finetuned_snli
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robbert_v2_dutch_finetuned_snli` is a English model originally trained by LoicDL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robbert_v2_dutch_finetuned_snli_en_5.2.0_3.0_1701473173204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robbert_v2_dutch_finetuned_snli_en_5.2.0_3.0_1701473173204.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robbert_v2_dutch_finetuned_snli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.9 MB|
+
+## References
+
+https://huggingface.co/LoicDL/robbert-v2-dutch-finetuned-snli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_ag_news_202310232117_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_ag_news_202310232117_en.md
new file mode 100644
index 000000000000..24429c9ce65b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_ag_news_202310232117_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_ag_news_202310232117 RoBertaForSequenceClassification from DaymonQu
+author: John Snow Labs
+name: roberta_base_ag_news_202310232117
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ag_news_202310232117` is a English model originally trained by DaymonQu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_202310232117_en_5.2.0_3.0_1701393764964.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news_202310232117_en_5.2.0_3.0_1701393764964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ag_news_202310232117|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.9 MB|
+
+## References
+
+https://huggingface.co/DaymonQu/roberta-base_ag_news_202310232117
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_agnews_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_agnews_en.md
new file mode 100644
index 000000000000..59fba088110d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_agnews_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_agnews RoBertaForSequenceClassification from tamhuynh27
+author: John Snow Labs
+name: roberta_base_agnews
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_agnews` is a English model originally trained by tamhuynh27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_agnews_en_5.2.0_3.0_1701403813063.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_agnews_en_5.2.0_3.0_1701403813063.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_agnews|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/tamhuynh27/roberta-base-agnews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_biomedical_clinical_spanish_finetuned_text_classification_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_biomedical_clinical_spanish_finetuned_text_classification_en.md
new file mode 100644
index 000000000000..853d91ed6917
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_biomedical_clinical_spanish_finetuned_text_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_biomedical_clinical_spanish_finetuned_text_classification RoBertaForSequenceClassification from asdc
+author: John Snow Labs
+name: roberta_base_biomedical_clinical_spanish_finetuned_text_classification
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_biomedical_clinical_spanish_finetuned_text_classification` is a English model originally trained by asdc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_biomedical_clinical_spanish_finetuned_text_classification_en_5.2.0_3.0_1701405998741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_biomedical_clinical_spanish_finetuned_text_classification_en_5.2.0_3.0_1701405998741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_biomedical_clinical_spanish_finetuned_text_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|429.6 MB|
+
+## References
+
+https://huggingface.co/asdc/roberta-base-biomedical-clinical-es-finetuned-text_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_clasificacion_german_texto_supervisado_victorayora_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_clasificacion_german_texto_supervisado_victorayora_en.md
new file mode 100644
index 000000000000..992955895af1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_clasificacion_german_texto_supervisado_victorayora_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_clasificacion_german_texto_supervisado_victorayora RoBertaForSequenceClassification from VictorAyora
+author: John Snow Labs
+name: roberta_base_bne_clasificacion_german_texto_supervisado_victorayora
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_clasificacion_german_texto_supervisado_victorayora` is a English model originally trained by VictorAyora.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_clasificacion_german_texto_supervisado_victorayora_en_5.2.0_3.0_1701446986901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_clasificacion_german_texto_supervisado_victorayora_en_5.2.0_3.0_1701446986901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_clasificacion_german_texto_supervisado_victorayora|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.8 MB|
+
+## References
+
+https://huggingface.co/VictorAyora/roberta-base-bne-clasificacion-de-texto-supervisado
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_csalamea_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_csalamea_en.md
new file mode 100644
index 000000000000..eac674f3c9b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_csalamea_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_csalamea RoBertaForSequenceClassification from csalamea
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_csalamea
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_csalamea` is a English model originally trained by csalamea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_csalamea_en_5.2.0_3.0_1701406743541.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_csalamea_en_5.2.0_3.0_1701406743541.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_csalamea|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.8 MB|
+
+## References
+
+https://huggingface.co/csalamea/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_fjluque_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_fjluque_en.md
new file mode 100644
index 000000000000..c1d67b27ddb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_fjluque_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_fjluque RoBertaForSequenceClassification from fjluque
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_fjluque
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_fjluque` is a English model originally trained by fjluque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_fjluque_en_5.2.0_3.0_1701413689941.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_fjluque_en_5.2.0_3.0_1701413689941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_fjluque|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.1 MB|
+
+## References
+
+https://huggingface.co/fjluque/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_hackertec_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_hackertec_en.md
new file mode 100644
index 000000000000..41fbae0b14fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_hackertec_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_hackertec RoBertaForSequenceClassification from hackertec
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_hackertec
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_hackertec` is a English model originally trained by hackertec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_hackertec_en_5.2.0_3.0_1701474576968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_hackertec_en_5.2.0_3.0_1701474576968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_hackertec|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|431.9 MB|
+
+## References
+
+https://huggingface.co/hackertec/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_isabellakarabasz_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_isabellakarabasz_en.md
new file mode 100644
index 000000000000..f628d3eb1d10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_isabellakarabasz_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_isabellakarabasz RoBertaForSequenceClassification from IsabellaKarabasz
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_isabellakarabasz
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_isabellakarabasz` is a English model originally trained by IsabellaKarabasz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_isabellakarabasz_en_5.2.0_3.0_1701401077596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_isabellakarabasz_en_5.2.0_3.0_1701401077596.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_isabellakarabasz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|297.3 MB|
+
+## References
+
+https://huggingface.co/IsabellaKarabasz/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_lewtun_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_lewtun_en.md
new file mode 100644
index 000000000000..62a57a115cea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_lewtun_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_lewtun RoBertaForSequenceClassification from lewtun
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_lewtun
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_lewtun` is a English model originally trained by lewtun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_lewtun_en_5.2.0_3.0_1701426600881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_lewtun_en_5.2.0_3.0_1701426600881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_lewtun|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.7 MB|
+
+## References
+
+https://huggingface.co/lewtun/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_mybad2k_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_mybad2k_en.md
new file mode 100644
index 000000000000..97a70a7a4bc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_mybad2k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_mybad2k RoBertaForSequenceClassification from MyBad2K
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_mybad2k
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_mybad2k` is a English model originally trained by MyBad2K.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_mybad2k_en_5.2.0_3.0_1701389132693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_mybad2k_en_5.2.0_3.0_1701389132693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_mybad2k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.9 MB|
+
+## References
+
+https://huggingface.co/MyBad2K/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_proggleb_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_proggleb_en.md
new file mode 100644
index 000000000000..cd37c96d8dba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_proggleb_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_proggleb RoBertaForSequenceClassification from Proggleb
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_proggleb
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_proggleb` is a English model originally trained by Proggleb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_proggleb_en_5.2.0_3.0_1701420655458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_proggleb_en_5.2.0_3.0_1701420655458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_proggleb|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.5 MB|
+
+## References
+
+https://huggingface.co/Proggleb/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_taller_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_taller_en.md
new file mode 100644
index 000000000000..f9afa42fc6ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_taller_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_taller RoBertaForSequenceClassification from hackertec
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_taller
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_taller` is a English model originally trained by hackertec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_taller_en_5.2.0_3.0_1701420366037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_taller_en_5.2.0_3.0_1701420366037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_taller|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|431.9 MB|
+
+## References
+
+https://huggingface.co/hackertec/roberta-base-bne-finetuned-amazon_reviews_multi-taller
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_valenhumano_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_valenhumano_en.md
new file mode 100644
index 000000000000..c63be385057f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_amazon_reviews_multi_valenhumano_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_valenhumano RoBertaForSequenceClassification from ValenHumano
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_valenhumano
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_amazon_reviews_multi_valenhumano` is a English model originally trained by ValenHumano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_valenhumano_en_5.2.0_3.0_1701472018045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_valenhumano_en_5.2.0_3.0_1701472018045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_valenhumano|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.8 MB|
+
+## References
+
+https://huggingface.co/ValenHumano/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_pais_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_pais_en.md
new file mode 100644
index 000000000000..4f1195189c10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_pais_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_pais RoBertaForSequenceClassification from vg055
+author: John Snow Labs
+name: roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_pais
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_pais` is a English model originally trained by vg055.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_pais_en_5.2.0_3.0_1701443398214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_pais_en_5.2.0_3.0_1701443398214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_analisis_sentimiento_textos_turisticos_mx_pais|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.4 MB|
+
+## References
+
+https://huggingface.co/vg055/roberta-base-bne-finetuned-analisis-sentimiento-textos-turisticos-mx-pais
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_detests_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_detests_en.md
new file mode 100644
index 000000000000..543d9abbbee6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_detests_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_detests RoBertaForSequenceClassification from Pablo94
+author: John Snow Labs
+name: roberta_base_bne_finetuned_detests
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_detests` is a English model originally trained by Pablo94.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_detests_en_5.2.0_3.0_1701404135690.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_detests_en_5.2.0_3.0_1701404135690.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_detests|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|429.7 MB|
+
+## References
+
+https://huggingface.co/Pablo94/roberta-base-bne-finetuned-detests
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_personality_multi_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_personality_multi_en.md
new file mode 100644
index 000000000000..fcfb04798276
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_bne_finetuned_personality_multi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_personality_multi RoBertaForSequenceClassification from titi7242229
+author: John Snow Labs
+name: roberta_base_bne_finetuned_personality_multi
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_personality_multi` is a English model originally trained by titi7242229.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_personality_multi_en_5.2.0_3.0_1701406743450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_personality_multi_en_5.2.0_3.0_1701406743450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_personality_multi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.5 MB|
+
+## References
+
+https://huggingface.co/titi7242229/roberta-base-bne-finetuned_personality_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_catalan_finetuned_hate_speech_offensive_catalan_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_catalan_finetuned_hate_speech_offensive_catalan_en.md
new file mode 100644
index 000000000000..945f21de64e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_catalan_finetuned_hate_speech_offensive_catalan_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_catalan_finetuned_hate_speech_offensive_catalan RoBertaForSequenceClassification from JonatanGk
+author: John Snow Labs
+name: roberta_base_catalan_finetuned_hate_speech_offensive_catalan
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_catalan_finetuned_hate_speech_offensive_catalan` is a English model originally trained by JonatanGk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_catalan_finetuned_hate_speech_offensive_catalan_en_5.2.0_3.0_1701400732762.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_catalan_finetuned_hate_speech_offensive_catalan_en_5.2.0_3.0_1701400732762.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_catalan_v2_cased_wikicat_catalan|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ca|
+|Size:|459.6 MB|
+
+## References
+
+https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-wikicat-ca
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_cola_willheld_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_cola_willheld_en.md
new file mode 100644
index 000000000000..ed62f9d45823
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_cola_willheld_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_cola_willheld RoBertaForSequenceClassification from WillHeld
+author: John Snow Labs
+name: roberta_base_cola_willheld
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_cola_willheld` is a English model originally trained by WillHeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_cola_willheld_en_5.2.0_3.0_1701418768856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_cola_willheld_en_5.2.0_3.0_1701418768856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_cola_willheld|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.1 MB|
+
+## References
+
+https://huggingface.co/WillHeld/roberta-base-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_comma_correction_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_comma_correction_classifier_en.md
new file mode 100644
index 000000000000..dc48abeb359d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_comma_correction_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_comma_correction_classifier RoBertaForSequenceClassification from pavlichenko
+author: John Snow Labs
+name: roberta_base_comma_correction_classifier
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_comma_correction_classifier` is a English model originally trained by pavlichenko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_comma_correction_classifier_en_5.2.0_3.0_1701428126452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_comma_correction_classifier_en_5.2.0_3.0_1701428126452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_comma_correction_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|462.4 MB|
+
+## References
+
+https://huggingface.co/pavlichenko/roberta-base-comma-correction-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_fever_evidence_related_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_fever_evidence_related_en.md
new file mode 100644
index 000000000000..6252062dd3d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_fever_evidence_related_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_fever_evidence_related RoBertaForSequenceClassification from mwong
+author: John Snow Labs
+name: roberta_base_fever_evidence_related
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_fever_evidence_related` is a English model originally trained by mwong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_fever_evidence_related_en_5.2.0_3.0_1701472734873.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_fever_evidence_related_en_5.2.0_3.0_1701472734873.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_fever_evidence_related|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|300.4 MB|
+
+## References
+
+https://huggingface.co/mwong/roberta-base-fever-evidence-related
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_cola_jxuhf_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_cola_jxuhf_en.md
new file mode 100644
index 000000000000..d1b556d848b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_cola_jxuhf_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_cola_jxuhf RoBertaForSequenceClassification from jxuhf
+author: John Snow Labs
+name: roberta_base_finetuned_cola_jxuhf
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_cola_jxuhf` is a English model originally trained by jxuhf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_cola_jxuhf_en_5.2.0_3.0_1701441077853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_cola_jxuhf_en_5.2.0_3.0_1701441077853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_cola_jxuhf|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|434.8 MB|
+
+## References
+
+https://huggingface.co/jxuhf/roberta-base-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_highlight_detection_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_highlight_detection_en.md
new file mode 100644
index 000000000000..a263b2946302
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_highlight_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_highlight_detection RoBertaForSequenceClassification from Epidot
+author: John Snow Labs
+name: roberta_base_finetuned_highlight_detection
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_highlight_detection` is a English model originally trained by Epidot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_highlight_detection_en_5.2.0_3.0_1701432425839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_highlight_detection_en_5.2.0_3.0_1701432425839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_highlight_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|453.9 MB|
+
+## References
+
+https://huggingface.co/Epidot/roberta-base-finetuned-highlight-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_jigsaw_toxic_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_jigsaw_toxic_en.md
new file mode 100644
index 000000000000..72d45c6bbf2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_jigsaw_toxic_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_jigsaw_toxic RoBertaForSequenceClassification from affahrizain
+author: John Snow Labs
+name: roberta_base_finetuned_jigsaw_toxic
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_jigsaw_toxic` is a English model originally trained by affahrizain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_jigsaw_toxic_en_5.2.0_3.0_1701438436670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_jigsaw_toxic_en_5.2.0_3.0_1701438436670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_jigsaw_toxic|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|457.8 MB|
+
+## References
+
+https://huggingface.co/affahrizain/roberta-base-finetuned-jigsaw-toxic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_restaurant_reviews_sentiment_regression_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_restaurant_reviews_sentiment_regression_en.md
new file mode 100644
index 000000000000..842e1c6640b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_finetuned_restaurant_reviews_sentiment_regression_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_restaurant_reviews_sentiment_regression RoBertaForSequenceClassification from tillschwoerer
+author: John Snow Labs
+name: roberta_base_finetuned_restaurant_reviews_sentiment_regression
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_restaurant_reviews_sentiment_regression` is a English model originally trained by tillschwoerer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_restaurant_reviews_sentiment_regression_en_5.2.0_3.0_1701440448981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_restaurant_reviews_sentiment_regression_en_5.2.0_3.0_1701440448981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_restaurant_reviews_sentiment_regression|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|429.0 MB|
+
+## References
+
+https://huggingface.co/tillschwoerer/roberta-base-finetuned-restaurant-reviews-sentiment-regression
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_mnli_2e_5_42_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_mnli_2e_5_42_en.md
new file mode 100644
index 000000000000..9e07378579b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_mnli_2e_5_42_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_mnli_2e_5_42 RoBertaForSequenceClassification from TehranNLP-org
+author: John Snow Labs
+name: roberta_base_mnli_2e_5_42
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_mnli_2e_5_42` is a English model originally trained by TehranNLP-org.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_mnli_2e_5_42_en_5.2.0_3.0_1701442412885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_mnli_2e_5_42_en_5.2.0_3.0_1701442412885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_mnli_2e_5_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|462.5 MB|
+
+## References
+
+https://huggingface.co/TehranNLP-org/roberta-base-mnli-2e-5-42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_motivational_interviewing_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_motivational_interviewing_en.md
new file mode 100644
index 000000000000..aa51bfb94aa3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_motivational_interviewing_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_motivational_interviewing RoBertaForSequenceClassification from clulab
+author: John Snow Labs
+name: roberta_base_motivational_interviewing
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_motivational_interviewing` is a English model originally trained by clulab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_motivational_interviewing_en_5.2.0_3.0_1701413459661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_motivational_interviewing_en_5.2.0_3.0_1701413459661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_motivational_interviewing|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|416.9 MB|
+
+## References
+
+https://huggingface.co/clulab/roberta-base-motivational-interviewing
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_mrpc_2e_5_42_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_mrpc_2e_5_42_en.md
new file mode 100644
index 000000000000..681242fcb14a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_mrpc_2e_5_42_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_mrpc_2e_5_42 RoBertaForSequenceClassification from TehranNLP-org
+author: John Snow Labs
+name: roberta_base_mrpc_2e_5_42
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_mrpc_2e_5_42` is a English model originally trained by TehranNLP-org.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_mrpc_2e_5_42_en_5.2.0_3.0_1701414468698.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_mrpc_2e_5_42_en_5.2.0_3.0_1701414468698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_mrpc_2e_5_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|435.1 MB|
+
+## References
+
+https://huggingface.co/TehranNLP-org/roberta-base-mrpc-2e-5-42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_news_category_top10_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_news_category_top10_en.md
new file mode 100644
index 000000000000..2aa280d7bc03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_news_category_top10_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_news_category_top10 RoBertaForSequenceClassification from heegyu
+author: John Snow Labs
+name: roberta_base_news_category_top10
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_news_category_top10` is a English model originally trained by heegyu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_news_category_top10_en_5.2.0_3.0_1701434649660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_news_category_top10_en_5.2.0_3.0_1701434649660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_news_category_top10|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|462.9 MB|
+
+## References
+
+https://huggingface.co/heegyu/roberta-base-news-category-top10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_qnli_willheld_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_qnli_willheld_en.md
new file mode 100644
index 000000000000..753fcb4a29db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_qnli_willheld_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_qnli_willheld RoBertaForSequenceClassification from WillHeld
+author: John Snow Labs
+name: roberta_base_qnli_willheld
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_qnli_willheld` is a English model originally trained by WillHeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_qnli_willheld_en_5.2.0_3.0_1701409867119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_qnli_willheld_en_5.2.0_3.0_1701409867119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_qnli_willheld|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.6 MB|
+
+## References
+
+https://huggingface.co/WillHeld/roberta-base-qnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_qqp_willheld_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_qqp_willheld_en.md
new file mode 100644
index 000000000000..d5afc777ca93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_qqp_willheld_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_qqp_willheld RoBertaForSequenceClassification from WillHeld
+author: John Snow Labs
+name: roberta_base_qqp_willheld
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_qqp_willheld` is a English model originally trained by WillHeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_qqp_willheld_en_5.2.0_3.0_1701421534397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_qqp_willheld_en_5.2.0_3.0_1701421534397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_spanish_wikicat_spanish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|455.4 MB|
+
+## References
+
+https://huggingface.co/PlanTL-GOB-ES/roberta-base-es-wikicat-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_sts_b_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_sts_b_en.md
new file mode 100644
index 000000000000..10e351607798
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_sts_b_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_sts_b RoBertaForSequenceClassification from textattack
+author: John Snow Labs
+name: roberta_base_sts_b
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_sts_b` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_sts_b_en_5.2.0_3.0_1701404135673.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_sts_b_en_5.2.0_3.0_1701404135673.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_sts_b|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.5 MB|
+
+## References
+
+https://huggingface.co/textattack/roberta-base-STS-B
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_stsb_jeremiahz_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_stsb_jeremiahz_en.md
new file mode 100644
index 000000000000..85c0587e029f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_stsb_jeremiahz_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_stsb_jeremiahz RoBertaForSequenceClassification from JeremiahZ
+author: John Snow Labs
+name: roberta_base_stsb_jeremiahz
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_stsb_jeremiahz` is a English model originally trained by JeremiahZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_stsb_jeremiahz_en_5.2.0_3.0_1701398502041.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_stsb_jeremiahz_en_5.2.0_3.0_1701398502041.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_stsb_jeremiahz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.5 MB|
+
+## References
+
+https://huggingface.co/JeremiahZ/roberta-base-stsb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_topic_single_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_topic_single_en.md
new file mode 100644
index 000000000000..48c7e03fdd17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_topic_single_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_topic_single RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_base_topic_single
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_topic_single` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_topic_single_en_5.2.0_3.0_1701433586288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_topic_single_en_5.2.0_3.0_1701433586288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_topic_single|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|440.5 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/roberta-base-topic-single
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_tweet_topic_multi_all_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_tweet_topic_multi_all_en.md
new file mode 100644
index 000000000000..d19f54119a97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_tweet_topic_multi_all_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_tweet_topic_multi_all RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_base_tweet_topic_multi_all
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_tweet_topic_multi_all` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_topic_multi_all_en_5.2.0_3.0_1701417636395.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_topic_multi_all_en_5.2.0_3.0_1701417636395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_tweet_topic_multi_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.4 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/roberta-base-tweet-topic-multi-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_tweet_topic_single_all_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_tweet_topic_single_all_en.md
new file mode 100644
index 000000000000..4eb3ec286e4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_tweet_topic_single_all_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_tweet_topic_single_all RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_base_tweet_topic_single_all
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_tweet_topic_single_all` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_topic_single_all_en_5.2.0_3.0_1701472919128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_topic_single_all_en_5.2.0_3.0_1701472919128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_tweet_topic_single_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|440.5 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/roberta-base-tweet-topic-single-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_twitter_pop_binary_sentiment_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_twitter_pop_binary_sentiment_en.md
new file mode 100644
index 000000000000..de82b198c7b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_twitter_pop_binary_sentiment_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_twitter_pop_binary_sentiment RoBertaForSequenceClassification from guyhadad01
+author: John Snow Labs
+name: roberta_base_twitter_pop_binary_sentiment
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_twitter_pop_binary_sentiment` is a English model originally trained by guyhadad01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_twitter_pop_binary_sentiment_en_5.2.0_3.0_1701470589125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_twitter_pop_binary_sentiment_en_5.2.0_3.0_1701470589125.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_twitter_pop_binary_sentiment|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/guyhadad01/Roberta-base-twitter-pop-binary-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_vira_dialog_acts_live_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_vira_dialog_acts_live_en.md
new file mode 100644
index 000000000000..82be1fbb36a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_vira_dialog_acts_live_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_vira_dialog_acts_live RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: roberta_base_vira_dialog_acts_live
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_vira_dialog_acts_live` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_vira_dialog_acts_live_en_5.2.0_3.0_1701419032375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_vira_dialog_acts_live_en_5.2.0_3.0_1701419032375.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_vira_dialog_acts_live|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|417.0 MB|
+
+## References
+
+https://huggingface.co/ibm/roberta-base-vira-dialog-acts-live
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_base_yelp_full_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_yelp_full_en.md
new file mode 100644
index 000000000000..4f9d12d22b46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_base_yelp_full_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_yelp_full RoBertaForSequenceClassification from jjezabek
+author: John Snow Labs
+name: roberta_base_yelp_full
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_yelp_full` is a English model originally trained by jjezabek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_yelp_full_en_5.2.0_3.0_1701438935852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_yelp_full_en_5.2.0_3.0_1701438935852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_yelp_full|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|462.6 MB|
+
+## References
+
+https://huggingface.co/jjezabek/roberta-base-yelp_full
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_crypto_profiling_task1_2_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_crypto_profiling_task1_2_en.md
new file mode 100644
index 000000000000..70a69a9a9437
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_crypto_profiling_task1_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_crypto_profiling_task1_2 RoBertaForSequenceClassification from pabagcha
+author: John Snow Labs
+name: roberta_crypto_profiling_task1_2
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_crypto_profiling_task1_2` is a English model originally trained by pabagcha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_crypto_profiling_task1_2_en_5.2.0_3.0_1701469545332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_crypto_profiling_task1_2_en_5.2.0_3.0_1701469545332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_crypto_profiling_task1_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/pabagcha/roberta_crypto_profiling_task1_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_emo_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_emo_en.md
new file mode 100644
index 000000000000..1ab5e79a8f71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_emo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_emo RoBertaForSequenceClassification from gustavecortal
+author: John Snow Labs
+name: roberta_emo
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_emo` is a English model originally trained by gustavecortal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_emo_en_5.2.0_3.0_1701469815331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_emo_en_5.2.0_3.0_1701469815331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_emo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/gustavecortal/roberta_emo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_feature_assamese_text_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_feature_assamese_text_en.md
new file mode 100644
index 000000000000..a2fdb3282478
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_feature_assamese_text_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_feature_assamese_text RoBertaForSequenceClassification from SajjadAyoubi
+author: John Snow Labs
+name: roberta_feature_assamese_text
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_feature_assamese_text` is a English model originally trained by SajjadAyoubi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_feature_assamese_text_en_5.2.0_3.0_1701414936981.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_feature_assamese_text_en_5.2.0_3.0_1701414936981.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_feature_assamese_text|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.2 MB|
+
+## References
+
+https://huggingface.co/SajjadAyoubi/roberta-feature-as-text
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_cpv_spanish_oeg_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_cpv_spanish_oeg_en.md
new file mode 100644
index 000000000000..49310605ee95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_cpv_spanish_oeg_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_finetuned_cpv_spanish_oeg RoBertaForSequenceClassification from oeg
+author: John Snow Labs
+name: roberta_finetuned_cpv_spanish_oeg
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_cpv_spanish_oeg` is a English model originally trained by oeg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_cpv_spanish_oeg_en_5.2.0_3.0_1701432926763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_cpv_spanish_oeg_en_5.2.0_3.0_1701432926763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_cpv_spanish_oeg|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|455.6 MB|
+
+## References
+
+https://huggingface.co/oeg/roberta-finetuned-CPV_Spanish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_snips_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_snips_en.md
new file mode 100644
index 000000000000..fbad1ce127f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_snips_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_finetuned_snips RoBertaForSequenceClassification from benayas
+author: John Snow Labs
+name: roberta_finetuned_snips
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_snips` is a English model originally trained by benayas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_snips_en_5.2.0_3.0_1701435127510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_snips_en_5.2.0_3.0_1701435127510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_snips|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|435.2 MB|
+
+## References
+
+https://huggingface.co/benayas/roberta-finetuned-snips
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_webclassification_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_webclassification_en.md
new file mode 100644
index 000000000000..3ddb1449bc57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_webclassification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_finetuned_webclassification RoBertaForSequenceClassification from mnavas
+author: John Snow Labs
+name: roberta_finetuned_webclassification
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_webclassification` is a English model originally trained by mnavas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_webclassification_en_5.2.0_3.0_1701390662539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_webclassification_en_5.2.0_3.0_1701390662539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_webclassification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|850.9 MB|
+
+## References
+
+https://huggingface.co/mnavas/roberta-finetuned-WebClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_webclassification_v2_smalllinguaenv2_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_webclassification_v2_smalllinguaenv2_en.md
new file mode 100644
index 000000000000..ecc459b605b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_finetuned_webclassification_v2_smalllinguaenv2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_finetuned_webclassification_v2_smalllinguaenv2 RoBertaForSequenceClassification from mnavas
+author: John Snow Labs
+name: roberta_finetuned_webclassification_v2_smalllinguaenv2
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_webclassification_v2_smalllinguaenv2` is a English model originally trained by mnavas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_webclassification_v2_smalllinguaenv2_en_5.2.0_3.0_1701430034216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_webclassification_v2_smalllinguaenv2_en_5.2.0_3.0_1701430034216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_webclassification_v2_smalllinguaenv2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|836.5 MB|
+
+## References
+
+https://huggingface.co/mnavas/roberta-finetuned-WebClassification-v2-smalllinguaENv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_for_eyewitness_confidence_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_for_eyewitness_confidence_en.md
new file mode 100644
index 000000000000..d77597c4b826
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_for_eyewitness_confidence_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_for_eyewitness_confidence RoBertaForSequenceClassification from psheaton
+author: John Snow Labs
+name: roberta_for_eyewitness_confidence
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_for_eyewitness_confidence` is a English model originally trained by psheaton.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_for_eyewitness_confidence_en_5.2.0_3.0_1701402568956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_for_eyewitness_confidence_en_5.2.0_3.0_1701402568956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_for_eyewitness_confidence|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|418.0 MB|
+
+## References
+
+https://huggingface.co/psheaton/RoBERTa_for_eyewitness_confidence
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_goemotions_6_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_goemotions_6_en.md
new file mode 100644
index 000000000000..360f48ec37c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_goemotions_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_goemotions_6 RoBertaForSequenceClassification from Nakul24
+author: John Snow Labs
+name: roberta_goemotions_6
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_goemotions_6` is a English model originally trained by Nakul24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_goemotions_6_en_5.2.0_3.0_1701470271953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_goemotions_6_en_5.2.0_3.0_1701470271953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_goemotions_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|440.0 MB|
+
+## References
+
+https://huggingface.co/Nakul24/RoBERTa-Goemotions-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_large_2_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_2_en.md
new file mode 100644
index 000000000000..2ad6f7725bb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_2 RoBertaForSequenceClassification from hagara
+author: John Snow Labs
+name: roberta_large_2
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_2` is a English model originally trained by hagara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_2_en_5.2.0_3.0_1701407063714.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_2_en_5.2.0_3.0_1701407063714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/hagara/roberta-large-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_large_bne_finetuned_go_emotions_spanish_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_bne_finetuned_go_emotions_spanish_en.md
new file mode 100644
index 000000000000..7cce47690369
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_bne_finetuned_go_emotions_spanish_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_bne_finetuned_go_emotions_spanish RoBertaForSequenceClassification from mrm8488
+author: John Snow Labs
+name: roberta_large_bne_finetuned_go_emotions_spanish
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_bne_finetuned_go_emotions_spanish` is a English model originally trained by mrm8488.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_bne_finetuned_go_emotions_spanish_en_5.2.0_3.0_1701440822559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_bne_finetuned_go_emotions_spanish_en_5.2.0_3.0_1701440822559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_bne_finetuned_go_emotions_spanish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/mrm8488/roberta-large-bne-finetuned-go_emotions-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_large_boolq_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_boolq_finetuned_en.md
new file mode 100644
index 000000000000..5100ede1fb6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_boolq_finetuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_boolq_finetuned RoBertaForSequenceClassification from apugachev
+author: John Snow Labs
+name: roberta_large_boolq_finetuned
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_boolq_finetuned` is a English model originally trained by apugachev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_boolq_finetuned_en_5.2.0_3.0_1701470492122.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_boolq_finetuned_en_5.2.0_3.0_1701470492122.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_boolq_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/apugachev/roberta-large-boolq-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_large_dominant_culture_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_dominant_culture_en.md
new file mode 100644
index 000000000000..7ac0a7eb25b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_dominant_culture_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_dominant_culture RoBertaForSequenceClassification from CultureBERT
+author: John Snow Labs
+name: roberta_large_dominant_culture
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_dominant_culture` is a English model originally trained by CultureBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_dominant_culture_en_5.2.0_3.0_1701402367828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_dominant_culture_en_5.2.0_3.0_1701402367828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_dominant_culture|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/CultureBERT/roberta-large-dominant-culture
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_large_finetuned_code_mixed_ds_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_finetuned_code_mixed_ds_en.md
new file mode 100644
index 000000000000..b9c89d1a8c39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_finetuned_code_mixed_ds_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_finetuned_code_mixed_ds RoBertaForSequenceClassification from IIIT-L
+author: John Snow Labs
+name: roberta_large_finetuned_code_mixed_ds
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_code_mixed_ds` is a English model originally trained by IIIT-L.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_code_mixed_ds_en_5.2.0_3.0_1701472977507.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_code_mixed_ds_en_5.2.0_3.0_1701472977507.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_code_mixed_ds|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/IIIT-L/roberta-large-finetuned-code-mixed-DS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_large_go_emotions_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_go_emotions_en.md
new file mode 100644
index 000000000000..aacd778900fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_go_emotions_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_go_emotions RoBertaForSequenceClassification from tasinhoque
+author: John Snow Labs
+name: roberta_large_go_emotions
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_go_emotions` is a English model originally trained by tasinhoque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_go_emotions_en_5.2.0_3.0_1701408713681.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_go_emotions_en_5.2.0_3.0_1701408713681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_go_emotions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tasinhoque/roberta-large-go-emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_large_hate_offensive_normal_speech_lr_2e_05_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_hate_offensive_normal_speech_lr_2e_05_en.md
new file mode 100644
index 000000000000..1a22fcbe32a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_hate_offensive_normal_speech_lr_2e_05_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_hate_offensive_normal_speech_lr_2e_05 RoBertaForSequenceClassification from DrishtiSharma
+author: John Snow Labs
+name: roberta_large_hate_offensive_normal_speech_lr_2e_05
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_hate_offensive_normal_speech_lr_2e_05` is a English model originally trained by DrishtiSharma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_hate_offensive_normal_speech_lr_2e_05_en_5.2.0_3.0_1701475006129.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_hate_offensive_normal_speech_lr_2e_05_en_5.2.0_3.0_1701475006129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_hate_offensive_normal_speech_lr_2e_05|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/DrishtiSharma/roberta-large-hate-offensive-normal-speech-lr-2e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_large_qa_suffix_defteval_t6_st1_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_qa_suffix_defteval_t6_st1_en.md
new file mode 100644
index 000000000000..2772d965a47e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_qa_suffix_defteval_t6_st1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_qa_suffix_defteval_t6_st1 RoBertaForSequenceClassification from tobiaslee
+author: John Snow Labs
+name: roberta_large_qa_suffix_defteval_t6_st1
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_qa_suffix_defteval_t6_st1` is a English model originally trained by tobiaslee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_qa_suffix_defteval_t6_st1_en_5.2.0_3.0_1701470853958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_qa_suffix_defteval_t6_st1_en_5.2.0_3.0_1701470853958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_qa_suffix_defteval_t6_st1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tobiaslee/roberta-large-qa-suffix-defteval-t6-st1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_large_vira_intents_mod_gpt4_data_aug_ep5_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_vira_intents_mod_gpt4_data_aug_ep5_en.md
new file mode 100644
index 000000000000..3603293e0348
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_large_vira_intents_mod_gpt4_data_aug_ep5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_vira_intents_mod_gpt4_data_aug_ep5 RoBertaForSequenceClassification from vira-chatbot
+author: John Snow Labs
+name: roberta_large_vira_intents_mod_gpt4_data_aug_ep5
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_vira_intents_mod_gpt4_data_aug_ep5` is a English model originally trained by vira-chatbot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_vira_intents_mod_gpt4_data_aug_ep5_en_5.2.0_3.0_1701449193325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_vira_intents_mod_gpt4_data_aug_ep5_en_5.2.0_3.0_1701449193325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_vira_intents_mod_gpt4_data_aug_ep5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/vira-chatbot/roberta-large-vira-intents-mod-gpt4-data-aug-ep5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_mental_health_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_mental_health_en.md
new file mode 100644
index 000000000000..6e955f4bd3a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_mental_health_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_mental_health RoBertaForSequenceClassification from fzetter
+author: John Snow Labs
+name: roberta_mental_health
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_mental_health` is a English model originally trained by fzetter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_mental_health_en_5.2.0_3.0_1701451284388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_mental_health_en_5.2.0_3.0_1701451284388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_mental_health|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|459.9 MB|
+
+## References
+
+https://huggingface.co/fzetter/roberta-mental-health
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_movie_review_capstone_2_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_movie_review_capstone_2_en.md
new file mode 100644
index 000000000000..3bcdc7c38c6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_movie_review_capstone_2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_movie_review_capstone_2 RoBertaForSequenceClassification from gyesibiney
+author: John Snow Labs
+name: roberta_movie_review_capstone_2
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_movie_review_capstone_2` is a English model originally trained by gyesibiney.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_movie_review_capstone_2_en_5.2.0_3.0_1701440449001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_movie_review_capstone_2_en_5.2.0_3.0_1701440449001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_movie_review_capstone_2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|454.5 MB|
+
+## References
+
+https://huggingface.co/gyesibiney/Roberta-movie-review-capstone_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_news_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_news_classifier_en.md
new file mode 100644
index 000000000000..bb041cd1b971
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_news_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_news_classifier RoBertaForSequenceClassification from russellc
+author: John Snow Labs
+name: roberta_news_classifier
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_news_classifier` is a English model originally trained by russellc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_news_classifier_en_5.2.0_3.0_1701470518313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_news_classifier_en_5.2.0_3.0_1701470518313.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_news_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|463.7 MB|
+
+## References
+
+https://huggingface.co/russellc/roberta-news-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_nrc_fear_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_nrc_fear_en.md
new file mode 100644
index 000000000000..c28cf0d6a06b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_nrc_fear_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_nrc_fear RoBertaForSequenceClassification from neal49
+author: John Snow Labs
+name: roberta_nrc_fear
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_nrc_fear` is a English model originally trained by neal49.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_nrc_fear_en_5.2.0_3.0_1701428126444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_nrc_fear_en_5.2.0_3.0_1701428126444.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_nrc_fear|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|431.8 MB|
+
+## References
+
+https://huggingface.co/neal49/roberta-nrc-fear
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_persuade_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_persuade_en.md
new file mode 100644
index 000000000000..eb84191c7027
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_persuade_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_persuade RoBertaForSequenceClassification from paragon-analytics
+author: John Snow Labs
+name: roberta_persuade
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_persuade` is a English model originally trained by paragon-analytics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_persuade_en_5.2.0_3.0_1701411036976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_persuade_en_5.2.0_3.0_1701411036976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_persuade|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.5 MB|
+
+## References
+
+https://huggingface.co/paragon-analytics/roberta_persuade
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_psychotherapy_eval_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_psychotherapy_eval_en.md
new file mode 100644
index 000000000000..ae9d92a26519
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_psychotherapy_eval_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_psychotherapy_eval RoBertaForSequenceClassification from margotwagner
+author: John Snow Labs
+name: roberta_psychotherapy_eval
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_psychotherapy_eval` is a English model originally trained by margotwagner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_psychotherapy_eval_en_5.2.0_3.0_1701437863930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_psychotherapy_eval_en_5.2.0_3.0_1701437863930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_psychotherapy_eval|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.1 MB|
+
+## References
+
+https://huggingface.co/margotwagner/roberta-psychotherapy-eval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_scarcasm_discriminator_xsy_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_scarcasm_discriminator_xsy_en.md
new file mode 100644
index 000000000000..1d799dd6c95c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_scarcasm_discriminator_xsy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_scarcasm_discriminator_xsy RoBertaForSequenceClassification from XSY
+author: John Snow Labs
+name: roberta_scarcasm_discriminator_xsy
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_scarcasm_discriminator_xsy` is a English model originally trained by XSY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_scarcasm_discriminator_xsy_en_5.2.0_3.0_1701470421172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_scarcasm_discriminator_xsy_en_5.2.0_3.0_1701470421172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_scarcasm_discriminator_xsy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|451.0 MB|
+
+## References
+
+https://huggingface.co/XSY/roberta-scarcasm-discriminator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_sentiment_classifier_aliyyah_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_sentiment_classifier_aliyyah_en.md
new file mode 100644
index 000000000000..365e752227a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_sentiment_classifier_aliyyah_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_sentiment_classifier_aliyyah RoBertaForSequenceClassification from Aliyyah
+author: John Snow Labs
+name: roberta_sentiment_classifier_aliyyah
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_sentiment_classifier_aliyyah` is a English model originally trained by Aliyyah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_sentiment_classifier_aliyyah_en_5.2.0_3.0_1701407346055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_sentiment_classifier_aliyyah_en_5.2.0_3.0_1701407346055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_sentiment_classifier_aliyyah|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.2 MB|
+
+## References
+
+https://huggingface.co/Aliyyah/Roberta-Sentiment-Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_sentiment_classifier_reginandcrabbe_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_sentiment_classifier_reginandcrabbe_en.md
new file mode 100644
index 000000000000..214fce58fa6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_sentiment_classifier_reginandcrabbe_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_sentiment_classifier_reginandcrabbe RoBertaForSequenceClassification from reginandcrabbe
+author: John Snow Labs
+name: roberta_sentiment_classifier_reginandcrabbe
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_sentiment_classifier_reginandcrabbe` is a English model originally trained by reginandcrabbe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_sentiment_classifier_reginandcrabbe_en_5.2.0_3.0_1701395194221.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_sentiment_classifier_reginandcrabbe_en_5.2.0_3.0_1701395194221.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_sentiment_classifier_reginandcrabbe|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.2 MB|
+
+## References
+
+https://huggingface.co/reginandcrabbe/Roberta-Sentiment-Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_sentiments_spanish_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_sentiments_spanish_en.md
new file mode 100644
index 000000000000..00737a6bd50f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_sentiments_spanish_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_sentiments_spanish RoBertaForSequenceClassification from Manauu17
+author: John Snow Labs
+name: roberta_sentiments_spanish
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_sentiments_spanish` is a English model originally trained by Manauu17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_sentiments_spanish_en_5.2.0_3.0_1701431431847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_sentiments_spanish_en_5.2.0_3.0_1701431431847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_sentiments_spanish|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/Manauu17/roberta_sentiments_es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_temp_classifier_bootstrapped_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_temp_classifier_bootstrapped_en.md
new file mode 100644
index 000000000000..6b766c8b13d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_temp_classifier_bootstrapped_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_temp_classifier_bootstrapped RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_temp_classifier_bootstrapped
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_temp_classifier_bootstrapped` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_temp_classifier_bootstrapped_en_5.2.0_3.0_1701470632393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_temp_classifier_bootstrapped_en_5.2.0_3.0_1701470632393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_temp_classifier_bootstrapped|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|448.0 MB|
+
+## References
+
+https://huggingface.co/research-dump/roberta_temp_classifier_bootstrapped
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_twitter_sentiment_extraction_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_twitter_sentiment_extraction_en.md
new file mode 100644
index 000000000000..4a3502d25a53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_twitter_sentiment_extraction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_twitter_sentiment_extraction RoBertaForSequenceClassification from cruiser
+author: John Snow Labs
+name: roberta_twitter_sentiment_extraction
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_twitter_sentiment_extraction` is a English model originally trained by cruiser.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_twitter_sentiment_extraction_en_5.2.0_3.0_1701473340012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_twitter_sentiment_extraction_en_5.2.0_3.0_1701473340012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_twitter_sentiment_extraction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/cruiser/roberta-twitter-sentiment-extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-roberta_wiki_detector_en.md b/docs/_posts/ahmedlone127/2023-12-01-roberta_wiki_detector_en.md
new file mode 100644
index 000000000000..a0cec11c524b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-roberta_wiki_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_wiki_detector RoBertaForSequenceClassification from andreas122001
+author: John Snow Labs
+name: roberta_wiki_detector
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_wiki_detector` is a English model originally trained by andreas122001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_wiki_detector_en_5.2.0_3.0_1701390700769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_wiki_detector_en_5.2.0_3.0_1701390700769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_wiki_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/andreas122001/roberta-wiki-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-robertuito_base_uncased_emotion_en.md b/docs/_posts/ahmedlone127/2023-12-01-robertuito_base_uncased_emotion_en.md
new file mode 100644
index 000000000000..fb6cc8ec82c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-robertuito_base_uncased_emotion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English robertuito_base_uncased_emotion RoBertaForSequenceClassification from pysentimiento
+author: John Snow Labs
+name: robertuito_base_uncased_emotion
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertuito_base_uncased_emotion` is a English model originally trained by pysentimiento.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertuito_base_uncased_emotion_en_5.2.0_3.0_1701406624841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertuito_base_uncased_emotion_en_5.2.0_3.0_1701406624841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertuito_base_uncased_emotion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.4 MB|
+
+## References
+
+https://huggingface.co/pysentimiento/robertuito-base-uncased-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-sentence_sentiments_analysis_roberta_uholodala_en.md b/docs/_posts/ahmedlone127/2023-12-01-sentence_sentiments_analysis_roberta_uholodala_en.md
new file mode 100644
index 000000000000..56736a024cf1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-sentence_sentiments_analysis_roberta_uholodala_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentence_sentiments_analysis_roberta_uholodala RoBertaForSequenceClassification from UholoDala
+author: John Snow Labs
+name: sentence_sentiments_analysis_roberta_uholodala
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentence_sentiments_analysis_roberta_uholodala` is a English model originally trained by UholoDala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_sentiments_analysis_roberta_uholodala_en_5.2.0_3.0_1701470068813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_sentiments_analysis_roberta_uholodala_en_5.2.0_3.0_1701470068813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentence_sentiments_analysis_roberta_uholodala|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|461.1 MB|
+
+## References
+
+https://huggingface.co/UholoDala/sentence_sentiments_analysis_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-sentiment_analysis_sudhanvasp_en.md b/docs/_posts/ahmedlone127/2023-12-01-sentiment_analysis_sudhanvasp_en.md
new file mode 100644
index 000000000000..a4179d34d69f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-sentiment_analysis_sudhanvasp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_analysis_sudhanvasp RoBertaForSequenceClassification from sudhanvasp
+author: John Snow Labs
+name: sentiment_analysis_sudhanvasp
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_sudhanvasp` is a English model originally trained by sudhanvasp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_sudhanvasp_en_5.2.0_3.0_1701390908918.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_sudhanvasp_en_5.2.0_3.0_1701390908918.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_sudhanvasp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/sudhanvasp/Sentiment-Analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-sentiment_detector_en.md b/docs/_posts/ahmedlone127/2023-12-01-sentiment_detector_en.md
new file mode 100644
index 000000000000..6cce687c537a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-sentiment_detector_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_detector RoBertaForSequenceClassification from ishaansharma
+author: John Snow Labs
+name: sentiment_detector
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_detector` is a English model originally trained by ishaansharma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_detector_en_5.2.0_3.0_1701474238540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_detector_en_5.2.0_3.0_1701474238540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_detector|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/ishaansharma/sentiment-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-sentiment_metaverse_en.md b/docs/_posts/ahmedlone127/2023-12-01-sentiment_metaverse_en.md
new file mode 100644
index 000000000000..7e3d10f69f18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-sentiment_metaverse_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_metaverse RoBertaForSequenceClassification from agnesemi
+author: John Snow Labs
+name: sentiment_metaverse
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_metaverse` is a English model originally trained by agnesemi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_metaverse_en_5.2.0_3.0_1701473347957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_metaverse_en_5.2.0_3.0_1701473347957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_metaverse|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/agnesemi/sentiment-metaverse
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-sentiment_sentiment_small_random2_seed0_twitter_roberta_base_2019_90m_en.md b/docs/_posts/ahmedlone127/2023-12-01-sentiment_sentiment_small_random2_seed0_twitter_roberta_base_2019_90m_en.md
new file mode 100644
index 000000000000..e9e1dfc5868f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-sentiment_sentiment_small_random2_seed0_twitter_roberta_base_2019_90m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random2_seed0_twitter_roberta_base_2019_90m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random2_seed0_twitter_roberta_base_2019_90m
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random2_seed0_twitter_roberta_base_2019_90m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random2_seed0_twitter_roberta_base_2019_90m_en_5.2.0_3.0_1701422569491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random2_seed0_twitter_roberta_base_2019_90m_en_5.2.0_3.0_1701422569491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random2_seed0_twitter_roberta_base_2019_90m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random2_seed0-twitter-roberta-base-2019-90m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-01-sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2022_154m_en.md
new file mode 100644
index 000000000000..614327687854
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2022_154m
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2022_154m_en_5.2.0_3.0_1701431071551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2022_154m_en_5.2.0_3.0_1701431071551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random3_seed2_twitter_roberta_base_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random3_seed2-twitter-roberta-base-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-sentiment_sentiment_small_random3_seed2_twitter_roberta_base_dec2020_en.md b/docs/_posts/ahmedlone127/2023-12-01-sentiment_sentiment_small_random3_seed2_twitter_roberta_base_dec2020_en.md
new file mode 100644
index 000000000000..dcee5f5e55da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-sentiment_sentiment_small_random3_seed2_twitter_roberta_base_dec2020_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random3_seed2_twitter_roberta_base_dec2020 RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random3_seed2_twitter_roberta_base_dec2020
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random3_seed2_twitter_roberta_base_dec2020` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random3_seed2_twitter_roberta_base_dec2020_en_5.2.0_3.0_1701470938189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random3_seed2_twitter_roberta_base_dec2020_en_5.2.0_3.0_1701470938189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random3_seed2_twitter_roberta_base_dec2020|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random3_seed2-twitter-roberta-base-dec2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-sentimentalroberta_en.md b/docs/_posts/ahmedlone127/2023-12-01-sentimentalroberta_en.md
new file mode 100644
index 000000000000..846823ff111d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-sentimentalroberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentimentalroberta RoBertaForSequenceClassification from kojoboyoo
+author: John Snow Labs
+name: sentimentalroberta
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentimentalroberta` is a English model originally trained by kojoboyoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentimentalroberta_en_5.2.0_3.0_1701402367154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentimentalroberta_en_5.2.0_3.0_1701402367154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentimentalroberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|441.3 MB|
+
+## References
+
+https://huggingface.co/kojoboyoo/sentimentalroberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-sentimentroberta_babe_2epochs_en.md b/docs/_posts/ahmedlone127/2023-12-01-sentimentroberta_babe_2epochs_en.md
new file mode 100644
index 000000000000..a311e8c3e31a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-sentimentroberta_babe_2epochs_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentimentroberta_babe_2epochs RoBertaForSequenceClassification from jordankrishnayah
+author: John Snow Labs
+name: sentimentroberta_babe_2epochs
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentimentroberta_babe_2epochs` is a English model originally trained by jordankrishnayah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentimentroberta_babe_2epochs_en_5.2.0_3.0_1701391336331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentimentroberta_babe_2epochs_en_5.2.0_3.0_1701391336331.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentimentroberta_babe_2epochs|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/jordankrishnayah/sentimentROBERTA-BABE-2epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-subject_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-01-subject_classifier_en.md
new file mode 100644
index 000000000000..2265a46a152d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-subject_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English subject_classifier RoBertaForSequenceClassification from Jackett
+author: John Snow Labs
+name: subject_classifier
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`subject_classifier` is a English model originally trained by Jackett.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/subject_classifier_en_5.2.0_3.0_1701426046149.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/subject_classifier_en_5.2.0_3.0_1701426046149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|subject_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.4 MB|
+
+## References
+
+https://huggingface.co/Jackett/subject_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-summary_roberta_content_en.md b/docs/_posts/ahmedlone127/2023-12-01-summary_roberta_content_en.md
new file mode 100644
index 000000000000..1bf9e3cf9a8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-summary_roberta_content_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English summary_roberta_content RoBertaForSequenceClassification from tiedaar
+author: John Snow Labs
+name: summary_roberta_content
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`summary_roberta_content` is a English model originally trained by tiedaar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/summary_roberta_content_en_5.2.0_3.0_1701471623076.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/summary_roberta_content_en_5.2.0_3.0_1701471623076.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|summary_roberta_content|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.8 MB|
+
+## References
+
+https://huggingface.co/tiedaar/summary-roberta-content
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-tagger_en.md b/docs/_posts/ahmedlone127/2023-12-01-tagger_en.md
new file mode 100644
index 000000000000..e931529be87b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-tagger_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tagger RoBertaForSequenceClassification from yo
+author: John Snow Labs
+name: tagger
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tagger` is a English model originally trained by yo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tagger_en_5.2.0_3.0_1701428126185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tagger_en_5.2.0_3.0_1701428126185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tagger|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/yo/tagger
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-test_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-01-test_classifier_en.md
new file mode 100644
index 000000000000..5a3a37241a9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-test_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English test_classifier RoBertaForSequenceClassification from michellejieli
+author: John Snow Labs
+name: test_classifier
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_classifier` is a English model originally trained by michellejieli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_classifier_en_5.2.0_3.0_1701472500058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_classifier_en_5.2.0_3.0_1701472500058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/michellejieli/test_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-text_classification_roberta_base_sept2022_en.md b/docs/_posts/ahmedlone127/2023-12-01-text_classification_roberta_base_sept2022_en.md
new file mode 100644
index 000000000000..e0933e8bebc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-text_classification_roberta_base_sept2022_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English text_classification_roberta_base_sept2022 RoBertaForSequenceClassification from sabhashanki
+author: John Snow Labs
+name: text_classification_roberta_base_sept2022
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_roberta_base_sept2022` is a English model originally trained by sabhashanki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_roberta_base_sept2022_en_5.2.0_3.0_1701470780479.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_roberta_base_sept2022_en_5.2.0_3.0_1701470780479.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_roberta_base_sept2022|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/sabhashanki/text_classification-roberta_base_sept2022
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-thesis_freeform_en.md b/docs/_posts/ahmedlone127/2023-12-01-thesis_freeform_en.md
new file mode 100644
index 000000000000..48cd59198c67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-thesis_freeform_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English thesis_freeform RoBertaForSequenceClassification from maretamasaeva
+author: John Snow Labs
+name: thesis_freeform
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`thesis_freeform` is a English model originally trained by maretamasaeva.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/thesis_freeform_en_5.2.0_3.0_1701473179064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/thesis_freeform_en_5.2.0_3.0_1701473179064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|thesis_freeform|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|456.0 MB|
+
+## References
+
+https://huggingface.co/maretamasaeva/thesis-freeform
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-tickettagger_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-01-tickettagger_roberta_en.md
new file mode 100644
index 000000000000..c8bc3407a5e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-tickettagger_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tickettagger_roberta RoBertaForSequenceClassification from rafaelkallis
+author: John Snow Labs
+name: tickettagger_roberta
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tickettagger_roberta` is a English model originally trained by rafaelkallis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tickettagger_roberta_en_5.2.0_3.0_1701470355999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tickettagger_roberta_en_5.2.0_3.0_1701470355999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tickettagger_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/rafaelkallis/tickettagger-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-title_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-01-title_classifier_en.md
new file mode 100644
index 000000000000..8277d306a637
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-title_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English title_classifier RoBertaForSequenceClassification from xqewec
+author: John Snow Labs
+name: title_classifier
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`title_classifier` is a English model originally trained by xqewec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/title_classifier_en_5.2.0_3.0_1701417213581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/title_classifier_en_5.2.0_3.0_1701417213581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|title_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|426.1 MB|
+
+## References
+
+https://huggingface.co/xqewec/title_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-topic_topic_random2_seed2_roberta_base_en.md b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_random2_seed2_roberta_base_en.md
new file mode 100644
index 000000000000..d0cddd86fe0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_random2_seed2_roberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_random2_seed2_roberta_base RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random2_seed2_roberta_base
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random2_seed2_roberta_base` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random2_seed2_roberta_base_en_5.2.0_3.0_1701429547664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random2_seed2_roberta_base_en_5.2.0_3.0_1701429547664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random2_seed2_roberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|441.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random2_seed2-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-topic_topic_random3_seed2_twitter_roberta_base_dec2020_en.md b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_random3_seed2_twitter_roberta_base_dec2020_en.md
new file mode 100644
index 000000000000..d0fb4c68565f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_random3_seed2_twitter_roberta_base_dec2020_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_random3_seed2_twitter_roberta_base_dec2020 RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random3_seed2_twitter_roberta_base_dec2020
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random3_seed2_twitter_roberta_base_dec2020` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random3_seed2_twitter_roberta_base_dec2020_en_5.2.0_3.0_1701429683716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random3_seed2_twitter_roberta_base_dec2020_en_5.2.0_3.0_1701429683716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random3_seed2_twitter_roberta_base_dec2020|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random3_seed2-twitter-roberta-base-dec2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_bertweet_large_en.md b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_bertweet_large_en.md
new file mode 100644
index 000000000000..ad52f5851660
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_bertweet_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_temporal_bertweet_large RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_temporal_bertweet_large
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_temporal_bertweet_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_bertweet_large_en_5.2.0_3.0_1701425911687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_bertweet_large_en_5.2.0_3.0_1701425911687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_temporal_bertweet_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_temporal-bertweet-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_roberta_base_en.md b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_roberta_base_en.md
new file mode 100644
index 000000000000..61bb1d78bf7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_roberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_temporal_roberta_base RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_temporal_roberta_base
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_temporal_roberta_base` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_roberta_base_en_5.2.0_3.0_1701408488318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_roberta_base_en_5.2.0_3.0_1701408488318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_temporal_roberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|441.5 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_temporal-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_twitter_roberta_base_2021_124m_en.md b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_twitter_roberta_base_2021_124m_en.md
new file mode 100644
index 000000000000..1e26d7044770
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_twitter_roberta_base_2021_124m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_temporal_twitter_roberta_base_2021_124m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_temporal_twitter_roberta_base_2021_124m
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_temporal_twitter_roberta_base_2021_124m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_twitter_roberta_base_2021_124m_en_5.2.0_3.0_1701420076130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_twitter_roberta_base_2021_124m_en_5.2.0_3.0_1701420076130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_temporal_twitter_roberta_base_2021_124m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_temporal-twitter-roberta-base-2021-124m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_twitter_roberta_base_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_twitter_roberta_base_2022_154m_en.md
new file mode 100644
index 000000000000..618f080f501f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_twitter_roberta_base_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_temporal_twitter_roberta_base_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_temporal_twitter_roberta_base_2022_154m
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_temporal_twitter_roberta_base_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_twitter_roberta_base_2022_154m_en_5.2.0_3.0_1701396982558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_twitter_roberta_base_2022_154m_en_5.2.0_3.0_1701396982558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_temporal_twitter_roberta_base_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_temporal-twitter-roberta-base-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 000000000000..fad0e2d54688
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-topic_topic_temporal_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_temporal_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_temporal_twitter_roberta_large_2022_154m
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_temporal_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701411831281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701411831281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_temporal_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_temporal-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-tweet_emotion_eval_en.md b/docs/_posts/ahmedlone127/2023-12-01-tweet_emotion_eval_en.md
new file mode 100644
index 000000000000..3a5039801166
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-tweet_emotion_eval_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tweet_emotion_eval RoBertaForSequenceClassification from elozano
+author: John Snow Labs
+name: tweet_emotion_eval
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_emotion_eval` is a English model originally trained by elozano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_emotion_eval_en_5.2.0_3.0_1701448371926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_emotion_eval_en_5.2.0_3.0_1701448371926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweet_emotion_eval|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|440.6 MB|
+
+## References
+
+https://huggingface.co/elozano/tweet_emotion_eval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-tweeteval_roberta_5e_en.md b/docs/_posts/ahmedlone127/2023-12-01-tweeteval_roberta_5e_en.md
new file mode 100644
index 000000000000..9b48d68a5797
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-tweeteval_roberta_5e_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tweeteval_roberta_5e RoBertaForSequenceClassification from pig4431
+author: John Snow Labs
+name: tweeteval_roberta_5e
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweeteval_roberta_5e` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweeteval_roberta_5e_en_5.2.0_3.0_1701472825752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweeteval_roberta_5e_en_5.2.0_3.0_1701472825752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweeteval_roberta_5e|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.4 MB|
+
+## References
+
+https://huggingface.co/pig4431/TweetEval_roBERTa_5E
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2019_90m_tweet_topic_single_all_en.md b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2019_90m_tweet_topic_single_all_en.md
new file mode 100644
index 000000000000..ad59b8b0bf66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2019_90m_tweet_topic_single_all_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_2019_90m_tweet_topic_single_all RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_2019_90m_tweet_topic_single_all
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_2019_90m_tweet_topic_single_all` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2019_90m_tweet_topic_single_all_en_5.2.0_3.0_1701470450407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2019_90m_tweet_topic_single_all_en_5.2.0_3.0_1701470450407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_2019_90m_tweet_topic_single_all|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-2019-90m-tweet-topic-single-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2021_124m_emoji_en.md b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2021_124m_emoji_en.md
new file mode 100644
index 000000000000..30fd3555cead
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2021_124m_emoji_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_2021_124m_emoji RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_2021_124m_emoji
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_2021_124m_emoji` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_emoji_en_5.2.0_3.0_1701422456895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_emoji_en_5.2.0_3.0_1701422456895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_2021_124m_emoji|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m-emoji
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2021_124m_topic_multi_en.md b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2021_124m_topic_multi_en.md
new file mode 100644
index 000000000000..12f239a40f3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2021_124m_topic_multi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_2021_124m_topic_multi RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_2021_124m_topic_multi
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_2021_124m_topic_multi` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_topic_multi_en_5.2.0_3.0_1701445568820.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_topic_multi_en_5.2.0_3.0_1701445568820.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_2021_124m_topic_multi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m-topic-multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2021_124m_topic_single_en.md b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2021_124m_topic_single_en.md
new file mode 100644
index 000000000000..bbc98fe2e2c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_2021_124m_topic_single_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_2021_124m_topic_single RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_2021_124m_topic_single
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_2021_124m_topic_single` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_topic_single_en_5.2.0_3.0_1701473117880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_topic_single_en_5.2.0_3.0_1701473117880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_2021_124m_topic_single|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m-topic-single
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_dec2021_hate_en.md b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_dec2021_hate_en.md
new file mode 100644
index 000000000000..3cd406888850
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_dec2021_hate_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_hate RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_hate
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2021_hate` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_hate_en_5.2.0_3.0_1701471152089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_hate_en_5.2.0_3.0_1701471152089.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2021_hate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021-hate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_dec2021_topic_multi_en.md b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_dec2021_topic_multi_en.md
new file mode 100644
index 000000000000..e413b78a32b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_dec2021_topic_multi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_topic_multi RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_topic_multi
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2021_topic_multi` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_topic_multi_en_5.2.0_3.0_1701417048726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_topic_multi_en_5.2.0_3.0_1701417048726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2021_topic_multi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021-topic-multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_dec2021_topic_single_en.md b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_dec2021_topic_single_en.md
new file mode 100644
index 000000000000..5acded977318
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_dec2021_topic_single_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_topic_single RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_topic_single
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2021_topic_single` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_topic_single_en_5.2.0_3.0_1701472340354.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_topic_single_en_5.2.0_3.0_1701472340354.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2021_topic_single|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021-topic-single
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_semeval18_emodetection_en.md b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_semeval18_emodetection_en.md
new file mode 100644
index 000000000000..6c94ce755dce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_semeval18_emodetection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_semeval18_emodetection RoBertaForSequenceClassification from maxpe
+author: John Snow Labs
+name: twitter_roberta_base_semeval18_emodetection
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_semeval18_emodetection` is a English model originally trained by maxpe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_semeval18_emodetection_en_5.2.0_3.0_1701421257700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_semeval18_emodetection_en_5.2.0_3.0_1701421257700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_semeval18_emodetection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/maxpe/twitter-roberta-base_semeval18_emodetection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_53_11_en.md b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_53_11_en.md
new file mode 100644
index 000000000000..57fba3c6827c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_53_11_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_53_11 RoBertaForSequenceClassification from ali2066
+author: John Snow Labs
+name: twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_53_11
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_53_11` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_53_11_en_5.2.0_3.0_1701471726015.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_53_11_en_5.2.0_3.0_1701471726015.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_sentence_itr0_1e_05_all_01_03_2022_13_53_11|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/ali2066/twitter_RoBERTa_base_sentence_itr0_1e-05_all_01_03_2022-13_53_11
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_stance_feminist_en.md b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_stance_feminist_en.md
new file mode 100644
index 000000000000..cdd92a16d528
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-twitter_roberta_base_stance_feminist_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_stance_feminist RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_stance_feminist
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_stance_feminist` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_stance_feminist_en_5.2.0_3.0_1701398502280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_stance_feminist_en_5.2.0_3.0_1701398502280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_stance_feminist|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-stance-feminist
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-university_project_en.md b/docs/_posts/ahmedlone127/2023-12-01-university_project_en.md
new file mode 100644
index 000000000000..838a58e6cf81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-university_project_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English university_project RoBertaForSequenceClassification from AmiraliRezaie
+author: John Snow Labs
+name: university_project
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`university_project` is a English model originally trained by AmiraliRezaie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/university_project_en_5.2.0_3.0_1701425375618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/university_project_en_5.2.0_3.0_1701425375618.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|university_project|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/AmiraliRezaie/university_project
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-unixcoder_java_complexity_prediction_en.md b/docs/_posts/ahmedlone127/2023-12-01-unixcoder_java_complexity_prediction_en.md
new file mode 100644
index 000000000000..e8223339d473
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-unixcoder_java_complexity_prediction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English unixcoder_java_complexity_prediction RoBertaForSequenceClassification from codeparrot
+author: John Snow Labs
+name: unixcoder_java_complexity_prediction
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`unixcoder_java_complexity_prediction` is a English model originally trained by codeparrot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/unixcoder_java_complexity_prediction_en_5.2.0_3.0_1701418926033.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/unixcoder_java_complexity_prediction_en_5.2.0_3.0_1701418926033.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|urduintentclassification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|ur|
+|Size:|473.4 MB|
+
+## References
+
+https://huggingface.co/mwz/UrduIntentClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-01-urdusentimentclassification_en.md b/docs/_posts/ahmedlone127/2023-12-01-urdusentimentclassification_en.md
new file mode 100644
index 000000000000..71cc4aa32fb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-01-urdusentimentclassification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English urdusentimentclassification RoBertaForSequenceClassification from mwz
+author: John Snow Labs
+name: urdusentimentclassification
+date: 2023-12-01
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`urdusentimentclassification` is a English model originally trained by mwz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/urdusentimentclassification_en_5.2.0_3.0_1701415651590.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/urdusentimentclassification_en_5.2.0_3.0_1701415651590.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|urdusentimentclassification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|473.2 MB|
+
+## References
+
+https://huggingface.co/mwz/UrduSentimentClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-3rh_en.md b/docs/_posts/ahmedlone127/2023-12-02-3rh_en.md
new file mode 100644
index 000000000000..e5b289668d59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-3rh_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 3rh RoBertaForSequenceClassification from aloxatel
+author: John Snow Labs
+name: 3rh
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`3rh` is a English model originally trained by aloxatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/3rh_en_5.2.0_3.0_1701538107263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/3rh_en_5.2.0_3.0_1701538107263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|3rh|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/aloxatel/3RH
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-4_way_detection_prop_16_en.md b/docs/_posts/ahmedlone127/2023-12-02-4_way_detection_prop_16_en.md
new file mode 100644
index 000000000000..d98b27ef264b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-4_way_detection_prop_16_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English 4_way_detection_prop_16 RoBertaForSequenceClassification from ultra-coder54732
+author: John Snow Labs
+name: 4_way_detection_prop_16
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`4_way_detection_prop_16` is a English model originally trained by ultra-coder54732.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/4_way_detection_prop_16_en_5.2.0_3.0_1701498030547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/4_way_detection_prop_16_en_5.2.0_3.0_1701498030547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|4_way_detection_prop_16|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.7 MB|
+
+## References
+
+https://huggingface.co/ultra-coder54732/4-way-detection-prop-16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-a2_en.md b/docs/_posts/ahmedlone127/2023-12-02-a2_en.md
new file mode 100644
index 000000000000..b5e31ebec81d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-a2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English a2 RoBertaForSequenceClassification from ethanrom
+author: John Snow Labs
+name: a2
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`a2` is a English model originally trained by ethanrom.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/a2_en_5.2.0_3.0_1701481751360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/a2_en_5.2.0_3.0_1701481751360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|a2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ethanrom/a2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-adequacymodel_en.md b/docs/_posts/ahmedlone127/2023-12-02-adequacymodel_en.md
new file mode 100644
index 000000000000..d49ee25af1ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-adequacymodel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English adequacymodel RoBertaForSequenceClassification from ashwinpokee
+author: John Snow Labs
+name: adequacymodel
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adequacymodel` is a English model originally trained by ashwinpokee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adequacymodel_en_5.2.0_3.0_1701517975373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adequacymodel_en_5.2.0_3.0_1701517975373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adequacymodel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ashwinpokee/adequacymodel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_banking_2_16_5_en.md b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_banking_2_16_5_en.md
new file mode 100644
index 000000000000..9ac4cc4f6940
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_banking_2_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_banking_2_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_banking_2_16_5
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_banking_2_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_banking_2_16_5_en_5.2.0_3.0_1701512590514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_banking_2_16_5_en_5.2.0_3.0_1701512590514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_banking_2_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-banking-2-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_banking_7_16_5_en.md b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_banking_7_16_5_en.md
new file mode 100644
index 000000000000..45444e889424
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_banking_7_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_banking_7_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_banking_7_16_5
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_banking_7_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_banking_7_16_5_en_5.2.0_3.0_1701524580211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_banking_7_16_5_en_5.2.0_3.0_1701524580211.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_banking_7_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-banking-7-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_credit_cards_1000_16_5_oos_en.md b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_credit_cards_1000_16_5_oos_en.md
new file mode 100644
index 000000000000..f57136788440
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_credit_cards_1000_16_5_oos_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_credit_cards_1000_16_5_oos RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_credit_cards_1000_16_5_oos
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_credit_cards_1000_16_5_oos` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_credit_cards_1000_16_5_oos_en_5.2.0_3.0_1701534826697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_credit_cards_1000_16_5_oos_en_5.2.0_3.0_1701534826697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_credit_cards_1000_16_5_oos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-credit_cards-1000-16-5-oos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_home_2_16_5_oos_en.md b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_home_2_16_5_oos_en.md
new file mode 100644
index 000000000000..6ab7fe2a9dfb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_home_2_16_5_oos_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_home_2_16_5_oos RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_home_2_16_5_oos
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_home_2_16_5_oos` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_2_16_5_oos_en_5.2.0_3.0_1701542287112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_2_16_5_oos_en_5.2.0_3.0_1701542287112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_home_2_16_5_oos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-home-2-16-5-oos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_home_7_16_5_en.md b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_home_7_16_5_en.md
new file mode 100644
index 000000000000..e8672e3fcd25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_home_7_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_home_7_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_home_7_16_5
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_home_7_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_7_16_5_en_5.2.0_3.0_1701509825003.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_7_16_5_en_5.2.0_3.0_1701509825003.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_home_7_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-home-7-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_kitchen_and_dining_9_16_5_en.md b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_kitchen_and_dining_9_16_5_en.md
new file mode 100644
index 000000000000..eca65c9c17f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_kitchen_and_dining_9_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_kitchen_and_dining_9_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_kitchen_and_dining_9_16_5
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_kitchen_and_dining_9_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_kitchen_and_dining_9_16_5_en_5.2.0_3.0_1701502036032.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_kitchen_and_dining_9_16_5_en_5.2.0_3.0_1701502036032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_kitchen_and_dining_9_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-kitchen_and_dining-9-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_meta_3_16_5_en.md b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_meta_3_16_5_en.md
new file mode 100644
index 000000000000..057c180ba082
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_meta_3_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_meta_3_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_meta_3_16_5
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_meta_3_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_meta_3_16_5_en_5.2.0_3.0_1701506633246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_meta_3_16_5_en_5.2.0_3.0_1701506633246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_meta_3_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-meta-3-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_small_talk_3_16_5_en.md b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_small_talk_3_16_5_en.md
new file mode 100644
index 000000000000..53f6474ea0a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_small_talk_3_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_small_talk_3_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_small_talk_3_16_5
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_small_talk_3_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_small_talk_3_16_5_en_5.2.0_3.0_1701526846882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_small_talk_3_16_5_en_5.2.0_3.0_1701526846882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_small_talk_3_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-small_talk-3-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_travel_2_16_5_en.md b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_travel_2_16_5_en.md
new file mode 100644
index 000000000000..5df1eab47813
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_travel_2_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_travel_2_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_travel_2_16_5
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_travel_2_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_travel_2_16_5_en_5.2.0_3.0_1701532328286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_travel_2_16_5_en_5.2.0_3.0_1701532328286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_travel_2_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-travel-2-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_work_2_16_5_oos_en.md b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_work_2_16_5_oos_en.md
new file mode 100644
index 000000000000..06ce25ef4480
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_work_2_16_5_oos_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_work_2_16_5_oos RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_work_2_16_5_oos
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_work_2_16_5_oos` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_2_16_5_oos_en_5.2.0_3.0_1701538299626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_2_16_5_oos_en_5.2.0_3.0_1701538299626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_work_2_16_5_oos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-work-2-16-5-oos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_work_6_16_5_en.md b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_work_6_16_5_en.md
new file mode 100644
index 000000000000..2fdfb0b7014c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-all_roberta_large_v1_work_6_16_5_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English all_roberta_large_v1_work_6_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_work_6_16_5
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_work_6_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_6_16_5_en_5.2.0_3.0_1701537195156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_6_16_5_en_5.2.0_3.0_1701537195156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_work_6_16_5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-work-6-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-amazon_cross_encoder_en.md b/docs/_posts/ahmedlone127/2023-12-02-amazon_cross_encoder_en.md
new file mode 100644
index 000000000000..4504eb9de1bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-amazon_cross_encoder_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English amazon_cross_encoder RoBertaForSequenceClassification from LiYuan
+author: John Snow Labs
+name: amazon_cross_encoder
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_cross_encoder` is a English model originally trained by LiYuan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_cross_encoder_en_5.2.0_3.0_1701496228755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_cross_encoder_en_5.2.0_3.0_1701496228755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_cross_encoder|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/LiYuan/amazon-cross-encoder
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-arif_fake_news_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-02-arif_fake_news_classifier_en.md
new file mode 100644
index 000000000000..33e367fc8a7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-arif_fake_news_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English arif_fake_news_classifier RoBertaForSequenceClassification from Marif
+author: John Snow Labs
+name: arif_fake_news_classifier
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arif_fake_news_classifier` is a English model originally trained by Marif.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arif_fake_news_classifier_en_5.2.0_3.0_1701478194959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arif_fake_news_classifier_en_5.2.0_3.0_1701478194959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arif_fake_news_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|457.5 MB|
+
+## References
+
+https://huggingface.co/Marif/Arif_fake_news_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-autonlp_txc_17923124_en.md b/docs/_posts/ahmedlone127/2023-12-02-autonlp_txc_17923124_en.md
new file mode 100644
index 000000000000..0a0f8ad30a0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-autonlp_txc_17923124_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English autonlp_txc_17923124 RoBertaForSequenceClassification from emekaboris
+author: John Snow Labs
+name: autonlp_txc_17923124
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autonlp_txc_17923124` is a English model originally trained by emekaboris.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_txc_17923124_en_5.2.0_3.0_1701495211922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_txc_17923124_en_5.2.0_3.0_1701495211922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autonlp_txc_17923124|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|426.5 MB|
+
+## References
+
+https://huggingface.co/emekaboris/autonlp-txc-17923124
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-avg_en.md b/docs/_posts/ahmedlone127/2023-12-02-avg_en.md
new file mode 100644
index 000000000000..253be5601757
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-avg_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English avg RoBertaForSequenceClassification from aloxatel
+author: John Snow Labs
+name: avg
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`avg` is a English model originally trained by aloxatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/avg_en_5.2.0_3.0_1701506020493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/avg_en_5.2.0_3.0_1701506020493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|avg|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/aloxatel/AVG
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-bertovosentneg0_en.md b/docs/_posts/ahmedlone127/2023-12-02-bertovosentneg0_en.md
new file mode 100644
index 000000000000..2aa41aafc808
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-bertovosentneg0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bertovosentneg0 RoBertaForSequenceClassification from Tanor
+author: John Snow Labs
+name: bertovosentneg0
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertovosentneg0` is a English model originally trained by Tanor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertovosentneg0_en_5.2.0_3.0_1701535282535.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertovosentneg0_en_5.2.0_3.0_1701535282535.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertovosentneg0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|533.0 MB|
+
+## References
+
+https://huggingface.co/Tanor/BERTovoSENTNEG0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-bitcoin_sentiment_train_en.md b/docs/_posts/ahmedlone127/2023-12-02-bitcoin_sentiment_train_en.md
new file mode 100644
index 000000000000..a4336bdf883f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-bitcoin_sentiment_train_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bitcoin_sentiment_train RoBertaForSequenceClassification from ma2sevich
+author: John Snow Labs
+name: bitcoin_sentiment_train
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bitcoin_sentiment_train` is a English model originally trained by ma2sevich.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bitcoin_sentiment_train_en_5.2.0_3.0_1701477234024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bitcoin_sentiment_train_en_5.2.0_3.0_1701477234024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bitcoin_sentiment_train|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/ma2sevich/bitcoin_sentiment_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-bmw_en.md b/docs/_posts/ahmedlone127/2023-12-02-bmw_en.md
new file mode 100644
index 000000000000..1aa052922c9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-bmw_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English bmw RoBertaForSequenceClassification from UT
+author: John Snow Labs
+name: bmw
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bmw` is a English model originally trained by UT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bmw_en_5.2.0_3.0_1701500596815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bmw_en_5.2.0_3.0_1701500596815.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bmw|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|770.4 MB|
+
+## References
+
+https://huggingface.co/UT/BMW
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-brainbert_base_korean_kornli_en.md b/docs/_posts/ahmedlone127/2023-12-02-brainbert_base_korean_kornli_en.md
new file mode 100644
index 000000000000..bcd1384f6b99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-brainbert_base_korean_kornli_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English brainbert_base_korean_kornli RoBertaForSequenceClassification from hyunwoongko
+author: John Snow Labs
+name: brainbert_base_korean_kornli
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brainbert_base_korean_kornli` is a English model originally trained by hyunwoongko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brainbert_base_korean_kornli_en_5.2.0_3.0_1701485818533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brainbert_base_korean_kornli_en_5.2.0_3.0_1701485818533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brainbert_base_korean_kornli|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|265.5 MB|
+
+## References
+
+https://huggingface.co/hyunwoongko/brainbert-base-ko-kornli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-burmese_awesome_model_classification_en.md b/docs/_posts/ahmedlone127/2023-12-02-burmese_awesome_model_classification_en.md
new file mode 100644
index 000000000000..dd226cbc91f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-burmese_awesome_model_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English burmese_awesome_model_classification RoBertaForSequenceClassification from ketong3906
+author: John Snow Labs
+name: burmese_awesome_model_classification
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_classification` is a English model originally trained by ketong3906.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_classification_en_5.2.0_3.0_1701521628172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_classification_en_5.2.0_3.0_1701521628172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|435.1 MB|
+
+## References
+
+https://huggingface.co/ketong3906/my_awesome_model_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-carer_5way_en.md b/docs/_posts/ahmedlone127/2023-12-02-carer_5way_en.md
new file mode 100644
index 000000000000..dafefba41d44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-carer_5way_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English carer_5way RoBertaForSequenceClassification from crcb
+author: John Snow Labs
+name: carer_5way
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`carer_5way` is a English model originally trained by crcb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/carer_5way_en_5.2.0_3.0_1701541804505.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/carer_5way_en_5.2.0_3.0_1701541804505.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|carer_5way|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.9 MB|
+
+## References
+
+https://huggingface.co/crcb/carer_5way
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cares_roberta_bne_en.md b/docs/_posts/ahmedlone127/2023-12-02-cares_roberta_bne_en.md
new file mode 100644
index 000000000000..47bc922cf543
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cares_roberta_bne_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cares_roberta_bne RoBertaForSequenceClassification from chizhikchi
+author: John Snow Labs
+name: cares_roberta_bne
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cares_roberta_bne` is a English model originally trained by chizhikchi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cares_roberta_bne_en_5.2.0_3.0_1701493017509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cares_roberta_bne_en_5.2.0_3.0_1701493017509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cares_roberta_bne|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.5 MB|
+
+## References
+
+https://huggingface.co/chizhikchi/cares-roberta-bne
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cares_roberta_clinical_en.md b/docs/_posts/ahmedlone127/2023-12-02-cares_roberta_clinical_en.md
new file mode 100644
index 000000000000..f6e2998f48c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cares_roberta_clinical_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cares_roberta_clinical RoBertaForSequenceClassification from chizhikchi
+author: John Snow Labs
+name: cares_roberta_clinical
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cares_roberta_clinical` is a English model originally trained by chizhikchi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cares_roberta_clinical_en_5.2.0_3.0_1701512723851.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cares_roberta_clinical_en_5.2.0_3.0_1701512723851.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cares_roberta_clinical|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|445.1 MB|
+
+## References
+
+https://huggingface.co/chizhikchi/cares-roberta-clinical
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-categorizacion_comercios_v_0_0_3_en.md b/docs/_posts/ahmedlone127/2023-12-02-categorizacion_comercios_v_0_0_3_en.md
new file mode 100644
index 000000000000..1d83e9f98711
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-categorizacion_comercios_v_0_0_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English categorizacion_comercios_v_0_0_3 RoBertaForSequenceClassification from salascorp
+author: John Snow Labs
+name: categorizacion_comercios_v_0_0_3
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`categorizacion_comercios_v_0_0_3` is a English model originally trained by salascorp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/categorizacion_comercios_v_0_0_3_en_5.2.0_3.0_1701514168732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/categorizacion_comercios_v_0_0_3_en_5.2.0_3.0_1701514168732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|categorizacion_comercios_v_0_0_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/salascorp/categorizacion_comercios_v_0.0.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-categorizacion_comercios_v_0_0_4_en.md b/docs/_posts/ahmedlone127/2023-12-02-categorizacion_comercios_v_0_0_4_en.md
new file mode 100644
index 000000000000..f77d4ecbb46c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-categorizacion_comercios_v_0_0_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English categorizacion_comercios_v_0_0_4 RoBertaForSequenceClassification from salascorp
+author: John Snow Labs
+name: categorizacion_comercios_v_0_0_4
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`categorizacion_comercios_v_0_0_4` is a English model originally trained by salascorp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/categorizacion_comercios_v_0_0_4_en_5.2.0_3.0_1701536069581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/categorizacion_comercios_v_0_0_4_en_5.2.0_3.0_1701536069581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|categorizacion_comercios_v_0_0_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/salascorp/categorizacion_comercios_v_0.0.4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-catexp2_en.md b/docs/_posts/ahmedlone127/2023-12-02-catexp2_en.md
new file mode 100644
index 000000000000..a98da6b90ed0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-catexp2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English catexp2 RoBertaForSequenceClassification from owen99630
+author: John Snow Labs
+name: catexp2
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`catexp2` is a English model originally trained by owen99630.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/catexp2_en_5.2.0_3.0_1701543628677.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/catexp2_en_5.2.0_3.0_1701543628677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|catexp2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|421.6 MB|
+
+## References
+
+https://huggingface.co/owen99630/catexp2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cbd_fulldata_en.md b/docs/_posts/ahmedlone127/2023-12-02-cbd_fulldata_en.md
new file mode 100644
index 000000000000..0a90ddd21541
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cbd_fulldata_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cbd_fulldata RoBertaForSequenceClassification from Kidsshield
+author: John Snow Labs
+name: cbd_fulldata
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cbd_fulldata` is a English model originally trained by Kidsshield.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cbd_fulldata_en_5.2.0_3.0_1701500833024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cbd_fulldata_en_5.2.0_3.0_1701500833024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cbd_fulldata|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/Kidsshield/CBD-FullData
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr15_seed1_en.md b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr15_seed1_en.md
new file mode 100644
index 000000000000..fa353c123bdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr15_seed1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_itr15_seed1 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr15_seed1
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr15_seed1` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr15_seed1_en_5.2.0_3.0_1701511183743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr15_seed1_en_5.2.0_3.0_1701511183743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr15_seed1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr15-seed1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr17_seed4_en.md b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr17_seed4_en.md
new file mode 100644
index 000000000000..b7e1cf060acf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr17_seed4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_itr17_seed4 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr17_seed4
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr17_seed4` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr17_seed4_en_5.2.0_3.0_1701537468895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr17_seed4_en_5.2.0_3.0_1701537468895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr17_seed4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr17-seed4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr19_seed2_en.md b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr19_seed2_en.md
new file mode 100644
index 000000000000..66a060935c5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr19_seed2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_itr19_seed2 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr19_seed2
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr19_seed2` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr19_seed2_en_5.2.0_3.0_1701532927767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr19_seed2_en_5.2.0_3.0_1701532927767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr19_seed2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr19-seed2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr1_seed3_en.md b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr1_seed3_en.md
new file mode 100644
index 000000000000..09a5bccae727
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr1_seed3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_itr1_seed3 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr1_seed3
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr1_seed3` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr1_seed3_en_5.2.0_3.0_1701531654362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr1_seed3_en_5.2.0_3.0_1701531654362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr1_seed3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.7 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr1-seed3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr20_seed3_en.md b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr20_seed3_en.md
new file mode 100644
index 000000000000..1abc9748f6c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr20_seed3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_itr20_seed3 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr20_seed3
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr20_seed3` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr20_seed3_en_5.2.0_3.0_1701530988808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr20_seed3_en_5.2.0_3.0_1701530988808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr20_seed3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr20-seed3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr24_seed2_en.md b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr24_seed2_en.md
new file mode 100644
index 000000000000..8ac6e14b4332
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr24_seed2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_itr24_seed2 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr24_seed2
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr24_seed2` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr24_seed2_en_5.2.0_3.0_1701508075985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr24_seed2_en_5.2.0_3.0_1701508075985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr24_seed2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr24-seed2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr27_seed0_en.md b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr27_seed0_en.md
new file mode 100644
index 000000000000..ec1d2c963384
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr27_seed0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_itr27_seed0 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr27_seed0
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr27_seed0` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr27_seed0_en_5.2.0_3.0_1701523004608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr27_seed0_en_5.2.0_3.0_1701523004608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr27_seed0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr27-seed0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr4_seed0_en.md b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr4_seed0_en.md
new file mode 100644
index 000000000000..b4dbb7476803
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr4_seed0_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_itr4_seed0 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr4_seed0
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr4_seed0` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr4_seed0_en_5.2.0_3.0_1701532309329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr4_seed0_en_5.2.0_3.0_1701532309329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr4_seed0|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.8 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr4-seed0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr6_seed2_en.md b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr6_seed2_en.md
new file mode 100644
index 000000000000..857aee82e272
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr6_seed2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_itr6_seed2 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr6_seed2
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr6_seed2` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr6_seed2_en_5.2.0_3.0_1701518981610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr6_seed2_en_5.2.0_3.0_1701518981610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr6_seed2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.8 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr6-seed2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr6_seed3_en.md b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr6_seed3_en.md
new file mode 100644
index 000000000000..201d6aa87e87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cold_fusion_itr6_seed3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cold_fusion_itr6_seed3 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr6_seed3
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_itr6_seed3` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr6_seed3_en_5.2.0_3.0_1701512590455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr6_seed3_en_5.2.0_3.0_1701512590455.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr6_seed3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.8 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr6-seed3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-comparador_german_textos_en.md b/docs/_posts/ahmedlone127/2023-12-02-comparador_german_textos_en.md
new file mode 100644
index 000000000000..47106988bebe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-comparador_german_textos_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English comparador_german_textos RoBertaForSequenceClassification from ellucas
+author: John Snow Labs
+name: comparador_german_textos
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`comparador_german_textos` is a English model originally trained by ellucas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/comparador_german_textos_en_5.2.0_3.0_1701486573309.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/comparador_german_textos_en_5.2.0_3.0_1701486573309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|comparador_german_textos|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/ellucas/Comparador-de-textos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-cse244b_hw2_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-02-cse244b_hw2_roberta_en.md
new file mode 100644
index 000000000000..5157b2b88edf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-cse244b_hw2_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English cse244b_hw2_roberta RoBertaForSequenceClassification from Brendan
+author: John Snow Labs
+name: cse244b_hw2_roberta
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cse244b_hw2_roberta` is a English model originally trained by Brendan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cse244b_hw2_roberta_en_5.2.0_3.0_1701493802545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cse244b_hw2_roberta_en_5.2.0_3.0_1701493802545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cse244b_hw2_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.3 MB|
+
+## References
+
+https://huggingface.co/Brendan/cse244b-hw2-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-depression_reddit_distilroberta_base_en.md b/docs/_posts/ahmedlone127/2023-12-02-depression_reddit_distilroberta_base_en.md
new file mode 100644
index 000000000000..9e632c34257b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-depression_reddit_distilroberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English depression_reddit_distilroberta_base RoBertaForSequenceClassification from mrjunos
+author: John Snow Labs
+name: depression_reddit_distilroberta_base
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`depression_reddit_distilroberta_base` is a English model originally trained by mrjunos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/depression_reddit_distilroberta_base_en_5.2.0_3.0_1701540586236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/depression_reddit_distilroberta_base_en_5.2.0_3.0_1701540586236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|depression_reddit_distilroberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/mrjunos/depression-reddit-distilroberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-distilbertfinal_ctxsentence_train_essays_test_null_second_train_set_null_false_en.md b/docs/_posts/ahmedlone127/2023-12-02-distilbertfinal_ctxsentence_train_essays_test_null_second_train_set_null_false_en.md
new file mode 100644
index 000000000000..f08c5b8f2c7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-distilbertfinal_ctxsentence_train_essays_test_null_second_train_set_null_false_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilbertfinal_ctxsentence_train_essays_test_null_second_train_set_null_false RoBertaForSequenceClassification from ali2066
+author: John Snow Labs
+name: distilbertfinal_ctxsentence_train_essays_test_null_second_train_set_null_false
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbertfinal_ctxsentence_train_essays_test_null_second_train_set_null_false` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbertfinal_ctxsentence_train_essays_test_null_second_train_set_null_false_en_5.2.0_3.0_1701487708481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbertfinal_ctxsentence_train_essays_test_null_second_train_set_null_false_en_5.2.0_3.0_1701487708481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbertfinal_ctxsentence_train_essays_test_null_second_train_set_null_false|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/ali2066/DistilBERTFINAL_ctxSentence_TRAIN_essays_TEST_NULL_second_train_set_null_False
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-distilroberta_base_mic_sym_en.md b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_base_mic_sym_en.md
new file mode 100644
index 000000000000..fddbab0aaeaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_base_mic_sym_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_mic_sym RoBertaForSequenceClassification from agi-css
+author: John Snow Labs
+name: distilroberta_base_mic_sym
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mic_sym` is a English model originally trained by agi-css.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mic_sym_en_5.2.0_3.0_1701525955961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mic_sym_en_5.2.0_3.0_1701525955961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_mic_sym|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/agi-css/distilroberta-base-mic-sym
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-distilroberta_base_mrpc_glue_jovanlopez32_en.md b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_base_mrpc_glue_jovanlopez32_en.md
new file mode 100644
index 000000000000..cd9a0ff27313
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_base_mrpc_glue_jovanlopez32_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_base_mrpc_glue_jovanlopez32 RoBertaForSequenceClassification from jovanlopez32
+author: John Snow Labs
+name: distilroberta_base_mrpc_glue_jovanlopez32
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mrpc_glue_jovanlopez32` is a English model originally trained by jovanlopez32.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_jovanlopez32_en_5.2.0_3.0_1701517262786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_jovanlopez32_en_5.2.0_3.0_1701517262786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_mrpc_glue_jovanlopez32|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/jovanlopez32/distilroberta-base-mrpc-glue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-distilroberta_bbc_news_en.md b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_bbc_news_en.md
new file mode 100644
index 000000000000..8636984d7809
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_bbc_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_bbc_news RoBertaForSequenceClassification from AyoubChLin
+author: John Snow Labs
+name: distilroberta_bbc_news
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_bbc_news` is a English model originally trained by AyoubChLin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_bbc_news_en_5.2.0_3.0_1701515710768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_bbc_news_en_5.2.0_3.0_1701515710768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_bbc_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/AyoubChLin/DistilRoberta-bbc_news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-distilroberta_pkdd_anomaly_baseline_en.md b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_pkdd_anomaly_baseline_en.md
new file mode 100644
index 000000000000..9546909dadef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_pkdd_anomaly_baseline_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_pkdd_anomaly_baseline RoBertaForSequenceClassification from EgilKarlsen
+author: John Snow Labs
+name: distilroberta_pkdd_anomaly_baseline
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_pkdd_anomaly_baseline` is a English model originally trained by EgilKarlsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_pkdd_anomaly_baseline_en_5.2.0_3.0_1701489775240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_pkdd_anomaly_baseline_en_5.2.0_3.0_1701489775240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_pkdd_anomaly_baseline|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.5 MB|
+
+## References
+
+https://huggingface.co/EgilKarlsen/DistilRoBERTa_PKDD-Anomaly_Baseline
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-distilroberta_pkdd_anomaly_en.md b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_pkdd_anomaly_en.md
new file mode 100644
index 000000000000..7374a4397317
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_pkdd_anomaly_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_pkdd_anomaly RoBertaForSequenceClassification from EgilKarlsen
+author: John Snow Labs
+name: distilroberta_pkdd_anomaly
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_pkdd_anomaly` is a English model originally trained by EgilKarlsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_pkdd_anomaly_en_5.2.0_3.0_1701501895657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_pkdd_anomaly_en_5.2.0_3.0_1701501895657.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_pkdd_anomaly|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/EgilKarlsen/DistilRoBERTa_PKDD-Anomaly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-distilroberta_rb156k_opt15_ep40_phrase5k_en.md b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_rb156k_opt15_ep40_phrase5k_en.md
new file mode 100644
index 000000000000..2e6cbae837c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-distilroberta_rb156k_opt15_ep40_phrase5k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English distilroberta_rb156k_opt15_ep40_phrase5k RoBertaForSequenceClassification from judy93536
+author: John Snow Labs
+name: distilroberta_rb156k_opt15_ep40_phrase5k
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_rb156k_opt15_ep40_phrase5k` is a English model originally trained by judy93536.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_rb156k_opt15_ep40_phrase5k_en_5.2.0_3.0_1701479466685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_rb156k_opt15_ep40_phrase5k_en_5.2.0_3.0_1701479466685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_rb156k_opt15_ep40_phrase5k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.1 MB|
+
+## References
+
+https://huggingface.co/judy93536/distilroberta-rb156k-opt15-ep40-phrase5k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-dominance_english_distilroberta_base_en.md b/docs/_posts/ahmedlone127/2023-12-02-dominance_english_distilroberta_base_en.md
new file mode 100644
index 000000000000..2f996009c593
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-dominance_english_distilroberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English dominance_english_distilroberta_base RoBertaForSequenceClassification from samueldomdey
+author: John Snow Labs
+name: dominance_english_distilroberta_base
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dominance_english_distilroberta_base` is a English model originally trained by samueldomdey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dominance_english_distilroberta_base_en_5.2.0_3.0_1701494995049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dominance_english_distilroberta_base_en_5.2.0_3.0_1701494995049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dominance_english_distilroberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/samueldomdey/dominance-english-distilroberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-emergency_text_classfication2_en.md b/docs/_posts/ahmedlone127/2023-12-02-emergency_text_classfication2_en.md
new file mode 100644
index 000000000000..931a57a92b71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-emergency_text_classfication2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English emergency_text_classfication2 RoBertaForSequenceClassification from Americo
+author: John Snow Labs
+name: emergency_text_classfication2
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emergency_text_classfication2` is a English model originally trained by Americo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emergency_text_classfication2_en_5.2.0_3.0_1701503098168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emergency_text_classfication2_en_5.2.0_3.0_1701503098168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emergency_text_classfication2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.5 MB|
+
+## References
+
+https://huggingface.co/Americo/emergency-text-classfication2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-financial_phrasebank_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-02-financial_phrasebank_roberta_en.md
new file mode 100644
index 000000000000..7301dd288661
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-financial_phrasebank_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English financial_phrasebank_roberta RoBertaForSequenceClassification from langecod
+author: John Snow Labs
+name: financial_phrasebank_roberta
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`financial_phrasebank_roberta` is a English model originally trained by langecod.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financial_phrasebank_roberta_en_5.2.0_3.0_1701489682454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financial_phrasebank_roberta_en_5.2.0_3.0_1701489682454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|financial_phrasebank_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/langecod/Financial_Phrasebank_RoBERTa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-fine_tunning_roberta_bne_hate_offensive_en.md b/docs/_posts/ahmedlone127/2023-12-02-fine_tunning_roberta_bne_hate_offensive_en.md
new file mode 100644
index 000000000000..241dd7504562
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-fine_tunning_roberta_bne_hate_offensive_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English fine_tunning_roberta_bne_hate_offensive RoBertaForSequenceClassification from esmarquez17
+author: John Snow Labs
+name: fine_tunning_roberta_bne_hate_offensive
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tunning_roberta_bne_hate_offensive` is a English model originally trained by esmarquez17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tunning_roberta_bne_hate_offensive_en_5.2.0_3.0_1701533732651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tunning_roberta_bne_hate_offensive_en_5.2.0_3.0_1701533732651.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tunning_roberta_bne_hate_offensive|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.3 MB|
+
+## References
+
+https://huggingface.co/esmarquez17/fine-tunning-roberta-bne-hate-offensive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-finetuned_adversarial_paraphrase_model_en.md b/docs/_posts/ahmedlone127/2023-12-02-finetuned_adversarial_paraphrase_model_en.md
new file mode 100644
index 000000000000..d42a7e2e77b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-finetuned_adversarial_paraphrase_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_adversarial_paraphrase_model RoBertaForSequenceClassification from chitra
+author: John Snow Labs
+name: finetuned_adversarial_paraphrase_model
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_adversarial_paraphrase_model` is a English model originally trained by chitra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_adversarial_paraphrase_model_en_5.2.0_3.0_1701477704954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_adversarial_paraphrase_model_en_5.2.0_3.0_1701477704954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_adversarial_paraphrase_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/chitra/finetuned-adversarial-paraphrase-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-finetuned_beliefs_sentiment_classifier_experiment1_en.md b/docs/_posts/ahmedlone127/2023-12-02-finetuned_beliefs_sentiment_classifier_experiment1_en.md
new file mode 100644
index 000000000000..7526df3c6180
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-finetuned_beliefs_sentiment_classifier_experiment1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_beliefs_sentiment_classifier_experiment1 RoBertaForSequenceClassification from hriaz
+author: John Snow Labs
+name: finetuned_beliefs_sentiment_classifier_experiment1
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_beliefs_sentiment_classifier_experiment1` is a English model originally trained by hriaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_beliefs_sentiment_classifier_experiment1_en_5.2.0_3.0_1701496132874.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_beliefs_sentiment_classifier_experiment1_en_5.2.0_3.0_1701496132874.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_beliefs_sentiment_classifier_experiment1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/hriaz/finetuned_beliefs_sentiment_classifier_experiment1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-finetuned_roberta_base_model_kwasiasomani_en.md b/docs/_posts/ahmedlone127/2023-12-02-finetuned_roberta_base_model_kwasiasomani_en.md
new file mode 100644
index 000000000000..fe28471063c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-finetuned_roberta_base_model_kwasiasomani_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_roberta_base_model_kwasiasomani RoBertaForSequenceClassification from Kwasiasomani
+author: John Snow Labs
+name: finetuned_roberta_base_model_kwasiasomani
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_roberta_base_model_kwasiasomani` is a English model originally trained by Kwasiasomani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_model_kwasiasomani_en_5.2.0_3.0_1701494007008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_model_kwasiasomani_en_5.2.0_3.0_1701494007008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_roberta_base_model_kwasiasomani|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.3 MB|
+
+## References
+
+https://huggingface.co/Kwasiasomani/Finetuned-Roberta-base-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-finetuned_roberta_base_on_iemocap_1_en.md b/docs/_posts/ahmedlone127/2023-12-02-finetuned_roberta_base_on_iemocap_1_en.md
new file mode 100644
index 000000000000..8f07a5656b76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-finetuned_roberta_base_on_iemocap_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_roberta_base_on_iemocap_1 RoBertaForSequenceClassification from minoosh
+author: John Snow Labs
+name: finetuned_roberta_base_on_iemocap_1
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_roberta_base_on_iemocap_1` is a English model originally trained by minoosh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_on_iemocap_1_en_5.2.0_3.0_1701494200318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_on_iemocap_1_en_5.2.0_3.0_1701494200318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_roberta_base_on_iemocap_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/minoosh/finetuned_roberta-base-on-IEMOCAP_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-finetuned_robertuito_base_cased_v_p_g_en.md b/docs/_posts/ahmedlone127/2023-12-02-finetuned_robertuito_base_cased_v_p_g_en.md
new file mode 100644
index 000000000000..392f0ff44a81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-finetuned_robertuito_base_cased_v_p_g_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuned_robertuito_base_cased_v_p_g RoBertaForSequenceClassification from JosePezantes
+author: John Snow Labs
+name: finetuned_robertuito_base_cased_v_p_g
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_robertuito_base_cased_v_p_g` is a English model originally trained by JosePezantes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_robertuito_base_cased_v_p_g_en_5.2.0_3.0_1701488206938.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_robertuito_base_cased_v_p_g_en_5.2.0_3.0_1701488206938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_robertuito_base_cased_v_p_g|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/JosePezantes/finetuned-robertuito-base-cased-V-P-G
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-finetuning_sentiment_model_1_en.md b/docs/_posts/ahmedlone127/2023-12-02-finetuning_sentiment_model_1_en.md
new file mode 100644
index 000000000000..85f799663127
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-finetuning_sentiment_model_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_1 RoBertaForSequenceClassification from pabagcha
+author: John Snow Labs
+name: finetuning_sentiment_model_1
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_1` is a English model originally trained by pabagcha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_1_en_5.2.0_3.0_1701539885912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_1_en_5.2.0_3.0_1701539885912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|429.6 MB|
+
+## References
+
+https://huggingface.co/pabagcha/finetuning-sentiment-model-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-finetuning_sentiment_model_roberta_base_25000_samples_en.md b/docs/_posts/ahmedlone127/2023-12-02-finetuning_sentiment_model_roberta_base_25000_samples_en.md
new file mode 100644
index 000000000000..0dc255299e86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-finetuning_sentiment_model_roberta_base_25000_samples_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English finetuning_sentiment_model_roberta_base_25000_samples RoBertaForSequenceClassification from choidf
+author: John Snow Labs
+name: finetuning_sentiment_model_roberta_base_25000_samples
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_roberta_base_25000_samples` is a English model originally trained by choidf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_roberta_base_25000_samples_en_5.2.0_3.0_1701487968858.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_roberta_base_25000_samples_en_5.2.0_3.0_1701487968858.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_roberta_base_25000_samples|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|462.8 MB|
+
+## References
+
+https://huggingface.co/choidf/finetuning-sentiment-model-roberta-base-25000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-gottbert_base_finetuned_fbi_german_de.md b/docs/_posts/ahmedlone127/2023-12-02-gottbert_base_finetuned_fbi_german_de.md
new file mode 100644
index 000000000000..44509b12f554
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-gottbert_base_finetuned_fbi_german_de.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: German gottbert_base_finetuned_fbi_german RoBertaForSequenceClassification from julius-br
+author: John Snow Labs
+name: gottbert_base_finetuned_fbi_german
+date: 2023-12-02
+tags: [roberta, de, open_source, sequence_classification, onnx]
+task: Text Classification
+language: de
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gottbert_base_finetuned_fbi_german` is a German model originally trained by julius-br.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gottbert_base_finetuned_fbi_german_de_5.2.0_3.0_1701481864366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gottbert_base_finetuned_fbi_german_de_5.2.0_3.0_1701481864366.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gottbert_base_finetuned_fbi_german|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|de|
+|Size:|472.8 MB|
+
+## References
+
+https://huggingface.co/julius-br/gottbert-base-finetuned-fbi-german
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-grammar_model_en.md b/docs/_posts/ahmedlone127/2023-12-02-grammar_model_en.md
new file mode 100644
index 000000000000..f6d4b4feab0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-grammar_model_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English grammar_model RoBertaForSequenceClassification from lightcarrieson
+author: John Snow Labs
+name: grammar_model
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`grammar_model` is a English model originally trained by lightcarrieson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/grammar_model_en_5.2.0_3.0_1701495130580.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/grammar_model_en_5.2.0_3.0_1701495130580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|grammar_model|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|424.9 MB|
+
+## References
+
+https://huggingface.co/lightcarrieson/grammar_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random0_seed0_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random0_seed0_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 000000000000..b58628a29f06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random0_seed0_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_hate_random0_seed0_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random0_seed0_twitter_roberta_large_2022_154m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random0_seed0_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed0_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701530374564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed0_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701530374564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random0_seed0_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random0_seed0-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random0_seed2_roberta_large_en.md b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random0_seed2_roberta_large_en.md
new file mode 100644
index 000000000000..cfd3372a83de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random0_seed2_roberta_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_hate_random0_seed2_roberta_large RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random0_seed2_roberta_large
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random0_seed2_roberta_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed2_roberta_large_en_5.2.0_3.0_1701517262735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random0_seed2_roberta_large_en_5.2.0_3.0_1701517262735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random0_seed2_roberta_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random0_seed2-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed0_roberta_base_en.md b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed0_roberta_base_en.md
new file mode 100644
index 000000000000..ab5e7f85ce02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed0_roberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_hate_random1_seed0_roberta_base RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random1_seed0_roberta_base
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random1_seed0_roberta_base` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed0_roberta_base_en_5.2.0_3.0_1701535031350.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed0_roberta_base_en_5.2.0_3.0_1701535031350.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random1_seed0_roberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.7 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random1_seed0-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed0_twitter_roberta_base_2019_90m_en.md b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed0_twitter_roberta_base_2019_90m_en.md
new file mode 100644
index 000000000000..cb334cd7d98c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed0_twitter_roberta_base_2019_90m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_hate_random1_seed0_twitter_roberta_base_2019_90m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random1_seed0_twitter_roberta_base_2019_90m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random1_seed0_twitter_roberta_base_2019_90m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed0_twitter_roberta_base_2019_90m_en_5.2.0_3.0_1701538524184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed0_twitter_roberta_base_2019_90m_en_5.2.0_3.0_1701538524184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random1_seed0_twitter_roberta_base_2019_90m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random1_seed0-twitter-roberta-base-2019-90m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed1_roberta_base_en.md b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed1_roberta_base_en.md
new file mode 100644
index 000000000000..fdf468df9650
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed1_roberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_hate_random1_seed1_roberta_base RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random1_seed1_roberta_base
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random1_seed1_roberta_base` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed1_roberta_base_en_5.2.0_3.0_1701536182817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed1_roberta_base_en_5.2.0_3.0_1701536182817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random1_seed1_roberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.7 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random1_seed1-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed2_bertweet_large_en.md b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed2_bertweet_large_en.md
new file mode 100644
index 000000000000..445d9f522c10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random1_seed2_bertweet_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_hate_random1_seed2_bertweet_large RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random1_seed2_bertweet_large
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random1_seed2_bertweet_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed2_bertweet_large_en_5.2.0_3.0_1701516256850.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random1_seed2_bertweet_large_en_5.2.0_3.0_1701516256850.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random1_seed2_bertweet_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random1_seed2-bertweet-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random2_seed1_twitter_roberta_base_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random2_seed1_twitter_roberta_base_2022_154m_en.md
new file mode 100644
index 000000000000..5c24e96b8690
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random2_seed1_twitter_roberta_base_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_hate_random2_seed1_twitter_roberta_base_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random2_seed1_twitter_roberta_base_2022_154m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random2_seed1_twitter_roberta_base_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed1_twitter_roberta_base_2022_154m_en_5.2.0_3.0_1701520147397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed1_twitter_roberta_base_2022_154m_en_5.2.0_3.0_1701520147397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random2_seed1_twitter_roberta_base_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random2_seed1-twitter-roberta-base-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random2_seed2_bertweet_large_en.md b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random2_seed2_bertweet_large_en.md
new file mode 100644
index 000000000000..c0dd470c7e11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random2_seed2_bertweet_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_hate_random2_seed2_bertweet_large RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random2_seed2_bertweet_large
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random2_seed2_bertweet_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed2_bertweet_large_en_5.2.0_3.0_1701524586406.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random2_seed2_bertweet_large_en_5.2.0_3.0_1701524586406.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random2_seed2_bertweet_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random2_seed2-bertweet-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random3_seed0_twitter_roberta_base_2021_124m_en.md b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random3_seed0_twitter_roberta_base_2021_124m_en.md
new file mode 100644
index 000000000000..e9d756f6289e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-hate_hate_random3_seed0_twitter_roberta_base_2021_124m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English hate_hate_random3_seed0_twitter_roberta_base_2021_124m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_random3_seed0_twitter_roberta_base_2021_124m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_random3_seed0_twitter_roberta_base_2021_124m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_random3_seed0_twitter_roberta_base_2021_124m_en_5.2.0_3.0_1701543250901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_random3_seed0_twitter_roberta_base_2021_124m_en_5.2.0_3.0_1701543250901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_random3_seed0_twitter_roberta_base_2021_124m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_random3_seed0-twitter-roberta-base-2021-124m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-horai_v2_47k_large_e1_lr_6_en.md b/docs/_posts/ahmedlone127/2023-12-02-horai_v2_47k_large_e1_lr_6_en.md
new file mode 100644
index 000000000000..1e5ce7738c61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-horai_v2_47k_large_e1_lr_6_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English horai_v2_47k_large_e1_lr_6 RoBertaForSequenceClassification from stealthwriter
+author: John Snow Labs
+name: horai_v2_47k_large_e1_lr_6
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`horai_v2_47k_large_e1_lr_6` is a English model originally trained by stealthwriter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/horai_v2_47k_large_e1_lr_6_en_5.2.0_3.0_1701504139300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/horai_v2_47k_large_e1_lr_6_en_5.2.0_3.0_1701504139300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|horai_v2_47k_large_e1_lr_6|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/stealthwriter/HorAI-V2-47k-large-e1-lr-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-idmgsp_roberta_train_gpt3_abstract_en.md b/docs/_posts/ahmedlone127/2023-12-02-idmgsp_roberta_train_gpt3_abstract_en.md
new file mode 100644
index 000000000000..f7660601c777
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-idmgsp_roberta_train_gpt3_abstract_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English idmgsp_roberta_train_gpt3_abstract RoBertaForSequenceClassification from tum-nlp
+author: John Snow Labs
+name: idmgsp_roberta_train_gpt3_abstract
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`idmgsp_roberta_train_gpt3_abstract` is a English model originally trained by tum-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/idmgsp_roberta_train_gpt3_abstract_en_5.2.0_3.0_1701475644251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/idmgsp_roberta_train_gpt3_abstract_en_5.2.0_3.0_1701475644251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|idmgsp_roberta_train_gpt3_abstract|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|449.3 MB|
+
+## References
+
+https://huggingface.co/tum-nlp/IDMGSP-RoBERTa-TRAIN_GPT3-ABSTRACT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-idmgsp_roberta_train_gpt3_conclusion_en.md b/docs/_posts/ahmedlone127/2023-12-02-idmgsp_roberta_train_gpt3_conclusion_en.md
new file mode 100644
index 000000000000..60781e1f3edf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-idmgsp_roberta_train_gpt3_conclusion_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English idmgsp_roberta_train_gpt3_conclusion RoBertaForSequenceClassification from tum-nlp
+author: John Snow Labs
+name: idmgsp_roberta_train_gpt3_conclusion
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`idmgsp_roberta_train_gpt3_conclusion` is a English model originally trained by tum-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/idmgsp_roberta_train_gpt3_conclusion_en_5.2.0_3.0_1701514080064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/idmgsp_roberta_train_gpt3_conclusion_en_5.2.0_3.0_1701514080064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|idmgsp_roberta_train_gpt3_conclusion|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|452.4 MB|
+
+## References
+
+https://huggingface.co/tum-nlp/IDMGSP-RoBERTa-TRAIN_GPT3-CONCLUSION
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-idmgsp_roberta_train_introduction_en.md b/docs/_posts/ahmedlone127/2023-12-02-idmgsp_roberta_train_introduction_en.md
new file mode 100644
index 000000000000..5a619d9cf02f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-idmgsp_roberta_train_introduction_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English idmgsp_roberta_train_introduction RoBertaForSequenceClassification from tum-nlp
+author: John Snow Labs
+name: idmgsp_roberta_train_introduction
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`idmgsp_roberta_train_introduction` is a English model originally trained by tum-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/idmgsp_roberta_train_introduction_en_5.2.0_3.0_1701510860914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/idmgsp_roberta_train_introduction_en_5.2.0_3.0_1701510860914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|idmgsp_roberta_train_introduction|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|455.3 MB|
+
+## References
+
+https://huggingface.co/tum-nlp/IDMGSP-RoBERTa-TRAIN-INTRODUCTION
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-imdbreviews_classification_roberta_v01_en.md b/docs/_posts/ahmedlone127/2023-12-02-imdbreviews_classification_roberta_v01_en.md
new file mode 100644
index 000000000000..fbe26c38ce84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-imdbreviews_classification_roberta_v01_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English imdbreviews_classification_roberta_v01 RoBertaForSequenceClassification from dfelorza
+author: John Snow Labs
+name: imdbreviews_classification_roberta_v01
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_roberta_v01` is a English model originally trained by dfelorza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_v01_en_5.2.0_3.0_1701484060951.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_v01_en_5.2.0_3.0_1701484060951.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdbreviews_classification_roberta_v01|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.4 MB|
+
+## References
+
+https://huggingface.co/dfelorza/imdbreviews_classification_roberta_v01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-incremental_semi_supervised_training_500k_equal_en.md b/docs/_posts/ahmedlone127/2023-12-02-incremental_semi_supervised_training_500k_equal_en.md
new file mode 100644
index 000000000000..fa7130f47e9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-incremental_semi_supervised_training_500k_equal_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English incremental_semi_supervised_training_500k_equal RoBertaForSequenceClassification from bitsanlp
+author: John Snow Labs
+name: incremental_semi_supervised_training_500k_equal
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`incremental_semi_supervised_training_500k_equal` is a English model originally trained by bitsanlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/incremental_semi_supervised_training_500k_equal_en_5.2.0_3.0_1701497783145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/incremental_semi_supervised_training_500k_equal_en_5.2.0_3.0_1701497783145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|incremental_semi_supervised_training_500k_equal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/bitsanlp/incremental-semi-supervised-training-500k-equal
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-indonesian_roberta_base_prdect_indonesian_id.md b/docs/_posts/ahmedlone127/2023-12-02-indonesian_roberta_base_prdect_indonesian_id.md
new file mode 100644
index 000000000000..9b622142ed59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-indonesian_roberta_base_prdect_indonesian_id.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: Indonesian indonesian_roberta_base_prdect_indonesian RoBertaForSequenceClassification from w11wo
+author: John Snow Labs
+name: indonesian_roberta_base_prdect_indonesian
+date: 2023-12-02
+tags: [roberta, id, open_source, sequence_classification, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indonesian_roberta_base_prdect_indonesian` is a Indonesian model originally trained by w11wo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indonesian_roberta_base_prdect_indonesian_id_5.2.0_3.0_1701503098356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indonesian_roberta_base_prdect_indonesian_id_5.2.0_3.0_1701503098356.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indonesian_roberta_base_prdect_indonesian|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|467.6 MB|
+
+## References
+
+https://huggingface.co/w11wo/indonesian-roberta-base-prdect-id
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-ipc_level1_g_en.md b/docs/_posts/ahmedlone127/2023-12-02-ipc_level1_g_en.md
new file mode 100644
index 000000000000..0b7cdd30e1f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-ipc_level1_g_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English ipc_level1_g RoBertaForSequenceClassification from intelcomp
+author: John Snow Labs
+name: ipc_level1_g
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ipc_level1_g` is a English model originally trained by intelcomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ipc_level1_g_en_5.2.0_3.0_1701485535892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ipc_level1_g_en_5.2.0_3.0_1701485535892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ipc_level1_g|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/intelcomp/ipc_level1_G
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-jrtec_distilroberta_base_mrpc_glue_omar_espejel_en.md b/docs/_posts/ahmedlone127/2023-12-02-jrtec_distilroberta_base_mrpc_glue_omar_espejel_en.md
new file mode 100644
index 000000000000..fb597a854da3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-jrtec_distilroberta_base_mrpc_glue_omar_espejel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English jrtec_distilroberta_base_mrpc_glue_omar_espejel RoBertaForSequenceClassification from jrtec
+author: John Snow Labs
+name: jrtec_distilroberta_base_mrpc_glue_omar_espejel
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jrtec_distilroberta_base_mrpc_glue_omar_espejel` is a English model originally trained by jrtec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jrtec_distilroberta_base_mrpc_glue_omar_espejel_en_5.2.0_3.0_1701522616349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jrtec_distilroberta_base_mrpc_glue_omar_espejel_en_5.2.0_3.0_1701522616349.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jrtec_distilroberta_base_mrpc_glue_omar_espejel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/jrtec/jrtec-distilroberta-base-mrpc-glue-omar-espejel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-khipu_finetuned_amazon_reviews_multi_javiteri95_en.md b/docs/_posts/ahmedlone127/2023-12-02-khipu_finetuned_amazon_reviews_multi_javiteri95_en.md
new file mode 100644
index 000000000000..d2531deb44aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-khipu_finetuned_amazon_reviews_multi_javiteri95_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English khipu_finetuned_amazon_reviews_multi_javiteri95 RoBertaForSequenceClassification from javiteri95
+author: John Snow Labs
+name: khipu_finetuned_amazon_reviews_multi_javiteri95
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`khipu_finetuned_amazon_reviews_multi_javiteri95` is a English model originally trained by javiteri95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_javiteri95_en_5.2.0_3.0_1701500547660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_javiteri95_en_5.2.0_3.0_1701500547660.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|khipu_finetuned_amazon_reviews_multi_javiteri95|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.7 MB|
+
+## References
+
+https://huggingface.co/javiteri95/khipu-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-khipu_finetuned_amazon_reviews_multi_sasha_en.md b/docs/_posts/ahmedlone127/2023-12-02-khipu_finetuned_amazon_reviews_multi_sasha_en.md
new file mode 100644
index 000000000000..1a76f3b7265c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-khipu_finetuned_amazon_reviews_multi_sasha_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English khipu_finetuned_amazon_reviews_multi_sasha RoBertaForSequenceClassification from sasha
+author: John Snow Labs
+name: khipu_finetuned_amazon_reviews_multi_sasha
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`khipu_finetuned_amazon_reviews_multi_sasha` is a English model originally trained by sasha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_sasha_en_5.2.0_3.0_1701497524112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_sasha_en_5.2.0_3.0_1701497524112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|khipu_finetuned_amazon_reviews_multi_sasha|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.7 MB|
+
+## References
+
+https://huggingface.co/sasha/khipu-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-language_detection_robert_base_en.md b/docs/_posts/ahmedlone127/2023-12-02-language_detection_robert_base_en.md
new file mode 100644
index 000000000000..3cee8fe9d500
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-language_detection_robert_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English language_detection_robert_base RoBertaForSequenceClassification from jkhan447
+author: John Snow Labs
+name: language_detection_robert_base
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`language_detection_robert_base` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/language_detection_robert_base_en_5.2.0_3.0_1701519691402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/language_detection_robert_base_en_5.2.0_3.0_1701519691402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|language_detection_robert_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.2 MB|
+
+## References
+
+https://huggingface.co/jkhan447/language-detection-RoBert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-legal_components_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-02-legal_components_roberta_en.md
new file mode 100644
index 000000000000..b13121dc1f05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-legal_components_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English legal_components_roberta RoBertaForSequenceClassification from nihiluis
+author: John Snow Labs
+name: legal_components_roberta
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_components_roberta` is a English model originally trained by nihiluis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_components_roberta_en_5.2.0_3.0_1701487273799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_components_roberta_en_5.2.0_3.0_1701487273799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_components_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/nihiluis/legal-components-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-me_sentiment_roberta_p1_en.md b/docs/_posts/ahmedlone127/2023-12-02-me_sentiment_roberta_p1_en.md
new file mode 100644
index 000000000000..5b321d0439aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-me_sentiment_roberta_p1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English me_sentiment_roberta_p1 RoBertaForSequenceClassification from afiqlol
+author: John Snow Labs
+name: me_sentiment_roberta_p1
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`me_sentiment_roberta_p1` is a English model originally trained by afiqlol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/me_sentiment_roberta_p1_en_5.2.0_3.0_1701512904143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/me_sentiment_roberta_p1_en_5.2.0_3.0_1701512904143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|me_sentiment_roberta_p1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/afiqlol/me-sentiment-roberta-p1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-mformer_authority_en.md b/docs/_posts/ahmedlone127/2023-12-02-mformer_authority_en.md
new file mode 100644
index 000000000000..3be7ca016f33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-mformer_authority_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mformer_authority RoBertaForSequenceClassification from joshnguyen
+author: John Snow Labs
+name: mformer_authority
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mformer_authority` is a English model originally trained by joshnguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mformer_authority_en_5.2.0_3.0_1701475210673.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mformer_authority_en_5.2.0_3.0_1701475210673.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mformer_authority|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.7 MB|
+
+## References
+
+https://huggingface.co/joshnguyen/mformer-authority
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-mymodel_classify_category_news_en.md b/docs/_posts/ahmedlone127/2023-12-02-mymodel_classify_category_news_en.md
new file mode 100644
index 000000000000..1d417ee6e3fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-mymodel_classify_category_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English mymodel_classify_category_news RoBertaForSequenceClassification from duwuonline
+author: John Snow Labs
+name: mymodel_classify_category_news
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mymodel_classify_category_news` is a English model originally trained by duwuonline.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mymodel_classify_category_news_en_5.2.0_3.0_1701524855992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mymodel_classify_category_news_en_5.2.0_3.0_1701524855992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mymodel_classify_category_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|845.9 MB|
+
+## References
+
+https://huggingface.co/duwuonline/mymodel-classify-category-news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random0_seed0_bertweet_large_en.md b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random0_seed0_bertweet_large_en.md
new file mode 100644
index 000000000000..4d7aacf05c35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random0_seed0_bertweet_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nerd_nerd_random0_seed0_bertweet_large RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random0_seed0_bertweet_large
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random0_seed0_bertweet_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random0_seed0_bertweet_large_en_5.2.0_3.0_1701540181095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random0_seed0_bertweet_large_en_5.2.0_3.0_1701540181095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random0_seed0_bertweet_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random0_seed0-bertweet-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random0_seed2_twitter_roberta_base_2019_90m_en.md b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random0_seed2_twitter_roberta_base_2019_90m_en.md
new file mode 100644
index 000000000000..17d283fa1825
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random0_seed2_twitter_roberta_base_2019_90m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nerd_nerd_random0_seed2_twitter_roberta_base_2019_90m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random0_seed2_twitter_roberta_base_2019_90m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random0_seed2_twitter_roberta_base_2019_90m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random0_seed2_twitter_roberta_base_2019_90m_en_5.2.0_3.0_1701518044354.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random0_seed2_twitter_roberta_base_2019_90m_en_5.2.0_3.0_1701518044354.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random0_seed2_twitter_roberta_base_2019_90m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random0_seed2-twitter-roberta-base-2019-90m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random1_seed1_twitter_roberta_base_dec2020_en.md b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random1_seed1_twitter_roberta_base_dec2020_en.md
new file mode 100644
index 000000000000..a20e1afef32c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random1_seed1_twitter_roberta_base_dec2020_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nerd_nerd_random1_seed1_twitter_roberta_base_dec2020 RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random1_seed1_twitter_roberta_base_dec2020
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random1_seed1_twitter_roberta_base_dec2020` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed1_twitter_roberta_base_dec2020_en_5.2.0_3.0_1701507087949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random1_seed1_twitter_roberta_base_dec2020_en_5.2.0_3.0_1701507087949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random1_seed1_twitter_roberta_base_dec2020|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random1_seed1-twitter-roberta-base-dec2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random3_seed0_bertweet_large_en.md b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random3_seed0_bertweet_large_en.md
new file mode 100644
index 000000000000..eb616e80a374
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random3_seed0_bertweet_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nerd_nerd_random3_seed0_bertweet_large RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random3_seed0_bertweet_large
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random3_seed0_bertweet_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed0_bertweet_large_en_5.2.0_3.0_1701532328282.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed0_bertweet_large_en_5.2.0_3.0_1701532328282.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random3_seed0_bertweet_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random3_seed0-bertweet-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random3_seed1_twitter_roberta_base_dec2020_en.md b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random3_seed1_twitter_roberta_base_dec2020_en.md
new file mode 100644
index 000000000000..5c432ceb69b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random3_seed1_twitter_roberta_base_dec2020_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nerd_nerd_random3_seed1_twitter_roberta_base_dec2020 RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random3_seed1_twitter_roberta_base_dec2020
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random3_seed1_twitter_roberta_base_dec2020` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed1_twitter_roberta_base_dec2020_en_5.2.0_3.0_1701546051658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed1_twitter_roberta_base_dec2020_en_5.2.0_3.0_1701546051658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random3_seed1_twitter_roberta_base_dec2020|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random3_seed1-twitter-roberta-base-dec2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random3_seed2_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random3_seed2_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 000000000000..e575d31c862d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_random3_seed2_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nerd_nerd_random3_seed2_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random3_seed2_twitter_roberta_large_2022_154m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random3_seed2_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed2_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701543333099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed2_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701543333099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random3_seed2_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random3_seed2-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_temporal_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_temporal_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 000000000000..7d55243a1c56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-nerd_nerd_temporal_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nerd_nerd_temporal_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_temporal_twitter_roberta_large_2022_154m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_temporal_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_temporal_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701545239451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_temporal_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701545239451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_temporal_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_temporal-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-nosql_identifier_roberta_base_en.md b/docs/_posts/ahmedlone127/2023-12-02-nosql_identifier_roberta_base_en.md
new file mode 100644
index 000000000000..c3e074ae7b9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-nosql_identifier_roberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English nosql_identifier_roberta_base RoBertaForSequenceClassification from ankush-003
+author: John Snow Labs
+name: nosql_identifier_roberta_base
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nosql_identifier_roberta_base` is a English model originally trained by ankush-003.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nosql_identifier_roberta_base_en_5.2.0_3.0_1701507967464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nosql_identifier_roberta_base_en_5.2.0_3.0_1701507967464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nosql_identifier_roberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/ankush-003/nosql-identifier-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-parts_matching_en.md b/docs/_posts/ahmedlone127/2023-12-02-parts_matching_en.md
new file mode 100644
index 000000000000..fc0681e33d27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-parts_matching_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English parts_matching RoBertaForSequenceClassification from sattensil
+author: John Snow Labs
+name: parts_matching
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`parts_matching` is a English model originally trained by sattensil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parts_matching_en_5.2.0_3.0_1701501090506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parts_matching_en_5.2.0_3.0_1701501090506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|parts_matching|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|440.0 MB|
+
+## References
+
+https://huggingface.co/sattensil/parts_matching
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_elyager_en.md b/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_elyager_en.md
new file mode 100644
index 000000000000..78e1662a4538
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_elyager_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_elyager RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_elyager
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_elyager` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_elyager_en_5.2.0_3.0_1701545873971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_elyager_en_5.2.0_3.0_1701545873971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+References
+
+https://huggingface.co/eormeno12/platzi-distilroberta-base-mrpc-glue
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_glue_luis_rogelio_reyes_en.md b/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_glue_luis_rogelio_reyes_en.md
new file mode 100644
index 000000000000..ec57e06a34fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_glue_luis_rogelio_reyes_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_luis_rogelio_reyes RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_luis_rogelio_reyes
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_luis_rogelio_reyes` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_luis_rogelio_reyes_en_5.2.0_3.0_1701481751383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_luis_rogelio_reyes_en_5.2.0_3.0_1701481751383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_luis_rogelio_reyes|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distilroberta-base-mrpc-glue-luis-rogelio-reyes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_glue_pablo_campino1_en.md b/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_glue_pablo_campino1_en.md
new file mode 100644
index 000000000000..b8a805fa6602
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_glue_pablo_campino1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_pablo_campino1 RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_pablo_campino1
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_pablo_campino1` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_pablo_campino1_en_5.2.0_3.0_1701546546633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_pablo_campino1_en_5.2.0_3.0_1701546546633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_pablo_campino1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distilroberta-base-mrpc-glue-pablo-campino1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_glue_yeder_lvicente_en.md b/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_glue_yeder_lvicente_en.md
new file mode 100644
index 000000000000..f3db90ae705f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-platzi_distilroberta_base_mrpc_glue_yeder_lvicente_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_yeder_lvicente RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_yeder_lvicente
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_yeder_lvicente` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_yeder_lvicente_en_5.2.0_3.0_1701483218534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_yeder_lvicente_en_5.2.0_3.0_1701483218534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_yeder_lvicente|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distilroberta-base-mrpc-glue-yeder-lvicente
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-platzi_distingroberta_base_mrpc_glue_pixelciosa_en.md b/docs/_posts/ahmedlone127/2023-12-02-platzi_distingroberta_base_mrpc_glue_pixelciosa_en.md
new file mode 100644
index 000000000000..01d80b4790c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-platzi_distingroberta_base_mrpc_glue_pixelciosa_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English platzi_distingroberta_base_mrpc_glue_pixelciosa RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distingroberta_base_mrpc_glue_pixelciosa
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distingroberta_base_mrpc_glue_pixelciosa` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distingroberta_base_mrpc_glue_pixelciosa_en_5.2.0_3.0_1701521511751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distingroberta_base_mrpc_glue_pixelciosa_en_5.2.0_3.0_1701521511751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distingroberta_base_mrpc_glue_pixelciosa|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-distingroberta-base-mrpc-glue-pixelciosa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-platzi_roberta22_base_mrpc_glue_yimmy_cruz_en.md b/docs/_posts/ahmedlone127/2023-12-02-platzi_roberta22_base_mrpc_glue_yimmy_cruz_en.md
new file mode 100644
index 000000000000..baa0ccc059d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-platzi_roberta22_base_mrpc_glue_yimmy_cruz_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English platzi_roberta22_base_mrpc_glue_yimmy_cruz RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_roberta22_base_mrpc_glue_yimmy_cruz
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_roberta22_base_mrpc_glue_yimmy_cruz` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_roberta22_base_mrpc_glue_yimmy_cruz_en_5.2.0_3.0_1701494426263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_roberta22_base_mrpc_glue_yimmy_cruz_en_5.2.0_3.0_1701494426263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_roberta22_base_mrpc_glue_yimmy_cruz|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|435.1 MB|
+
+## References
+
+https://huggingface.co/platzi/platzi-roberta22-base-mrpc-glue-yimmy-cruz
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-politeness_roberta_text_disagreement_binary_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-02-politeness_roberta_text_disagreement_binary_classifier_en.md
new file mode 100644
index 000000000000..06b2b6f8f122
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-politeness_roberta_text_disagreement_binary_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English politeness_roberta_text_disagreement_binary_classifier RoBertaForSequenceClassification from RuyuanWan
+author: John Snow Labs
+name: politeness_roberta_text_disagreement_binary_classifier
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`politeness_roberta_text_disagreement_binary_classifier` is a English model originally trained by RuyuanWan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/politeness_roberta_text_disagreement_binary_classifier_en_5.2.0_3.0_1701505472771.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/politeness_roberta_text_disagreement_binary_classifier_en_5.2.0_3.0_1701505472771.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|politeness_roberta_text_disagreement_binary_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|423.5 MB|
+
+## References
+
+https://huggingface.co/RuyuanWan/Politeness_RoBERTa_Text_Disagreement_Binary_Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-politeness_roberta_text_disagreement_predictor_en.md b/docs/_posts/ahmedlone127/2023-12-02-politeness_roberta_text_disagreement_predictor_en.md
new file mode 100644
index 000000000000..3854a33156f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-politeness_roberta_text_disagreement_predictor_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English politeness_roberta_text_disagreement_predictor RoBertaForSequenceClassification from RuyuanWan
+author: John Snow Labs
+name: politeness_roberta_text_disagreement_predictor
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`politeness_roberta_text_disagreement_predictor` is a English model originally trained by RuyuanWan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/politeness_roberta_text_disagreement_predictor_en_5.2.0_3.0_1701489808198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/politeness_roberta_text_disagreement_predictor_en_5.2.0_3.0_1701489808198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|politeness_roberta_text_disagreement_predictor|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|423.9 MB|
+
+## References
+
+https://huggingface.co/RuyuanWan/Politeness_RoBERTa_Text_Disagreement_Predictor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-praxis_sentiminds_youtube_twitter_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-02-praxis_sentiminds_youtube_twitter_roberta_en.md
new file mode 100644
index 000000000000..ebe742b33745
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-praxis_sentiminds_youtube_twitter_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English praxis_sentiminds_youtube_twitter_roberta RoBertaForSequenceClassification from RanjithN
+author: John Snow Labs
+name: praxis_sentiminds_youtube_twitter_roberta
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`praxis_sentiminds_youtube_twitter_roberta` is a English model originally trained by RanjithN.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/praxis_sentiminds_youtube_twitter_roberta_en_5.2.0_3.0_1701516335598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/praxis_sentiminds_youtube_twitter_roberta_en_5.2.0_3.0_1701516335598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|praxis_sentiminds_youtube_twitter_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/RanjithN/praxis_sentiminds_youtube_twitter_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-project_uspto_en.md b/docs/_posts/ahmedlone127/2023-12-02-project_uspto_en.md
new file mode 100644
index 000000000000..3796c836e7f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-project_uspto_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English project_uspto RoBertaForSequenceClassification from moonahhyun
+author: John Snow Labs
+name: project_uspto
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`project_uspto` is a English model originally trained by moonahhyun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/project_uspto_en_5.2.0_3.0_1701489866229.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/project_uspto_en_5.2.0_3.0_1701489866229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|project_uspto|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.5 MB|
+
+## References
+
+https://huggingface.co/moonahhyun/project-uspto
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-readability_spanish_benchmark_bertin_spanish_sentences_2class_en.md b/docs/_posts/ahmedlone127/2023-12-02-readability_spanish_benchmark_bertin_spanish_sentences_2class_en.md
new file mode 100644
index 000000000000..6a9e5ec5f14a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-readability_spanish_benchmark_bertin_spanish_sentences_2class_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English readability_spanish_benchmark_bertin_spanish_sentences_2class RoBertaForSequenceClassification from lmvasque
+author: John Snow Labs
+name: readability_spanish_benchmark_bertin_spanish_sentences_2class
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`readability_spanish_benchmark_bertin_spanish_sentences_2class` is a English model originally trained by lmvasque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/readability_spanish_benchmark_bertin_spanish_sentences_2class_en_5.2.0_3.0_1701483833105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/readability_spanish_benchmark_bertin_spanish_sentences_2class_en_5.2.0_3.0_1701483833105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|readability_spanish_benchmark_bertin_spanish_sentences_2class|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.4 MB|
+
+## References
+
+https://huggingface.co/lmvasque/readability-es-benchmark-bertin-es-sentences-2class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-readability_spanish_benchmark_bertin_spanish_sentences_3class_en.md b/docs/_posts/ahmedlone127/2023-12-02-readability_spanish_benchmark_bertin_spanish_sentences_3class_en.md
new file mode 100644
index 000000000000..c157db88bc85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-readability_spanish_benchmark_bertin_spanish_sentences_3class_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English readability_spanish_benchmark_bertin_spanish_sentences_3class RoBertaForSequenceClassification from lmvasque
+author: John Snow Labs
+name: readability_spanish_benchmark_bertin_spanish_sentences_3class
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`readability_spanish_benchmark_bertin_spanish_sentences_3class` is a English model originally trained by lmvasque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/readability_spanish_benchmark_bertin_spanish_sentences_3class_en_5.2.0_3.0_1701511664978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/readability_spanish_benchmark_bertin_spanish_sentences_3class_en_5.2.0_3.0_1701511664978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|readability_spanish_benchmark_bertin_spanish_sentences_3class|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.5 MB|
+
+## References
+
+https://huggingface.co/lmvasque/readability-es-benchmark-bertin-es-sentences-3class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-regression_roberta_en.md b/docs/_posts/ahmedlone127/2023-12-02-regression_roberta_en.md
new file mode 100644
index 000000000000..78819d5cc577
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-regression_roberta_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English regression_roberta RoBertaForSequenceClassification from Svetlana0303
+author: John Snow Labs
+name: regression_roberta
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`regression_roberta` is a English model originally trained by Svetlana0303.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/regression_roberta_en_5.2.0_3.0_1701476184789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/regression_roberta_en_5.2.0_3.0_1701476184789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|regression_roberta|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|424.8 MB|
+
+## References
+
+https://huggingface.co/Svetlana0303/Regression_Roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-riskdt_en.md b/docs/_posts/ahmedlone127/2023-12-02-riskdt_en.md
new file mode 100644
index 000000000000..309454a1cfcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-riskdt_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English riskdt RoBertaForSequenceClassification from owen99630
+author: John Snow Labs
+name: riskdt
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`riskdt` is a English model originally trained by owen99630.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/riskdt_en_5.2.0_3.0_1701506754788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/riskdt_en_5.2.0_3.0_1701506754788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|riskdt|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|448.1 MB|
+
+## References
+
+https://huggingface.co/owen99630/riskdt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-robbert_twitter_sentiment_tokenized_en.md b/docs/_posts/ahmedlone127/2023-12-02-robbert_twitter_sentiment_tokenized_en.md
new file mode 100644
index 000000000000..9266a338be5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-robbert_twitter_sentiment_tokenized_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English robbert_twitter_sentiment_tokenized RoBertaForSequenceClassification from btjiong
+author: John Snow Labs
+name: robbert_twitter_sentiment_tokenized
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robbert_twitter_sentiment_tokenized` is a English model originally trained by btjiong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robbert_twitter_sentiment_tokenized_en_5.2.0_3.0_1701514261022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robbert_twitter_sentiment_tokenized_en_5.2.0_3.0_1701514261022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robbert_v2_dutch_base_hebban_reviews5|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|nl|
+|Size:|437.9 MB|
+
+## References
+
+https://huggingface.co/BramVanroy/robbert-v2-dutch-base-hebban-reviews5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_clasificacion_german_texto_supervisado_oskrmiguel_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_clasificacion_german_texto_supervisado_oskrmiguel_en.md
new file mode 100644
index 000000000000..9e077cf47161
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_clasificacion_german_texto_supervisado_oskrmiguel_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_clasificacion_german_texto_supervisado_oskrmiguel RoBertaForSequenceClassification from oskrmiguel
+author: John Snow Labs
+name: roberta_base_bne_clasificacion_german_texto_supervisado_oskrmiguel
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_clasificacion_german_texto_supervisado_oskrmiguel` is a English model originally trained by oskrmiguel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_clasificacion_german_texto_supervisado_oskrmiguel_en_5.2.0_3.0_1701527598566.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_clasificacion_german_texto_supervisado_oskrmiguel_en_5.2.0_3.0_1701527598566.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_clasificacion_german_texto_supervisado_oskrmiguel|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.8 MB|
+
+## References
+
+https://huggingface.co/oskrmiguel/roberta-base-bne-clasificacion-de-texto-supervisado
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_detector_german_stress_detector_german_stress_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_detector_german_stress_detector_german_stress_en.md
new file mode 100644
index 000000000000..aad4d7361b4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_detector_german_stress_detector_german_stress_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_detector_german_stress_detector_german_stress RoBertaForSequenceClassification from ValenHumano
+author: John Snow Labs
+name: roberta_base_bne_detector_german_stress_detector_german_stress
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_detector_german_stress_detector_german_stress` is a English model originally trained by ValenHumano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_detector_german_stress_detector_german_stress_en_5.2.0_3.0_1701507778461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_detector_german_stress_detector_german_stress_en_5.2.0_3.0_1701507778461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_detector_german_stress_detector_german_stress|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.2 MB|
+
+## References
+
+https://huggingface.co/ValenHumano/roberta-base-bne-detector-de-stress-detector-de-stress
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_detector_german_stress_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_detector_german_stress_en.md
new file mode 100644
index 000000000000..60d174bdbe89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_detector_german_stress_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_detector_german_stress RoBertaForSequenceClassification from ValenHumano
+author: John Snow Labs
+name: roberta_base_bne_detector_german_stress
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_detector_german_stress` is a English model originally trained by ValenHumano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_detector_german_stress_en_5.2.0_3.0_1701476064374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_detector_german_stress_en_5.2.0_3.0_1701476064374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_detector_german_stress|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.3 MB|
+
+## References
+
+https://huggingface.co/ValenHumano/roberta-base-bne-detector-de-stress
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_finetuned_personality_multi_3_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_finetuned_personality_multi_3_en.md
new file mode 100644
index 000000000000..dc10feae69cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_finetuned_personality_multi_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_personality_multi_3 RoBertaForSequenceClassification from titi7242229
+author: John Snow Labs
+name: roberta_base_bne_finetuned_personality_multi_3
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_personality_multi_3` is a English model originally trained by titi7242229.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_personality_multi_3_en_5.2.0_3.0_1701483107175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_personality_multi_3_en_5.2.0_3.0_1701483107175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_personality_multi_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|452.1 MB|
+
+## References
+
+https://huggingface.co/titi7242229/roberta-base-bne-finetuned_personality_multi_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_finetuned_personality_multi_4_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_finetuned_personality_multi_4_en.md
new file mode 100644
index 000000000000..e6995acad781
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_finetuned_personality_multi_4_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_personality_multi_4 RoBertaForSequenceClassification from titi7242229
+author: John Snow Labs
+name: roberta_base_bne_finetuned_personality_multi_4
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_personality_multi_4` is a English model originally trained by titi7242229.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_personality_multi_4_en_5.2.0_3.0_1701487272713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_personality_multi_4_en_5.2.0_3.0_1701487272713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_personality_multi_4|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|453.4 MB|
+
+## References
+
+https://huggingface.co/titi7242229/roberta-base-bne-finetuned_personality_multi_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_finetuned_tripadvisor_finetuned_analisis_sentimiento_restmex2023_polaridad_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_finetuned_tripadvisor_finetuned_analisis_sentimiento_restmex2023_polaridad_en.md
new file mode 100644
index 000000000000..dd0b7a5f14f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_bne_finetuned_tripadvisor_finetuned_analisis_sentimiento_restmex2023_polaridad_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_tripadvisor_finetuned_analisis_sentimiento_restmex2023_polaridad RoBertaForSequenceClassification from vg055
+author: John Snow Labs
+name: roberta_base_bne_finetuned_tripadvisor_finetuned_analisis_sentimiento_restmex2023_polaridad
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_tripadvisor_finetuned_analisis_sentimiento_restmex2023_polaridad` is a English model originally trained by vg055.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_tripadvisor_finetuned_analisis_sentimiento_restmex2023_polaridad_en_5.2.0_3.0_1701480884165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_tripadvisor_finetuned_analisis_sentimiento_restmex2023_polaridad_en_5.2.0_3.0_1701480884165.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_tripadvisor_finetuned_analisis_sentimiento_restmex2023_polaridad|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/vg055/roberta-base-bne-finetuned-tripAdvisor-finetuned-analisis-sentimiento-restmex2023-polaridad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_finetuned_imdb_spoilers_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_finetuned_imdb_spoilers_en.md
new file mode 100644
index 000000000000..47b3384569f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_finetuned_imdb_spoilers_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_finetuned_imdb_spoilers RoBertaForSequenceClassification from bhavyagiri
+author: John Snow Labs
+name: roberta_base_finetuned_imdb_spoilers
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_imdb_spoilers` is a English model originally trained by bhavyagiri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_imdb_spoilers_en_5.2.0_3.0_1701480282796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_imdb_spoilers_en_5.2.0_3.0_1701480282796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_imdb_spoilers|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.6 MB|
+
+## References
+
+https://huggingface.co/bhavyagiri/roberta-base-finetuned-imdb-spoilers
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_mnli_willheld_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_mnli_willheld_en.md
new file mode 100644
index 000000000000..df404e4108f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_mnli_willheld_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_mnli_willheld RoBertaForSequenceClassification from WillHeld
+author: John Snow Labs
+name: roberta_base_mnli_willheld
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_mnli_willheld` is a English model originally trained by WillHeld.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_mnli_willheld_en_5.2.0_3.0_1701501806961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_mnli_willheld_en_5.2.0_3.0_1701501806961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_mnli_willheld|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.3 MB|
+
+## References
+
+https://huggingface.co/WillHeld/roberta-base-mnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_ours_rundi_3_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_ours_rundi_3_en.md
new file mode 100644
index 000000000000..29b0dd468d17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_ours_rundi_3_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_ours_rundi_3 RoBertaForSequenceClassification from SkyR
+author: John Snow Labs
+name: roberta_base_ours_rundi_3
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_ours_rundi_3` is a English model originally trained by SkyR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ours_rundi_3_en_5.2.0_3.0_1701530077635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ours_rundi_3_en_5.2.0_3.0_1701530077635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ours_rundi_3|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|429.2 MB|
+
+## References
+
+https://huggingface.co/SkyR/roberta-base-ours-run-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_qqp_2e_5_42_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_qqp_2e_5_42_en.md
new file mode 100644
index 000000000000..57d66ab74c3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_qqp_2e_5_42_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_qqp_2e_5_42 RoBertaForSequenceClassification from TehranNLP-org
+author: John Snow Labs
+name: roberta_base_qqp_2e_5_42
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_qqp_2e_5_42` is a English model originally trained by TehranNLP-org.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_qqp_2e_5_42_en_5.2.0_3.0_1701486246389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_qqp_2e_5_42_en_5.2.0_3.0_1701486246389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_qqp_2e_5_42|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.3 MB|
+
+## References
+
+https://huggingface.co/TehranNLP-org/roberta-base-qqp-2e-5-42
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_sst_2_32_13_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_sst_2_32_13_en.md
new file mode 100644
index 000000000000..c8185b8fe055
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_sst_2_32_13_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_sst_2_32_13 RoBertaForSequenceClassification from simonycl
+author: John Snow Labs
+name: roberta_base_sst_2_32_13
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_sst_2_32_13` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_sst_2_32_13_en_5.2.0_3.0_1701477234002.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_sst_2_32_13_en_5.2.0_3.0_1701477234002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_sst_2_32_13|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|426.1 MB|
+
+## References
+
+https://huggingface.co/simonycl/roberta-base-sst-2-32-13
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_topic_multi_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_topic_multi_en.md
new file mode 100644
index 000000000000..90544125cbb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_topic_multi_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_topic_multi RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_base_topic_multi
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_topic_multi` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_topic_multi_en_5.2.0_3.0_1701489151305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_topic_multi_en_5.2.0_3.0_1701489151305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_topic_multi|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|300.4 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/roberta-base-topic-multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_base_tweet_about_disaster_or_not_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_tweet_about_disaster_or_not_en.md
new file mode 100644
index 000000000000..d3836b7e7187
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_base_tweet_about_disaster_or_not_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_base_tweet_about_disaster_or_not RoBertaForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: roberta_base_tweet_about_disaster_or_not
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_tweet_about_disaster_or_not` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_about_disaster_or_not_en_5.2.0_3.0_1701486137341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_about_disaster_or_not_en_5.2.0_3.0_1701486137341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_tweet_about_disaster_or_not|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.2 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/roberta-base-Tweet_About_Disaster_Or_Not
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_corona_class_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_corona_class_en.md
new file mode 100644
index 000000000000..cbc37483d846
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_corona_class_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_corona_class RoBertaForSequenceClassification from Peed911
+author: John Snow Labs
+name: roberta_corona_class
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_corona_class` is a English model originally trained by Peed911.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_corona_class_en_5.2.0_3.0_1701488673311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_corona_class_en_5.2.0_3.0_1701488673311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_corona_class|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|427.8 MB|
+
+## References
+
+https://huggingface.co/Peed911/Roberta_corona_class
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_crypto_profiling_task1_complete_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_crypto_profiling_task1_complete_en.md
new file mode 100644
index 000000000000..4d3d793db361
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_crypto_profiling_task1_complete_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_crypto_profiling_task1_complete RoBertaForSequenceClassification from pabagcha
+author: John Snow Labs
+name: roberta_crypto_profiling_task1_complete
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_crypto_profiling_task1_complete` is a English model originally trained by pabagcha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_crypto_profiling_task1_complete_en_5.2.0_3.0_1701483690857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_crypto_profiling_task1_complete_en_5.2.0_3.0_1701483690857.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_crypto_profiling_task1_complete|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/pabagcha/roberta_crypto_profiling_task1_complete
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_fine_tuned_sentiment_financial_news_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_fine_tuned_sentiment_financial_news_en.md
new file mode 100644
index 000000000000..23b29ccbecaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_fine_tuned_sentiment_financial_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_fine_tuned_sentiment_financial_news RoBertaForSequenceClassification from RogerKam
+author: John Snow Labs
+name: roberta_fine_tuned_sentiment_financial_news
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_fine_tuned_sentiment_financial_news` is a English model originally trained by RogerKam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_fine_tuned_sentiment_financial_news_en_5.2.0_3.0_1701484691811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_fine_tuned_sentiment_financial_news_en_5.2.0_3.0_1701484691811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_fine_tuned_sentiment_financial_news|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.5 MB|
+
+## References
+
+https://huggingface.co/RogerKam/roberta_fine_tuned_sentiment_financial_news
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_finetuned_da_task_b_100k_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_finetuned_da_task_b_100k_en.md
new file mode 100644
index 000000000000..bd25a140d81a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_finetuned_da_task_b_100k_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_finetuned_da_task_b_100k RoBertaForSequenceClassification from bitsanlp
+author: John Snow Labs
+name: roberta_finetuned_da_task_b_100k
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_da_task_b_100k` is a English model originally trained by bitsanlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_da_task_b_100k_en_5.2.0_3.0_1701522616398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_da_task_b_100k_en_5.2.0_3.0_1701522616398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_da_task_b_100k|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/bitsanlp/roberta-finetuned-DA-task-B-100k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_finetuned_solvencia_v1_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_finetuned_solvencia_v1_en.md
new file mode 100644
index 000000000000..384d820b9e9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_finetuned_solvencia_v1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_finetuned_solvencia_v1 RoBertaForSequenceClassification from mnavas
+author: John Snow Labs
+name: roberta_finetuned_solvencia_v1
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_solvencia_v1` is a English model originally trained by mnavas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_solvencia_v1_en_5.2.0_3.0_1701492808818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_solvencia_v1_en_5.2.0_3.0_1701492808818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_solvencia_v1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|849.2 MB|
+
+## References
+
+https://huggingface.co/mnavas/roberta-finetuned-solvencia-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_finetuned_webclassification_v2_smalllinguaesv2_mnavas_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_finetuned_webclassification_v2_smalllinguaesv2_mnavas_en.md
new file mode 100644
index 000000000000..a0669c9f12d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_finetuned_webclassification_v2_smalllinguaesv2_mnavas_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_finetuned_webclassification_v2_smalllinguaesv2_mnavas RoBertaForSequenceClassification from mnavas
+author: John Snow Labs
+name: roberta_finetuned_webclassification_v2_smalllinguaesv2_mnavas
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_webclassification_v2_smalllinguaesv2_mnavas` is a English model originally trained by mnavas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_webclassification_v2_smalllinguaesv2_mnavas_en_5.2.0_3.0_1701479513299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_webclassification_v2_smalllinguaesv2_mnavas_en_5.2.0_3.0_1701479513299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_webclassification_v2_smalllinguaesv2_mnavas|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|811.7 MB|
+
+## References
+
+https://huggingface.co/mnavas/roberta-finetuned-WebClassification-v2-smalllinguaESv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_large_adhocracy_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_adhocracy_en.md
new file mode 100644
index 000000000000..d860f2d573b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_adhocracy_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_adhocracy RoBertaForSequenceClassification from CultureBERT
+author: John Snow Labs
+name: roberta_large_adhocracy
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_adhocracy` is a English model originally trained by CultureBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_adhocracy_en_5.2.0_3.0_1701491632512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_adhocracy_en_5.2.0_3.0_1701491632512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_adhocracy|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/CultureBERT/roberta-large-adhocracy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_large_bbc_news_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_bbc_news_en.md
new file mode 100644
index 000000000000..be07d20c8b22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_bbc_news_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_bbc_news RoBertaForSequenceClassification from AyoubChLin
+author: John Snow Labs
+name: roberta_large_bbc_news
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_bbc_news` is a English model originally trained by AyoubChLin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_bbc_news_en_5.2.0_3.0_1701491355960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_bbc_news_en_5.2.0_3.0_1701491355960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_bne_cantemist|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/IIC/roberta-large-bne-cantemist
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_large_depression_classification_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_depression_classification_en.md
new file mode 100644
index 000000000000..a35cd749ba28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_depression_classification_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_depression_classification RoBertaForSequenceClassification from Trong-Nghia
+author: John Snow Labs
+name: roberta_large_depression_classification
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_depression_classification` is a English model originally trained by Trong-Nghia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_depression_classification_en_5.2.0_3.0_1701486171616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_depression_classification_en_5.2.0_3.0_1701486171616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_depression_classification|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Trong-Nghia/roberta-large-depression-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_large_e_snli_classification_nli_base_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_e_snli_classification_nli_base_en.md
new file mode 100644
index 000000000000..917fa64f9667
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_e_snli_classification_nli_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_e_snli_classification_nli_base RoBertaForSequenceClassification from k4black
+author: John Snow Labs
+name: roberta_large_e_snli_classification_nli_base
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_e_snli_classification_nli_base` is a English model originally trained by k4black.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_e_snli_classification_nli_base_en_5.2.0_3.0_1701534194090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_e_snli_classification_nli_base_en_5.2.0_3.0_1701534194090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_e_snli_classification_nli_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/k4black/roberta-large-e-snli-classification-nli-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_large_finetuned_non_code_mixed_ds_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_finetuned_non_code_mixed_ds_en.md
new file mode 100644
index 000000000000..81c0b96bd8b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_finetuned_non_code_mixed_ds_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_finetuned_non_code_mixed_ds RoBertaForSequenceClassification from IIIT-L
+author: John Snow Labs
+name: roberta_large_finetuned_non_code_mixed_ds
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_non_code_mixed_ds` is a English model originally trained by IIIT-L.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_non_code_mixed_ds_en_5.2.0_3.0_1701534194206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_non_code_mixed_ds_en_5.2.0_3.0_1701534194206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_non_code_mixed_ds|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/IIIT-L/roberta-large-finetuned-non-code-mixed-DS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_large_finetuned_ours_ds_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_finetuned_ours_ds_en.md
new file mode 100644
index 000000000000..1cef89f5cff7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_finetuned_ours_ds_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_finetuned_ours_ds RoBertaForSequenceClassification from IIIT-L
+author: John Snow Labs
+name: roberta_large_finetuned_ours_ds
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_ours_ds` is a English model originally trained by IIIT-L.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_ours_ds_en_5.2.0_3.0_1701529612736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_ours_ds_en_5.2.0_3.0_1701529612736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_ours_ds|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/IIIT-L/roberta-large-finetuned-ours-DS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_large_legal_v2_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_legal_v2_en.md
new file mode 100644
index 000000000000..c5d7a4dbb48c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_legal_v2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_legal_v2 RoBertaForSequenceClassification from timoneda
+author: John Snow Labs
+name: roberta_large_legal_v2
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_legal_v2` is a English model originally trained by timoneda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_legal_v2_en_5.2.0_3.0_1701499737843.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_legal_v2_en_5.2.0_3.0_1701499737843.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_legal_v2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/timoneda/roberta-large-legal-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_large_qqp_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_qqp_en.md
new file mode 100644
index 000000000000..cdad862b8a7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_qqp_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_qqp RoBertaForSequenceClassification from Shobhank-iiitdwd
+author: John Snow Labs
+name: roberta_large_qqp
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_qqp` is a English model originally trained by Shobhank-iiitdwd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_qqp_en_5.2.0_3.0_1701497050751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_qqp_en_5.2.0_3.0_1701497050751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_qqp|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Shobhank-iiitdwd/RoBERTa-large-QQP
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_large_sst_2_64_13_smoothed_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_sst_2_64_13_smoothed_en.md
new file mode 100644
index 000000000000..19cb57f3d4c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_sst_2_64_13_smoothed_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_sst_2_64_13_smoothed RoBertaForSequenceClassification from simonycl
+author: John Snow Labs
+name: roberta_large_sst_2_64_13_smoothed
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_sst_2_64_13_smoothed` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_sst_2_64_13_smoothed_en_5.2.0_3.0_1701523190748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_sst_2_64_13_smoothed_en_5.2.0_3.0_1701523190748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_sst_2_64_13_smoothed|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/simonycl/roberta-large-sst-2-64-13-smoothed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_large_vira_intents_live_vira_chatbot_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_vira_intents_live_vira_chatbot_en.md
new file mode 100644
index 000000000000..67f154becfff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_large_vira_intents_live_vira_chatbot_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_large_vira_intents_live_vira_chatbot RoBertaForSequenceClassification from vira-chatbot
+author: John Snow Labs
+name: roberta_large_vira_intents_live_vira_chatbot
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_vira_intents_live_vira_chatbot` is a English model originally trained by vira-chatbot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_vira_intents_live_vira_chatbot_en_5.2.0_3.0_1701521383058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_vira_intents_live_vira_chatbot_en_5.2.0_3.0_1701521383058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_vira_intents_live_vira_chatbot|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/vira-chatbot/roberta-large-vira-intents-live
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_nei_fact_check_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_nei_fact_check_en.md
new file mode 100644
index 000000000000..77574c32b86a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_nei_fact_check_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_nei_fact_check RoBertaForSequenceClassification from Dzeniks
+author: John Snow Labs
+name: roberta_nei_fact_check
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_nei_fact_check` is a English model originally trained by Dzeniks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_nei_fact_check_en_5.2.0_3.0_1701497644934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_nei_fact_check_en_5.2.0_3.0_1701497644934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_nei_fact_check|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.5 MB|
+
+## References
+
+https://huggingface.co/Dzeniks/roberta-nei-fact-check
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_pipeiq_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_pipeiq_en.md
new file mode 100644
index 000000000000..690d906043b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_pipeiq_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_pipeiq RoBertaForSequenceClassification from velvrix
+author: John Snow Labs
+name: roberta_pipeiq
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_pipeiq` is a English model originally trained by velvrix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_pipeiq_en_5.2.0_3.0_1701498807503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_pipeiq_en_5.2.0_3.0_1701498807503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_pipeiq|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.0 MB|
+
+## References
+
+https://huggingface.co/velvrix/RoBERTA_pipeiq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_rakshit122_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_rakshit122_en.md
new file mode 100644
index 000000000000..b277eb07faa6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_rakshit122_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_rakshit122 RoBertaForSequenceClassification from Rakshit122
+author: John Snow Labs
+name: roberta_rakshit122
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_rakshit122` is a English model originally trained by Rakshit122.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_rakshit122_en_5.2.0_3.0_1701484964704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_rakshit122_en_5.2.0_3.0_1701484964704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_rakshit122|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|455.5 MB|
+
+## References
+
+https://huggingface.co/Rakshit122/roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_reman_gustavecortal_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_reman_gustavecortal_en.md
new file mode 100644
index 000000000000..c0c600f75fb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_reman_gustavecortal_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_reman_gustavecortal RoBertaForSequenceClassification from gustavecortal
+author: John Snow Labs
+name: roberta_reman_gustavecortal
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_reman_gustavecortal` is a English model originally trained by gustavecortal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_reman_gustavecortal_en_5.2.0_3.0_1701515450308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_reman_gustavecortal_en_5.2.0_3.0_1701515450308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_reman_gustavecortal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/gustavecortal/roberta-reman
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_sentiment_analysis_finetune_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_sentiment_analysis_finetune_en.md
new file mode 100644
index 000000000000..c72bddb2c95c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_sentiment_analysis_finetune_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_sentiment_analysis_finetune RoBertaForSequenceClassification from siberett
+author: John Snow Labs
+name: roberta_sentiment_analysis_finetune
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_sentiment_analysis_finetune` is a English model originally trained by siberett.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_sentiment_analysis_finetune_en_5.2.0_3.0_1701476453462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_sentiment_analysis_finetune_en_5.2.0_3.0_1701476453462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_sentiment_analysis_finetune|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/siberett/roberta-sentiment-analysis-finetune
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_similarity_trained_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_similarity_trained_en.md
new file mode 100644
index 000000000000..071b3c2fc05b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_similarity_trained_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_similarity_trained RoBertaForSequenceClassification from EducativeCS2023
+author: John Snow Labs
+name: roberta_similarity_trained
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_similarity_trained` is a English model originally trained by EducativeCS2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_similarity_trained_en_5.2.0_3.0_1701477585253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_similarity_trained_en_5.2.0_3.0_1701477585253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_similarity_trained|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|440.7 MB|
+
+## References
+
+https://huggingface.co/EducativeCS2023/roberta-similarity-trained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_toxicity_classifier_arsive_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_toxicity_classifier_arsive_en.md
new file mode 100644
index 000000000000..e0a173c1043f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_toxicity_classifier_arsive_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_toxicity_classifier_arsive RoBertaForSequenceClassification from Arsive
+author: John Snow Labs
+name: roberta_toxicity_classifier_arsive
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_toxicity_classifier_arsive` is a English model originally trained by Arsive.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_toxicity_classifier_arsive_en_5.2.0_3.0_1701479405286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_toxicity_classifier_arsive_en_5.2.0_3.0_1701479405286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_toxicity_classifier_arsive|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|460.2 MB|
+
+## References
+
+https://huggingface.co/Arsive/roberta-toxicity-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-roberta_uniacco_en.md b/docs/_posts/ahmedlone127/2023-12-02-roberta_uniacco_en.md
new file mode 100644
index 000000000000..0ffddc1abee2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-roberta_uniacco_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English roberta_uniacco RoBertaForSequenceClassification from velvrix
+author: John Snow Labs
+name: roberta_uniacco
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_uniacco` is a English model originally trained by velvrix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_uniacco_en_5.2.0_3.0_1701481614722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_uniacco_en_5.2.0_3.0_1701481614722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_uniacco|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|452.5 MB|
+
+## References
+
+https://huggingface.co/velvrix/roberta_Uniacco
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-robertuito_pfinal_en.md b/docs/_posts/ahmedlone127/2023-12-02-robertuito_pfinal_en.md
new file mode 100644
index 000000000000..c1a1f2706feb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-robertuito_pfinal_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English robertuito_pfinal RoBertaForSequenceClassification from fredymad
+author: John Snow Labs
+name: robertuito_pfinal
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`robertuito_pfinal` is a English model originally trained by fredymad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertuito_pfinal_en_5.2.0_3.0_1701518714156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertuito_pfinal_en_5.2.0_3.0_1701518714156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertuito_pfinal|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/fredymad/robertuito_Pfinal
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-sarcasm_detection_roberta_base_en.md b/docs/_posts/ahmedlone127/2023-12-02-sarcasm_detection_roberta_base_en.md
new file mode 100644
index 000000000000..b779d057b7f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-sarcasm_detection_roberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sarcasm_detection_roberta_base RoBertaForSequenceClassification from jkhan447
+author: John Snow Labs
+name: sarcasm_detection_roberta_base
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sarcasm_detection_roberta_base` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarcasm_detection_roberta_base_en_5.2.0_3.0_1701479380769.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarcasm_detection_roberta_base_en_5.2.0_3.0_1701479380769.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sarcasm_detection_roberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.9 MB|
+
+## References
+
+https://huggingface.co/jkhan447/sarcasm-detection-RoBerta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-scientific_exaggeration_detection_en.md b/docs/_posts/ahmedlone127/2023-12-02-scientific_exaggeration_detection_en.md
new file mode 100644
index 000000000000..a08b7eb1263f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-scientific_exaggeration_detection_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English scientific_exaggeration_detection RoBertaForSequenceClassification from copenlu
+author: John Snow Labs
+name: scientific_exaggeration_detection
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scientific_exaggeration_detection` is a English model originally trained by copenlu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scientific_exaggeration_detection_en_5.2.0_3.0_1701491251659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scientific_exaggeration_detection_en_5.2.0_3.0_1701491251659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scientific_exaggeration_detection|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|443.8 MB|
+
+## References
+
+https://huggingface.co/copenlu/scientific-exaggeration-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-sensitive_spanish_classifier_en.md b/docs/_posts/ahmedlone127/2023-12-02-sensitive_spanish_classifier_en.md
new file mode 100644
index 000000000000..fe91bf9292d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-sensitive_spanish_classifier_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sensitive_spanish_classifier RoBertaForSequenceClassification from victoriapl01
+author: John Snow Labs
+name: sensitive_spanish_classifier
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sensitive_spanish_classifier` is a English model originally trained by victoriapl01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sensitive_spanish_classifier_en_5.2.0_3.0_1701507605219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sensitive_spanish_classifier_en_5.2.0_3.0_1701507605219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sensitive_spanish_classifier|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.4 MB|
+
+## References
+
+https://huggingface.co/victoriapl01/sensitive_spanish_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-sentiment_roberta_latest_e4_b16_data2_en.md b/docs/_posts/ahmedlone127/2023-12-02-sentiment_roberta_latest_e4_b16_data2_en.md
new file mode 100644
index 000000000000..35b79eacbb0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-sentiment_roberta_latest_e4_b16_data2_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_roberta_latest_e4_b16_data2 RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sentiment_roberta_latest_e4_b16_data2
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_roberta_latest_e4_b16_data2` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_roberta_latest_e4_b16_data2_en_5.2.0_3.0_1701520414482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_roberta_latest_e4_b16_data2_en_5.2.0_3.0_1701520414482.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_roberta_latest_e4_b16_data2|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/JerryYanJiang/sentiment-roberta-latest-e4-b16-data2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random0_seed0_roberta_base_en.md b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random0_seed0_roberta_base_en.md
new file mode 100644
index 000000000000..8fc050681485
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random0_seed0_roberta_base_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random0_seed0_roberta_base RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random0_seed0_roberta_base
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random0_seed0_roberta_base` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random0_seed0_roberta_base_en_5.2.0_3.0_1701516940274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random0_seed0_roberta_base_en_5.2.0_3.0_1701516940274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random0_seed0_roberta_base|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random0_seed0-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random1_seed1_bertweet_large_en.md b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random1_seed1_bertweet_large_en.md
new file mode 100644
index 000000000000..1b075c436593
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random1_seed1_bertweet_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random1_seed1_bertweet_large RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random1_seed1_bertweet_large
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random1_seed1_bertweet_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random1_seed1_bertweet_large_en_5.2.0_3.0_1701542287163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random1_seed1_bertweet_large_en_5.2.0_3.0_1701542287163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random1_seed1_bertweet_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random1_seed1-bertweet-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random2_seed0_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random2_seed0_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 000000000000..82ddaafbcb2e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random2_seed0_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random2_seed0_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random2_seed0_twitter_roberta_large_2022_154m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random2_seed0_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random2_seed0_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701511062604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random2_seed0_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701511062604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random2_seed0_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random2_seed0-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random2_seed2_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random2_seed2_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 000000000000..0ea23a7f0eca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_random2_seed2_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random2_seed2_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random2_seed2_twitter_roberta_large_2022_154m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_random2_seed2_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random2_seed2_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701521802813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random2_seed2_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701521802813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_random2_seed2_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_random2_seed2-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_temporal_twitter_roberta_base_dec2020_en.md b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_temporal_twitter_roberta_base_dec2020_en.md
new file mode 100644
index 000000000000..11d559272578
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_temporal_twitter_roberta_base_dec2020_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_sentiment_small_temporal_twitter_roberta_base_dec2020 RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_temporal_twitter_roberta_base_dec2020
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_temporal_twitter_roberta_base_dec2020` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_temporal_twitter_roberta_base_dec2020_en_5.2.0_3.0_1701518342793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_temporal_twitter_roberta_base_dec2020_en_5.2.0_3.0_1701518342793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_temporal_twitter_roberta_base_dec2020|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_temporal-twitter-roberta-base-dec2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_temporal_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_temporal_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 000000000000..5fa3e1a1bcd2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-sentiment_sentiment_small_temporal_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English sentiment_sentiment_small_temporal_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_temporal_twitter_roberta_large_2022_154m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_sentiment_small_temporal_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_temporal_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701544156867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_temporal_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701544156867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_sentiment_small_temporal_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/sentiment-sentiment_small_temporal-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-summary_roberta_wording_en.md b/docs/_posts/ahmedlone127/2023-12-02-summary_roberta_wording_en.md
new file mode 100644
index 000000000000..46725157818a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-summary_roberta_wording_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English summary_roberta_wording RoBertaForSequenceClassification from tiedaar
+author: John Snow Labs
+name: summary_roberta_wording
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`summary_roberta_wording` is a English model originally trained by tiedaar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/summary_roberta_wording_en_5.2.0_3.0_1701496233477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/summary_roberta_wording_en_5.2.0_3.0_1701496233477.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|summary_roberta_wording|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|436.8 MB|
+
+## References
+
+https://huggingface.co/tiedaar/summary-roberta-wording
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-thesis_constructauxsentence_1_en.md b/docs/_posts/ahmedlone127/2023-12-02-thesis_constructauxsentence_1_en.md
new file mode 100644
index 000000000000..9836e88be955
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-thesis_constructauxsentence_1_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English thesis_constructauxsentence_1 RoBertaForSequenceClassification from UchihaMadara
+author: John Snow Labs
+name: thesis_constructauxsentence_1
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`thesis_constructauxsentence_1` is a English model originally trained by UchihaMadara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/thesis_constructauxsentence_1_en_5.2.0_3.0_1701510399575.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/thesis_constructauxsentence_1_en_5.2.0_3.0_1701510399575.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|thesis_constructauxsentence_1|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/UchihaMadara/Thesis-ConstructAuxSentence-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed1_bertweet_large_en.md b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed1_bertweet_large_en.md
new file mode 100644
index 000000000000..241e02814aa6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed1_bertweet_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_random1_seed1_bertweet_large RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random1_seed1_bertweet_large
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random1_seed1_bertweet_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed1_bertweet_large_en_5.2.0_3.0_1701520033603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed1_bertweet_large_en_5.2.0_3.0_1701520033603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random1_seed1_bertweet_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random1_seed1-bertweet-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed2_roberta_large_en.md b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed2_roberta_large_en.md
new file mode 100644
index 000000000000..2974ca28d83b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed2_roberta_large_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_random1_seed2_roberta_large RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random1_seed2_roberta_large
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random1_seed2_roberta_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed2_roberta_large_en_5.2.0_3.0_1701528513729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed2_roberta_large_en_5.2.0_3.0_1701528513729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random1_seed2_roberta_large|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random1_seed2-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed2_twitter_roberta_base_2021_124m_en.md b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed2_twitter_roberta_base_2021_124m_en.md
new file mode 100644
index 000000000000..af5cf3130ef0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed2_twitter_roberta_base_2021_124m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_random1_seed2_twitter_roberta_base_2021_124m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random1_seed2_twitter_roberta_base_2021_124m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random1_seed2_twitter_roberta_base_2021_124m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed2_twitter_roberta_base_2021_124m_en_5.2.0_3.0_1701540513611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed2_twitter_roberta_base_2021_124m_en_5.2.0_3.0_1701540513611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random1_seed2_twitter_roberta_base_2021_124m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random1_seed2-twitter-roberta-base-2021-124m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed2_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed2_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 000000000000..4b1fedf3b14e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random1_seed2_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_random1_seed2_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random1_seed2_twitter_roberta_large_2022_154m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random1_seed2_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed2_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701545562154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random1_seed2_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701545562154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random1_seed2_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random1_seed2-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random2_seed0_twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random2_seed0_twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 000000000000..dcdd64bb60ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random2_seed0_twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_random2_seed0_twitter_roberta_large_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random2_seed0_twitter_roberta_large_2022_154m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random2_seed0_twitter_roberta_large_2022_154m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random2_seed0_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701526522267.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random2_seed0_twitter_roberta_large_2022_154m_en_5.2.0_3.0_1701526522267.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random2_seed0_twitter_roberta_large_2022_154m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random2_seed0-twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random3_seed1_twitter_roberta_base_2021_124m_en.md b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random3_seed1_twitter_roberta_base_2021_124m_en.md
new file mode 100644
index 000000000000..9cc5c91f91ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-topic_topic_random3_seed1_twitter_roberta_base_2021_124m_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English topic_topic_random3_seed1_twitter_roberta_base_2021_124m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random3_seed1_twitter_roberta_base_2021_124m
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_random3_seed1_twitter_roberta_base_2021_124m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random3_seed1_twitter_roberta_base_2021_124m_en_5.2.0_3.0_1701535183515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random3_seed1_twitter_roberta_base_2021_124m_en_5.2.0_3.0_1701535183515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random3_seed1_twitter_roberta_base_2021_124m|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random3_seed1-twitter-roberta-base-2021-124m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-transformationtransformer3d_en.md b/docs/_posts/ahmedlone127/2023-12-02-transformationtransformer3d_en.md
new file mode 100644
index 000000000000..bc9e083d4280
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-transformationtransformer3d_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English transformationtransformer3d RoBertaForSequenceClassification from simonschoe
+author: John Snow Labs
+name: transformationtransformer3d
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`transformationtransformer3d` is a English model originally trained by simonschoe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transformationtransformer3d_en_5.2.0_3.0_1701545562238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transformationtransformer3d_en_5.2.0_3.0_1701545562238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transformationtransformer3d|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|434.0 MB|
+
+## References
+
+https://huggingface.co/simonschoe/TransformationTransformer3D
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-tweet_colombia_emotions_en.md b/docs/_posts/ahmedlone127/2023-12-02-tweet_colombia_emotions_en.md
new file mode 100644
index 000000000000..a7152bda03d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-tweet_colombia_emotions_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English tweet_colombia_emotions RoBertaForSequenceClassification from jjiguaran
+author: John Snow Labs
+name: tweet_colombia_emotions
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweet_colombia_emotions` is a English model originally trained by jjiguaran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweet_colombia_emotions_en_5.2.0_3.0_1701509007274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweet_colombia_emotions_en_5.2.0_3.0_1701509007274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweet_colombia_emotions|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/jjiguaran/tweet_colombia_emotions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_2021_124m_hate_en.md b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_2021_124m_hate_en.md
new file mode 100644
index 000000000000..0a6650e336c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_2021_124m_hate_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_2021_124m_hate RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_2021_124m_hate
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_2021_124m_hate` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_hate_en_5.2.0_3.0_1701478274458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_hate_en_5.2.0_3.0_1701478274458.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_2021_124m_hate|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m-hate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_2021_124m_offensive_en.md b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_2021_124m_offensive_en.md
new file mode 100644
index 000000000000..3ab0494d85f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_2021_124m_offensive_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_2021_124m_offensive RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_2021_124m_offensive
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_2021_124m_offensive` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_offensive_en_5.2.0_3.0_1701501806833.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_2021_124m_offensive_en_5.2.0_3.0_1701501806833.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_2021_124m_offensive|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m-offensive
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_anger_intensity_en.md b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_anger_intensity_en.md
new file mode 100644
index 000000000000..235add0575cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_anger_intensity_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_anger_intensity RoBertaForSequenceClassification from garrettbaber
+author: John Snow Labs
+name: twitter_roberta_base_anger_intensity
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_anger_intensity` is a English model originally trained by garrettbaber.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_anger_intensity_en_5.2.0_3.0_1701511769328.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_anger_intensity_en_5.2.0_3.0_1701511769328.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_anger_intensity|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/garrettbaber/twitter-roberta-base-anger-intensity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_hate_finetuned_en.md b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_hate_finetuned_en.md
new file mode 100644
index 000000000000..20825b1a019f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_hate_finetuned_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_hate_finetuned RoBertaForSequenceClassification from fahad1247
+author: John Snow Labs
+name: twitter_roberta_base_hate_finetuned
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_hate_finetuned` is a English model originally trained by fahad1247.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_hate_finetuned_en_5.2.0_3.0_1701509298260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_hate_finetuned_en_5.2.0_3.0_1701509298260.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_hate_finetuned|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/fahad1247/twitter-roberta-base-hate-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_stance_atheism_en.md b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_stance_atheism_en.md
new file mode 100644
index 000000000000..ab4a92f3f827
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_stance_atheism_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_stance_atheism RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_stance_atheism
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_stance_atheism` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_stance_atheism_en_5.2.0_3.0_1701476069353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_stance_atheism_en_5.2.0_3.0_1701476069353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_stance_atheism|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-stance-atheism
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_stance_hillary_en.md b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_stance_hillary_en.md
new file mode 100644
index 000000000000..2d9d91401ec5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-twitter_roberta_base_stance_hillary_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_roberta_base_stance_hillary RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_stance_hillary
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_stance_hillary` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_stance_hillary_en_5.2.0_3.0_1701492943779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_stance_hillary_en_5.2.0_3.0_1701492943779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_stance_hillary|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-stance-hillary
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-twitter_sexismo_finetuned_exist2021_metwo_en.md b/docs/_posts/ahmedlone127/2023-12-02-twitter_sexismo_finetuned_exist2021_metwo_en.md
new file mode 100644
index 000000000000..c7f2154add2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-twitter_sexismo_finetuned_exist2021_metwo_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twitter_sexismo_finetuned_exist2021_metwo RoBertaForSequenceClassification from hackathon-pln-es
+author: John Snow Labs
+name: twitter_sexismo_finetuned_exist2021_metwo
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_sexismo_finetuned_exist2021_metwo` is a English model originally trained by hackathon-pln-es.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_sexismo_finetuned_exist2021_metwo_en_5.2.0_3.0_1701504191704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_sexismo_finetuned_exist2021_metwo_en_5.2.0_3.0_1701504191704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_sexismo_finetuned_exist2021_metwo|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.3 MB|
+
+## References
+
+https://huggingface.co/hackathon-pln-es/twitter_sexismo-finetuned-exist2021-metwo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-twittercorona_en.md b/docs/_posts/ahmedlone127/2023-12-02-twittercorona_en.md
new file mode 100644
index 000000000000..eb7ee0449234
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-twittercorona_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English twittercorona RoBertaForSequenceClassification from lukxus
+author: John Snow Labs
+name: twittercorona
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twittercorona` is a English model originally trained by lukxus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twittercorona_en_5.2.0_3.0_1701480394514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twittercorona_en_5.2.0_3.0_1701480394514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twittercorona|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.7 MB|
+
+## References
+
+https://huggingface.co/lukxus/TwitterCorona
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-uzroberta_sentiment_analysis_en.md b/docs/_posts/ahmedlone127/2023-12-02-uzroberta_sentiment_analysis_en.md
new file mode 100644
index 000000000000..0f1cd6a03b59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-uzroberta_sentiment_analysis_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English uzroberta_sentiment_analysis RoBertaForSequenceClassification from murodbek
+author: John Snow Labs
+name: uzroberta_sentiment_analysis
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`uzroberta_sentiment_analysis` is a English model originally trained by murodbek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uzroberta_sentiment_analysis_en_5.2.0_3.0_1701506526839.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uzroberta_sentiment_analysis_en_5.2.0_3.0_1701506526839.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uzroberta_sentiment_analysis|
+|Compatibility:|Spark NLP 5.2.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[documents, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|314.0 MB|
+
+## References
+
+https://huggingface.co/murodbek/uzroberta-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2023-12-02-w1g_en.md b/docs/_posts/ahmedlone127/2023-12-02-w1g_en.md
new file mode 100644
index 000000000000..c5471f847b97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2023-12-02-w1g_en.md
@@ -0,0 +1,97 @@
+---
+layout: model
+title: English w1g RoBertaForSequenceClassification from aloxatel
+author: John Snow Labs
+name: w1g
+date: 2023-12-02
+tags: [roberta, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.2.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`w1g` is a English model originally trained by aloxatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/w1g_en_5.2.0_3.0_1701526544814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/w1g_en_5.2.0_3.0_1701526544814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+